Index for machi

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CVPL: Associazione Italiana in Computer Vision, Pattern Recognition and machi ne Learning

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Ex machina: An Interactive Museum Kit for Supporting Educational Processes in Industrial Heritage Museums
Paleographer's Eye ex machina: Using Computer Vision to Assist Humanists in Scribal Hand Identification, The

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Spatial Recognition for the Automatic Recognition of machinable Features in Solid Models

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15th Annual British machine Vision Conference (BMVC 2004)
1D Barcode Region Detection Based on the Hough Transform and Support Vector machine
20th Anniversary of the IEEE Transactions on Pattern Analysis and machine Intelligence, The
3-D Imaging Advances Capabilities of machine Vision: Part I
3-D Imaging Advances Capabilities of machine Vision: Part II
3-D Imaging Advances Capabilities of machine Vision: Part III
3-Dimensional machine-Vision Approach for Automatic Robot Programming, A
30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform, A
3D Human Pose machines with Self-Supervised Learning
3D Image Reconstruction Algorithm of Electrical Capacitance Tomography Based on Support Vector machines, A
3D Object Recognition: Interpretation Tree Search on a MIMD machine
46-Year (1973-2019) Permafrost Landscape Changes in the Hola Basin, Northeast China Using machine Learning and Object-Oriented Classification
6DOF calibration of a camera with respect to the wrist of a 5-axis machine tool
8-Day and Daily Maximum and Minimum Air Temperature Estimation via machine Learning Method on a Climate Zone to Global Scale
AAAI Fall Symposium on machine Learning in Computer Vision
Abnormal Odor Detection in Electronic Nose via Self-Expression Inspired Extreme Learning machine
Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and machine Learning Methods
Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using machine Learning
Accelerated Variance Reduction Stochastic ADMM for Large-Scale machine Learning
Acceleration of Kvazaar HEVC Intra Encoder With machine Learning
Accessing the Impact of Meteorological Variables on machine Learning Flood Susceptibility Mapping
Accounting for Training Data Error in machine Learning Applied to Earth Observations
accuracy and value of machine-generated image tags: Design and user evaluation of an end-to-end image tagging system, The
Accurate abandoned and removed object classification using hierarchical finite state machine
Accurate classification of nodules and non-nodules from computed tomography images based on radiomics and machine learning algorithms
Accurately Predicting Quality of Services in IoT via Using Self-Attention Representation and Deep Factorization machines
Action machine: Toward Person-Centric Action Recognition in Videos
Action Recognition in Broadcast Tennis Video Using Optical Flow and Support Vector machine
Action recognition using Partial Least Squares and Support Vector machines
Active contour model of breast cancer DCE-MRI segmentation with an extreme learning machine and a fuzzy C-means cluster
Active Learning with Support Vector machines in Remotely Sensed Image Classification
Active Learning with Support Vector machines in the Relevance Feedback Document Retrieval
Active machine Learning Approach for Crater Detection From Planetary Imagery and Digital Elevation Models
Active-Learning Approaches for Landslide Mapping Using Support Vector machines
Adaptable Image Retrieval System With Relevance Feedback Using Kernel machines and Selective Sampling, An
Adaptation Strategies for Automated machine Learning on Evolving Data
Adaptive Chirplet Decomposition Method and Its Application in machine Fault Diagnosis
Adaptive Classification for Hyperspectral Image Data Using Manifold Regularization Kernel machines
Adaptive CU Size Decision Algorithm for HEVC Intra Prediction Based on Complexity Classification Using machine Learning, An
Adaptive Decision Forest: An incremental machine learning framework
Adaptive ECG Compression Using Support Vector machine
Adaptive General Type-2 Fuzzy Logic Approach for Psychophysiological State Modeling in Real-Time Human-machine Interfaces, An
Adaptive Human-Centric Video Compression for Humans and machines
Adaptive Incremental Learning with an Ensemble of Support Vector machines
Adaptive L-Predictors Based on Finite State machine Context Selection
Adaptive Lighting for machine Vision Applications
Adaptive loss function based least squares one-class support vector machine
Adaptive machine Director, An
adaptive machine learning approach to improve automatic iceberg detection from SAR images, An
Adaptive machine learning strategies for network calibration of IoT smart air quality monitoring devices
Adaptive Pattern Recognition Systems and Boltzmann machines: A Rapprochement
Adaptive Pixel Neighborhood Definition for the Classification of Hyperspectral Images with Support Vector machines and Composite Kernel
Adaptive Recognition Of Chinese Characters: Imitation of Psychological Process in machine Recognition
Adaptive simplification of solution for support vector machine
Adaptive single image dehazing method based on support vector machine
Adaptive Steering Torque Coupling Framework Considering Conflict Resolution for Human-machine Shared Driving
Adaptive Transductive Transfer machine
Additive Support Vector machines for Pattern Classification
Addressing corner detection issues for machine vision based UAV aerial refueling
Advance flood detection and notification system based on sensor technology and machine learning algorithm
Advanced Financial Data Processing and Labeling Methods for machine Learning
Advanced machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management
Advanced machine Learning and Deep Learning Approaches for Remote Sensing
Advanced machine Learning and Deep Learning Approaches for Remote Sensing II
Advanced machine Learning Methods for Major Hurricane Forecasting
Advanced machine Learning Optimized by The Genetic Algorithm in Ionospheric Models Using Long-Term Multi-Instrument Observations
Advanced Man-machine Interface for Cultural Heritage
Advances in machine Vision: Strategies and Applications
Advances in Remote Sensing Technology, machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment
Advancing of Land Surface Temperature Retrieval Using Extreme Learning machine and Spatio-Temporal Adaptive Data Fusion Algorithm
Adversarial Biometric Recognition: A review on biometric system security from the adversarial machine-learning perspective
Adversarial machine Learning Attacks Against Video Anomaly Detection Systems
Adversarial machine Learning in Computer Vision
Adversarial machine Learning in Image Classification: A Survey Toward the Defender's Perspective
Adversarial machine Learning: Attacks From Laboratories to the Real World
Aerial LiDAR Data Classification Using Support Vector machines (SVM)
Aerial Photogrammetry and machine Learning Based Regional Landslide Susceptibility Assessment for An Earthquake Prone Area In Turkey
Aerial Point Cloud Classification With Deep Learning and machine Learning Algorithms
Affective level design for a role-playing videogame evaluated by a brain-computer interface and machine learning methods
Affective Visual Perception Using machine Pareidolia of Facial Expressions
Age estimation using Active Appearance Models and Support Vector machine regression
Ai Explainability. A Bridge Between machine Vision and Natural Language Processing
AI Hunts for Hidden Minerals: machine Learning is Uncovering Hoards of Vital EV Battery Metals
Air Temperature Monitoring over Low Latitude Rice Planting Areas: Combining Remote Sensing, Model Assimilation, and machine Learning Techniques
Airborne Hyperspectral Images and machine Learning Algorithms for the Identification of Lupine Invasive Species in Natura 2000 Meadows
Airborne Kite Tether Force Estimation and Experimental Validation Using Analytical and machine Learning Models for Coastal Regions
Airborne Radiometric Surveys and machine Learning Algorithms for Revealing Soil Texture
Algorithm and Architecture Design of Human-machine Interaction in Foreground Object Detection With Dynamic Scene
algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods, An
algorithm to estimate the crown patterns of diamonds based on machine vision, An
Algorithmic optimisation of histogram intersection kernel support vector machine-based pedestrian detection using low complexity features
Algorithmic Techniques for Computer Vision on a Fine-Grained Parallel machine
Algorithms for Median Filtering of Images on a Pyramid machine
Algorithms for Optical Flow Estimation in Real-Time on Connection machine-2
All-in-one multicategory least squares nonparallel hyperplanes support vector machine
All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on machine Learning
Ambiance in Social Media Venues: Visual Cue Interpretation by machines and Crowds
Ambient PM2.5 Estimates and Variations during COVID-19 Pandemic in the Yangtze River Delta Using machine Learning and Big Data
Analog signal processing solution for machine vision applications
Analysing Process and Probability of Built-Up Expansion Using machine Learning and Fuzzy Logic in English Bazar, West Bengal
Analysis and Performance of Two Middle-Level Vision Tasks on a Fine-Grained SIMD Tree machine, The
Analysis of Causal Interactions and Predictive Modelling of Financial Markets Using Econometric Methods, Maximal Overlap Discrete Wavelet Transformation and machine Learning: A Study in Asian Context
Analysis of Multi-dimensional Images on the Connection machine System
Analysis of Neural Image Compression Networks for machine-To-Machine Communication
Analysis of Neural Image Compression Networks for machine-To-Machine Communication
Analysis of the Effect of Sensors for End-to-End machine Learning Odometry
Analysis of Upper-Extremity Motion and Muscle and Brain Activation During machine Operation in Consideration of Mass and Friction
Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector machine Classifier
Analysis on Mental Stress of Professionals and Pregnant Women Using machine Learning Techniques
Analytical Framework for Trusted machine Learning and Computer Vision Running with Blockchain, An
Analyzing EEG Data with machine and Deep Learning: A Benchmark
Analyzing Semantic Segmentation Using Hybrid Human-machine CRFs
Analyzing the Behaviors of OpenStreetMap Volunteers in Mapping Building Polygons Using a machine Learning Approach
Anatomical multiatlas segmentation using local texture statistical properties for matching descriptor with machine learning
Animated Spatial Time machine in Co-Creation: Reconstructing History Using Gamification Integrated into 3D City Modelling, 4D Web and Transmedia Storytelling, An
Annual Daily Irradiance Analysis of Clusters in Mexico by machine Learning Algorithms
Anomalous trajectory detection using support vector machines
Anomaly Detection for Urban Vehicle GNSS Observation with a Hybrid machine Learning System
Anomaly detection in crowd scenes via online adaptive one-class support vector machines
Appearance Models of Three-Dimensional Shape for machine Vision and Graphics
Appearance-Based Smile Intensity Estimation by Cascaded Support Vector machines
Applicability Assessment of Passive Microwave LST Downscaling over Semi-Homogeneous Desert Underlying Surface Based on machine Learning
Application and analysis of image recognition technology based on Artificial Intelligence -- machine learning algorithm as an example
Application and research progress of machine learning in Bioinformatics
Application of a Fusion Model Based on machine Learning in Visibility Prediction
Application of Advanced machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
Application of an Unmanned Aerial System and machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials, The
Application of Ensemble-Based machine Learning Models to Landslide Susceptibility Mapping
Application of machine and Deep Learning Strategies for The Classification of Heritage Point Clouds
Application of machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data
Application of machine Learning for Simulation of Air Temperature at Dome A
Application of machine Learning in Forecasting the Impact of Mining Deformation: A Case Study of Underground Copper Mines in Poland
Application of machine Learning to Debris Flow Susceptibility Mapping along the China-Pakistan Karakoram Highway
Application Of machine Learning To The Prediction Of Vegetation Health
Application of machine Learning to Tree Species Classification Using Active and Passive Remote Sensing: A Case Study of the Duraer Forestry Zone
Application of machine vision in improving safety and reliability for gear profile measurement
Application of machine-Learning Model for Analyzing the Impact of Land-Use Change on Surface Water Resources in Gauteng Province, South Africa, An
Application of machine-learning techniques toward the creation of a consistent and calibrated global chlorophyll concentration baseline dataset using remotely sensed ocean color data
Application of machine-Learning-Based Fusion Model in Visibility Forecast: A Case Study of Shanghai, China
application of one-class support vector machines in content-based image retrieval, An
Application of Probabilistic and machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran
Application of smoothing technique on twin support vector machines
Application of Supervised machine Learning Technique on LiDAR Data for Monitoring Coastal Land Evolution
Application Of Support Vector machine (SVM) Using CIELab Color Model, Color Intensity And Color Constancy As Features For Ortho Image Classification Of Benthic Habitats In Hinatuan, Surigao Del Sur, Philippines, The
application of support vector machine classification to detect cell nuclei for automated microscopy, The
Application of Support Vector machine to Detect Microbial Spoilage of Mushrooms
Application of support vector machines classifiers to visual speech recognition
Application of support-vector-machine-based method for feature selection and classification of thyroid nodules in ultrasound images
Application of Wave Atoms Decomposition and Extreme Learning machine for Fingerprint Classification
Application Research of Support Vector machine in Multi-Spectra Remote Sensing Image Classification
Applications of Artificial Intelligence 1993: machine Vision and Robotics
Applications of Artificial Intelligence X: machine Vision and Robotics
Applications of Dynamic Monocular machine Vision
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets
Applying hand gesture recognition and joint tracking to a TV controller using CNN and Convolutional Pose machine
Applying Human Knowledge to Improve machine Recognition of Confusing Handwritten Numerals
Applying machine consciousness models in autonomous situated agents
Applying machine Learning and Data Fusion to the Missing Person Problem
Applying machine Learning and Time-Series Analysis on Sentinel-1A SAR/InSAR for Characterizing Arctic Tundra Hydro-Ecological Conditions
Applying machine Learning for Sensor Data Analysis in Interactive Systems: Common Pitfalls of Pragmatic Use and Ways to Avoid Them
Applying machine Learning Techniques to Transportation Mode Recognition Using Mobile Phone Sensor Data
Applying machine learning to screen for acute myocardial infarction-related biomarkers and immune infiltration features and validate it clinically and experimentally
Approach for Predicting Global Ionospheric TEC Using machine Learning, An
Approach for shadow detection and removal using machine learning techniques
Approach to Improve the Spatial Resolution and Accuracy of AMSR2 Passive Microwave Snow Depth Product Using machine Learning in Northeast China, An
Approach to Model-based 3-D Recognition of Vehicles in Real Time by machine Vision, An
Approach Using Mathematical Morphology and Support Vector machines to Detect Features in Pipe Images, An
Approximate Support Vector machines Solver with Budget Control, An
Aptura machine Vision Solutions
Arabic Optical Character Recognition System Using Restricted Boltzmann machines, An
Arabic/Latin and machine-printed/Handwritten Word Discrimination using HOG-based Shape Descriptor
Arbitrary Point Tracking with machine Learning to Measure Cardiac Strains in Tagged MRI
Archaeologic machine Learning for Shipwreck Detection Using Lidar and Sonar
Archaeological Predictive Modeling Using machine Learning and Statistical Methods for Japan and China
Architecture and Applications of the Connection machine
Arctic HARE: A machine Learning-Based System for Performance Analysis of Cross-Country Skiers
Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using machine Learning-Based Lead Detection
Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal machine Comprehension
Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D machine Perception
Art of Robustness: Devil and Angel in Adversarial machine Learning, The
Artificial Mangrove Species Mapping Using Pleiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected machine Learning Algorithms
ASM fitting method based on machine learning that provides a robust parameter initialization for AAM fitting, An
Assessing agreement between human and machine clusterings of image databases
Assessing Deep Convolutional Neural Networks and Assisted machine Perception for Urban Mapping
Assessing Durum Wheat Yield through Sentinel-2 Imagery: A machine Learning Approach
Assessing the Changes in the Moisture/Dryness of Water Cavity Surfaces in Imlili Sebkha in Southwestern Morocco by Using machine Learning Classification in Google Earth Engine
Assessing the Effect of Training Sampling Design on the Performance of machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine
Assessing the Generalization of machine Learning-Based Slope Failure Prediction to New Geographic Extents
Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different machine Learning Approaches
Assessing the Leaf Blade Nutrient Status of Pinot Noir Using Hyperspectral Reflectance and machine Learning Models
Assessing the Sensitivity of Vegetation Cover to Climate Change in the Yarlung Zangbo River Basin Using machine Learning Algorithms
Assessing the Yield of Wheat Using Satellite Remote Sensing-Based machine Learning Algorithms and Simulation Modeling
Assessing Transferability of Remote Sensing Pasture Estimates Using Multiple machine Learning Algorithms and Evaluation Structures
Assessment and Comparison of Six machine Learning Models in Estimating Evapotranspiration over Croplands Using Remote Sensing and Meteorological Factors
Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector machines
Assessment of Citrus Fruit Quality Using a Real-time machine Vision System
Assessment of Faster R-CNN in Man-machine Collaborative Search
assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery, An
Assessment of machine and Deep Learning Approaches for Fault Diagnosis in Photovoltaic Systems Using Infrared Thermography
Assessment of machine Learning Algorithms for Automatic Benthic Cover Monitoring and Mapping Using Towed Underwater Video Camera and High-Resolution Satellite Images
Assessment of machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame
Assessment of machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico
Assessment of machine Learning Techniques for Oil Rig Classification in C-Band SAR Images
Assessment of Sentinel-2 Images, Support Vector machines and Change Detection Algorithms for Bark Beetle Outbreaks Mapping in the Tatra Mountains
Assessment of Six machine Learning Methods for Predicting Gross Primary Productivity in Grassland
assessment of support vector machines for land cover classification, An
Assimilation of Deep Learning and machine Learning Schemes into a Remote Sensing-Incorporated Crop Model to Simulate Barley and Wheat Productivities
Associations between Street-View Perceptions and Housing Prices: Subjective vs. Objective Measures Using Computer Vision and machine Learning Techniques
Asymmetric Bagging and Random Subspace for Support Vector machines-Based Relevance Feedback in Image Retrieval
Atlas-based segmentation of brain MR images using least square support vector machines
Atmospheric-correction-free red tide quantification algorithm for GOCI based on machine learning combined with a radiative transfer simulation
Attack-agnostic Adversarial Detection on Medical Data Using Explainable machine Learning
Attribute Grammar Based Framework for machine Dependent Computational Optimizations of Media Processing Algorithms, An
Audio-Based machine Learning Model for Traffic Congestion Detection
Augmenting CRFs with Boltzmann machine Shape Priors for Image Labeling
Authentication Of Copy Detection Patterns Under machine Learning Attacks: A Supervised Approach
Auto-correlation wavelet support vector machine
Auto-Correlation Wavelet Support Vector machine and Its Applications to Regression
Automated Aerosol Classification from Spectral UV Measurements Using machine Learning Clustering
automated and fast system to identify COVID-19 from X-ray radiograph of the chest using image processing and machine learning, An
Automated Bale Mapping Using machine Learning and Photogrammetry
Automated Built-Up Infrastructure Land Cover Extraction Using Index Ensembles with machine Learning, Automated Training Data, and Red Band Texture Layers
Automated CAD Conversion with the machine Drawing Understanding System
Automated CAD Conversion with the machine Drawing Understanding System: Concepts, Algorithms, and Performance
Automated iceberg tracking with a machine learning approach applied to SAR imagery: A Weddell sea case study
Automated Inspection Of machine Parts
Automated inspection of spur gears using machine vision approach
Automated Inspection Station for machine-Vision Grading of Potatoes, An
Automated Interpretation of Ventilation-Perfusion Lung Scintigrams for the Diagnosis of Pulmonary Embolism Using Support Vector machines
Automated machine Learning (AutoML) Method of Risk Prediction for Decision-Making of Autonomous Vehicles, An
Automated machine Learning for High-Throughput Image-Based Plant Phenotyping
Automated machine Learning Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition Approaches, An
Automated mapping of building facades by machine learning
Automated Mapping of Woody Debris over Harvested Forest Plantations Using UAVs, High-Resolution Imagery, and machine Learning
Automated Procurement of Training Data for machine Learning Algorithm on Ship Detection Using AIS Information
Automated Segmentation of Brain Tumor Using Optimal Texture Features and Support Vector machine Classifier
Automated segmentation of multiple sclerosis lesion in intensity enhanced flair MRI using texture features and support vector machine
Automated Snow Mapper Powered by machine Learning, An
Automated Vehicle Identification Based on Car-Following Data With machine Learning
Automated VIIRS Boat Detection Based on machine Learning and Its Application to Monitoring Fisheries in the East China Sea
Automatic Accident Detection, Segmentation and Duration Prediction Using machine Learning
Automatic Classification of Fresco Fragments: A machine and Deep Learning Study
Automatic Classification of Optical Defects of Mirrors from Ronchigram Images Using Bag of Visual Words and Support Vector machines
Automatic classification of traffic incident's severity using machine learning approaches
Automatic CRP Mapping Using Nonparametric machine Learning Approaches
Automatic Detection and Recognition of 3d Manual Gestures For Human-machine Interaction
Automatic detection of brain tumor in magnetic resonance images using multi-texton histogram and support vector machine
Automatic Detection of Injection Attacks by machine Learning in NoSQL Databases
Automatic detection of Martian dark slope streaks by machine learning using HiRISE images
Automatic Detection of Pseudocodes in Scholarly Documents Using machine Learning
Automatic Dimensional Inspection of machine Part Cross-Section Using Fourier Analysis
Automatic Emulation by Adaptive Relevance Vector machines
Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field
Automatic Extraction of Gravity Waves from All-Sky Airglow Image Based on machine Learning
Automatic Eye Detection in Human Faces Using Geostatistical Functions and Support Vector machines
Automatic Eye Winks Interpretation System for Human-machine Interface
Automatic Face Recognition by Support Vector machines
Automatic Features Detection in a Fluvial Environment through machine Learning Techniques Based on UAVs Multispectral Data
Automatic feed system based on machine vision
Automatic fire pixel detection using image processing: a comparative analysis of rule-based and machine learning-based methods
Automatic Human Knee Cartilage Segmentation from Multi-contrast MR Images Using Extreme Learning machines and Discriminative Random Fields
Automatic Identification of Liquefaction Induced by 2021 Maduo Mw7.3 Earthquake Based on machine Learning Methods
Automatic inspection system using machine vision
Automatic machine Learning of Decision Rules for Classification Problems in Image Analysis
Automatic machine vision calibration using statistical and neural network methods
Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine
Automatic musical genre classification using sparsity-eager support vector machines
Automatic Navigation System for Vision Guided Vehicles Using a Double Heuristic and a Finite State machine, An
Automatic Observation of the Dry Line in paper machine
Automatic Pathology Annotation on Medical Images: A Statistical machine Translation Framework
Automatic Programming of Binary Morphological machines by Design of Statistically Optimal Operators in the Context of Computational Learning Theory
Automatic Sensor and Light Source Positioning for machine Vision
Automatic separation of machine-printed and hand-written text lines
Automatic Ship Detection Using the Artificial Neural Network and Support Vector machine from X-Band SAR Satellite Images
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector machine Active Learning
Automatic Target Scoring System Using machine Vision
Automatic Thread-Level Canvas Analysis: A machine-learning approach to analyzing the canvas of paintings
Automatic UAV Forced Landing Site Detection Using machine Learning
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable machine Learning
Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised machine Learning
Autonomous face recognition machine
Autonomous Intelligent machines
Autonomous Landing Of Airplanes By Dynamic machine Vision
Autonomous Reading machine, An
Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State machine
BA-based algorithm for parameter optimization of Support Vector machine, A
Background subtraction using Gaussian-Bernoulli restricted Boltzmann machine
Balanced Relative Margin machine: The missing piece between FDA and SVM classification
Balanced Vs Imbalanced Training Data: Classifying Rapideye Data With Support Vector machines
Ball detection in static images with Support Vector machines for classification
Banana Mapping in Heterogenous Smallholder Farming Systems Using High-Resolution Remote Sensing Imagery and machine Learning Models with Implications for Banana Bunchy Top Disease Surveillance
Bargaining Game-Based Human-machine Shared Driving Control Authority Allocation Strategy, A
Barrett's esophagus analysis using infinity Restricted Boltzmann machines
Base Layer Efficiency in Scalable Human-machine Coding
Bathymetric Detection of Fluvial Environments through UASs and machine Learning Systems
Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with machine Learning
Bayes machines for binary classification
Bayesian and Classical machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures
Bayesian face recognition using support vector machine and face clustering
Bayesian Inference in Model-Based machine Vision
Bayesian machine Learning: EEG/MEG signal processing measurements
Bayesian Multi-Hyperplane machine for Pattern Recognition
Bayesian Network Refinement Via machine Learning Approach
Bayesian Ying-Yang machine, Clustering and Number of Clusters
Becoming the expert: Interactive multi-class machine teaching
Benchmark Of machine Learning Methods For Classification Of A Sentinel-2 Image
Benchmarking machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data
Benthic Habitat Mapping Model and Cross Validation Using machine-Learning Classification Algorithms
Best of both worlds: Human-machine collaboration for object annotation
Best Rated Human-machine Interface Design for Autonomous Vehicles in the 2016 Grand Cooperative Driving Challenge, The
Beyond Principal Components: Deep Boltzmann machines for face modeling
Beyond RMSE: Do machine-Learned Models of Road User Interaction Produce Human-Like Behavior?
Bezier and Splines in Image Processing and machine Vision
Bias and Variance Multi-objective Optimization for Support Vector machines Model Selection
Big Universe, Big Data: machine Learning and Image Analysis for Astronomy
Bilinear heterogeneous information machine for RGB-D action recognition
Binarization of Color Character Strings in Scene Images Using K-Means Clustering and Support Vector machines
Binarization of Color Characters in Scene Images Using k-means Clustering and Support Vector machines
Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector machines
Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machine
Biologically Inspired machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System
Biologically Inspired machine Vision
Biometric-Enabled Authentication machines: A Survey of Open-Set Real-World Applications
Biometrics from Brain Electrical Activity: A machine Learning Approach
Blind Image Deconvolution Using machine Learning for Three-Dimensional Microscopy
Blind quality estimator for 3D images based on binocular combination and extreme learning machine
BMVA: British machine Vision Association
Boltzmann machine, Simulated Annealing, and Related Topics
Boosted Genetic Algorithm Using machine Learning for Traffic Control Optimization
Boosting Vehicle-to-Cloud Communication by machine Learning-Enabled Context Prediction
Bound estimation-based safe acceleration for maximum margin of twin spheres machine with pinball loss
Brain Imaging Genomics: Integrated Analysis and machine Learning
brain in the machine: MIT is building robots that use full-body teleoperation to move with greater agility, The
Brain-Computer Interface, Brain-machine Interface, Biomimetic
Brain-machine Coupled Learning Method for Facial Emotion Recognition
Brain-machine Interfaces: Basis and Advances
Breast cancer histopathology image classification using kernelized weighted extreme learning machine
Bridging machine Learning and Cryptography in Defence Against Adversarial Attacks
Bridging the Gap Between Graph Edit Distance and Kernel machines
Bridging the Gap Between Image Coding for machines and Humans
Bridging the Gap between Social Animal and Unsocial machine: A Survey of Social Signal Processing
British machine Vision Conference
British machine Vision Conference 1993
British machine Vision Conference 1998
British machine Vision Conference 1999
British machine Vision Conference 2000
British-machine-Vision-Conference 1996
Building A Model for Reservoir Characterisation In GIS Using machine Learning
Building Emotional machines: Recognizing Image Emotions Through Deep Neural Networks
Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on machine Learning and Segmentation
Building Function Type Identification Using Mobile Signaling Data Based on a machine Learning Method
Building Roof Segmentation and Modeling from LIDAR Point Clouds Using machine Learning Techniques
Buildings Detection and Extraction by machine Learning
Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector machine Trained by Active Fires
Burned Area Mapping Using Support Vector machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery
BUS-CAD: A computer-aided diagnosis system for breast tumor classification in ultrasound images using grid-search-optimized machine learning algorithms with extended and Boruta-selected features
Camera Geometries for Image Matching in 3-D machine Vision
Camera Models and machine Perception
Can a machine Generate Humanlike Language Descriptions for a Remote Sensing Image?
Can a machine have two systems for recognition, like human beings?
Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach
Can machine Learning Algorithms Successfully Predict Grassland Aboveground Biomass?
Can machines Generate Personalized Music? A Hybrid Favorite-Aware Method for User Preference Music Transfer
Can machines Learn to Map Creative Videos to Marketing Campaigns?
Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and machine Learning in Structurally Rich Temperate Forests
Canopy Height Estimation Using Sentinel Series Images through machine Learning Models in a Mangrove Forest
Canopy Height Mapping by Sentinel 1 and 2 Satellite Images, Airborne LiDAR Data, and machine Learning
Carbon Emissions Estimation and Spatiotemporal Analysis of China at City Level Based on Multi-Dimensional Data and machine Learning
Cardiotocography Analysis Using Conjunction of machine Learning Algorithms
Cascade Attention machine for Occluded Landmark Detection in 2D X-Ray Angiography
Cascading machine Learning to Monitor Volcanic Thermal Activity Using Orbital Infrared Data: From Detection to Quantitative Evaluation
Categorical image retrieval through genetically optimized support vector machines (GOSVM) and hybrid texture features
CBSA: content-based soft annotation for multimodal image retrieval using bayes point machines
Cell migration analysis: Segmenting scratch assay images with level sets and support vector machines
Cell morphology classification and clutter mitigation in phase-contrast microscopy images using machine learning
CellDefectNet: A machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection
Cellular Watersheds: A Parallel Implementation of the Watershed Transform on the CNN Universal machine
Centralized and Localized Data Congestion Control Strategy for Vehicular Ad Hoc Networks Using a machine Learning Clustering Algorithm
Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using machine Learning in Morocco
challenge of general machine vision, The
Challenges in Content-Based Image Indexing of Cultural Heritage Collections: Support vector machine active learning with applications to text classification
Challenges in Procedural Multimodal machine Comprehension: A Novel Way To Benchmark
Change Detection for Heterogeneous Remote Sensing Images with Improved Training of Hierarchical Extreme Learning machine (HELM)
Character recognition by complex filtering in reading machines
Character recognition for the machine reader zone of electronic identity cards
Characterizing Soil Stiffness Using Thermal Remote Sensing and machine Learning
Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, machine Learning, and Conformal Prediction
China's Wealth Capital Stock Mapping via machine Learning Methods
Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space
Choosing the Right Horizontal Resolution for Gully Erosion Susceptibility Mapping Using machine Learning Algorithms: A Case in Highly Complex Terrain
Chunk incremental learning for cost-sensitive hinge loss support vector machine
Class sparsity signature based Restricted Boltzmann machine
Class-specific mid-level feature learning with the Discriminative Group-wise Beta-Bernoulli process restricted Boltzmann machines
Classification and identification of degraded alpine meadows based on machine learning techniques
Classification and Identification of Spectral Pixels with Low Maritime Occupancy Using Unsupervised machine Learning
Classification Method Study of Crops Remote Sensing with Deep Learning, machine Learning, and Google Earth Engine, The
Classification of abnormalities in digitized mammograms using Extreme Learning machine
Classification of Aerial Laser Scanning Point Clouds Using machine Learning: a Comparison Between Random Forest and Tensorflow
Classification of Anomalous Pixels in the Focal Plane Arrays of Orbiting Carbon Observatory-2 and -3 via machine Learning
Classification of Boulders in Coastal Environments Using Random Forest machine Learning on Topo-Bathymetric LiDAR Data
Classification of Breast Micro-calcifications as Benign or Malignant Using Subtraction of Temporally Sequential Digital Mammograms and machine Learning
Classification of Breast Tissues in Mammogram Images Using Ripley's K Function and Support Vector machine
Classification of Buildings and Roads Using Support Vector machine
Classification of characters by man and by machine
Classification of Driving Postures by Support Vector machines
Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector machines
Classification of Dynamic Contrast-Enhanced Magnetic Resonance Breast Lesions by Support Vector machines
Classification of EEG signals to detect alcoholism using machine learning techniques
Classification of environmental microorganisms in microscopic images using shape features and support vector machines
Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and machine Learning
Classification of Hyperspectral Data Using Support Vector machine
Classification of image registration problems using support vector machines
Classification of Lakebed Geologic Substrate in Autonomously Collected Benthic Imagery Using machine Learning
Classification of Line and Character Pixels on Raster Maps Using Discrete Cosine Transformation Coefficients and Support Vector machine
Classification of Low-Level Atmospheric Structures Based on a Pyramid Representation and a machine Learning Method
Classification of machine Printed and Handwritten Texts Using Character Block Layout Variance
Classification of machine-Printed and Handwritten Addresses on Korean Mail Piece Images Using Geometric Features
Classification of Moving Humans Using Eigen-Features and Support Vector machines
Classification of neovascularization on retinal images using extreme learning machine
Classification of Noise-Afflicted Remotely Sensed Data Using Three machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy, The
Classification of normal and abnormal brain MRI slices using Gabor texture and support vector machines
Classification of Oil Painting Using machine Learning With Visualized Depth Information
Classification of Precipitation Types Based on machine Learning Using Dual-Polarization Radar Measurements and Thermodynamic Fields
Classification of RGB-D and Motion Capture Sequences Using Extreme Learning machine
Classification of the Complex Agricultural Planting Structure with a Semi-Supervised Extreme Learning machine Framework
Classification of UAV-based Photogrammetric Point Clouds of Riverine Species Using machine Learning Algorithms: A Case Study In the Palancia River, Spain
Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector machines
Classification using intersection kernel support vector machines is efficient
Classifier cascades for support vector machines
Classifying Complex Mountainous Forests with L-Band SAR and Landsat Data Integration: A Comparison among Different machine Learning Methods in the Hyrcanian Forest
Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with machine Learning on the Cloud
Classifying Textual Components of Bilingual Documents with Decision-Tree Support Vector machines
Climate-Based Regionalization and Inclusion of Spectral Indices for Enhancing Transboundary Land-Use/Cover Classification Using Deep Learning and machine Learning
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal machine Translation
Close Range Photogrammetry and machine Vision
Close Range Photogrammetry: Structured Light Approach for machine Vision Aided Harvesting
Closed-Loop Restoration Approach to Blurry Images Based on machine Learning and Feedback Optimization
Cloud Detection Autonomous System Based on machine Learning and COTS Components On-Board Small Satellites
Cloud Detection for High-Resolution Satellite Imagery Using machine Learning and Multi-Feature Fusion
Cloud Detection from FY-4A's Geostationary Interferometric Infrared Sounder Using machine Learning Approaches
Cloud Detection From Paired CrIS Water Vapor and CO2 Channels Using machine Learning Techniques
Cloud Detection Of Optical Satellite Images Using Support Vector machine
Cloud Detection Using an Ensemble of Pixel-Based machine Learning Models Incorporating Unsupervised Classification
Cloud Extraction from Chinese High Resolution Satellite Imagery by Probabilistic Latent Semantic Analysis and Object-Based machine Learning
Cluster-Based machine Learning Ensemble Approach for Geospatial Data: Estimation of Health Insurance Status in Missouri, A
Clustered Microcalcification detection based on a Multiple Kernel Support Vector machine with Grouped Features (GF-SVM)
Co-Adaptive and Affective Human-machine Interface for Improving Training Performances of Virtual Myoelectric Forearm Prosthesis
Co-Orbital Sentinel 1 and 2 for LULC Mapping with Emphasis on Wetlands in a Mediterranean Setting Based on machine Learning
Co-Tracking Using Semi-Supervised Support Vector machines
Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning machine and Remote Sensing Images
Coarse-grained reconfigurable hardware accelerator of machine learning classifiers
Cobb-Douglas Learning machine, The
Cognitive Quantum Number: The Logic for Nano Scale Information Processing in Minds and machines
Collaborative Active Learning of a Kernel machine Ensemble for Recognition
Collaborative Human machine Attention Module for Character Recognition
Collarette Area Localization and Asymmetrical Support Vector machines for Efficient Iris Recognition
Color Channel-Based Smoke Removal Algorithm Using machine Learning for Static Images
Color image segmentation using pixel wise support vector machine classification
Color machine Vision for Autonomous Vehicles
Color Models for Outdoor machine Vision
Color photo categorization using compressed histograms and supportvector machines
Color the Word: Leveraging Web Images for machine Translation of Untranslatable Words
Colored Illumination for Enhancing Discriminability in machine Vision
Colour invariants for machine face recognition
Combination of Hyperspectral and machine Learning to Invert Soil Electrical Conductivity
Combination of Lie Group machine Learning and Deep Learning for Remote Sensing Scene Classification Using Multi-Layer Heterogeneous Feature Extraction and Fusion, A
Combination of machine Learning Algorithms for Marine Plastic Litter Detection Exploiting Hyperspectral PRISMA Data, A
Combination of Satellite Observations and machine Learning Method for Internal Wave Forecast in the Sulu and Celebes Seas
Combinations of Feature Selection and machine Learning Algorithms for Object-Oriented Betel Palms and Mango Plantations Classification Based on Gaofen-2 Imagery
Combined EEG-Gyroscope-tDCS Brain machine Interface System for Early Management of Driver Drowsiness
Combined machine Learning and Residual Analysis Approach for Improved Retrieval of Shallow Bathymetry from Hyperspectral Imagery and Sparse Ground Truth Data, A
Combined Prognostic Model Based on machine Learning for Tidal Current Prediction, A
Combined Retrievals of Turbidity from Sentinel-2A/B and Landsat-8/9 in the Taihu Lake through machine Learning
Combined Rule-Based machine Learning Audio-Visual Emotion Recognition Approach, A
Combined Strategy of machine Vision with a Robotic Assistant for Nail Biting Prevention
Combined Support Vector machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
Combining Deformation Modeling and machine Learning for Personalized Prosthesis Size Prediction in Valve-Sparing Aortic Root Reconstruction
Combining Disease Mechanism and machine Learning to Predict Wheat Fusarium Head Blight
Combining Evolutionary Algorithms and machine Learning Models in Landslide Susceptibility Assessments
Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines
Combining forces: Data fusion across man and machine for biometric analysis
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann machines
Combining Local Features And Progressive Support Vector machine For Urban Change Detection of VHR Images
Combining machine Learning and Compact Polarimetry for Estimating Soil Moisture from C-Band SAR Data
Combining machine Learning and Dynamic Time Wrapping for Vehicle Driving Event Detection Using Smartphones
Combining Multi-Source Data and machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States
Combining Multispectral and Radar Imagery with machine Learning Techniques to Map Intertidal Habitats for Migratory Shorebirds
Combining Object-Based machine Learning with Long-Term Time-Series Analysis for Informal Settlement Identification
Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using machine Learning Approaches
Combining Rule-based and machine Learning Approaches for Shape Recognition
Combining Sample Plot Stratification and machine Learning Algorithms to Improve Forest Aboveground Carbon Density Estimation in Northeast China Using Airborne LiDAR Data
Combining Satellite Optical and Radar Image Data for Streamflow Estimation Using a machine Learning Method
Combining support vector machines and information gain ranking for classification of Mars McMurdo panorama images
Combining Support Vector machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification
Combining Support Vector machines for Accurate Face Detection
Comments on An ensemble average classifier for pattern recognition machines
Comments on Design of Fiducials for Accurate Registration Using machine Vision
Comments on Traffic Sign Recognition Using Kernel Extreme Learning machines With Deep Perceptual Features
committee machine with a set of networks composed of two single-threshold elements as committee members, A
Communication between deaf and hearing children using statistical machine translation
Compaction Prediction for Asphalt Mixtures Using Wireless Sensor and machine Learning Algorithms
Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine-learning techniques
Comparative Analysis of Certainty Factor-Based machine Learning Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China, A
Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
Comparative Analysis of machine Learning Algorithms for Soil Erosion Modelling Based on Remotely Sensed Data
Comparative Analysis of MODIS Time-Series Classification Using Support Vector machines and Methods Based upon Distance and Similarity Measures in the Brazilian Cerrado-Caatinga Boundary
comparative analysis of structural risk minimization by support vector machines and nearest neighbor rule, A
Comparative Analysis of Two machine Learning Algorithms in Predicting Site-Level Net Ecosystem Exchange in Major Biomes
Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector machines
Comparative Approach of Fuzzy Object Based Image Analysis and machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery, A
Comparative Assessment of Ensemble-Based machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand, A
Comparative Assessment of Five machine Learning Algorithms for Supervised Object-Based Classification of Submerged Seagrass Beds Using High-Resolution UAS Imagery
Comparative Assessment of Geostatistical, machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content, A
Comparative Assessment of machine Learning Methods for Urban Vegetation Mapping Using Multitemporal Sentinel-1 Imagery
Comparative Assessment of machine-Learning Techniques for Forest Degradation Caused by Selective Logging in an Amazon Region Using Multitemporal X-Band SAR Images, A
Comparative Assessment of machine-Learning Techniques for Land Use and Land Cover Classification of the Brazilian Tropical Savanna Using ALOS-2/PALSAR-2 Polarimetric Images, A
Comparative Estimation of Maize Leaf Water Content Using machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data, A
comparative study of breast cancer tumor classification by classical machine learning methods and deep learning method, A
Comparative Study of Convolutional Neural Network and Conventional machine Learning Methods for Landslide Susceptibility Mapping
Comparative Study of Convolutional Neural Networks and Conventional machine Learning Models for Lithological Mapping Using Remote Sensing Data, A
comparative study of Minimax Probability machine-based approaches for face recognition, A
Comparing Deep Neural Networks, Ensemble Classifiers, and Support Vector machine Algorithms for Object-Based Urban Land Use/Land Cover Classification
Comparing Human Versus machine-Driven Cadastral Boundary Feature Extraction
Comparing machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
Comparing machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series
Comparing machine Learning Algorithms for Pixel/Object-Based Classifications of Semi-Arid Grassland in Northern China Using Multisource Medium Resolution Imageries
Comparing machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery
Comparing machine Learning Models and Hybrid Geostatistical Methods Using Environmental and Soil Covariates for Soil pH Prediction
Comparing optimal bounding ellipsoid and support vector machine active learning
Comparing Thresholding with machine Learning Classifiers for Mapping Complex Water
Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs
Comparison between error correcting output codes and fuzzy support vector machines
Comparison between Support Vector machine and Water Cloud Model for Estimating Crop Leaf Area Index, A
Comparison of AdaBoost and Support Vector machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Comparison of Character-based Neural machine Translations Techniques Applied to Spelling Normalization, A
Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through machine-Learning Methods
Comparison of Cloud-Mask Algorithms and machine-Learning Methods Using Sentinel-2 Imagery for Mapping Paddy Rice in Jianghan Plain
Comparison of Different machine Learning Approaches for Monthly Satellite-Based Soil Moisture Downscaling over Northeast China
Comparison of Different machine Learning Methods for Debris Flow Susceptibility Mapping: A Case Study in the Sichuan Province, China
Comparison of Different machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal-Infrared Remote Sensing, A
Comparison of Ensemble machine Learning Methods for Soil Erosion Pin Measurements
Comparison of Estimating Crop Residue Cover from Sentinel-2 Data Using Empirical Regressions and machine Learning Methods, A
Comparison of Fiducial Shapes for machine Vision Registration, A
Comparison of Four machine Learning Methods for Generating the GLASS Fractional Vegetation Cover Product from MODIS Data
Comparison of GARCH, Neural Network and Support Vector machine in Financial Time Series Prediction
Comparison of Human and machine Assessments of Image Similarity for the Organization of Image Databases, A
Comparison of Hybrid machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2, A
Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and machine Learning Techniques
Comparison of machine Learned Image Interpretation Systems in the Domain of Forestry
Comparison of machine Learning Algorithms for Flood Susceptibility Mapping
Comparison of machine Learning Algorithms for Mapping of Complex Surface-Mined and Agricultural Landscapes Using ZiYuan-3 Stereo Satellite Imagery, A
Comparison of machine Learning Algorithms for Retrieval of Water Quality Indicators in Case-II Waters: A Case Study of Hong Kong
Comparison of machine Learning and Empirical Approaches for Deriving Bathymetry from Multispectral Imagery, A
Comparison of machine Learning and Geostatistical Approaches for Mapping Forest Canopy Height over the Southeastern US Using ICESat-2, A
Comparison of machine Learning Approaches for Reconstructing Sea Subsurface Salinity Using Synthetic Data
Comparison of machine Learning Approaches to Improve Free Topography Data for Flood Modelling, A
Comparison of machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas
Comparison of machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam
Comparison of machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data
Comparison of machine Learning Methods for Potential Active Landslide Hazards Identification with Multi-Source Data
Comparison of machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images
Comparison of machine Learning Methods to Up-Scale Gross Primary Production
Comparison of machine Learning Models for Mapping Tree Species Using WorldView-2 Imagery in the Agroforestry Landscape of West Africa, A
Comparison of machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia
Comparison of machine Learning Techniques in Inferring Phytoplankton Size Classes
Comparison of machine learning-based feature pooling strategies for colour image fidelity assessment
Comparison of machine Learning-Based Snow Depth Estimates and Development of a New Operational Retrieval Algorithm over China
Comparison of machine-Learning and CASA Models for Predicting Apple Fruit Yields from Time-Series Planet Imageries
Comparison of machine-Learning Methods for Urban Land-Use Mapping in Hangzhou City, China
Comparison of machine-learning Regression Algorithms for The Estimation of LAI Using Landsat-8 Satellite Data, A
Comparison of Novel Hybrid and Benchmark machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia
Comparison of Object Based machine Learning Classifications Of Planetscope and Worldview-3 Satellite Images for Land Use / Cover
Comparison of Random Forest and Support Vector machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images
Comparison of Random Forest, Support Vector machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve
Comparison of Spectrum Kernel machines for Protein Subnuclear Localization, A
Comparison of support vector machine and object based classification methods for coastline detection
Comparison of Support Vector machine and Random Forest Algorithms for Invasive and Expansive Species Classification Using Airborne Hyperspectral Data
Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
Comparison of Support Vector machines and Random Forests for Corine Land Cover Mapping
Comparison of support vector machines with autocorrelation kernels for invariant texture classification
Comparison of texture features for human embryonic stem cells with bio-inspired multi-class support vector machine
Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common machine Learning Algorithms
Comparison of the support vector machine and relevant vector machine in regression and classification problems
Comparison of the support vector machine and relevant vector machine in regression and classification problems
Comparison of Traditional and machine Learning Base Methods for Ground Point Cloud Labeling
Comparison of Two machine Learning Classification Methods for Remote Sensing Predictive Modeling of the Forest Fire in the North-Eastern Siberia, A
Comparison Study of Landslide Susceptibility Spatial Modeling Using machine Learning, A
Comparisons of Convolutional Neural Network and Other machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu
Component-based track inspection using machine-vision technology
Composite likelihood estimation for restricted Boltzmann machines
Composite Support Vector machines for Detection of Faces Across Views and Pose Estimation
Composite Support Vector machines with Extended Discriminative Features for Accurate Face Detection
Comprehensive Comparison of machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables, A
Comprehensive Evaluation of machine Learning and Classical Approaches for Spaceborne Active-Passive Fusion Bathymetry of Coral Reefs, A
Comprehensive machine Learning Study to Classify Precipitation Type over Land from Global Precipitation Measurement Microwave Imager (GPM-GMI) Measurements, A
Comprehensive Report on machine Learning-Based Early Detection of Alzheimer's Disease Using Multi-Modal Neuroimaging Data, A
Comprehensive Review of machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques
comprehensive review on multi-organs tumor detection based on machine learning, A
Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using machine Learning Approach: Challenges, Solutions, and Future Directions, A
Compressed-Domain Ship Detection on Spaceborne Optical Image Using Deep Neural Network and Extreme Learning machine
Compressive Sensing Based Face Detection without Explicit Image Reconstruction Using Support Vector machines
Computation in the higher visual cortices: map-seeking circuit theory and application to machine vision
Computational Cognitive Models for Brain-machine Collaborations
Computational framework for emotional VAD prediction using regularized Extreme Learning machine
Computational machine Learning Approach for Flood Susceptibility Assessment Integrated with Remote Sensing and GIS Techniques from Jeddah, Saudi Arabia
Computational Media Intelligence: Human-Centered machine Analysis of Media
Computational Model for Recognizing Emotion with Intensity for machine Vision Applications, A
Computational Modeling of the Dynamics of Human Trust During Human-machine Interactions
Computationally-Affordable Unsupervised machine Learning Algorithm to Identify the Level of Distress Severity in Pavement Functional Performance
Computer aided diagnosis in digital mammography using combined support vector machine and linear discriminant analyasis classification
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using machine Learning: A Survey and Ongoing Research
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based machine Learning Techniques
Computer-Aided Geometric Design Based 3-D Models for machine Vision
Conative Dimensions of machine Ethics: A Defense of Duty
Concurrent Computation of Attribute Filters on Shared Memory Parallel machines
Condition Assessment of RC Bridges. Integrating machine Learning, Photogrammetry and BIM
Condition monitoring of grinding process through machine vision system
Conditional High-Order Boltzmann machine: A Supervised Learning Model for Relation Learning
Conditional High-Order Boltzmann machines for Supervised Relation Learning
Confidence and prediction intervals for semiparametric mixed-effect least squares support vector machine
Confidence Preserving machine for Facial Action Unit Detection
Configurable Fast Block Partitioning for VVC Intra Coding Using Light Gradient Boosting machine
Connected Component Level Discrimination of Handwritten and machine-Printed Text Using Eigenfaces
Connected Morphological Attribute Filters on Distributed Memory Parallel machines
Connecting Subspace Learning and Extreme Learning machine in Speech Emotion Recognition
Connecting the dots: Toward accountable machine-learning printer attribution methods
Connection machine Stereomatching
Connection machine vision-Replicated data structures
Consistent pose normalization of non-rigid shapes using One-Class Support Vector machines
Constraints on Handwriting Korean Characters to Improve the machine Readability
Constructing Finite State machines for Fast Gesture Recognition
Constructing GRACE-Based 1 km Resolution Groundwater Storage Anomalies in Arid Regions Using an Improved machine Learning Downscaling Method: A Case Study in Alxa League, China
Constructing support vector machine ensemble
Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using machine Learning Approach
Consumer Evaluation Using machine Learning for the Predictive Analysis of Consumer Purchase Indicators
Consumer video understanding: a benchmark database and an evaluation of human and machine performance
Content-Based Audio Classification Using Support Vector machines and Independent Component Analysis
Content-Based Image Orientation Detection with Support Vector machines
Content-Insensitive Blind Image Blurriness Assessment Using Weibull Statistics and Sparse Extreme Learning machine
Context ranking machine and its application to rigid localization of deformable objects
Context-Aware machine Learning for Intelligent Transportation Systems: A Survey
Context-Based Support Vector machines for Interconnected Image Annotation
Context-Specific Point-of-Interest Recommendation Based on Popularity-Weighted Random Sampling and Factorization machine
Contextual Image Classification Approach for Monitoring of Agricultural Land Cover by Support Vector machines and Markov Random Fields
Continual Vocabularies to Tackle the Catastrophic Forgetting Problem in machine Translation
Continuous Human Action Recognition for Human-machine Interaction: A Review
Continuous restricted Boltzmann machine with an implementable training algorithm
Contrasting Forest Loss and Gain Patterns in Subtropical China Detected Using an Integrated LandTrendr and machine-Learning Method
Contrasts Between Human and machine Vision: Should Technology Recapitulate Phylogeny?
Contributor-Focused Intrinsic Quality Assessment of OpenStreetMap in Mozambique Using Unsupervised machine Learning, A
Convergence Properties of High-Order Boltzmann machines
Conversation detection in feature films using finite state machines
Convex support and Relevance Vector machines for selective multimodal pattern recognition
Convexity Algorithms for Parallel machines
Convolution neural network joint with mixture of extreme learning machines for feature extraction and classification of accident images
Convolutional Pose machines
Convolutional Relational machine for Group Activity Recognition
Convolver-Based Real-Time Stereo machine (SAZAN), A
Cooperative media control parameter optimization of the integrated mixing and paving machine based on the fuzzy cuckoo search algorithm
Coordination Control Strategy for Human-machine Cooperative Steering of Intelligent Vehicles: A Reinforcement Learning Approach
Copying machine learning classifiers
Coral Reef Change Detection in Remote Pacific Islands Using Support Vector machine Classifiers
Coral Reef Fish Detection and Recognition in Underwater Videos by Supervised machine Learning: Comparison Between Deep Learning and HOG+SVM Methods
Coral Reef Mapping with Remote Sensing and machine Learning: A Nurture and Nature Analysis in Marine Protected Areas
Core Power Losses Estimation of Wound Core Distribution Transformers with Support Vector machines
Corn Biomass Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on machine Learning Techniques
Corn Grain Yield Prediction Using UAV-Based High Spatiotemporal Resolution Imagery, machine Learning, and Spatial Cross-Validation
Corn Nitrogen Nutrition Index Prediction Improved by Integrating Genetic, Environmental, and Management Factors with Active Canopy Sensing Using machine Learning
Corner detection using support vector machines
Correcting GEDI Water Level Estimates for Inland Waterbodies Using machine Learning
Correcting Measurement Error in Satellite Aerosol Optical Depth with machine Learning for Modeling PM2.5 in the Northeastern USA
Correcting the document layout: a machine learning approach
Correntropy-based robust multilayer extreme learning machines
Corrigendum to An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods
Cost-Constrained Feature Optimization in Kernel machine Classifiers
Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning machine
Cost-Sensitive Large margin Distribution machine for classification of imbalanced data
Cotton Fiber Quality Estimation Based on machine Learning Using Time Series UAV Remote Sensing Data
Counterfactual explanations for misclassified images: How human and machine explanations differ
County-Level Poverty Evaluation Using machine Learning, Nighttime Light, and Geospatial Data
Covariance-guided One-Class Support Vector machine
Crack Detection in As-Cast Steel Using Laser Triangulation and machine Learning
Creating synthetic minority class samples based on autoencoder extreme learning machine
Creation of a Walloon Pasture Monitoring Platform Based on machine Learning Models and Remote Sensing
Credit Card Fraud Detection Based on Multilayer Perceptron and Extreme Learning machine Architectures
Crime Prediction and Monitoring in Porto, Portugal, Using machine Learning, Spatial and Text Analytics
Critical Review of Advanced Electric machines and Control Strategies for Electric Vehicles, A
Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using machine Learning
Crop Mapping without Labels: Investigating Temporal and Spatial Transferability of Crop Classification Models Using a 5-Year Sentinel-2 Series and machine Learning
Crop Monitoring Using Satellite/UAV Data Fusion and machine Learning
Crop-Type Classification for Long-Term Modeling: An Integrated Remote Sensing and machine Learning Approach
Crowd-machine Hybrid Urban Sensing and Computing
Cryo-Balloon Catheter Localization Based on a Support-Vector-machine Approach
CT Perfusion Imaging of the Brain with machine Learning
Cycle GAN-Based Attack on Recaptured Images to Fool both Human and machine
D-LSM: Deep Liquid State machine with unsupervised recurrent reservoir tuning
Data Assimilation Method Combined with machine Learning and Its Application to Anthropogenic Emission Adjustment in CMAQ, A
data augmentation methodology for training machine/deep learning gait recognition algorithms, A
Data Condensation in Large Databases by Incremental Learning with Support Vector machines
Data Fusion in Robotics and machine Intelligence
Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches
Data Reconstruction for Remotely Sensed Chlorophyll-a Concentration in the Ross Sea Using Ensemble-Based machine Learning
Data representations and generalization error in kernel based learning machines
Data-driven Knowledge Discovery in Retail: Evidences from the Vending machine's Industry
Data-Driven Selection of Land Product Validation Station Based on machine Learning
Dataset Auditing Method for Collaboratively Trained machine Learning Models, A
Dataset Security for machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
DCMSVM: Distributed parallel training for single-machine multiclass classifiers
Debris Flow Susceptibility Mapping Using machine-Learning Techniques in Shigatse Area, China
Debris-Flow Susceptibility Assessment in China: A Comparison between Traditional Statistical and machine Learning Methods
Decay-weighted extreme learning machine for balance and optimization learning
Decision feedback equaliser design using support vector machines
decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines, A
Decoding Generic Visual Representations from Human Brain Activity Using machine Learning
Decoding the nonstationary neural activity in motor cortex for brain machine interfaces
Decoding visual network-related dynamic functional connectivity for eyes-open and eyes-closed using machine learning
Deep and machine Learning Image Classification of Coastal Wetlands Using Unpiloted Aircraft System Multispectral Images and Lidar Datasets
Deep Appearance Models: A Deep Boltzmann machine Approach for Face Modeling
Deep Boltzmann machine-Based Approach for Robust Image Denoising, A
Deep Boltzmann machines for i-Vector Based Audio-Visual Person Identification
Deep Boltzmann machines Using Adaptive Temperatures
Deep Image Compression Toward machine Vision: A Unified Optimization Framework
Deep Kernel Extreme-Learning machine for the Spectral-Spatial Classification of Hyperspectral Imagery
Deep learning and machine learning-based early survival predictions of glioblastoma patients using pre-operative three-dimensional brain magnetic resonance imaging modalities
Deep Learning for Understanding Faces: machines May Be Just as Good, or Better, than Humans
Deep learning solution for machine vision problem of vehicle body damage classification
Deep machine Learning Based Possible Atmospheric and Ionospheric Precursors of the 2021 Mw 7.1 Japan Earthquake
Deep motion templates and extreme learning machine for sign language recognition
Deep ranking structural support vector machine for image tagging
deep source-context feature for lexical selection in statistical machine translation, A
Deep support vector machine for hyperspectral image classification
Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow: Editorial for the 2nd Special Issue machine Learning for Image Reconstruction
Deep transfer network for rotating machine fault analysis
Deep-Learning-Based Automatic Selection of Fewest Channels for Brain-machine Interfaces
Defect Inspection Method for machine Vision Using Defect Probability Image with Deep Convolutional Neural Network, A
Deformable Object Shape Refinement and Tracking Using Graph Cuts and Support Vector machines
DEM- and GIS-Based Analysis of Soil Erosion Depth Using machine Learning
Demographic Estimation from Face Images: Human vs. machine Performance
Dempster-Shafer approach for recognizing machine features from CAD models, A
Density-Based Multifeature Background Subtraction with Support Vector machine
Density-induced margin support vector machines
Depth And Motion Analysis machine, The
Depth, Range Sensors for machine Vision
Design and Analysis of a Human-machine Interaction System for Researching Human's Dynamic Emotion
Design and Control of a Camera Platform for machine Vision
Design and Experimental Verification of a Hip Exoskeleton Based on Human-machine Dynamics for Walking Assistance
Design and Implementation of Real Time System for Object Detection and Classification on Parallel Virtual machine
Design and Use of Special Purpose Processors for the machine Processing of Remotely Sensed Data, The
Design efficient support vector machine for fast classification
Design of Clinical Support Systems Using Integrated Genetic Algorithm and Support Vector machine
Design of committee machines for classification of single-wavelength lidar signals applied to early forest fire detection
Design of Fiducials for Accurate Registration Using machine Vision
Designing a European-Wide Crop Type Mapping Approach Based on machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data
Designing Systolic Algorithms Using Sequential machines
Detecting abandoned farmland using harmonic analysis and machine learning
Detecting Changes in Impervious Surfaces Using Multi-Sensor Satellite Imagery and machine Learning Methodology in a Metropolitan Area
Detecting Cognitive States from fMRI Images by machine Learning and Multivariate Classification
Detecting human motion with support vector machines
Detecting Neolithic Burial Mounds from LiDAR-Derived Elevation Data Using a Multi-Scale Approach and machine Learning Techniques
Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques
Detecting queues at vending machines: A statistical layered approach
Detecting Seam-Carved Image by Extreme Learning machines Using Patch Analysis Method, Jury Voting, and Combinatorial Fusion
Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
Detecting structured light patterns in colour images using a support vector machine
Detecting Swarm Degradation: Measuring Human and machine Performance
Detecting the Nature of Change in an Urban Environment: A Comparison of machine Learning Algorithms
Detecting Winter Cover Crops and Crop Residues in the Midwest US Using machine Learning Classification of Thermal and Optical Imagery
Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier
Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods
Detection and classification of fungal disease with Radon transform and support vector machine affected on cereals
Detection and classification of large bowel obstruction from X-ray images using machine learning algorithms
Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non-linear regression models: A comparison
Detection and diagnosis of brain tumors-framework using extreme machine learning and CANFIS classification algorithms
Detection and Evaluation of Driver Distraction Using machine Learning and Fuzzy Logic
Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin
Detection of Collapsed Bridges from Multi-Temporal SAR Intensity Images by machine Learning Techniques
Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on machine Learning Approaches
Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting machine
Detection of Dyslexic Children Using machine Learning and Multimodal Hindi Language Eye-Gaze-Assisted Learning System
Detection of Italian Ryegrass in Wheat and Prediction of Competitive Interactions Using Remote-Sensing and machine-Learning Techniques
Detection of Leek Rust Disease under Field Conditions Using Hyperspectral Proximal Sensing and machine Learning
Detection of Masses in Digital Mammograms using K-Means and Support Vector machine
Detection of myocardial infarction from vectorcardiogram using relevance vector machine
Detection of river ice using relevance vector machine
Detection of Rubber Tree Powdery Mildew from Leaf Level Hyperspectral Data Using Continuous Wavelet Transform and machine Learning
Detection of Shallow Water Area With machine Learning Algorithms
Detection of Stationary Foreground Objects Using Multiple Nonparametric Background-Foreground Models on a Finite State machine
Detection of the Monitoring Window for Pine Wilt Disease Using Multi-Temporal UAV-Based Multispectral Imagery and machine Learning Algorithms
Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and machine Learning Approach
Detection of Urban Damage Using Remote Sensing and machine Learning Algorithms: Revisiting the 2010 Haiti Earthquake
Detection, quantification and classification of ripened tomatoes: a comparative analysis of image processing and machine learning
Determining Actual Evapotranspiration Based on machine Learning and Sinusoidal Approaches Applied to Thermal High-Resolution Remote Sensing Imagery in a Semi-Arid Ecosystem
Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and machine Learning Algorithms
Deterministic Turing machine for Context Sensitive Translation of Braille Codes to Urdu Text, A
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
Developing a New machine-Learning Algorithm for Estimating Chlorophyll-a Concentration in Optically Complex Waters: A Case Study for High Northern Latitude Waters by Using Sentinel 3 OLCI
Developing human-machine interaction components for a driver assistance system for safe speed and safe distance
Development and Application of Earth Observation Based machine Learning Methods for Characterizing Forest and Land Cover Change in Dilijan National Park of Armenia between 1991 and 2019
Development and Application of machine Learning in Atmospheric Environment Studies, The
Development and Validation of machine-Learning Clear-Sky Detection Method Using 1-Min Irradiance Data and Sky Imagers at a Polluted Suburban Site, Xianghe
Development Methodologies for Safety Critical machine Learning Applications in the Automotive Domain: A Survey
Development of a machine Learning-Based Radiometric Bias Correction for NOAA's Microwave Integrated Retrieval System (MiRS)
Development of a machine vision system for a real time precision sprayer
Development of a Video-Rate Stereo machine
Development of glass bottle inspector based on machine vision
Development of machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations
Development of neural network committee machines for automatic forest fire detection using lidar
Development of online machine vision system using support vector regression (SVR) algorithm for grade prediction of iron ores
Development System for machine Vision, A
Diagnosis and Classification of Typhoon-Associated Low-Altitude Turbulence Using HKO-TDWR Radar Observations and machine Learning
Diagnosis of Alzheimer Diseases in Early Step Using SVM (Support Vector machine)
Diagnosis/Prognosis of COVID-19 Chest Images via machine Learning and Hypersignal Processing: Challenges, opportunities, and applications
Diamond color grading based on machine vision
Diff-CVML: Differential Geometry in Computer Vision and machine Learning
Differentiate Soybean Response to Off-Target Dicamba Damage Based on UAV Imagery and machine Learning
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
Digital image steganalysis: A survey on paradigm shift from machine learning to deep learning based techniques
Digital Mapping of Soil Organic Carbon with machine Learning in Dryland of Northeast and North Plain China
Digital Soil Texture Mapping and Spatial Transferability of machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates
Digital Twin System of Bridges Group Based on machine Vision Fusion Monitoring of Bridge Traffic Load
Digital watermark extraction using support vector machine with principal component analysis based feature reduction
Dimension Reduction by Minimum Error Minimax Probability machine
Dimension Reduction With Extreme Learning machine
Direction Concentration Learning: Enhancing Congruency in machine Learning
Discontinuity Detection in GNSS Station Coordinate Time Series Using machine Learning
Discovering the Ancient Tomb under the Forest Using machine Learning with Timing-Series Features of Sentinel Images: Taking Baling Mountain in Jingzhou as an Example
Discovery of facial motions using deep machine perception
Discrete space reinforcement learning algorithm based on support vector machine classification
Discrete space reinforcement learning algorithm based on twin support vector machine classification
Discriminant iris feature and support vector machines for IRIS recognition
Discriminant Local Regions Using Support Vector machines
Discrimination of disease-related non-synonymous single nucleotide polymorphisms using multi-scale RBF kernel fuzzy support vector machine
Discrimination of machine-printed from handwritten text using simple structural characteristics
Discriminative Pixel-Pairwise Constraint-Guided Extreme Learning machine for Semi-Supervised Hyperspectral Image Classification
Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations
Diseases Spread Prediction in Tropical Areas By machine Learning Methods Ensembling and Spatial Analysis Techniques
Distance Metric Learning via Iterated Support Vector machines
Distance Transforms: Properties and machine Vision Applications
Distinction between handwritten and machine-printed text based on the bag of visual words model
Distinguishing between Handwritten and machine Printed Text in Bank Cheque Images
Distortion-Correction Scheme for Industrial machine-Vision Applications, A
Distributed data augmented support vector machine on Spark
Distributing extreme learning machines with Apache Spark for NetFlow-based malware activity detection
Distribution Modeling and Factor Correlation Analysis of Landslides in the Large Fault Zone of the Western Qinling Mountains: A machine Learning Algorithm
Do all roads lead to Rome? Studying distance measures in the context of machine learning
Document Image Watermarking Based on Weight-Invariant Partition Using Support Vector machine
Does explainable machine learning uncover the black box in vision applications?
Domain Anomaly Detection in machine Perception: A System Architecture and Taxonomy
Domain-Guided machine Learning for Remotely Sensed In-Season Crop Growth Estimation
Double Complete D-LBP with Extreme Learning machine Auto-Encoder and Cascade Forest for Facial Expression Analysis
Double distribution support vector machine
Doubly Sparse Relevance Vector machine for Continuous Facial Behavior Estimation
Down-sampling Coupled to Elastic Kernel machines for Efficient Recognition of Isolated Gestures
Downscaling Aster Land Surface Temperature over Urban Areas with machine Learning-Based Area-To-Point Regression Kriging
Downscaling Building Energy Consumption Carbon Emissions by machine Learning
Downscaling GRACE TWSA Data into High-Resolution Groundwater Level Anomaly Using machine Learning-Based Models in a Glacial Aquifer System
Downscaling Groundwater Storage Data in China to a 1-km Resolution Using machine Learning Methods
Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and machine Learning Approaches
Driver Distraction Detection Using Semi-Supervised machine Learning
Driver identification in intelligent vehicle systems using machine learning algorithms
Driving Style Classification Using a Semisupervised Support Vector machine
Driving Style Feature Extraction and Recognition Based on Hyperdimensional Computing and Semi-Supervised Twin Projection Vector machine
Drone Image Segmentation Using machine and Deep Learning for Mapping Raised Bog Vegetation Communities
Drone-Based Bathymetry Modeling for Mountainous Shallow Rivers in Taiwan Using machine Learning
Drought Forecasting Based On machine Learning Of Remote Sensing And Long-range Forecast Data
Drought Monitoring and Performance Evaluation Based on machine Learning Fusion of Multi-Source Remote Sensing Drought Factors
Drug Activity Characterization Using One-Class Support Vector machines with Counterexamples
Dual Activation Function-Based Extreme Learning machine (ELM) for Estimating Grapevine Berry Yield and Quality
Dual unification of bi-class support vector machine formulations
Dual-Weighted Kernel Extreme Learning machine for Hyperspectral Imagery Classification
Dublin City University, machine Vision Group
Dynamic action recognition based on dynemes and Extreme Learning machine
Dynamic and Safe Path Planning Based on Support Vector machine among Multi Moving Obstacles for Autonomous Vehicles
Dynamic face recognition: From human to machine vision
Dynamic Forecast of Desert Locust Presence Using machine Learning with a Multivariate Time Lag Sliding Window Technique
Dynamic interface for machine vision systems
Dynamic Maize Yield Predictions Using machine Learning on Multi-Source Data
Dynamic Monocular machine Vision
Dynamics of the Burlan and Pomacochas Lakes Using SAR Data in GEE, machine Learning Classifiers, and Regression Methods
Early Detection of Bark Beetle Attack Using Remote Sensing and machine Learning: A Review
Early Detection of Dendroctonus valens Infestation with machine Learning Algorithms Based on Hyperspectral Reflectance
Early Detection of Ganoderma boninense in Oil Palm Seedlings Using Support Vector machines
Early detection of melanoma images using gray level co-occurrence matrix features and machine learning techniques for effective clinical diagnosis
Early Detection of Wild Rocket Tracheofusariosis Using Hyperspectral Image-Based machine Learning
Early Flood Monitoring and Forecasting System Using a Hybrid machine Learning-Based Approach
Early Season Mapping of Sugarcane by Applying machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China
Earth Observation and machine Learning to Meet Sustainable Development Goal 8.7: Mapping Sites Associated with Slavery from Space
Earth Observation Satellite Imagery Information Based Decision Support Using machine Learning
Earthquake-Induced Landslide Susceptibility Assessment Using a Novel Model Based on Gradient Boosting machine Learning and Class Balancing Methods
ECAS-ML: Edge Computing Assisted Adaptation Scheme with machine Learning for HTTP Adaptive Streaming
ECCV Caption: Correcting False Negatives by Collecting machine-and-Human-verified Image-Caption Associations for MS-COCO
Eco-Driving Assistance System for a Manual Transmission Bus Based on machine Learning
Ecological Associations between Obesity Prevalence and Neighborhood Determinants Using Spatial machine Learning in Chicago, Illinois, USA
Eddy Covariance CO2 Flux Gap Filling for Long Data Gaps: A Novel Framework Based on machine Learning and Time Series Decomposition
Edge Detection in machine Vision Using a Simple L(1) Norm Template Matching Algorithm
Edge Detection in Ventriculograms Using Support Vector machine Classifiers and Deformable Models
Editorial for the Special Issue Advanced machine Learning for Time Series Remote Sensing Data Analysis
Editorial of Special Issue machine and Deep Learning for Earth Observation Data Analysis
Editorial: Special Issue on machine Vision
Editorial: Special Issue on machine Vision with Deep Learning
Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based machine Recognition, The
Effect of Label Noise on the machine-Learned Classification of Earthquake Damage
effect of quantization at different resolutions on the classification of lesion texture in dermoscopic images using support vector machine, The
Effect of the Synergetic Use of Sentinel-1, Sentinel-2, LiDAR and Derived Data in Land Cover Classification of a Semiarid Mediterranean Area Using machine Learning Algorithms
Effective Dimensionality Reduction Based on Support Vector machine
Effective Fingerprint Classification by Localized Models of Support Vector machines
Effective image retrieval using dominant color descriptor and fuzzy support vector machine
Effective Mean-Field Inference Method for Nonnegative Boltzmann machines
Effects of Training Set Size on Supervised machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data
Efficient and Accurate Camera Calibration Technique for 3-D machine Vision, An
Efficient and Robust Pupil Size and Blink Estimation From Near-Field Video Sequences for Human-machine Interaction
Efficient Approximations for Support Vector machines in Object Detection
Efficient classification of chronic kidney disease by using multi-kernel support vector machine and fruit fly optimization algorithm
Efficient computations for large least square support vector machine classifiers
Efficient Face Detection by a Cascaded Support Vector machine Using Haar-Like Features
Efficient feature subset selection and classification using levy flight-based cuckoo search optimization with parallel support vector machine for the breast cancer data
efficient gradient-based model selection algorithm for multi-output least-squares support vector regression machines, An
Efficient histogramming on hypercube SIMD machines
Efficient implementation of neural networks on the DREAM machine
Efficient low-rank supported extreme learning machine for robust face recognition
Efficient Method for Traffic Sign Recognition Based on Extreme Learning machine, An
Efficient Multi-method Rule Learning for Pattern Classification machine Learning and Data Mining
Efficient multiple faces tracking based on Relevance Vector machine and Boosting learning
Efficient Off-Line Verification and Identification of Signatures by Multiclass Support Vector machines
Efficient Parallel Algorithms for Image Template Matching on Hypercube SIMD machines
Efficient performance estimate for one-class support vector machine
Efficient Representation and Transformation of Image Data on the Connection machine System
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical and biochemical traits of agricultural crops
Efficient Sparse Approximation of Support Vector machines Solving a Kernel Lasso
Efficient Two-stage Model Retraining for machine Unlearning
Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector machines: SVM-LSM Toolbox, An
efficient weighted Lagrangian twin support vector machine for imbalanced data classification, An
Efficient Word Segmentation Technique for Historical and Degraded machine-Printed Documents, An
Egocentric Live 4D Perception (Ego4D) Dataset: A large-scale first-person video dataset, supporting research in multi-modal machine perception for daily life activity
EKF-SLAM and machine Learning Techniques for Visual Robot Navigation
Electric contacts inspection using machine vision
Electroencephalography-based classification of human emotion: A hybrid strategy in machine learning paradigm
Electroencephelograph based brain machine interface for controlling a robotic arm
Electromechanical Wave Imaging With machine Learning for Automated Isochrone Generation
Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by machine Learning Techniques
Elmnet: Feature learning using extreme learning machines
Embedded Feature Selection and machine Learning Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China
Embedded Feature Selection for Support Vector machines: State-of-the-Art and Future Challenges
Embedded Intelligence for Safety and Security machine Vision Applications
Emerging Technologies for Smart Cities' Transportation: Geo-Information, Data Analytics and machine Learning Approaches
Emission-Based machine Learning Approach for Large-Scale Estimates of Black Carbon in China
Emotion recognition at a distance: The robustness of machine learning based on hand-crafted facial features vs deep learning models
Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel machine
Empirical Analysis of Integrating Feature Extraction to Automated machine Learning Pipeline, An
empirical comparison of in-learning and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications, An
Empirical greedy machine-based automatic liver segmentation in CT images
Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy machine Learning: A Case Study on Image Classification, An
Empirical Mode Decomposition of Hyperspectral Images for Support Vector machine Classification
Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust machine Learning Algorithms
English-Chinese machine Translation and Evaluation Method for Geographical Names, An
Enhanced automatic twin support vector machine for imbalanced data classification
Enhanced computation method of topological smoothing on shared memory parallel machines
Enhanced Estimate of Chromophoric Dissolved Organic Matter Using machine Learning Algorithms from Landsat-8 OLI Data in the Pearl River Estuary
Enhanced factorization machine via neural pairwise ranking and attention networks
enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion-based machine learning techniques, An
Enhanced multi-weight vector projection support vector machine
Enhanced pose normalization and matching of non-rigid objects based on support vector machine modelling
Enhanced Ship/Iceberg Classification in SAR Images Using Feature Extraction and the Fusion of machine Learning Algorithms
Enhanced Smartphone Indoor Positioning Scheme with Outlier Removal Using machine Learning, An
Enhancing Automated Defect Detection in Collagen Based Manufacturing by Employing a Smart machine Vision Technique
Enhancing Coral Health Detection Using Spectral Diversity Indices from WorldView-2 Imagery and machine Learners
Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable machine Learning Approach Using Google Earth Engine
Enhancing machine Translation by Integrating Linguistic Knowledge in the Word Alignment Module
Enhancing Maize Yield Simulations in Regional China Using machine Learning and Multi-Data Resources
Enhancing Neural machine Translation With Dual-Side Multimodal Awareness
Enhancing sentient embodied conversational agents with machine learning
Enhancing Water Depth Estimation from Satellite Images Using Online machine Learning: A Case Study Using Baidu Easy-DL with Acoustic Bathymetry and Sentinel-2 Data
Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications
Enriching Character-Based Neural machine Translation with Modern Documents for Achieving an Orthography Consistency in Historical Documents
Ensemble Approaches of Support Vector machines for Multiclass Classification
ensemble average classifier for pattern recognition machines, An
Ensemble machine learning based driving range estimation for real-world electric city buses by considering battery degradation levels
Ensemble machine Learning for Mapping Tree Species Alpha-Diversity Using Multi-Source Satellite Data in an Ecuadorian Seasonally Dry Forest
Ensemble machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting
Ensemble machine Learning Outperforms Empirical Equations for the Ground Heat Flux Estimation with Remote Sensing Data
Ensemble Modelling of Skipjack Tuna (Katsuwonus pelamis) Habitats in the Western North Pacific Using Satellite Remotely Sensed Data; a Comparative Analysis Using machine-Learning Models
Ensemble of machine-Learning Methods for Predicting Gully Erosion Susceptibility
Ensemble-Based machine Learning Model for Estimation of Subsurface Thermal Structure in the South China Sea, An
Entropy Approximation by machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing
Entropy-based matrix learning machine for imbalanced data sets
Environmental Time Series Prediction with Missing Data by machine Learning and Dynamics Recostruction
Epileptic seizure detection by combining robust-principal component analysis and least square-support vector machine
ERM-KTP: Knowledge-Level machine Unlearning via Knowledge Transfer
Error Propagation in machine Vision
Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines
Estimating Aboveground Biomass of Two Different Forest Types in Myanmar from Sentinel-2 Data with machine Learning and Geostatistical Algorithms
Estimating Boundary Layer Height from LiDAR Data under Complex Atmospheric Conditions Using machine Learning
Estimating Canola's Biophysical Parameters From Temporal, Spectral, And Polarimetric Imagery Using machine Learning Approaches
Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and machine Learning
Estimating Clusters Centres Using Support Vector machine: An Improved Soft Subspace Clustering Algorithm
Estimating Coastal Chlorophyll-A Concentration from Time-Series OLCI Data Based on machine Learning
Estimating Completely Remote Sensing-Based Evapotranspiration for Salt Cedar (Tamarix ramosissima), in the Southwestern United States, Using machine Learning Algorithms
Estimating Crop Biophysical Parameters Using machine Learning Algorithms and Sentinel-2 Imagery
Estimating Crop Seed Composition Using machine Learning from Multisensory UAV Data
Estimating Evapotranspiration in a Post-Fire Environment Using Remote Sensing and machine Learning
Estimating Fine Fuel Load Using Sentinel-2A Imagery and machine Learning: A Case Study in the Mountainous Forests of Changsha, China
Estimating Forest Aboveground Biomass Using Gaofen-1 Images, Sentinel-1 Images, and machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China
Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and machine Learning Regression Models
Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using machine Learning
Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three machine Learning Regression Techniques
Estimating Global Gross Primary Production from Sun-Induced Chlorophyll Fluorescence Data and Auxiliary Information Using machine Learning Methods
Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on machine Learning: Case Study of Iran
Estimating Hourly Surface Solar Irradiance from GK2A/AMI Data Using machine Learning Approach around Korea
Estimating Irrigation Water Consumption Using machine Learning and Remote Sensing Data in Kansas High Plains
Estimating Next Day's Forest Fire Risk via a Complete machine Learning Methodology
Estimating Pasture Biomass Using Sentinel-2 Imagery and machine Learning
Estimating PM2.5 Concentrations Using the machine Learning RF-XGBoost Model in Guanzhong Urban Agglomeration, China
Estimating Rainfall with Multi-Resource Data over East Asia Based on machine Learning
Estimating Rangeland Fine Fuel Biomass in Western Texas Using High-Resolution Aerial Imagery and machine Learning
Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with machine Learning Algorithms
Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on machine Learning
Estimating the Impact of COVID-19 on the PM2.5 Levels in China with a Satellite-Driven machine Learning Model
Estimating the Routing Parameter of the Xin'anjiang Hydrological Model Based on Remote Sensing Data and machine Learning
Estimating Water Level in The Urmia Lake Using Satellite Data: A machine Learning Approach
Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and machine Learning
Estimation and Mapping of Carbon Stocks in Riparian Forests by using a machine Learning Approach with Multiple Geodata
Estimation of a fluorescent lamp spectral distribution for color image in machine vision
Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and machine Learning
Estimation of Apple Tree Leaf Chlorophyll Content Based on machine Learning Methods
Estimation of Bale Grazing and Sacrificed Pasture Biomass through the Integration of Sentinel Satellite Images and machine Learning Techniques
Estimation of Canopy Structure of Field Crops Using Sentinel-2 Bands with Vegetation Indices and machine Learning Algorithms
Estimation of Climatologies of Average Monthly Air Temperature over Mongolia Using MODIS Land Surface Temperature (LST) Time Series and machine Learning Techniques
Estimation of Cotton Nitrogen Content Based on Multi-Angle Hyperspectral Data and machine Learning Models
Estimation of Daily and Instantaneous Near-Surface Air Temperature from MODIS Data Using machine Learning Methods in the Jingjinji Area of China
Estimation of Daily Ground Level Air Pollution in Italian Municipalities with machine Learning Models Using Sentinel-5P and ERA5 Data
Estimation of Daily Maize Gross Primary Productivity by Considering Specific Leaf Nitrogen and Phenology via machine Learning Methods
Estimation of High-Density Regions Using One-Class Neighbor machines
Estimation of Maximum Hail Diameters from FY-4A Satellite Data with a machine Learning Method
Estimation of National Forest Aboveground Biomass from Multi-Source Remotely Sensed Dataset with machine Learning Algorithms in China
Estimation of Non-Optically Active Water Quality Parameters in Zhejiang Province Based on machine Learning
Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and machine Learning Methods
Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and machine-Learning Regression
Estimation of Potato Yield Using Satellite Data at a Municipal Level: A machine Learning Approach
Estimation of Salinity Content in Different Saline-Alkali Zones Based on machine Learning Model Using FOD Pretreatment Method
Estimation of seismic building structural types using multi-sensor remote sensing and machine learning techniques
Estimation of Soil Organic Carbon Content in Coastal Wetlands with Measured VIS-NIR Spectroscopy Using Optimized Support Vector machines and Random Forests
Estimation of Soil Salinization by machine Learning Algorithms in Different Arid Regions of Northwest China
Estimation of Soil Salt Content at Different Depths Using UAV Multi-Spectral Remote Sensing Combined with machine Learning Algorithms
Estimation of Soybean Yield by Combining Maturity Group Information and Unmanned Aerial Vehicle Multi-Sensor Data Using machine Learning
Estimation of Sugarcane Yield Using a machine Learning Approach Based on UAV-LiDAR Data
Estimation of Surface NO2 Concentrations over Germany from TROPOMI Satellite Observations Using a machine Learning Method
Estimation of the Bio-Parameters of Winter Wheat by Combining Feature Selection with machine Learning Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Images
Estimation of the Water Level in the Ili River from Sentinel-2 Optical Data Using Ensemble machine Learning
Estimation of Usable Area of Flat-Roof Residential Buildings Using Topographic Data with machine Learning Methods
Estimation of Winter Wheat Plant Nitrogen Concentration from UAV Hyperspectral Remote Sensing Combined with machine Learning Methods
Ethiopian maize diseases recognition and classification using support vector machine
Evaluating Combinations of Sentinel-2 Data and machine-Learning Algorithms for Mangrove Mapping in West Africa
Evaluating Downscaling Factors of Microwave Satellite Soil Moisture Based on machine Learning Method
Evaluating Empirical Regression, machine Learning, and Radiative Transfer Modelling for Estimating Vegetation Chlorophyll Content Using Bi-Seasonal Hyperspectral Images
Evaluating Feature Selection Methods and machine Learning Algorithms for Mapping Mangrove Forests Using Optical and Synthetic Aperture Radar Data
Evaluating Land Use and Ecological Patterns in Xiong'an New Area of China with machine Learning Methodology
Evaluating Landslide Susceptibility Using Sampling Methodology and Multiple machine Learning Models
Evaluating Late Blight Severity in Potato Crops Using Unmanned Aerial Vehicles and machine Learning Algorithms
Evaluating machine Learning and Geostatistical Methods for Spatial Gap-Filling of Monthly ESA CCI Soil Moisture in China
Evaluating machine Learning and Remote Sensing in Monitoring NO2 Emission of Power Plants
Evaluating optical-flow algorithms on a parallel machine
Evaluating the Effect of Training Data Size and Composition on the Accuracy of Smallholder Irrigated Agriculture Mapping in Mozambique Using Remote Sensing and machine Learning Algorithms
Evaluating the Effectiveness of machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region
Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the machine Learning Paradigm
Evaluating the Potential of Sentinel-2 Time Series Imagery and machine Learning for Tree Species Classification in a Mountainous Forest
Evaluating Variable Selection and machine Learning Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data
Evaluation of Backscattering Models and Support Vector machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data
Evaluation of Conditioning Factors of Slope Instability and Continuous Change Maps in the Generation of Landslide Inventory Maps Using machine Learning (ML) Algorithms
Evaluation of Different machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data
Evaluation of Different machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Evaluation of Eight machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products, An
Evaluation of Empirical and machine Learning Algorithms for Estimation of Coastal Water Quality Parameters
Evaluation of Feature Selection Methods for Object-Based Land Cover Mapping of Unmanned Aerial Vehicle Imagery Using Random Forest and Support Vector machine Classifiers
Evaluation of LBP Variants in Retinal Blood Vessels Segmentation Using machine Learning
Evaluation of machine Learning Algorithms in the Classification of Multispectral Images from the Sentinel-2A/2B Orbital Sensor for Mapping the Environmental Dynamics of Ria Formosa (Algarve, Portugal)
Evaluation of machine Learning Classifiers for Mapping Falcata Plantations in Sentinel-2 Image
Evaluation of machine Learning Techniques in Vine Leaves Disease Detection: a Preliminary Case Study On Flavescence DorÉe
Evaluation of Perceptual Biases in Facial Expression Recognition by Humans and machines
Evaluation of Prescribed Fires from Unmanned Aerial Vehicles (UAVs) Imagery and machine Learning Algorithms
Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale machine Learning Classification
Evaluation of Soil Properties, Topographic Metrics, Plant Height, and Unmanned Aerial Vehicle Multispectral Imagery Using machine Learning Methods to Estimate Canopy Nitrogen Weight in Corn
Evaluation of the surface finish of ground components and study on lighting conditions in machine vision system
Evaluation of the Use of UAV-Derived Vegetation Indices and Environmental Variables for Grapevine Water Status Monitoring Based on machine Learning Algorithms and SHAP Analysis
Evaluation of Three Different machine Learning Methods for Object-Based Artificial Terrace Mapping: A Case Study of the Loess Plateau, China
Evaluations of machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations
Evasion Attack STeganography: Turning Vulnerability Of machine Learning To Adversarial Attacks Into A Real-world Application
Even More Confident Predictions with Deep machine-Learning
Event Detection in Field Sports Video Using Audio-Visual Features and a Support Vector machine
Evolutionary extreme learning machine
Evolutionary Regression machines for Precision Agriculture
Evolving Fully Automated machine Learning via Life-Long Knowledge Anchors
Examining the Capability of Supervised machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood
Experiment design of machine vision measurement based on set algebra theory for discrete mathematics course
Experimental machine Vision System for Quality Control of Industrial Colour Printer, An
Experimental Study of machine Recognition of Hand-Printed Numerals, A
Experiments in the machine Interpretation of Visual Motion
Expert System for Industrial machine Vision, An
Explainable Boosting machines for Slope Failure Spatial Predictive Modeling
Explainable Online Validation of machine Learning Models for Practical Applications
Explicit Length Modelling for Statistical machine Translation
Exploiting Data Parallelism in Vision on the Connection machine System
Exploiting Earth Observation Data to Impute Groundwater Level Measurements with an Extreme Learning machine
Exploiting Multimedia Content: A machine Learning Based Aproach
Exploiting multiplex data relationships in Support Vector machines
Exploiting subclass information in Support Vector machines
Exploiting the Classification Performance of Support Vector machines with Multi-Temporal Moderate-Resolution Imaging Spectroradiometer (MODIS) Data in Areas of Agreement and Disagreement of Existing Land Cover Products
Exploiting Visual Quasi-periodicity for Automated Chewing Event Detection Using Active Appearance Models and Support Vector machines
Exploration of machine Learning Techniques in Emulating a Coupled Soil-Canopy-Atmosphere Radiative Transfer Model for Multi-Parameter Estimation From Satellite Observations
Exploratory Analysis of Driving Force of Wildfires in Australia: An Application of machine Learning within Google Earth Engine
Exploring Complementary Models Consisting of machine Learning Algorithms for Landslide Susceptibility Mapping
Exploring Discriminative Word-Level Domain Contexts for Multi-Domain Neural machine Translation
Exploring Dual-Energy CT Spectral Information for machine Learning-Driven Lesion Diagnosis in Pre-Log Domain
Exploring machine Learning to Correct Satellite-Derived Sea Surface Temperatures
Exploring Random Forest machine Learning and Remote Sensing Data for Streamflow Prediction: An Alternative Approach to a Process-Based Hydrologic Modeling in a Snowmelt-Driven Watershed
Exploring Relevance Vector machines for Faster Pedestrian Classification
Exploring the Correlation between Streetscape and Economic Vitality Using machine Learning: A Case Study in the Old Urban District of Xuzhou, China
Exploring the Individualized Effect of Climatic Drivers on MODIS Net Primary Productivity through an Explainable machine Learning Framework
Exploring the Open World Using Incremental Extreme Value machines
Exploring the Potential of machine Learning for Automatic Slum Identification from VHR Imagery
Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with machine Learning Algorithms
Exploring the Synergy of Humans and machines in Extreme Video Retrieval
Exploring the Utility of machine Learning-Based Passive Microwave Brightness Temperature Data Assimilation over Terrestrial Snow in High Mountain Asia
Exploring Tiny Images: The Roles of Appearance and Contextual Information for machine and Human Object Recognition
Exploring Wetland Dynamics in Large River Floodplain Systems with Unsupervised machine Learning: A Case Study of the Dongting Lake, China
Exploring Wordle- Based on Improved machine Learning Models
Exposing and modeling underlying mechanisms in ALS with machine learning
Extended Target Tracking Utilizing machine-Learning Software-With Applications to Animal Classification
Extending Convolutional Pose machines for Facial Landmark Localization in 3D Point Clouds
Extensions of Scale-Space Filtering to machine Sensing Systems
Extracting Contours of Hydrothermal Chimney Undersea Images Based on machine Vision
Extraction of Main Urban Roads from High Resolution Satellite Images by machine Learning
Extraction of Multiple Diseases in Apple Leaf Using machine Learning
Extraction of Photovoltaic Plants Using machine Learning Methods: A Case Study of the Pilot Energy City of Golmud, China
Extraction of Plant Physiological Status from Hyperspectral Signatures Using machine Learning Methods
Extraction of Sea Ice Cover by Sentinel-1 SAR Based on Support Vector machine With Unsupervised Generation of Training Data
Extraction of Spatio-Temporal Energy in Human and machine Vision, The
Extraction of Urban Quality of Life Indicators Using Remote Sensing and machine Learning: The Case of Al Ain City, United Arab Emirates (UAE)
Extreme learning machine for out-of-sample extension in Laplacian eigenmaps
Extreme learning machine with feature mapping of kernel function
Extreme Learning machine with Superpixel-Guided Composite Kernels for SAR Image Classification
Extreme Learning machine, ELM
Extreme learning machines with expectation kernels
Extreme Value machine, The
Eye specular highlights telltales for digital forensics: A machine learning approach
Face Authentication by Retinotopic Sampling of the Gabor Decomposition and Support Vector machines
Face Authentication Using One-Class Support Vector machines
Face Detection and Facial Component Extraction by Wavelet Decomposition and Support Vector machines
Face detection and facial feature extraction using support vector machines
Face detection based on hierarchical support vector machines
Face Detection Based on Multiple Regression and Recognition Support Vector machines
Face Detection Based on Template Matching and Support Vector machines
Face Detection in Thermal Infrared Images: A Comparison of Algorithm- and machine-Learning-Based Approaches
Face detection using discriminating feature analysis and Support Vector machine
Face detection using discriminating feature analysis and support vector machine in video
Face Model Fitting Based on machine Learning from Multi-Band Images of Facial Components
Face Occlusion Detection for Automated Teller machine Surveillance
Face Pose Discrimination Using Support Vector machines (SVM)
Face Processing System Based on Committee machine: The Approach and Experimental Results, A
Face recognition and alignment using support vector machines
Face Recognition by Support Vector machines
Face recognition committee machines: dynamic vs. static structures
Face recognition using HMAX method for feature extraction and support vector machine classifier
Face Recognition Using Independent Component Analysis and Support Vector machines
Face Recognition Using Support Vector machines with the Feature Set Extracted by Genetic Algorithms
Face Recognition with Learning machines
Face Recognition with Support Vector machines: Global versus Component-based Approach
Face spoofing detection based on color texture Markov feature and support vector machine recursive feature elimination
Facial Action Unit Detection using Probabilistic Actively Learned Support Vector machines on Tracked Facial Point Data
Facial age estimation using Clustered Multi-task Support Vector Regression machine
Facial component extraction and face recognition with support vector machines
Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector machines
Facial expression recognition using human machine interaction and multi-modal visualization analysis for healthcare applications
Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann machines
Facial Features Detection by Saccadic Exploration of the Gabor Decomposition and Support Vector machines
Facial Landmark machines: A Backbone-Branches Architecture With Progressive Representation Learning
Facial skin colour classification using machine learning and hyperspectral imaging data
Facies Identification Based on Multikernel Relevance Vector machine
Factored four way conditional restricted Boltzmann machines for activity recognition
Fake Review Classification Using Supervised machine Learning
FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using machine Learning
Farsi/Arabic Handwritten from machine-Printed Words Discrimination
Fast 2D to 3D conversion using a clustering-based hierarchical search in a machine learning framework
Fast 3D-HEVC Depth Map Encoding Using machine Learning
Fast 3D-HEVC inter coding using data mining and machine learning
Fast active learning for hyperspectral image classification using extreme learning machine
Fast Address Block Location on Handwritten and machine Printed Mail-Piece Images
Fast Algorithm for Cellular Logic Operations on Sequential machines, A
Fast and Accurate Face Recognition Using Support Vector machines
Fast and Efficient Pedestrian Detection via the Cascade Implementation of an Additive Kernel Support Vector machine
Fast Bayesian Compressed Sensing Algorithm via Relevance Vector machine for LASAR 3D Imaging
Fast Coding Unit Partition Decision for HEVC Using Support Vector machines
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
Fast CU partition decision using machine learning for screen content compression
Fast CU partition-based machine learning approach for reducing HEVC complexity
Fast CU size decision algorithm using machine learning for HEVC intra coding
Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines
Fast Feature Detection and Matching for machine Vision
Fast generalized ramp loss support vector machine for pattern classification
Fast Image Classification with Reduced Multiclass Support Vector machines
fast learning algorithm for multi-layer extreme learning machine, A
Fast line detection method for Railroad Switch machine Monitoring System
Fast model selection for MaxMinOver-based training of support vector machines
Fast multi-label core vector machine
Fast partitioning algorithm for HEVC Intra frame coding using machine learning
Fast Rule-Line Removal Using Integral Images and Support Vector machines
Fast SAR Autofocus Based on Ensemble Convolutional Extreme Learning machine
Fast Support Vector machine Classification using linear SVMs
Fast support vector machine training via three-term conjugate-like SMO algorithm
Fast transrating for high efficiency video coding based on machine learning
Fast, Accurate Detection of 100,000 Object Classes on a Single machine
Faster and Better: A machine Learning Approach to Corner Detection
Fault Analysis and Performance Monitoring in Prototyping machine Vision Systems
Fault diagnosis of machines based on D-S evidence theory. Part 1: D-S evidence theory and its improvement
Fault diagnosis of machines based on D-S evidence theory. Part 2: Application of the improved D-S evidence theory in gearbox fault diagnosis
Fault diagnosis of ZDJ7 railway point machine based on improved DCNN and SVDD classification
FCFD: Teach the machine to accomplish face detection step by step
Feature Disentangling machine: A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis
Feature Extraction in an Optical Character Recognition machine
Feature generation and machine learning for robust multimodal biometrics
Feature Line Embedding Based on Support Vector machine for Hyperspectral Image Classification
Feature selection for linear support vector machines
Feature Selection for Support Vector machines
Feature selection with kernelized multi-class support vector machine
Feature Structure Similarity Index for Hybrid Human and machine Vision
Feature Super-Resolution: Make machine See More Clearly
feature transformation method based on multi objective particle swarm optimization for reducing support vector machine error, A
Feature-Ensemble-Based Crop Mapping for Multi-Temporal Sentinel-2 Data Using Oversampling Algorithms and Gray Wolf Optimizer Support Vector machine
Features classification using geometrical deformation feature vector of support vector machine and active appearance algorithm for automatic facial expression recognition
Feedback free DVC architecture using machine learning
FEMa-FS: Finite Element machines for Feature Selection
Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a machine-Learning Approach
Few-Shot Object Recognition from machine-Labeled Web Images
Filtering Green Vegetation Out from Colored Point Clouds of Rocky Terrains Based on Various Vegetation Indices: Comparison of Simple Statistical Methods, Support Vector machine, and Neural Network
Fine Land Cover Classification in an Open Pit Mining Area Using Optimized Support Vector machine and WorldView-3 Imagery
Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and machine Learning in Northeast Plain China
Fine-Scale Mapping of Natural Ecological Communities Using machine Learning Approaches
Fine-Scale Mapping of Soil Organic Matter in Agricultural Soils Using UAVs and machine Learning
Fingerprint classification using one-vs-all support vector machines dynamically ordered with naieve Bayes classifiers
Fingerprint Classification with Combinations of Support Vector machines
Fingerprints for machines: Characterization and Optical Identification of Grinding Imprints
Finite state machine for vehicle detection in highway surveillance systems
First Approach to Aerosol Classification Using Space-Borne Measurement Data: machine Learning-Based Algorithm and Evaluation, A
First Investigation of Mediterranean Oak Tree Vitality With High-resolution Worldview-3 Satellite Data: Comparing Ten Vegetation Indices and Three machine Learning Classifiers
Fit-for-purpose Algorithm for Environmental Monitoring Based On Maximum Likelihood, Support Vector machine and Random Forest, A
Flash Flood Risk Analysis Based on machine Learning Techniques in the Yunnan Province, China
Flash Flood Susceptibility Modeling and Magnitude Index Using machine Learning and Geohydrological Models: A Modified Hybrid Approach
Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based machine Learning Algorithms
Flash Flood Water Depth Estimation Using SAR Images, Digital Elevation Models, and machine Learning Algorithms
Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and machine Learning Supported by Remote Sensing and GIS Techniques
Flexible Inference machine for Global Alignment of Wall Openings, A
Flexible view recognition for indoor navigation based on Gabor filters and support vector machines
Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier
Flood Monitoring in the Middle and Lower Basin of the Yangtze River Using Google Earth Engine and machine Learning Methods
Flood Susceptibility Mapping Using SAR Data and machine Learning Algorithms in a Small Watershed in Northwestern Morocco
Foot Modeling Based on machine Vision and Social Manufacturing Research
Forecasting Cash Demand in ATM Using Neural Networks and Least Square Support Vector machine
Forecasting PM10 Levels Using machine Learning Models in the Arctic: A Comparative Study
Forecasting the Propagation from Meteorological to Hydrological and Agricultural Drought in the Huaihe River Basin with machine Learning Methods
Forensic Scanner Identification Using machine Learning
Forest Aboveground Biomass Estimation Using machine Learning Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction
Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on machine Learning Methods
Forest Community Spatial Modeling Using machine Learning and Remote Sensing Data
Forest Damage by Super Typhoon Rammasun and Post-Disturbance Recovery Using Landsat Imagery and the machine-Learning Method
Forest Disturbance Detection with Seasonal and Trend Model Components and machine Learning Algorithms
Forest Fire Occurrence Prediction in China Based on machine Learning Methods
Forest Fire Susceptibility Modeling Approach Based on Light Gradient Boosting machine Algorithm, A
Forest Fire Susceptibility Prediction Based on machine Learning Models with Resampling Algorithms on Remote Sensing Data
Forest Height Mapping Using Feature Selection and machine Learning by Integrating Multi-Source Satellite Data in Baoding City, North China
Forest Vertical Structure Mapping Using Two-Seasonal Optic Images and LiDAR DSM Acquired from UAV Platform through Random Forest, XGBoost, and Support Vector machine Approaches
Foreword to the Special Issue on machine Learning for Geospatial Data Analysis
Formal machine-Learning Approach to Generating Human-Machine Interfaces From Task Models, A
Formal machine-Learning Approach to Generating Human-Machine Interfaces From Task Models, A
Formalizing Human-machine Interactions for Adaptive Automation in Smart Manufacturing
Foundations and Trends® in machine Learning
FPGA-based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme learning machine
FPR using machine learning with multi-feature method
Framework for image retrieval using machine learning and statistical similarity matching techniques
Framework for machine Vision Based Traffic Sign Inventory
Framework for Semantic Classification of Scenes Using Finite State machines, A
Framework for the Construction of Reflectance Maps for machine Vision, A
From machine generated to handwritten character recognition; a deep learning approach
From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting machine Learning
From the Symbolic Analysis of Virtual Faces to a Smiles machine
Frontal Face Detection Using Support Vector machines and Back-Propagation Neural Networks
FS_SFS: A novel feature selection method for support vector machines
Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing machine Learning Methods
Fully Automatic, Interpretable and Adaptive machine Learning Approach to Map Burned Area from Remote Sensing, A
Fully Decomposed Singular Value and Fixed Dictionary Extreme Learning machine for Bogie Fault Diagnosis
Fully Unsupervised machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products, A
Function Dot Product Kernels for Support Vector machine
Functionally Reconfigurable General Purpose Parallel machines and Some Image Processing and Pattern Recognition Applications
Fused Method of machine Learning and Dynamic Time Warping for Road Anomalies Detection, A
Fusing dual-tree quaternion wavelet transform and local mesh based features for grading of diabetic retinopathy using extreme learning machine classifier
Fusing image representations for classification using support vector machines
Fusion of Multispectral Aerial Imagery and Vegetation Indices for machine Learning-Based Ground Classification
Fusion of range and intensity images on a connection machine (CM-2)
Fusion of Support Vector machines for Classification of Multisensor Data
Fusion of visual attention cues by machine learning
Future Intelligent and Secure Vehicular Network Toward 6G: machine-Learning Approaches
Future-Directions in Industrial machine Vision: A Case-Study of Semiconductor Manufacturing Applications
Fuzzy Least Squares Support Vector machine With Adaptive Membership for Object Tracking
Fuzzy relevance vector machine based classification of lung nodules in computed tomography images
Fuzzy relevance vector machine for learning from unbalanced data and noise
Fuzzy State machines to Recognize Totally Unconstructed Handwritten Strokes
Fuzzy Support Vector machine for breast cancer gene classification
Fuzzy Support Vector machines for ECG Arrhythmia Detection
Fuzzy support vector machines for multilabel classification
Fuzzy System Learned Through Fuzzy Clustering and Support Vector machine for Human Skin Color Segmentation
Fuzzy-rough feature selection aided support vector machines for Mars image classification
Fuzzy-stochastic functor machine for general humanoid-robot dynamics
Fuzzy-Topology-Integrated Support Vector machine for Remotely Sensed Image Classification
GA-based model selection for smooth twin parametric-margin support vector machine, A
Gait Recognition Using Wavelet Packet Silhouette Representation and Transductive Support Vector machines
Gap-Filling Eddy Covariance Latent Heat Flux: Inter-Comparison of Four machine Learning Model Predictions and Uncertainties in Forest Ecosystem
Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on machine Learning Techniques
Gas Prices of America: The machine-Augmented Crowd-Sourcing Era
Gauss-like Logarithmic Kernel Function to improve the performance of kernel machines on the small datasets
Gaussian mixture model and support vector machine approach to vehicle type and colour classification, A
Gaze latent support vector machine for image classification
Gaze latent support vector machine for image classification improved by weakly supervised region selection
Gender Classification Using Support Vector machines
Gender Classification with Support Vector machines
General Framework to Deal with the Scaling Problem in Phrase-Based Statistical machine Translation, A
General machine Learning Framework for Solving Real Applications with a Texture Perception Case Study, A
general method for training the committee machine, A
General support vector representation machine for one-class classification of non-stationary classes
Generalization Memorization machine with Zero Empirical Risk for Classification
Generalization of the Lambertian Model and Implications for machine Vision
Generalization Performance of Learning machine Based on Phi-mixing Sequence, The
Generalized Gabor Scheme of Image Representation in Biological and machine Vision, The
Generalizing Correspondence Analysis for Applications in machine Learning
Generalizing intersection kernel support vector machines for color texture based recognition
Generating High-Resolution and Long-Term SPEI Dataset over Southwest China through Downscaling EEAD Product by machine Learning
Generating Synthetic Computed Tomography (CT) Images to Improve the Performance of machine Learning Model for Pediatric Abdominal Anomaly Detection
Generative and Discriminative Fuzzy Restricted Boltzmann machine Learning for Text and Image Classification
generative restricted Boltzmann machine based method for high-dimensional motion data modeling, A
Genetic Algorithms for Clustering in machine Vision
Genetic algorithms for feature selection in machine condition monitoring with vibration signals
Genetic Prediction in Bovine Meat Production: Is Worth Integrating Bayesian and machine Learning Approaches? a Comprenhensive Analysis
GenISP: Neural ISP for Low-Light machine Cognition
Geo-Object-Based Vegetation Mapping via machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China
GeoAI for Large-Scale Image Analysis and machine Vision: Recent Progress of Artificial Intelligence in Geography
GEOBIA 2016: Advances in Object-Based Image Analysis: Linking with Computer Vision and machine Learning
Geodesic Flow Kernel Support Vector machine for Hyperspectral Image Classification by Unsupervised Subspace Feature Transfer
Geographic Disparity in machine Intelligence Approaches for Archaeological Remote Sensing Research
Geographically Weighted machine Learning and Downscaling for High-Resolution Spatiotemporal Estimations of Wind Speed
Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four machine Learning and Statistical Models
Geological Mapping Using machine Learning Algorithms
geometric approach to machine-printed character recognition, A
Geometric Approach to Train Support Vector machines, A
Geometric Computation for machine Vision
Geometric method for document understanding and classification using online machine learning
Geon Theory as an Account of Shape Recognition in Mind, Brain and machine
Geospatial and machine Learning Regression Techniques for Analyzing Food Access Impact on Health Issues in Sustainable Communities
Geospatial machine Learning Datasets Structuring and Classification Tool: Case Study for Mapping LULC From Rasat Satellite Images
Gestural Interactions of Embodied Educational Technology Using One-Shot machine Learning
Gesture Based English Character Recognition for Human machine Interaction in Interactive Set Top Box Using Multi-factor Analysis
Gesture Modeling and Recognition Using Finite State machines
Gesture recognition for human-machine interaction in table tennis video based on deep semantic understanding
Gesture-Based Human-machine Interaction: Taxonomy, Problem Definition, and Analysis
Gesture-controlled interfaces for self-service machines and other applications
GF-Net: Improving machine reading comprehension with feature gates
GFMRC: A machine reading comprehension model for named entity recognition
gingivitis identification method based on contrast-limited adaptive histogram equalization, gray-level co-occurrence matrix, and extreme learning machine, A
GIS and machine Learning for Analysing Influencing Factors of Bushfires Using 40-Year Spatio-Temporal Bushfire Data
GIS and machine Learning Models Target Dynamic Settlement Patterns and Their Driving Mechanisms from the Neolithic to Bronze Age in the Northeastern Tibetan Plateau
GIS-Based machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
GIS-Based Support Vector machine Model for Flash Flood Vulnerability Assessment and Mapping in China, A
Giving machines humanlike eyes
Glacier Facies Mapping Using a machine-Learning Algorithm: The Parlung Zangbo Basin Case Study
Glioma grade detection using grasshopper optimization algorithm-optimized machine learning methods: The Cancer Imaging Archive study
Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using machine Learning
Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on machine Learning Methods
Global Mapping of Soil Water Characteristics Parameters: Fusing Curated Data with machine Learning and Environmental Covariates
Global Water Quality of Inland Waters with Harmonized Landsat-8 and Sentinel-2 Using Cloud-Computed machine Learning
Globally convergent iterative numerical schemes for nonlinear variational image smoothing and segmentation on a multiprocessor machine
Globally vs. Locally Trained machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape
GNSS-Based machine Learning Storm Nowcasting
GNSS-R Soil Moisture Retrieval Based on a XGboost machine Learning Aided Method: Performance and Validation
Goal-Directed Classification Using Linear machine Decision Trees
Google Earth Engine, Open-Access Satellite Data, and machine Learning in Support of Large-Area Probabilistic Wetland Mapping
GPR Signal Characterization for Automated Landmine and UXO Detection Based on machine Learning Techniques
Gradient Boosting machine and Object-Based CNN for Land Cover Classification
Gradient Local Auto-Correlations and Extreme Learning machine for Depth-Based Activity Recognition
Gradient-based Algorithms for machine Teaching
Grammar of Dimensions in machine Drawings, The
Granular Support Vector machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli
Graph Theory Based Large-Scale machine Learning With Multi-Dimensional Constrained Optimization Approaches for Exact Epidemiological Modeling of Pandemic Diseases
Graph-Regularized Structured Support Vector machine for Object Tracking
Graphical Human-machine Interactive Approach for Integrated Bus Transit Scheduling: Lessons Gained From a Large Bus Company
Green Fingerprint of Antarctica: Drones, Hyperspectral Imaging, and machine Learning for Moss and Lichen Classification, A
Grid Coding: A Preprocessing Technique for Robot and machine Vision
Grip-Pattern Recognition in Smart Gun Based on Likelihood-Ratio Classifier and Support Vector machine
Ground echoes filtering using the completed local binary pattern and the support vector machine
Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A machine Learning-Based Approach
Groundwater Level Data Imputation Using machine Learning and Remote Earth Observations Using Inductive Bias
Group-based relevance feedback with support vector machine ensembles
Guest Editorial Introduction to the Special Issue on Advanced machine Learning Methodologies for Large-Scale Video Object Segmentation and Detection
Guest Editorial Introduction to the Special Issue on Graph-Based machine Learning for Intelligent Transportation Systems
Guest Editorial machine Learning for Vision
Guest Editorial on Decision Making in Human and machine Vision
Guest Editorial Special Issue on Situation, Activity, and Goal Awareness in Cyber-Physical Human-machine Systems
Guest Editorial: Automated machine Learning
Guest Editorial: machine Vision Applications
Guest Editorial: Multidisciplinary advancement of imaging technologies: from medical diagnostics and genomics to cognitive machine vision, and artificial intelligence
Guest Editorial: Non-Euclidean machine Learning
Guest Editorial: Towards machines Able to Deal with Laughter
Guideline-Based machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound
Gully Erosion Susceptibility Mapping in Highly Complex Terrain Using machine Learning Models
H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced machine Learning
Hand gesture based TV control system: Towards both user- and machine-friendly gesture applications
Hand gesture machine control system
Hand pose estimation using support vector machines with evolutionary training
Hand-Printed Chinese Character Recognition via machine Learning
Handling Imbalanced Classification Problems With Support Vector machines via Evolutionary Bilevel Optimization
Handling Multi-Class Problem by Intuitionistic Fuzzy Twin Support Vector machines Based on Relative Density Information
Handprinted Hiragana recognition using support vector machines
Handwriting gender recognition system based on the one-class support vector machines
Handwritten and machine Printed Text Separation in Document Images Using the Bag of Visual Words Paradigm
Handwritten Bangla character recognition in machine-printed forms using gradient information and Haar wavelet
Handwritten Text Separation from Annotated machine Printed Documents Using Markov Random Fields
Hardware-Efficient Ultrasonic Entrance Counting: Comparing Different machine Learning Approaches
Harnessing machine Learning Techniques for Mapping Aquaculture Waterbodies in Bangladesh
HART, a heterogeneous architecture for real-time prototyping, development and implementation of machine vision applications
Hash-Based Support Vector machines Approximation for Large Scale Prediction
Hash-SVM: Scalable Kernel machines for Large-Scale Visual Classification
HCI for Elderly, Measuring Visual Complexity of Webpages Based on machine Learning
HDR Display Quality Evaluation by incorporating Perceptual Component Models into a machine Learning framework
Heat Exchange Capacity Prediction of Borehole Heat Exchanger (BHE) From Infrastructure Based on machine Learning (ML) Methods
Helicobacter pylori infection detection from multiple x-ray images based on combination use of support vector machine and multiple kernel learning
Helmholtz machine, The
Help-Training for semi-supervised support vector machines
Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using machine Learning
Heri-Graphs: A Dataset Creation Framework for Multi-Modal machine Learning on Graphs of Heritage Values and Attributes with Social Media
Hessian Regularized Support Vector machines for Mobile Image Annotation on the Cloud
Heterogeneous and Reconfigurable machine-Vision System, A
Heterogeneous Feature Fusion Based machine Learning on Shallow-wide and Heterogeneous-sparse Industrial Datasets
Heterogeneous feature machines for visual recognition
Heterogeneous machine learning system for improving the diagnosis of primary aldosteronism
Heterogeneous Visual Features Fusion via Sparse Multimodal machine
Hierarchical classification and feature reduction for fast face detection with support vector machines
hierarchical classifier using new support vector machine, A
Hierarchical clustering on SIMD machines with alignment network
Hierarchical ensemble of Extreme Learning machine
Hierarchical Image Feature Compression for machines via Feature Sparsity Learning
Hierarchical linear support vector machine
Hierarchical machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification, A
Hierarchical mixing linear support vector machines for nonlinear classification
Hierarchical Spatial-Temporal State machine for Vehicle Instrument Cluster Manufacturing
Hierarchy in machine and Natural Vision
High Resolution POLSAR Image Classification Based on Genetic Algorithm and Support Vector machine
High Spatiotemporal Resolution PM2.5 Concentration Estimation with machine Learning Algorithm: A Case Study for Wildfire in California
high throughput robot system for machine vision based plant phenotype studies, A
High Wind Speed Inversion Model of CYGNSS Sea Surface Data Based on machine Learning
High-Accuracy Mapping of Soil Parent Material Types in Hilly Areas at the County Scale Using machine Learning Algorithms
High-Dimensional MR Spatiospectral Imaging by Integrating Physics-Based Modeling and Data-Driven machine Learning: Current progress and future directions
High-Performance Reading machines
High-Resolution Cropland Map for the West African Sahel Based on High-Density Training Data, Google Earth Engine, and Locally Optimized machine Learning, A
High-Resolution Gridded Livestock Projection for Western China Based on machine Learning
High-Resolution Mangrove Forests Classification with machine Learning Using Worldview and UAV Hyperspectral Data
High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and machine Learning over Kuroshio Extension
High-Resolution Spatial Distribution-Based Integration machine Learning Algorithm for Urban Fire Risk Assessment: A Case Study in Chengdu, China, A
Higher Rank Support Tensor machines
Higher rank Support Tensor machines for visual recognition
Highly Efficient Audio Coding With Blind Spectral Recovery Based on machine Learning
Himawari-8/AHI Aerosol Optical Depth Detection Based on machine Learning Algorithm
Historical development of use of dynamical models for the representation of knowledge about real world processes in machine vision
Historical development of use of dynamical models for the representation of knowledge about real world processes in machine vision: Response
HM-PCGC: A Human-machine Balanced Point Cloud Geometry Compression Scheme
HM-SMF: An Efficient Strategy Optimization using a Hybrid machine Learning Model for Stock Market Prediction
Holistic Framework for Addressing the World Using machine Learning, A
Holistic Urdu Handwritten Word Recognition Using Support Vector machine
Hopfield-type neural ordinary differential equation for robust machine learning
Hot spot method for pedestrian detection using saliency maps, discrete Chebyshev moments and support vector machine
Hotspot Modeling of Hand-machine Interaction Experiences from a Head-Mounted RGB-D Camera
Hotspots detection for machine operation in egocentric vision
Hotspots Integrating of Expert and Beginner Experiences of machine Operations through Egocentric Vision
Household Garbage Classification and Collection Device Based on machine Vision and Deep Learning, A
How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using machine Learning?
How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using machine Learning?
How the Small Object Detection via machine Learning and UAS-Based Remote-Sensing Imagery Can Support the Achievement of SDG2: A Case Study of Vole Burrows
How to Program the Connection machine for Computer Vision
How to separate between machine-Printed/Handwritten and Arabic/Latin Words?
Human Action Recognition: A Dense Trajectory and Similarity Constrained Latent Support Vector machine Approach
Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector machine
Human activity recognition using 2D skeleton data and supervised machine learning
Human and machine Perception: Information Fusion
Human and machine Recognition of Faces: A Survey
Human and machine Recognition of Faces: A Survey
Human and machine Recognition of Fourier-Bessel Filtered Face Images
Human and machine Vision
Human and machine Vision Special Issue
Human Behavior Analysis Using Multiple 2D Features and Multicategory Support Vector machine
Human Detection in Images via Piecewise Linear Support Vector machines
Human Detection of machine-Manipulated Media
Human experts vs. machines in taxa recognition
Human face detection using angular radial transform and support vector machines
Human face recognition based on multidimensional PCA and extreme learning machine
Human machine Interfaces in Upper-Limb Prosthesis Control: A Survey of Techniques for Preprocessing and Processing of Biosignals
Human motion recognition using support vector machines
Human or machine? It Is Not What You Write, But How You Write It
Human Pose Estimation Using Structural Support Vector machines
Human Pose Tracking Using Online Latent Structured Support Vector machine
Human skin detection: An unsupervised machine learning way
Human vs. machine Challenge in Fashion Color Classification, A
Human vs. machine, the Eyes Have It. Assessment of Stemphylium Leaf Blight on Onion Using Aerial Photographs from an NIR Camera
human-machine collaborative approach to tracking human movement in multi-camera video, A
Human-machine Collaborative Video Coding Through Cuboidal Partitioning
Human-machine Cooperative Steering Control Considering Mitigating Human-Machine Conflict Based on Driver Trust
Human-machine Cooperative Steering Control Considering Mitigating Human-Machine Conflict Based on Driver Trust
Human-machine Cooperative Trajectory Planning and Tracking for Safe Automated Driving
Human-machine CRFs for Identifying Bottlenecks in Scene Understanding
human-machine gambling system based on System on Programming Chip (SOPC), A
Human-machine Interaction in Intelligent and Connected Vehicles: A Review of Status Quo, Issues, and Opportunities
Human-machine Interaction Issues in Quality Control Based on Online Image Classification
Human-machine Interfacing by Decoding the Surface Electromyogram
Human-machine shared control for vehicle lane keeping systems: A Lyapunov-based approach
Human-machine Shared Steering Control for Vehicle Lane Keeping Systems via a Fuzzy Observer-Based Event-Triggered Method
Humanoid machine Vision System and GPS
Hybrid Approach Combining Conceptual Hydrological Models, Support Vector machines and Remote Sensing Data for Rainfall-Runoff Modeling, A
Hybrid Approach of Video Indexing and machine Learning for Rapid Indexing and Highly Precise Object Recognition
hybrid computer architecture for machine vision, A
hybrid deep and machine learning model for short-term traffic volume forecasting of adjacent intersections, A
Hybrid deep learning and machine learning approach for passive image forensic
Hybrid Kernel machine Ensemble for Imbalanced Data Sets
Hybrid machine learning and optimisation method to solve a tri-level road network protection problem
Hybrid machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing, A
Hybrid machine Learning Approach for Evapotranspiration Estimation of Fruit Tree in Agricultural Cyber-Physical Systems
Hybrid machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Hybrid machine Learning Model Coupling Double Exponential Smoothing and ELM to Predict Multi-Factor Landslide Displacement, A
Hybrid machine-Crowd Approach to Photo Retrieval Result Diversification, A
Hybrid Mathematical Symbol Recognition Using Support Vector machines
Hybrid Models Incorporating Bivariate Statistics and machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets
Hybrid Nonlinear and machine Learning Methods for Analyzing Factors Influencing the Performance of Large-Scale Transport Infrastructure
Hybrid Off-Line Handwritten Signature Verification Based on Artificial Immune Systems and Support Vector machines
hybrid optimization strategy for simplifying the solutions of support vector machines, A
Hybrid Similar Neighborhood Robust Factorization machine Model for Can Bus Intrusion Detection in the In-Vehicle Network, The
Hybrid support vector machines for robust object tracking
hybrid system for embedded machine vision using FPGAs and neural networks, A
hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning, A
Hybrid weighted-stego detection using machine learning
Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis
Hyperparameter selection of one-class support vector machine by self-adaptive data shifting
Hyperspectral and Lidar Data Applied to the Urban Land Cover machine Learning and Neural-Network-Based Classification: A Review
Hyperspectral Change Detection in Wetland and Water-body Areas Based On machine Learning
Hyperspectral Image Classification Based on a Least Square Bias Constraint Additional Empirical Risk Minimization Nonparallel Support Vector machine
Hyperspectral Image Classification Based on Non-Parallel Support Vector machine
Hyperspectral image classification with support vector machines on kernel distribution embeddings
Hyperspectral Image Classification with the Orthogonal Self-Attention ResNet and Two-Step Support Vector machine
Hyperspectral Imaging Combined with machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings
Hyperspectral Monitoring Driven by machine Learning Methods for Grassland Above-Ground Biomass
Hyperspectral Reflectance and machine Learning Approaches for the Detection of Drought and Root-Knot Nematode Infestation in Cotton
Hyperspectral Reflectance Proxies to Diagnose In-Field Fusarium Head Blight in Wheat with machine Learning
Hyperspectral Remote Sensing of TiO2 Concentration in Cementitious Material Based on machine Learning Approaches
Hypotheses Management for Scene Interpretation in a Multisensory Perception machine
I2VM: Incremental import vector machines
IAM Graph Database Repository for Graph Based Pattern Recognition and machine Learning
IAPR Conference on machine Vision Applications
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using machine Learning
Icing Detection over East Asia from Geostationary Satellite Data Using machine Learning Approaches
Iconic Image Analysis with the Pyramid Vision machine (PVM)
idea of a clustering algorithm using support vector machines based on binary decision tree, An
Identification of Abandoned Jujube Fields Using Multi-Temporal High-Resolution Imagery and machine Learning
Identification of Amaranthus Species Using Visible-Near-Infrared (Vis-NIR) Spectroscopy and machine Learning Methods
Identification of Electromagnetic Pre-Earthquake Perturbations from the DEMETER Data by machine Learning
Identification of Forested Landslides Using LiDar Data, Object-based Image Analysis, and machine Learning Algorithms
Identification of machine-Printed and Handwritten Words in Arabic and Latin Scripts
Identification of malnutrition and prediction of BMI from facial images using real-time image processing and machine learning
Identification of Poverty Areas by Remote Sensing and machine Learning: A Case Study in Guizhou, Southwest China
Identification of Significative LiDAR Metrics and Comparison of machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest
Identification of Village Building via Google Earth Images and Supervised machine Learning Methods
Identifying Architectural Style in 3D City Models with Support Vector machines
Identifying Conditioning Factors and Predictors of Conflict Likelihood for machine Learning Models: A Literature Review
Identifying Dynamic Changes in Water Surface Using Sentinel-1 Data Based on Genetic Algorithm and machine Learning Techniques
Identifying Mangrove Species Using Field Close-Range Snapshot Hyperspectral Imaging and machine-Learning Techniques
Identifying Optimal Wavelengths as Disease Signatures Using Hyperspectral Sensor and machine Learning
Identifying Spatial Determinants of Rice Yields in Main Producing Areas of China Using Geospatial machine Learning
Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and machine Learning Algorithms for Agri-Planning
Identifying Tree-Related Microhabitats in TLS Point Clouds Using machine Learning
Identifying Urban and Socio-Environmental Patterns of Brazilian Amazonian Cities by Remote Sensing and machine Learning
Identity verification through finger matching: A comparison of Support Vector machines and Gaussian Basis Functions classifiers
IEEE Symposium on machine Processing of Remotely Sensed Data
IEEE Tranactions on Human-machine Systems
IEEE Trans. Pattern Analysis and machine Intelligence
Ignorant Led by the Blind: A Hybrid Human-machine Vision System for Fine-Grained Categorization, The
Image Analysis and machine Learning: How to Foster a Stronger Connection?
Image and Boundary Segmentation Via Minimal-Length Encoding on the Connection machine
Image Classification for Mapping Oil Palm Distribution Via Support Vector machine Using Scikit-learn Module
Image Classification Using Convolutional Neural Networks and Kernel Extreme Learning machines
Image Coding for machines with Omnipotent Feature Learning
Image Feature Extraction on Connection machine CM-5
Image Operation Chain Detection with machine Translation Framework
Image processing and machine learning-based bone fracture detection and classification using X-ray images
Image Processing machines in Japan
Image Processing, Analysis and and machine Vision: A MATLAB Companion
Image Processing, Analysis, and machine Vision
Image Quality Measurement Using Sparse Extreme Learning machine Classifier
Image Reconstruction is a New Frontier of machine Learning
Image Reconstruction: From Sparsity to Data-Adaptive Methods and machine Learning
Image Representation and Retrieval Using Support Vector machine and Fuzzy C-means Clustering Based Semantical Spaces
Image Retrieval System Based on machine Learning and Using Color Features
Image segmentation algorithms based on the machine learning of features
Image segmentation based on ultimate levelings: From attribute filters to machine learning strategies
Image Segmentation of Bricks in Masonry Wall Using a Fusion of machine Learning Algorithms
Image super-resolution by extreme learning machine
Image tamper detection and classification using support vector machines
Image Technology: Advances in Image Processing, Multimedia, and machine Vision
Image Understanding and the Man-machine Interface
Image Understanding and the Man-machine Interface III
Image Understanding Architecture: Exploiting Potential Parallelism in machine Vision
Image Visual Realism: From Human Perception to machine Computation
Image-Derived Geometric Characteristics Predict Abdominal Aortic Aneurysm Growth in a machine Learning Model
Image-recognition technologies towards advanced automated teller machines
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches
Images of Image machines. Visual Interpretability in Computer Vision for Art
Imbalanced data classification using second-order cone programming support vector machines
Imclass: A User-tailored machine Learning Image Classification Chain For Change Detection Or Landcover Mapping
immersive time-machine: A virtual exploration of the history of Livorno, The
Impact of Feature Selection on Support Vector machine Using Microarray Gene Expression Data
Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector machines
Impact of Pan-Sharpening and Spectral Resolution on Vineyard Segmentation through machine Learning, The
Impact of Satellite-Derived Land Cover Resolution Using machine Learning and Hydrological Simulations
Impact of Training Set Configurations for Differentiating Plantation Forest Genera with Sentinel-2 Imagery and machine Learning
Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using machine Learning Classifiers
Implementation and Performance of a Complex Vision System on a Systolic Array machine
Implementation of Some Image Thresholding Algorithms on a Connection machine-200
Implementing Sentinel-2 Data and machine Learning to Detect Plant Stress in Olive Groves
Improved Accuracy of Phenological Detection in Rice Breeding by Using Ensemble Models of machine Learning Based on UAV-RGB Imagery
Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a machine Learning Approach
Improved conjugate gradient implementation for least squares support vector machines
Improved Defect Detection In Textile Visual Inspection Using Wavelet Analysis and Support Vector machines
Improved Extreme Learning machine with Parallelized Feature Mapping Structures, An
Improved Facial Expression Recognition with Trainable 2-D Filters and Support Vector machines
Improved Generalized Eigenvalue Proximal Support Vector machine
Improved Handwritten Chinese Character Recognition System Using Support Vector machine, An
Improved hyperspectral land-cover analysis using relevance vector machine
improved incremental training algorithm for support vector machines using active query, An
Improved kernel-based IRIS recognition system in the framework of support vector machine and hidden markov model
Improved Lithological Map of Large Complex Semi-Arid Regions Using Spectral and Textural Datasets within Google Earth Engine and Fused machine Learning Multi-Classifiers
Improved machine learning for image category recognition by local color constancy
improved machine learning technique based on downsized KPCA for Alzheimer's disease classification, An
improved multi-criteria-based feature selection approach for detection of coronary artery disease in machine learning paradigm, An
Improved multi-kernel classification machine with Nystrom approximation technique
Improved Online Support Vector machines Spam Filtering Using String Kernels
Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm
Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
Improved S-AF and S-DF Relaying Schemes Using machine Learning Based Power Allocation Over Cascaded Rayleigh Fading Channels
Improved Semi-Supervised Support Vector machine Based Translation Algorithm for BCI Systems, An
Improved Spectral Detection of Nitrogen Deficiency and Yellow Mosaic Disease Stresses in Wheat Using a Soil Effect Removal Algorithm and machine Learning
Improved support vector machine algorithm for heterogeneous data
Improved Support Vector machines with Distance Metric Learning
Improvement of Differential-GNSS Positioning by Estimating Code Double-Difference-Error Using machine Learning
Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)
Improving Accuracy of Herbage Yield Predictions in Perennial Ryegrass with UAV-Based Structural and Spectral Data Fusion and machine Learning
Improving Autonomous Vehicle Visual Perception by Fusing Human Gaze and machine Vision
Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and machine Learning Techniques
Improving Classification of Slow Cortical Potential Signals for BCI Systems With Polynomial Fitting and Voting Support Vector machine
Improving Convergence of Restricted Boltzmann machines via a Learning Adaptive Step Size
Improving Hourly Precipitation Estimates for Flash Flood Modeling in Data-Scarce Andean-Amazon Basins: An Integrative Framework Based on machine Learning and Multiple Remotely Sensed Data
Improving In-field Cassava Whitefly Pest Surveillance with machine Learning
Improving machine Learning Classifications of Phragmites australis Using Object-Based Image Analysis
Improving machine Vision Using Human Perceptual Representations: The Case of Planar Reflection Symmetry for Object Classification
Improving Mountain Snow and Land Cover Mapping Using Very-High-Resolution (VHR) Optical Satellite Images and Random Forest machine Learning Models
Improving Multiclass Text Classification with the Support Vector machine
Improving Multiple machine Vision Tasks in the Compressed Domain
Improving on-line handwritten recognition in interactive machine translation
Improving one class support vector machine novelty detection scheme using nonlinear features
Improving Parcel-Level Mapping of Smallholder Crops from VHSR Imagery: An Ensemble machine-Learning-Based Framework
Improving Potato Yield Prediction by Combining Cultivar Information and UAV Remote Sensing Data Using machine Learning
Improving relevant subjective testing for validation: Comparing machine learning algorithms for finding similarities in VQA datasets using objective measures
Improving Spatial Agreement in machine Learning-Based Landslide Susceptibility Mapping
Improving Spatial Disaggregation of Crop Yield by Incorporating machine Learning with Multisource Data: A Case Study of Chinese Maize Yield
Improving the accuracy and low-light performance of contrast-based autofocus using supervised machine learning
Improving the Accuracy of Flood Susceptibility Prediction by Combining machine Learning Models and the Expanded Flood Inventory Data
Improving the Accuracy of Landslide Detection in Off-site Area by machine Learning Model Portability Comparison: A Case Study of Jiuzhaigou Earthquake, China
Improving the dynamic behavior and working accuracy of the CNC laser cutting machines
Improving the Estimation of Gross Primary Productivity across Global Biomes by Modeling Light Use Efficiency through machine Learning
Improving the Estimation of Weighted Mean Temperature in China Using machine Learning Methods
Improving the Forecasting of Winter Wheat Yields in Northern China with machine Learning-Dynamical Hybrid Subseasonal-to-Seasonal Ensemble Prediction
Improving the Performance of Deep Learning Based Speech Enhancement System Using Fuzzy Restricted Boltzmann machine
Improving the Run-Time Performance of Multi-class Support Vector machines
Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking machine Learning Models and Rescanning Covariate Space
Improving the Spatial Resolution of GRACE-Derived Terrestrial Water Storage Changes in Small Areas Using the machine Learning Spatial Downscaling Method
Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with machine Learning
Improving Visual Feature Representations by Biasing Restricted Boltzmann machines with Gaussian Filters
Incident detection in signalized urban roads based on genetic algorithm and support vector machine
Incoming data prediction in smart home environment with HMM-based machine learning
Inconsistency-based active learning for support vector machines
Incorporate support vector machines to content-based image retrieval with relevance feedback
Incorporating conditional independence assumption with support vector machines to enhance handwritten character segmentation performance
Incorporating Invariances in Support Vector Learning machines
Incorporating Molecule's Stereisomerism within the machine Learning Framework
Incorporating Spatial Autocorrelation in machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features
Increased generalization capability of trainable COSFIRE filters with application to machine vision
Incremental granular relevance vector machine: A case study in multimodal biometrics
Incremental Import Vector machines for Classifying Hyperspectral Data
Incremental import vector machines for large area land cover classification
incremental learning algorithm for Lagrangian support vector machines, An
Incremental learning for transductive support vector machine
Incremental machine learning techniques for document layout understanding
Incremental relevance sample-feature machine: A fast marginal likelihood maximization approach for joint feature selection and classification
Incremental Support Vector machine for Self-updating Fingerprint Presentation Attack Detection Systems
Incremental Training of Multiclass Support Vector machines
Incremental training of support vector machines using hyperspheres
Incremental Vocabularies in machine Translation Through Aligned Embedding Projections
Indefinite Core Vector machine
Indefinite twin support vector machine with DC functions programming
Independent Component Analysis and Support Vector machine for Face Feature Extraction
Indoor Place Recognition using Online Independent Support Vector machines
Inducing Genuine Emotions in Simulated Speech-Based Human-machine Interaction: The NIMITEK Corpus
Inductive manifold learning using structured support vector machine
Industrial Applications of Robotics and machine Vision
Industrial machine Vision -- Is It Practical?
Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on machine Learning
Inertial Sensing Meets machine Learning: Opportunity or Challenge?
Inferior myocardial infarction detection using stationary wavelet transform and machine learning approach
Infinite Bayesian one-class support vector machine based on Dirichlet process mixture clustering
Information Capture and Semantic Indexing of Digital Libraries Through machine Learning Techniques
Information in Streetscapes: Research on Visual Perception Information Quantity of Street Space Based on Information Entropy and machine Learning
Information Model and Architecture Specification for Context Awareness Interaction Decision Support in Cyber-Physical Human-machine Systems
Information Systems Opportunities in Brain-machine Interface Decoders
information-theoretic approach to machine-oriented music summarization, An
Information-Theoretic Approach to Personalized Explainable machine Learning, An
Infrared gait recognition based on wavelet transform and support vector machine
Inner Space Preserving Generative Pose machine
innovative support vector machine based method for contextual image classification, An
Input-aware Neural Knowledge Tracing machine
Inspection and error analysis of Geneva gear on machine vision system using Sherlock™ and VB 6.0 Algorithm
Instance cloned extreme learning machine
Instructional, Training Videos, How To, Teach machine How
Integrated imaging and vision techniques for industrial inspection: A special issue on machine vision and applications
Integrated inference and learning of neural factors in structural support vector machines
Integrated machine Vision Cluster
integrated symbolic and neural network architecture for machine learning in the domain of nuclear engineering, An
Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using machine Learning Approaches
Integrating Active and Passive Remote Sensing Data for Mapping Soil Salinity Using machine Learning and Feature Selection Approaches in Arid Regions
Integrating GEOBIA, machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops
Integrating Geovisual Analytics with machine Learning for Human Mobility Pattern Discovery
Integrating Hierarchical Statistical Models and machine-Learning Algorithms for Ground-Truthing Drone Images of the Vegetation: Taxonomy, Abundance and Population Ecological Models
Integrating independent components and support vector machines for gender classification
Integrating machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Integrating machine learning with region-based active contour models in medical image segmentation
Integrating Multi-Source Remote Sensing to Assess Forest Aboveground Biomass in the Khingan Mountains of North-Eastern China Using machine-Learning Algorithms
Integrating Multiple Datasets and machine Learning Algorithms for Satellite-Based Bathymetry in Seaports
Integrating Photogrammetric Techniques with Scene Analysis and machine Vision
Integrating Photogrammetric Techniques with Scene Analysis and machine Vision II
Integrating Photogrammetric Techniques with Scene Analysis and machine Vision III
Integrating Recursive Bayesian Estimation with Support Vector machine to Map Probability of Flooding from Multispectral Landsat Data
Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using machine Learning Methods: A Case Study from Southern Xinjiang, China
Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a machine Learning Approach
Integrating Remote Sensing, machine Learning, and Citizen Science in Dutch Archaeological Prospection
Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using machine Learning: Multi-Scale Approach
Integrating SAR, Optical, and machine Learning for Enhanced Coastal Mangrove Monitoring in Guyana
Integrating Sentinel-1/2 Data and machine Learning to Map Cotton Fields in Northern Xinjiang, China
Integrating support vector machine and graph cuts for medical image segmentation
Integrating Vision Modules on a Fine-Grained Parallel machine
Integration of a structural features-based preclassifier and a man-machine interactive classifier for a fast multi-stroke character recognition
Integration of Local and Global Support Vector machines to Improve Urban Growth Modelling
Integration of machine Learning and Open Access Geospatial Data for Land Cover Mapping
Integration of machine Learning and Vision into an Active Agent Paradigm
Integration of Multi-Sensor Data to Estimate Plot-Level Stem Volume Using machine Learning Algorithms-Case Study of Evergreen Conifer Planted Forests in Japan
Integration of Multitemporal Sentinel-1 and Sentinel-2 Imagery For Land-cover Classification Using machine Learning Methods
Integration of Spectral Indices, Digital Elevation Data and Support Vector machines for Land Use Classification in Hilly Areas
Integration of ultrasound and mammogram for multimodal classification of breast cancer using hybrid residual neural network and machine learning
Intelligent control based on case-based reasoning for outlet tobacco moisture percentage of loosening resurgence machine
Intelligent machine Vision: Techniques, Implementations and Applications
Intelligent Photographing Guidance System Based on Compositional Deep Features and Intepretable machine Learning Model, An
Intelligent Positioning Approach for High Speed Trains Based on Ant Colony Optimization and machine Learning Algorithms
Intelligent Simulation Method of Bridge Traffic Flow Load Combining machine Vision and Weigh-in-Motion Monitoring
Intelligent WSN System for Water Quality Analysis Using machine Learning Algorithms: A Case Study (Tahuando River from Ecuador)
Intentions of Vulnerable Road Users: Detection and Forecasting by Means of machine Learning
Interactive Image Processing for machine Vision
Interactive Image Segmentation Using machine Learning Techniques
Interactive intelligent agents with creative minds: Experiments with mobile robots in cooperating tasks by using machine learning
Interactive machine Translation Framework for Modernizing the Language of Historical Documents, An
Interactive map conversion: combining machine vision and human input
Intercomparison of machine-Learning Methods for Estimating Surface Shortwave and Photosynthetically Active Radiation
Interesting Patterns for Model-Based machine Vision
Intermediate deep feature coding for human-machine vision collaboration
International Conference on Computer Vision and machine Intelligence
International Conference on machine Vision
International Conference on machine Vision and Information Technology
International Conference on Pattern Recognition and machine Intelligence
International Journal Man-machine Studies
International Journal of machine Learning and Computing
International machine Vision and Image Processing Conference
International Workshop on Industrial machine Learning
Interpolation Kernel machines: Reducing Multiclass to Binary
Interpolation of Instantaneous Air Temperature Using Geographical and MODIS Derived Variables with machine Learning Techniques
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging
interval type-2 fuzzy logic PSS with the optimal H-inf tracking control for multi-machine power system, An
Intra-cardiac Signatures of Atrial Arrhythmias Identified by machine Learning and Traditional Features
Intrinsic Characteristics as the Interface Between CAD and machine Vision Systems
Introducing ARTMO's machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape
Introduction to Restricted Boltzmann machines, An
Introduction to Support Vector machines, An
Introduction to the Special Issue on machine Learning for Traffic Sign Recognition
Introduction: machine Vision Research at Osaka University
Introduction: Vision as intelligent behavior: An introduction to machine vision at the University of Rochester
Intrusion Detection Method Based on machine Learning and State Observer for Train-Ground Communication Systems, An
Invariant Face Detection with Support Vector machines
Inversion of Different Cultivated Soil Types' Salinity Using Hyperspectral Data and machine Learning
Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using machine Learning
Inversion of Soil Salinity Using Multisource Remote Sensing Data and Particle Swarm machine Learning Models in Keriya Oasis, Northwestern China
Inverted Algorithm of Terrestrial Water-Storage Anomalies Based on machine Learning Combined with Load Model and Its Application in Southwest China
Investigating the Effect of Inter-letter Spacing Modulation on Data-driven Detection of Developmental Dyslexia Based on Eye-movement Correlates of Reading: A machine Learning Approach
Investigating the Prospect of Leveraging Blockchain and machine Learning to Secure Vehicular Networks: A Survey
IPCert: Provably Robust Intellectual Property Protection for machine Learning
IR Cameras Take Aim at machine-Vision Applications
Iris matching by means of machine Learning paradigms: A new approach to dissimilarity computation
Iris Recognition Based on Zigzag Collarette Region and Asymmetrical Support Vector machines
Iris recognition through machine learning techniques: A survey
Iris Recognition with Support Vector machines
IrrMapper: A machine Learning Approach for High Resolution Mapping of Irrigated Agriculture Across the Western U.S.
Is machine colour constancy good enough?
ISPRS Workshop Hyperspectral Sensing Meets machine Learning and Pattern Analysis
Iterative Support Vector machine for Hyperspectral Image Classification
Joint Deep Boltzmann machine (jDBM) Model for Person Identification Using Mobile Phone Data, A
Joint machine Learning and Game Theory for Rate Control in High Efficiency Video Coding
Joint Optimization of Radio and Virtual machine Resources With Uncertain User Demands in Mobile Cloud Computing
Journal of machine Learning Research
JPEG AI Standard: Providing Efficient Human and machine Visual Data Consumption, The
Just Noticeable Difference for Deep machine Vision
Just Noticeable Difference for machines to Generate Adversarial Images
Just Recognizable Distortion for machine Vision Oriented Image and Video Coding
Kernel machine Based Approach for Multi-View Face Recognition, A
Kernel machine Based Learning for Multi-View Face Detection and Pose Estimation
Kernel machine-based one-parameter regularized Fisher discriminant method for face recognition
Kernel modified optimal margin distribution machine for imbalanced data classification
Kernel principal angles for classification machines with applications to image sequence interpretation
Kernel Square-Loss Exemplar machines for Image Retrieval
kernel support vector machine-based feature selection approach for recognizing Flying Apsaras' streamers in the Dunhuang Grotto Murals, China, A
Kernelized support tensor train machines
Kernelized support vector machine with deep learning: An efficient approach for extreme multiclass dataset
Kinect Development Kit: A Toolkit for Gesture- and Speech-Based Human-machine Interaction
Kinship verification from facial images and videos: human versus machine
KMOD: a new support vector machine kernel with moderate decreasing for pattern recognition. Application to digit image recognition
Label-noise reduction with support vector machines
Labeling Connected Components on a Massively Parallel Tree machine
Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and machine Learning
Laboratory Research on Polarized Optical Properties of Saline-Alkaline Soil Based on Semi-Empirical Models and machine Learning Methods
Land Cover Classification From Full-waveform Lidar Data Based On Support Vector machines
Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and machine Learning: An Upscaling Approach
Land cover classification of polarimetric SAR images for the Yellow River Delta based on support vector machine
Land Cover Mapping Using Sentinel-1 Time-Series Data and machine-Learning Classifiers in Agricultural Sub-Saharan Landscape
Land Subsidence Monitoring and Building Risk Assessment Using InSAR and machine Learning in a Loess Plateau City: A Case Study of Lanzhou, China
Land Subsidence Prediction Induced by Multiple Factors Using machine Learning Method
Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble machine Learning Algorithm Based on Time-Series InSAR Data
Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid machine Learning Algorithms
Land Use and Land Cover Classification in the Northern Region of Mozambique Based on Landsat Time Series and machine Learning
Land Use and Land Cover Classification Using Hyperspectral Imagery: Evaluating The Performance of Spectral Angle Mapper, Support Vector machine and Random Forest
Land-Use Land-Cover Classification by machine Learning Classifiers for Satellite Observations: A Review
Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector machine and Index of Entropy Models in Cameron Highlands, Malaysia
Landslide Detection Using Multi-Scale Image Segmentation and Different machine Learning Models in the Higher Himalayas
Landslide Dynamic Susceptibility Mapping Base on machine Learning and the PS-InSAR Coupling Model
Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced machine Learning Methods
Landslide Susceptibility Assessment Based on Different machine Learning Methods in Zhaoping County of Eastern Guangxi
Landslide Susceptibility Assessment Model Construction Using Typical machine Learning for the Three Gorges Reservoir Area in China
Landslide Susceptibility Evaluation and Management Using Different machine Learning Methods in The Gallicash River Watershed, Iran
Landslide Susceptibility Mapping and Driving Mechanisms in a Vulnerable Region Based on Multiple machine Learning Models
Landslide Susceptibility Mapping in a Mountainous Area Using machine Learning Algorithms
Landslide Susceptibility Mapping Using machine Learning: A Danish Case Study
Landslide Susceptibility Mapping Using machine Learning: A Literature Survey
Landslide Susceptibility Mapping: machine and Ensemble Learning Based on Remote Sensing Big Data
Landslide Susceptibility Modeling: An Integrated Novel Method Based on machine Learning Feature Transformation
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised machine Learning Models
Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on machine-Learning Models
Landslides Identification Using Airborne Laser Scanning Data Derived Topographic Terrain Attributes And Support Vector machine Classification
Language identification of character images using machine learning techniques
Laplacian Lp norm least squares twin support vector machine
Laplacian minimax probability machine
Laplacian Support Vector machines with Multi-Kernel Learning
Large-Scale Crop Mapping Based on machine Learning and Parallel Computation with Grids
Large-scale image retrieval using transductive support vector machines
Large-Scale Multiclass Support Vector machine Training via Euclidean Projection onto the Simplex
Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning machine
Latency impact on Quality of Experience in a virtual reality simulator for remote control of machines
Latent Fingerprint Image Segmentation Using Fractal Dimension Features and Weighted Extreme Learning machine Ensemble
Latent support vector machine for sign language recognition with Kinect
Laughing machine: Predicting Humor in Video, The
Layer-Wise Relevance Propagation Based Sample Condensation for Kernel machines
Layout Analysis for Arabic Historical Document Images Using machine Learning
Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data Based on Different Feature Selection and machine Learning Methods
Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using machine Learning Methods
Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and machine Learning Techniques
Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector machine
Lean Crowdsourcing: Combining Humans and machines in an Online System
Learn to Unlearn: Insights Into machine Unlearning
Learning a Dictionary of Shape-Components in Visual Cortex: Comparison with Neurons, Humans and machines
Learning a Multi-Size Patch-Based Hybrid Kernel machine Ensemble for Abnormal Region Detection in Colonoscopic Images
Learning Algorithm for Boltzmann machines, A
Learning Algorithms for Audio and Video Processing: Independent Component Analysis and Support Vector machine Based Approaches
Learning algorithms for extended models of Boltzmann machines
Learning and vision machines
Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector machine to Detect Earthquake and Tsunami-Induced Changes
Learning circulant support vector machines for fast image search
Learning class-specific image transformations with higher-order Boltzmann machines
Learning classifiers from imbalanced data based on biased minimax probability machine
Learning Concept Embeddings with Combined Human-machine Expertise
Learning Diverse Models: The Coulomb Structured Support Vector machine
Learning ensemble classifiers via restricted Boltzmann machines
Learning Features for Tissue Classification with the Classification Restricted Boltzmann machine
Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann machines
Learning for stereo vision using the structured support vector machine
Learning Image Similarity from Flickr Groups Using Fast Kernel machines
Learning image similarity from Flickr groups using Stochastic Intersection Kernel machines
Learning in Region-Based Image Retrieval with Generalized Support Vector machines
Learning invariant color features with sparse topographic restricted Boltzmann machines
Learning message-passing inference machines for structured prediction
Learning mixture models with support vector machines for sequence classification and segmentation
Learning Relevance Restricted Boltzmann machine for Unstructured Group Activity and Event Understanding
Learning Sign-Constrained Support Vector machines
Learning state machine-based string edit kernels
Learning Support Vector machines for A Multi-View Face Model
Learning Texture Image Prior for Super Resolution Using Restricted Boltzmann machine
Learning the Link between Albedo and Reflectance: machine Learning-Based Prediction of Hyperspectral Bands from CTX Images
Learning to learn: From smart machines to intelligent machines
Learning to learn: From smart machines to intelligent machines
Learning to Learn: How to Continuously Teach Humans and machines
Learning to look up: Realtime monocular gaze correction using machine learning
Learning to schedule multi-NUMA virtual machines via reinforcement learning
Learning to segment using machine-learned penalized logistic models
Learning Topology: Bridging Computational Topology and machine Learning
Learning with progressive transductive support vector machine
least square kernel machine with box constraints, A
Least squares one-class support vector machine
Least squares twin bounded support vector machines based on L1-norm distance metric for classification
Least squares twin multi-class classification support vector machine
Left-Luggage Detection from Finite-State-machine Analysis in Static-Camera Videos
Lesion Detection in Breast Ultrasound Images Using a machine Learning Approach and Genetic Optimization
Leveraging machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level
Leveraging machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping
Lexicon-Based Word Recognition Using Support Vector machine and Hidden Markov Model
LIBSVM: a library for support vector machines
LIBSVMTL: a Support Vector machine Template Library
License plate detection and recognition in complex scenes using mathematical morphology and support vector machines
Lidar Signal Denoising Using Least-Squares Support Vector machine
Lifelong machine Learning with Deep Streaming Linear Discriminant Analysis
Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs
Lighting design for machine vision application
Lightning Distance Estimation Using LF Lightning Radio Signals via Analytical and machine-Learned Models
Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with machine Learning Algorithms
Linear programming support vector machines
Linear Spectral Mixture Models and Support Vector machines for Remote Sensing
Linear Subclass Support Vector machines
Linear Support Higher-Order Tensor machine for Classification, A
Linear Support Tensor machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images
Linear Time Algorithms for an Image Labelling machine
Linearized alternating direction method of multipliers for elastic-net support vector machines
Lip-Reading Technique Using Spatio-Temporal Templates and Support Vector machines
Listening with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann machines
Lithium-Bearing Pegmatite Identification, Based on Spectral Analysis and machine Learning: A Case Study of the Dahongliutan Area, NW China
Local Binary Patterns and Extreme Learning machine for Hyperspectral Imagery Classification
Local Block Multilayer Sparse Extreme Learning machine for Effective Feature Extraction and Classification of Hyperspectral Images
Local Discriminant Regions Using Support Vector machines for Object Recognition
Local-spectrum-based distinction between handwritten and machine-printed characters
Local-to-Global Support Vector machines (LGSVMs)
locality correlation preserving support vector machine, A
Locality-sensitive support vector machine by exploring local correlation and global regularization
localization/verification scheme for finding text in images and video frames based on contrast independent features and machine learning methods, A
Localized Deep Extreme Learning machines for Efficient RGB-D Object Recognition
Localized support vector machines using Parzen window for incomplete sets of categories
Location-specific vs Location-Agnostic machine Learning Metamodels for Predicting Pasture Nitrogen Response Rate
Log-Linear Weight Optimization Using Discriminative Ridge Regression Method in Statistical machine Translation
Long-Term Hindcasts of Wheat Yield in Fields Using Remotely Sensed Phenology, Climate Data and machine Learning
Long-Term Spatiotemporal Variability of Whitings in Lake Geneva from Multispectral Remote Sensing and machine Learning
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann machines
Looking at machine Vision
Low false positive learning with support vector machines
Low-Complexity Multi-Type Tree Partitioning for Versatile Video Coding Based on machine Learning
Low-Rank Approximation-Based Transductive Support Tensor machine for Semisupervised Classification, A
LSTM Pose machines
Lung nodule classification utilizing support vector machines
M-estimator based robust kernels for support vector machines
machine analysis of acoustical signals
machine Analysis of Multi-Body Scenes
machine and Deep Learning Regression of Chlorophyll-a Concentrations in Lakes Using PRISMA Satellite Hyperspectral Imagery
machine and human recognition of segmented characters from handwritten words
machine Authentication of Security Documents
machine Dating of Handwritten Manuscripts
machine Detection of Martian Impact Craters From Digital Topography Data
machine dynamic selection of one video camera/image of a scene from multiple video cameras
machine ethics: the design and governance of ethical ai and autonomous systems
machine fusion to enhance the topology preservation of vector quantization artificial neural networks
machine Graphics and Vision Journal
machine identification of buds in images of plant shoots
machine Identification of Human Faces
machine Intelligence
machine Intelligence Approach to Virtual Ballet Training, A
machine Interpretation of CAD Data for Manufacturing Applications
machine Interpretation of Line Drawings
machine Interpretation of Patterns: Image Analysis and Data Mining
machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT
machine Learning
machine Learning (ML)-Based Copper Mineralization Prospectivity Mapping (MPM) Using Mining Geochemistry Method and Remote Sensing Satellite Data
machine Learning Accelerated Partition Search for Video Encoding
machine Learning Algorithm for Himawari-8 Total Suspended Solids Retrievals in the Great Barrier Reef, A
machine Learning Algorithm to Detect and Analyze Meteor Echoes Observed by the Jicamarca Radar, A
machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco
machine Learning Algorithms for Chromophoric Dissolved Organic Matter (CDOM) Estimation Based on Landsat 8 Images
machine Learning Algorithms for Modeling and Mapping of Groundwater Pollution Risk: A Study to Reach Water Security and Sustainable Development (Sdg) Goals in a Mediterranean Aquifer System
machine Learning Algorithms to Predict Forage Nutritive Value of In Situ Perennial Ryegrass Plants Using Hyperspectral Canopy Reflectance Data
machine Learning Algorithms to Predict Tree-Related Microhabitats using Airborne Laser Scanning
machine Learning and Computing for Visual Semantic Analysis
machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review
machine Learning and Deep Learning for the Built Heritage Analysis: Laser Scanning and UAV-Based Surveying Applications on a Complex Spatial Grid Structure
machine Learning and Geo-Based Multi-Criteria Decision Support Systems in Analysis of Complex Problems
machine Learning and Geometric Technique for SLAM
machine Learning and Hyperparameters Algorithms for Identifying Groundwater Aflaj Potential Mapping in Semi-Arid Ecosystems Using LiDAR, Sentinel-2, GIS Data, and Analysis
machine Learning and Image Interpretation
machine Learning and IOT for Smart Grid
machine Learning and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction
machine learning and multiscale methods in the identification of bivalve larvae
machine learning and pattern recognition models in change detection
machine Learning and Statistical Modeling Approaches to Image Retrieval
machine Learning and the End of Atmospheric Corrections: A Comparison between High-Resolution Sea Surface Salinity in Coastal Areas from Top and Bottom of Atmosphere Sentinel-2 Imagery
machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management
machine learning and whale optimization algorithm based design of energy management strategy for plug-in hybrid electric vehicle
machine Learning Applied to a Dual-Polarized Sentinel-1 Image for Wind Retrieval of Tropical Cyclones
machine Learning Approach for Acquiring Descriptive Classification Rules of Shape Contours, A
machine learning approach for brain image enhancement and segmentation, A
machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging, A
machine Learning Approach for Classifying Road Accident Hotspots, A
machine Learning Approach for Contactless Photoplethysmographic Measurement Verification
machine Learning Approach for Detecting Rescue Requests from Social Media, A
machine Learning Approach for Displaying Query Results in Search Engines, A
machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances, A
machine Learning Approach for Estimating the Trophic State of Urban Waters Based on Remote Sensing and Environmental Factors, A
machine learning approach for homolog chromosome classification
machine learning approach for human posture detection in domotics applications, A
machine Learning Approach for Identification of miRNA-mRNA Regulatory Modules in Ovarian Cancer
machine learning approach for identifying and delineating agricultural fields and their multi-temporal dynamics using three decades of Landsat data, A
machine learning approach for image retrieval tasks, A
machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture, A
machine Learning Approach for Locating Boundaries of Liver Tumors in CT Images, A
machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery, A
machine learning approach for material detection in hyperspectral images, A
machine Learning Approach for Non-blind Image Deconvolution, A
machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources, A
machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI, A
machine Learning Approach for the Online Separation of Handwriting from Freehand Drawing, A
machine Learning Approach to Accurate Sequence-Level Rate Control Scheme for Video Coding, A
machine Learning Approach to Approximate the Age of a Digital Image, A
machine Learning Approach to Building Recognition in Aerial Photographs, A
machine Learning Approach to Chlorophyll a Time Series Analysis in the Mediterranean Sea, A
machine Learning Approach to Crater Classification from Topographic Data, A
machine Learning Approach to Delineating Neighborhoods from Geocoded Appraisal Data, A
machine Learning Approach to Derive Aerosol Properties from All-Sky Camera Imagery, A
machine Learning Approach to Design of Aperiodic, Clustered-Dot Halftone Screens via Direct Binary Search, A
machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery, A
machine Learning approach to dissimilarity computation: Iris matching
machine Learning Approach to Estimate Surface Chlorophyll a Concentrations in Global Oceans From Satellite Measurements, A
machine Learning Approach to Extract Rock Mass Discontinuity Orientation and Spacing, from Laser Scanner Point Clouds, A
machine Learning Approach to Horizon Line Detection Using Local Features, A
machine Learning Approach to Hypothesis Decoding in Scene Text Recognition, A
machine Learning Approach to Retrieving Aerosol Optical Depth Using Solar Radiation Measurements, A
machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences, A
machine Learning Approach to Waterbody Segmentation in Thermal Infrared Imagery in Support of Tactical Wildfire Mapping, A
machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data
machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease
machine Learning Approaches to Automatically Detect Glacier Snow Lines on Multi-Spectral Satellite Images
machine Learning Approaches to Bike-Sharing Systems: A Systematic Literature Review
machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval
machine learning based adaptive watermark decoding in view of anticipated attack
machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation
machine learning based blind color image watermarking scheme for copyright protection
machine Learning Based Channel Estimation for 5G NR-V2V Communications: Sparse Bayesian Learning and Gaussian Progress Regression
machine Learning Based Downscaling Approach to Produce High Spatio-Temporal Resolution Land Surface Temperature of the Antarctic Dry Valleys from MODIS Data, A
machine Learning Based Efficient Qt-Mtt Partitioning for VVC Inter Coding
machine Learning Based Efficient QT-MTT Partitioning Scheme for VVC Intra Encoders
machine learning based fast H.264/AVC to HEVC transcoding exploiting block partition similarity
machine learning based feature selection and knowledge reasoning for CBR system under big data
machine Learning Based Framework for Human Recognition Using Gait Pattern Analysis
machine Learning Based Method for Staff Removal, A
machine Learning Based Methods for Arabic Duplicate Question Detection
machine learning based modeling of spatial and temporal factors for video quality assessment
machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI-RADS 4 lesions
machine Learning Based on Minimizing Robust Mean Estimates
machine Learning Based On-Line Prediction of Soil Organic Carbon after Removal of Soil Moisture Effect
machine Learning Based Reconstruction Method for Satellite Remote Sensing of Soil Moisture Images with In Situ Observations, A
machine Learning Based Road Detection from High Resolution Imagery
machine learning based scheme for double JPEG compression detection, A
machine Learning Based Symbol Probability Distribution Prediction For Entropy Coding In AV1
machine learning based video segmentation of moving scene by motion index using IO detector and shot segmentation
machine Learning Classification and Accuracy Assessment from High-Resolution Images of Coastal Wetlands
machine learning classification approach based glioma brain tumor detection, A
machine Learning Classification Ensemble of Multitemporal Sentinel-2 Images: The Case of a Mixed Mediterranean Ecosystem
machine Learning Classification of Buildings for Map Generalization
machine Learning Classification of Endangered Tree Species in a Tropical Submontane Forest Using WorldView-2 Multispectral Satellite Imagery and Imbalanced Dataset
machine Learning Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes
machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation
machine Learning Classification of Rainfall Types Based on the Differential Attenuation of Multiple Frequency Microwave Links
machine Learning Classifier Evaluation for Different Input Combinations: A Case Study with Landsat 9 and Sentinel-2 Data
machine Learning Comparison and Parameter Setting Methods for the Detection of Dump Sites for Construction and Demolition Waste Using the Google Earth Engine
machine Learning Comparison between WorldView-2 and QuickBird-2-Simulated Imagery Regarding Object-Based Urban Land Cover Classification
machine Learning Dataset for Large-scope High Resolution Remote Sensing Image Interpretation Considering Landscape Spatial Heterogeneity, A
machine Learning Detects a Biopsy Needle in Ultrasound Images
machine Learning Downscaling of SoilMERGE in the United States Southern Great Plains
machine Learning Estimation of Fire Arrival Time from Level-2 Active Fires Satellite Data
machine Learning for Approximating Unknown Face
machine Learning for Arctic Sea Ice Physical Properties Estimation Using Dual-Polarimetric SAR Data
machine learning for astronomical big data processing
machine learning for big visual analysis
machine Learning for Climate Precipitation Prediction Modeling over South America
machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
machine Learning for Cloud Detection of Globally Distributed Sentinel-2 Images
machine Learning for Cultural Heritage: A Survey
machine learning for cyanobacteria mapping on tropical urban reservoirs using PRISMA hyperspectral data
machine Learning for Defining the Probability of Sentinel-1 Based Deformation Trend Changes Occurrence
machine Learning for Detection and Risk Assessment of Lifting Action
machine Learning for Fault Detection in DC Motors and the Role of Mounting Configurations
machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach
machine learning for hand gesture recognition using bag-of-words
machine Learning for High-Speed Corner Detection
machine learning for low signal-to-noise ratio detection
machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin-Tungsten Deposits: Simulation under Indoor Conditions
machine Learning for Multimedia Content Analysis
machine Learning for Photometric Redshift Estimation of Quasars with Different Samples
machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification
machine Learning for Real Time Poses Classification Using Kinect Skeleton Data
machine Learning for Sea Ice Monitoring From Satellites
machine Learning for Severity Classification of Accidents Involving Powered Two Wheelers
machine Learning for Signature Verification
machine Learning for Storage Location Prediction in Industrial High Bay Warehouses
machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance
machine Learning for the Fast and Accurate Assessment of Fitness in Coral Early Life History
machine Learning for the New York City Power Grid
machine Learning for Tree Species Classification using Sentinel-2 Spectral Information, Crown Texture, and Environmental Variables
machine Learning for Video Compression: Macroblock Mode Decision
machine Learning for Vision-based Motion Analysis
machine Learning for Vision-Based Motion Analysis: Theory and Techniques
machine Learning for Volcano-Seismic Signals: Challenges and Perspectives
machine Learning Framework for Adaptive Combination of Signal Denoising Methods, A
machine Learning Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements, A
machine learning framework for full-reference 3D shape quality assessment, A
machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data, A
machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data
machine learning framework incorporating expert knowledge in tissue image annotation
machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements, A
machine Learning Framework Using SOMs: Applications in the Intestinal Motility Assessment, A
machine Learning Fusion Multi-Source Data Features for Classification Prediction of Lunar Surface Geological Units
machine Learning Generalisation across Different 3D Architectural Heritage
machine Learning in a Post Moore's Law World: Quantum vs. Neuromorphic Substrates
machine Learning in Big Lidar Data: a Review
machine Learning in Cardiac Health Monitoring and Decision Support
machine Learning in Computer-Aided Diagnosis of the Thorax and Colon in CT: A Survey
machine Learning in Evaluating Multispectral Active Canopy Sensor for Prediction of Corn Leaf Nitrogen Concentration and Yield
machine Learning in Extreme Value Analysis, an Approach to Detecting Harmful Algal Blooms with Long-Term Multisource Satellite Data
machine Learning in Medical Imaging
machine Learning in Medical Imaging
machine learning in medical imaging
machine learning in medical imaging
machine learning in motion analysis: New advances
machine Learning in Multi-frame Image Super-resolution
machine Learning in PET: From Photon Detection to Quantitative Image Reconstruction
machine learning in precision medicine to preserve privacy via encryption
machine Learning in the Analysis of Multispectral Reads in Maize Canopies Responding to Increased Temperatures and Water Deficit
machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV-Multispectral Sensor
machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus
machine Learning in Urban Rail Transit Systems: A Survey
machine Learning Inspired Approach for Detection, Recognition and Tracking of Moving Objects from Real-Time Video, A
machine learning meets distinctness in variety testing
machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans, A
machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data, A
machine Learning Method for High-Frequency Data Forecasting, A
machine Learning Method for Predicting Vegetation Indices in China, A
machine Learning Methods Applied to the Prediction of Pseudo-nitzschia spp. Blooms in the Galician Rias Baixas (NW Spain)
machine learning methods for automatically processing historical documents: from paper acquisition to XML transformation
machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images
machine Learning Methods for Classification of the Green Infrastructure in City Areas
machine Learning Methods for Data Association in Multi-Object Tracking
machine learning methods for research highlight prediction in biomedical effects of nanomaterial application
machine Learning Methods to Approximate Rainfall and Wind From Acoustic Underwater Measurements (February 2020)
machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia, A
machine Learning Model-Based Retrieval of Temperature and Relative Humidity Profiles Measured by Microwave Radiometer
machine Learning Models for Approximating Downward Short-Wave Radiation Flux over the Ocean from All-Sky Optical Imagery Based on DASIO Dataset
machine learning nuclear detonation features
machine Learning of Computer Vision Algorithms
machine learning of event segmentation for news on demand
machine Learning of Generalized Document Templates for Data Extraction
machine Learning of Spatial Data
machine Learning of Usable Area of Gable-Roof Residential Buildings Based on Topographic Data
machine Learning on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification Methods
machine Learning on Historic Air Photographs for Mapping Risk of Unexploded Bombs
machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status
machine Learning Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds?, A
machine Learning Paradigms for Pattern Recognition and Image Understanding
machine Learning Regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery
machine Learning Research: Four Current Directions
machine Learning Reveals a Significant Shift in Water Regime Types Due to Projected Climate Change
machine Learning Snowfall Retrieval Algorithm for ATMS, A
machine Learning Solution for Video Delivery to Mitigate Co-Tier Interference in 5G HetNets, A
machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments, A
machine learning system for human-in-the-loop video surveillance, A
machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations, A
machine learning technique for object detection based on SURF feature
machine learning techniques applied to prepaid subscribers: Case study on the telecom industry of Morocco
machine Learning Techniques for Corneal Diseases Diagnosis: A Survey
machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data
machine Learning Techniques for Identifying Fetal Risk During Pregnancy
machine Learning Techniques for Identity Document Verification in Uncontrolled Environments: A Case Study
machine Learning Techniques for Knowledge Extraction From Satellite Images: Application to Specific Area Types
machine Learning Techniques for Modelling Short Term Land-Use Change
machine learning techniques for ontology-based leaf classification
machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data
machine learning techniques for regional scale estimation of high-resolution cloud-free daily sea surface temperatures from MODIS data
machine Learning Techniques for Tree Species Classification Using Co-Registered LiDAR and Hyperspectral Data
machine Learning Techniques for Vertical LiDAR-Based Detection, Characterization, and Classification of Aerosols and Clouds: A Comprehensive Survey
machine Learning Techniques to Predict Soybean Plant Density Using UAV and Satellite-Based Remote Sensing
machine learning to design full-reference image quality assessment algorithm
machine Learning to Estimate Surface Roughness from Satellite Images
machine Learning to Identify Three Types of Oceanic Fronts Associated with the Changjiang Diluted Water in the East China Sea between 1997 and 2021
machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study
machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency
machine Learning with Data Science-Enabled Lung Cancer Diagnosis and Classification Using Computed Tomography Images
machine Learning with Seriated Graphs
machine Learning with Synthetic Data: A New Way to Learn and Classify the Pictorial Augmented Reality Markers in Real-Time
machine Learning, Machine Vision, and the Brain
machine Learning, Machine Vision, and the Brain
machine Learning-Aided Sea Ice Monitoring Using Feature Sequences Extracted from Spaceborne GNSS-Reflectometry Data
machine Learning-Assisted Analysis of Polarimetric Scattering From Cylindrical Components of Vegetation
machine learning-assisted region merging for remote sensing image segmentation
machine Learning-Based and 3D Kinematic Models for Rockfall Hazard Assessment Using LiDAR Data and GIS
machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features
machine Learning-Based Approach for Spatial Estimation Using the Spatial Features of Coordinate Information, A
machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine, A
machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe
machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images
machine Learning-Based Bias Correction of Precipitation Measurements at High Altitude
machine Learning-based Classification of Powdery Mildew Severity on Melon Leaves
machine Learning-Based Classification System for Urban Built-Up Areas Using Multiple Classifiers and Data Sources, A
machine Learning-Based Concrete Crack Depth Prediction Using Thermal Images Taken under Daylight Conditions
machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS
machine Learning-Based Estimation of Daily Cropland Evapotranspiration in Diverse Climate Zones
machine Learning-Based Estimation of Hourly GNSS Precipitable Water Vapour
machine Learning-Based Estimation of Tropical Cyclone Intensity from Advanced Technology Microwave Sounder Using a U-Net Algorithm
machine Learning-Based Fast Angular Prediction Mode Decision Technique in Video Coding
machine Learning-Based Fast Intra Mode Decision for HEVC Screen Content Coding via Decision Trees
machine Learning-Based Fast-Forward Solver for Ground Penetrating Radar With Application to Full-Waveform Inversion, A
machine learning-based H.264/AVC to HEVC transcoding via motion information reuse and coding mode similarity analysis
machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations
machine learning-based method for automatic diagnosis of ankle fracture using X-ray images, A
machine Learning-Based Method for Modeling TEC Regional Temporal-Spatial Map, A
machine Learning-Based Modeling of Air Temperature in the Complex Environment of Yerevan City, Armenia
machine learning-based multi-channel evaluation pooling strategy for image quality assessment
machine Learning-Based Multiple Cloud Vertical Structure Parameter Prediction Algorithm Only Using OCO-2 Oxygen A-Band Measurements, A
machine Learning-Based Noninvasive Quantification of Single-Imaging Session Dual-Tracer 18F-FDG and 68Ga-DOTATATE Dynamic PET-CT in Oncology
machine learning-based offline signature verification systems: A systematic review
machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets
machine Learning-Based Rockfalls Detection with 3D Point Clouds, Example in the Montserrat Massif (Spain)
machine Learning-Based Seafloor Seismic Prestack Inversion
machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia
machine Learning-Based Supervised Classification of Point Clouds Using Multiscale Geometric Features
machine learning-based tri-stage classification of Alzheimer's progressive neurodegenerative disease using PCA and mRMR administered textural, orientational, and spatial features
machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
machine Learning-Based Workload Orchestrator for Vehicular Edge Computing
machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer, A
machine Learning-Enabled High-Resolution Dynamic Deuterium MR Spectroscopic Imaging
machine listening techniques as a complement to video image analysis in forensics
machine method for compensating for non-linear picture transformations, e.g. zoom and pan, in a video image motion compensation system
machine olfaction: pattern recognition for the identification of aromas
machine Perception
machine Perception for Industrial Applications
machine Perception of 3-D Solids
machine Perception of Linear Structure
machine Perception of Partially Obscured Planar Shapes
machine Printed Arabic Character Recognition Using S-GCM
machine printed character segmentation: An overview
machine Printed Chinese and Japanese Character Recognition Method and Experiments for Reading Japanese Pocket Books
machine printed text and handwriting identification in noisy document images
machine Processing of Line Drawings
machine reading of camera-held low quality text images: An ICA-based image enhancement approach for improving OCR accuracy
machine reading of handwritten text information in field technician's maps
machine recognition and correction of printed Arabic text
machine Recognition and Plotting of Hand-Sketched Line Figures
machine Recognition as Representation and Search
machine Recognition as representation and search: A Survey
machine recognition of handwritten Arabic word by the IRAC II system
machine Recognition of Brahmi Script
machine Recognition of Constrained Hand Printed Devanagari
machine recognition of cursive Arabic words
machine Recognition of Cursive Writing
machine Recognition of Hand Printing
machine Recognition of Handwritten Words: A Project Report
machine Recognition of Human Activities: A Survey
machine Recognition of Indian Language Characters Using a Tree Structure Based on Primitives
machine Recognition of Map Point Symbols Based on YOLOv3 and Automatic Configuration Associated with POI
machine Recognition of Multi Font Printed Arabic Texts
machine recognition of online handwritten Devanagari characters
machine Recognition of Optically Captured Machine Printed Arabic Text
machine Recognition of Optically Captured Machine Printed Arabic Text
machine Recognition of Partial Shapes Using Feature Vectors
machine Recognition of Printed Chinese Characters via Transformation Algorithms
machine Recognition of Printed Kannada Text
machine Recognition of the Cantonese Digits Using Bandpass Filters
machine sensing for mining optimization
machine Solving on Hypergeometric Distribution Problems
machine synthesis of a virtual video camera/image of a scene from multiple video cameras/images
machine Teaching Framework for Scalable Recognition, A
machine tool condition monitoring using workpiece surface texture analysis
machine training and parameter settings with social emotional optimization algorithm for support vector machine
machine training and parameter settings with social emotional optimization algorithm for support vector machine
machine Translation Techniques using AI: A Review
machine Understanding of CSG: Extraction and Unification of Manufacturing Features
machine Understanding of Human Action
machine Vision
machine vision
machine Vision Algorithms and Applications
machine Vision Algorithms for Automated Inspection of Thin-Film Disk Heads
machine vision algorithms for robust animal species identification
machine Vision Algorithms in Java: Techniques and Implementation
machine Vision Algorithms, Architectures, and Systems
machine Vision and Application Organization
machine Vision and Applications
machine Vision and Digital Image Processing Fundamentals
machine Vision Application for Industrial Assembly Inspection, A
machine Vision Applications in Character Recognition and Industrial Inspection
machine Vision Applications in Industrial Inspection
machine Vision Applications in Industrial Inspection
machine Vision Applications in Industrial Inspection II
machine Vision Applications in Industrial Inspection V
machine Vision Applications in Industrial Inspection VI
machine Vision Applications in Industrial Inspection VII
machine Vision Applications, Architectures, and Systems Integration II
machine Vision Applications, Architectures, and Systems Integration III
machine Vision Applications, Architectures, and Systems Integration IV
machine Vision Applications, Architectures, and Systems Integration V
machine Vision Applications, Architectures, and Systems Integration VI
machine Vision Applied to Vehicle Guidance
machine vision applied to vehicle guidance and safety
machine vision approach to the grading of crushed aggregate, A
machine Vision as State-Space Search
machine Vision Based Quality Monitoring in Olive Oil Conditioning
machine Vision Beyond Visible Spectrum
machine vision detection of isolated and overlapped nematode worms using skeleton analysis
machine vision extension to the Ruby programming language using OpenCV and FFI, A
machine Vision for Advanced Production: Part 1
machine Vision for Error-Detection and Avoidance in Laboratory Robotics
machine Vision for Excess Gluing Inspection in Spindle Motor Assembly
machine Vision for Industry: Tasks, Tools, and Techniques
machine Vision for Inspection and Measurement
machine Vision for Inspection of Keyboards
machine Vision for Intelligent Vehicles
machine vision for medical image analysis and virtual surgery
machine Vision for Three-Dimensional Scenes
machine Vision Framework for Automated Localization of Microinjection Sites on Low-Contrast Single Adherent Cells, A
machine Vision Gets Moving: Part I
machine Vision Gets Moving: Part II
machine Vision Gets Moving: Part III
machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
machine Vision Handbook
machine Vision in Early Days: Japan's Pioneering Contributions
machine Vision in the 1990s: Applications and How to Get There
machine Vision Inspection of VF Display Boards
machine Vision Inspection of Web Textile Fabric
machine Vision Mensuration
machine vision method using search models to find features in three-dimensional images
machine vision methods and system for boundary point-based comparison of patterns and images
machine vision methods and systems for boundary feature comparison of patterns and images
machine Vision Moves into Traffic: Part I
machine Vision Moves into Traffic: Part II
machine Vision Moves into Traffic: Part III
machine Vision of Animals and their Behaviour Workshop
machine Vision Portal
machine vision quality assessment for robust face detection
machine Vision Quality Control System for Industrial Acrylic Fibre Production, A
machine Vision Research at CVAP: An Introduction
machine vision scheme for stain-release evaluation using Gabor filters with optimized coefficients
machine vision stereo matching
machine vision system for automated spectroscopy
machine vision system for curved surface inspection
machine vision system for defect characterization on transparent parts with non-plane surfaces, A
machine Vision System for Enhancing the Teleoperation of an Industrial Robot, A
machine Vision System for Flatness Control Feedback
machine Vision System for Inspecting Bearings, A
machine Vision System for Lane-Departure Detection, A
machine vision system for object feature analysis and validation based on multiple object images
machine vision system for quantifying velocity fields in complex rock models, A
machine Vision System for Stacked Substrates Counting With a Robust Stripe Detection Algorithm, A
machine Vision System for the Automated Classification and Counting of Neurons in 3-D Brain Tissue Samples, A
machine vision system to estimate cotton fiber maturity from longitudinal view using a transfer learning approach, A
machine Vision System Using a Laser Radar Applied to Robotic Fruit Harvesting, A
machine Vision Systems for Inspection and Metrology VII
machine Vision Systems for Inspection and Metrology VIII
machine Vision Systems Integration in Industry
machine Vision Systems: Integration and Applications
machine Vision Techniques for Finding Sugarcane Seedeyes
machine vision techniques for motorcycle safety helmet detection
machine Vision Technology for the Forest Products Industry
machine vision three dimensional profiling system
machine Vision to Alert Roadside Personnel of Night Traffic Threats
machine vision to curb pig pugnacity: 3D cameras can help predict when pigs are about to nip each other's tails
machine Vision Tools for CAGD
machine Vision-Based Gestural Interface for People With Upper Extremity Physical Impairments, A
machine Vision/GPS Integration Using EKF for the UAV Aerial Refueling Problem
machine Vision: Automated Visual Inspection and Robot Vision
machine Vision: Theory, Algorithms, Practicalities
machine Vision: Theory, Algorithms, Practicalities, Second Edition
machine Vision: Theory, Algorithms, Practicalities, Third Edition
machine Visualization of Three-Dimensional Objects via Skeletal Transformations
machine vs humans in a cursive script reading experiment without linguistic knowledge
machine-Assisted Annotation of Forensic Imagery
machine-assisted authentication of paper currency: An experiment on Indian banknotes
machine-Assisted Human Classification of Segmented Characters for OCR Testing and Training
machine-Attention-based Video Coding for Machines
machine-Attention-based Video Coding for Machines
machine-based Intelligent Face Recognition
machine-Independent Image Processing: Performance of Apply on Diverse Architectures
machine-learned 3D Building Vectorization from Satellite Imagery
machine-learned Regularization and Polygonization of Building Segmentation Masks
machine-Learning Applications for the Retrieval of Forest Biomass from Airborne P-Band SAR Data
machine-learning approach for analyzing document layout structures with two reading orders, A
machine-learning approach for classifying defects on tree trunks using terrestrial LiDAR, A
machine-Learning Approach to Intertidal Mudflat Mapping Combining Multispectral Reflectance and Geomorphology from UAV-Based Monitoring, A
machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes, A
machine-Learning Based Secondary Transform for Improved Image Compression in JPEG2000
machine-Learning Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures: Part 1: Training and Testing Cross Validation
machine-Learning for Mapping and Monitoring Shallow Coral Reef Habitats
machine-Learning Functional Zonation Approach for Characterizing Terrestrial-Aquatic Interfaces: Application to Lake Erie
machine-learning methodology for energy efficient routing
machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat, A
machine-learning regression in evolutionary algorithms and image registration
machine-Learning-Assisted Characterization of Regional Heat Islands with a Spatial Extent Larger than the Urban Size
machine-Learning-Based Change Detection of Newly Constructed Areas from GF-2 Imagery in Nanjing, China
machine-Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke Opisthorchis viverrini (OV) Infection in Small Sub-Watersheds
machine-Learning-Based Framework for Coding Digital Receiving Array with Few RF Channels
machine-Learning-Based Framework for Retrieving Water Quality Parameters in Urban Rivers Using UAV Hyperspectral Images, A
machine-Learning-Based Image Categorization
machine-learning-based Quality-level-estimation System for Inspecting Steel Microstructures
machine-Learning-Based Scenario Identification Using Channel Characteristics in Intelligent Vehicular Communications
machine-Learning-Based Study on All-Day Cloud Classification Using Himawari-8 Infrared Data, A
machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction
machine-printed and hand-written text lines identification
machine-Printed Character Recognition Revisited: Re-Application of Recent Advances in Handwritten Character Recognition Research
machine-Printed Japanese Document Recognition
machine-readable region identification from partially blurred document images
machine-to-Machine Visual Dialoguing with ChatGPT for Enriched Textual Image Description
machine-to-Machine Visual Dialoguing with ChatGPT for Enriched Textual Image Description
machine-Translation Method for Normalization of SMS, A
machine-Vision Applications of Image Invariants: Real-Time Processing Experiments
machine-Vision Software Enters the Third Dimension
machine-vision system for automated quality control of welded rings, A
machine-Vision System for Iris Recognition, A
machine-vision system to measure the parameters describing the performance of a Foucault pendulum, A
machine-Vision Systems for Intelligent Transportation Systems
machines Learning for Mixed Reality
machines Should Not See as People Do, but Must Know How People See
Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine
Maize Yield Prediction with machine Learning, Spectral Variables and Irrigation Management
Majority voting-based hybrid feature selection in machine learning paradigm for epilepsy detection using EEG
Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool
Making scanned Arabic documents machine accessible using an ensemble of SVM classifiers
Malware Detection on Mobile Devices Using Distributed machine Learning
Man-machine Communication System Based on the Visual Analysis of Dynamic Gestures, A
Man-machine Facial Recognition
Man-machine Facial Recognition System: Some Preliminary Results, A
Man-machine Interaction in Human Face Identification
Mandarin dictation machine based upon a hierarchical recognition approach and Chinese natural language analysis, A
Mapping 30 m Fractional Forest Cover over China's Three-North Region from Landsat-8 Data Using Ensemble machine Learning Methods
Mapping Agricultural Intensification in the Brazilian Savanna: A machine Learning Approach Using Harmonized Data from Landsat Sentinel-2
Mapping Allochemical Limestone Formations in Hazara, Pakistan Using Google Cloud Architecture: Application of machine-Learning Algorithms on Multispectral Data
Mapping and Monitoring Fractional Woody Vegetation Cover in the Arid Savannas of Namibia Using LiDAR Training Data, machine Learning, and ALOS PALSAR Data
Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by machine Learning Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Networ
Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by machine Learning Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Networ
Mapping and Monitoring of the Invasive Species Dichrostachys cinerea (Marabu) in Central Cuba Using Landsat Imagery and machine Learning (1994-2022)
Mapping and Predicting Land Cover Changes of Small and Medium Size Cities in Alabama Using machine Learning Techniques
Mapping and Quantifying the Human-Environment Interactions in Middle Egypt Using machine Learning and Satellite Data Fusion Techniques
Mapping Asbestos-Cement Corrugated Roofing Tiles with Imagery Cube via machine Learning in Taiwan
Mapping Barley Lodging with UAS Multispectral Imagery and machine Learning
Mapping Burn Extent of Large Wildland Fires from Satellite Imagery Using machine Learning Trained from Localized Hyperspatial Imagery
Mapping Burned Areas in Tropical Forests Using a Novel machine Learning Framework
Mapping Canopy Heights in Dense Tropical Forests Using Low-Cost UAV-Derived Photogrammetric Point Clouds and machine Learning Approaches
Mapping Crop Types Using Sentinel-2 Data machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France
Mapping Cropland Extent in Pakistan Using machine Learning Algorithms on Google Earth Engine Cloud Computing Framework
Mapping Floristic Patterns of Trees in Peruvian Amazonia Using Remote Sensing and machine Learning
Mapping Forest Burn Extent from Hyperspatial Imagery Using machine Learning
Mapping Grasslands in Mixed Grassland Ecoregion of Saskatchewan Using Big Remote Sensing Data and machine Learning
Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and machine Learning Classifiers
Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional machine Learning Models
Mapping Maize Cropland and Land Cover in Semi-Arid Region in Northern Nigeria Using machine Learning and Google Earth Engine
Mapping Mineral Prospectivity Using a Hybrid Genetic Algorithm-Support Vector machine (GA-SVM) Model
Mapping Multi-Depth Soil Salinity Using Remote Sensing-Enabled machine Learning in the Yellow River Delta, China
Mapping of the Canopy Openings in Mixed Beech-Fir Forest at Sentinel-2 Subpixel Level Using UAV and machine Learning Approach
Mapping Opuntia stricta in the Arid and Semi-Arid Environment of Kenya Using Sentinel-2 Imagery and Ensemble machine Learning Classifiers
Mapping Paddy Rice Fields by Combining Multi-Temporal Vegetation Index and Synthetic Aperture Radar Remote Sensing Data Using Google Earth Engine machine Learning Platform
Mapping Recent Lava Flows at Mount Etna Using Multispectral Sentinel-2 Images and machine Learning Techniques
Mapping Regional Soil Organic Matter Based on Sentinel-2A and MODIS Imagery Using machine Learning Algorithms and Google Earth Engine
Mapping Rice Paddy Based on machine Learning with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability
Mapping Savanna Tree Species at Ecosystem Scales Using Support Vector machine Classification and BRDF Correction on Airborne Hyperspectral and LiDAR Data
Mapping Selective Logging in Mixed Deciduous Forest: A Comparison of machine Learning Algorithms
Mapping Street Patterns with Network Science and Supervised machine Learning
Mapping the Groundwater Level and Soil Moisture of a Montane Peat Bog Using UAV Monitoring and machine Learning
Mapping Urban Areas with Integration of DMSP/OLS Nighttime Light and MODIS Data Using machine Learning Techniques
Mapping Urban Extent at Large Spatial Scales Using machine Learning Methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data
Mapping Woody Volume of Mediterranean Forests by Using SAR and machine Learning: A Case Study in Central Italy
Markerless motion capture of man-machine interaction
Markov Random Field Based Text Identification from Annotated machine Printed Documents
Masked face recognition: Human versus machine
Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition machine, A
Mathematical Structures of Line Drawings of Polyhedrons: Toward Man-machine Communication by Means of Line Drawings
Mathematical symbol recognition with support vector machines
MATIS3D: An Adaptive Stereo Vision machine
Matrixized learning machine with modified pairwise constraints
Max-Margin Action Prediction machine
Max-Margin Boltzmann machines for Object Segmentation
Max-Margin Heterogeneous Information machine for RGB-D Action Recognition
Maximizing Impacts of Remote Sensing Surveys in Slope Stability: A Novel Method to Incorporate Discontinuities into machine Learning Landslide Prediction
Maximum Margin of Twin Spheres Support Vector machine for Imbalanced Data Classification
Maximum Margin One Class Support Vector machines for multiclass problems
MCMS-STM: An Extension of Support Tensor machine for Multiclass Multiscale Object Recognition in Remote Sensing Images
Mean-Field Approach to Learning in Boltzmann machines
Measuring panoramic radiomorphometric indices for mandible bone using active shape model and Bayesian information criterion-support vector machine
Mechatronics and machine Vision in Practice
Melanoma skin cancer identification with amalgamated TSBTC and BTC colour features using ensemble of machine learning algorithms
Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector machines
Memetic Extreme Learning machine
Mercury Prediction in Urban Soils by Remote Sensing and Relief Data Using machine Learning Techniques
Meta-analysis of deep neural networks in remote sensing: A comparative study of mono-temporal classification to support vector machines
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using machine Learning and Statistical Models
Meta-Evaluation of Image Segmentation Using machine Learning
Method and apparatus for predicting the direction of movement in machine vision
Method for Forest Canopy Height Inversion Based on machine Learning and Feature Mining Using UAVSAR, A
Method for Improving String Pattern Matching machines, A
Method for Improving the machine Recognition of Confusing Chinese Characters, A
Method for Retrieving Cloud-Top Height Based on a machine Learning Model Using the Himawari-8 Combined with Near Infrared Data, A
Method for Selecting Constrained Hand-Printed Character Shapes for machine Recognition, A
Method of SAR Image Automatic Target Recognition Based on Convolution Auto-Encode and Support Vector machine, A
Microcontrollers on the Edge: Is ESP32 with Camera Ready for machine Learning?
Microscan machine Vision Systems
Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme machine Learning
MIMD Computing Platform for a Hierarchical Foveal machine Vision System, An
Minds vs. machines: How Far Are We From the Common Sense of a Toddler?
MineCam: Application of Combined Remote Sensing and machine Learning for Segmentation and Change Detection of Mining Areas Enabling Multi-Purpose Monitoring
miniature stereo vision machine (MSVM-III) for dense disparity mapping, A
Miniature Stereo Vision machine for Real-Time Dense Depth Mapping, A
Minimal Learning machine In Anomaly Detection From Hyperspectral Images
Minimum Class Variance Extreme Learning machine for Human Action Recognition
Minimum Class Variance Support Vector machines
minimum description length principle based method for signal change detection in machine condition monitoring, A
Minimum Enclosing and Maximum Excluding machine for Pattern Description and Discrimination
Minimum Error-Rate Training in Statistical machine Translation Using Structural SVMs
Minimum variance-embedded kernelized extension of extreme learning machine for imbalance learning
Mining Subsidence Prediction by Combining Support Vector machine Regression and Interferometric Synthetic Aperture Radar Data
Mirroring and Rotating Images in Linear Quadtree Form with Few machine Instructions
MIRSVM: Multi-instance support vector machine with bag representatives
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double machine Learning
Mixed Pixel Analysis for Flood Mapping Using Extended Support Vector machine
mixture of experts committee machine to design compensators for intensity modulated radiation therapy, A
Mixture of Support Vector machines for HMM based Speech Recognition
MKPM: A multiclass extension to the kernel projection machine
MLCapsule: Guarded Offline Deployment of machine Learning as a Service
MLP-SVM combination architecture for offline handwritten digit recognition: Reduction of recognition errors by Support Vector machines rejection mechanisms, An
MLTSVM: A novel twin support vector machine to multi-label learning
MM-UrbanFAC: Urban Functional Area Classification Model Based on Multimodal machine Learning
Mobile Edge Computing and machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey
Model Based Vision System for Recognition of machine Parts, A
Model-Assisted Combined machine Learning Method for Ionospheric TEC Prediction, A
Model-Based machine Vision System Using Fuzzy-Logic, A
Model-Directed Object Recognition On The Connection machine
Modeling alpine grassland forage phosphorus based on hyperspectral remote sensing and a multi-factor machine learning algorithm in the east of Tibetan Plateau, China
Modeling and Classification of Alluvial Fans with DEMs and machine Learning Methods: A Case Study of Slovenian Torrential Fans
Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and machine Learning (Case Study: Yazd, Iran)
Modeling and Theoretical Analysis of GNSS-R Soil Moisture Retrieval Based on the Random Forest and Support Vector machine Learning Approach
Modeling Bidirectional Polarization Distribution Function of Land Surfaces Using machine Learning Techniques
Modeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and machine Learning
Modeling human-skeleton motion patterns using conditional deep Boltzmann machine
Modeling of Residual GNSS Station Motions through Meteorological Data in a machine Learning Approach
Modeling pixel means and covariances using factorized third-order boltzmann machines
Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using machine-Learning Approaches
Modeling the Leaf Area Index of Inner Mongolia Grassland Based on machine Learning Regression Algorithms Incorporating Empirical Knowledge
Modeling the Relationship of =2 MeV Electron Fluxes at Different Longitudes in Geostationary Orbit by the machine Learning Method
Modeling the Spatial Distribution of Debris Flows and Analysis of the Controlling Factors: A machine Learning Approach
Modelling and prediction of automotive engine air-ratio using relevance vector machine
Modelling In-Store Consumer Behaviour Using machine Learning and Digital Signage Audience Measurement Data
Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and machine Learning
Models of Errors and Mistakes in machine Perception, Part 1. First Results for Computer Vision Range Measurements
Modified and Parallelized Viterbi Algorithm on Hypercube machines, A
Modified criterion to select useful unlabeled data for improving semi-supervised support vector machines
modified support vector machine and its application to image segmentation, A
MODIS Fractional Snow Cover Mapping Using machine Learning Technology in a Mountainous Area
MODIS-Based Estimation of Terrestrial Latent Heat Flux over North America Using Three machine Learning Algorithms
Modulation Type Recognition Method Using Wavelet Support Vector machines, A
Monitoring and Forecasting of Urban Expansion Using machine Learning-Based Techniques and Remotely Sensed Data: A Case Study of Gharbia Governorate, Egypt
Monitoring Desertification Using machine-Learning Techniques with Multiple Indicators Derived from MODIS Images in Mu Us Sandy Land, China
Monitoring Forest Change in the Amazon Using Multi-Temporal Remote Sensing Data and machine Learning Classification on Google Earth Engine
Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of machine-Learning Techniques?
Monitoring Hydrological Patterns of Temporary Lakes Using Remote Sensing and machine Learning Models: Case Study of La Mancha Humeda Biosphere Reserve in Central Spain
Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms
monitoring method of driver mouth behavior based on machine vision, A
Monitoring Mineral Wool Production Using Real-Time machine Vision
Monitoring Nonlinear Profiles Using Support Vector machines
Monitoring of an Indonesian Tropical Wetland by machine Learning-Based Data Fusion of Passive and Active Microwave Sensors
Monitoring of Chestnut Trees Using machine Learning Techniques Applied to UAV-Based Multispectral Data
Monitoring the Area Change in the Three Gorges Reservoir Riparian Zone Based on Genetic Algorithm Optimized machine Learning Algorithms and Sentinel-1 Data
Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined machine Learning Models
Monitoring the Variation of Vegetation Water Content with machine Learning Methods: Point-Surface Fusion of MODIS Products and GNSS-IR Observations
Monitoring Total Suspended Solids and Chlorophyll-a Concentrations in Turbid Waters: A Case Study of the Pearl River Estuary and Coast Using machine Learning
Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and machine Learning Approaches
Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and machine Learning Techniques
More on the Benefit of a Third Eye for machine Stereo Perception
Moroccan sign language recognition based on machine learning
Morpheme-Based Weighting for Chinese-Mongolian Statistical machine Translation, A
Morphological Analysis Combined with a machine Learning Approach to Detect Utrasound Median Sagittal Sections for the Nuchal Translucency Measurement
Motion data-driven model for semantic events classification using an optimized support vector machine
Motion in human and machine: a virtual fatigue approach
MP-Polynomial Kernel for Training Support Vector machines
MREKLM: A fast multiple empirical kernel learning machine
Multi class Support Vector machines classifier for machine vision application
Multi class Support Vector machines classifier for machine vision application
Multi layer multi objective extreme learning machine
Multi-Agent Automated machine Learning
Multi-agent system based on the fuzzy control and extreme learning machine for intelligent management in hybrid energy system
Multi-Bernoulli sample consensus for simultaneous robust fitting of multiple structures in machine vision
Multi-channel descriptors and ensemble of Extreme Learning machines for classification of remote sensing images
Multi-class support vector machine
Multi-class Support Vector machine classifiers using intrinsic and penalty graphs
Multi-class Support Vector machines with Case-Based Combination for Face Recognition
Multi-Crop Classification Using Feature Selection-Coupled machine Learning Classifiers Based on Spectral, Textural and Environmental Features
Multi-disnet: machine Learning-based Object Distance Estimation from Multiple Cameras
Multi-distance support matrix machines
Multi-focus image fusion algorithm based on multilevel morphological component analysis and support vector machine
Multi-Hazard Exposure Mapping Using machine Learning for the State of Salzburg, Austria
Multi-Hazard Exposure Mapping Using machine Learning Techniques: A Case Study from Iran
Multi-label core vector machine with a zero label
Multi-layered Discriminative Restricted Boltzmann machine with Untrained Probabilistic Layer
Multi-Level Discrete Cosine Transform for Content-Based Image Retrieval by Support Vector machines
multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning, A
Multi-mode human-machine cooperative control for lane departure prevention based on steering assistance and differential braking
Multi-objective learning of Relevance Vector machine classifiers with multi-resolution kernels
Multi-output least-squares support vector regression machines
Multi-Processor Algorithms, Connection machine, Hypercube
Multi-Processor Algorithms, Pyramid machines
Multi-Scale Forest Above-Ground Biomass Mapping Approach: Employing a Step-by-Step Spatial Downscaling Method with Bias-Corrected Ensemble machine Learning, A
Multi-Scale Residential Areas Matching Method Using Relevance Vector machine and Active Learning, A
Multi-Source Data and machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19
Multi-Source Data Fusion Method to Improve the Accuracy of Precipitation Products: A machine Learning Algorithm, A
Multi-Source Precipitation Data Merging for Heavy Rainfall Events Based on Cokriging and machine Learning Methods
Multi-stage all-zero block detection for HEVC coding using machine learning
Multi-Stage, Multi-Feature machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions, A
Multi-step machine Learning Approach for Short Axis MR Images Segmentation, A
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals
Multi-task proximal support vector machine
Multi-Temporal Sentinel-1 and Sentinel-2 Data for Orchards Discrimination in Khairpur District, Pakistan Using Spectral Separability Analysis and machine Learning Classification
Multi-Variable Sentinel-2 Random Forest machine Learning Model Approach to Predicting Perennial Ryegrass Biomass in Commercial Dairy Farms in Southeast Australia, A
Multi-View Face Detection and Pose Estimation Using a Composite Support Vector machine across the View Sphere
Multi-weight vector projection support vector machines
Multiclass mv-granular soft support vector machine: A case study in dynamic classifier selection for multispectral face recognition
Multiclass Probabilistic Classification for Support Vector machines
Multicycle disassembly-based decomposition algorithm to train multiclass support vector machines
Multifaceted Engagement in Social Interaction with a machine: The JOKER Project
Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data via a machine Learning Method
Multimedia Data Privacy Against machines
Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach
Multimodal machine Learning: A Survey and Taxonomy
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines
Multimodal Segmentation of Optic Disc and Cup From SD-OCT and Color Fundus Photographs Using a machine-Learning Graph-Based Approach
Multimodal Video Indexing (MVI): A New Method Based on machine Learning and Semi-Automatic Annotation on Large Video Collections
Multiobjective Control Design for Human-machine Systems With Safety Performance Constraints
Multiple Criteria for Evaluating machine Learning Algorithms for Land Cover Classification from Satellite Data
Multiple cue integration in transductive confidence machines for head pose classification
Multiple face detection based on machine learning
Multiple Sequential Regularized Extreme Learning machines for Single Image Super Resolution
Multiple support vector machines for land cover change detection: An application for mapping urban extensions
Multiplicative update rules for incremental training of multiclass support vector machines
Multiplicative Update Rules for Multilinear Support Tensor machines
Multisource Classification Using Support Vector machines: An Empirical Comparison with Decision Tree and Neural Network Classifiers
Multispectral-based Imaging and machine Learning for Noninvasive Blood Loss Estimation
Multistation Bundle Adjustment with a machine Vision Parallel Camera System: An Alternative to the Perspective Case for the Measurement of Small Objects
Multistep-Ahead Solar Radiation Forecasting Scheme Based on the Light Gradient Boosting machine: A Case Study of Jeju Island
Multisurface Proximal Support Vector machine Classification via Generalized Eigenvalues
Multitask multiclass privileged information support vector machines
Multitask multiclass support vector machines: Model and experiments
Multitask-Oriented Brain-Controlled Intelligent Vehicle Based on Human-machine Intelligence Integration
Multitemporal Mountain Rice Identification and Extraction Method Based on the Optimal Feature Combination and machine Learning, A
Multitraining Support Vector machine for Image Retrieval
Multivariate machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data
Multivariate Relevance Vector machines for Tracking
Multiview Graph Restricted Boltzmann machines
MUter: machine Unlearning on Adversarially Trained Models
National-Scale Cropland Mapping Based on Phenological Metrics, Environmental Covariates, and machine Learning on Google Earth Engine
Natura 2000 Grassland Habitats Mapping Based on Spectro-Temporal Dimension of Sentinel-2 Images with machine Learning
Natural Human-machine Interface using an Interactive Virtual Blackboard
Navitar machine Vision
Near Real-Time Change Detection System Using Sentinel-2 and machine Learning: A Test for Mexican and Colombian Forests
Near Real-Time Characterization of Spatio-Temporal Precursory Evolution of a Rockslide from Radar Data: Integrating Statistical and machine Learning with Dynamics of Granular Failure
Near Real-Time Flood Mapping with Weakly Supervised machine Learning
Near-Surface Soil Moisture Characterization in Mississippi's Highway Slopes Using machine Learning Methods and UAV-Captured Infrared and Optical Images
Need for Accuracy Verification of machine Vision Algorithms and Systems, The
Nerve Localization by machine Learning Framework with New Feature Selection Algorithm
Neural Collaborative Graph machines for Table Structure Recognition
Neural machine Registration for Motion Correction in Breast DCE-MRI
Neural machine Translation with Deep Attention
Neural machine translation with Gumbel Tree-LSTM based encoder
Neural Mechanisms for Form and Motion Detection and Integration: Biology Meets machine Vision
Neural Networks for Human and machine Perception
Neural Networks in the Recognition of machine Printed Arabic Characters
Neural Person Search machines
Neuro-Fuzzy Inference System Through Integration of Fuzzy Logic and Extreme Learning machines, A
Neuroimage-based clinical prediction using machine learning tools
Neuromorphic Similarity Measurement of Tactile Stimuli in Human-machine Interface
new algorithm for machine printed Arabic character segmentation, A
New Algorithm Using Support Vector machines to Detect and Monitor Bloom-Forming Pseudo-nitzschia from OLCI Data, A
New Approach for Understanding Urban Microclimate by Integrating Complementary Predictors at Different Scales in Regression and machine Learning Models, A
New Approach to Detect Splice-Sites Based on Support Vector machines and a Genetic Algorithm, A
New Approach to machine Recognition of Chinese Characters, A
new approach to machine-based perception of monocular images, A
New Banknote Number Recognition Algorithm Based on Support Vector machine
New Classification Method for LIDAR Data Based on Unbalanced Support Vector machine, A
New clustering algorithms for the support vector machine based hierarchical classification
new color-based face detection and location by using support vector machine, A
New Convex Loss Function For Multiple Instance Support Vector machines, A
New Drought Monitoring Index on the Tibetan Plateau Based on Multisource Data and machine Learning Methods, A
new efficient nonlinear filter based on support vector machines for image denoising, A
New Event Detection with Nearest Neighbor, Support Vector machines, and Kernel Regression
New GPU Implementation of Support Vector machines for Fast Hyperspectral Image Classification, A
New Hermite orthogonal polynomial kernel and combined kernels in Support Vector machine classifier
New Identification Method for Surface Cracks from UAV Images Based on machine Learning in Coal Mining Areas, A
new intra prediction with adaptive template matching through finite state machine, A
New machine Learning Approach in Detecting the Oil Palm Plantations Using Remote Sensing Data, A
new machine learning based approach to predict Freezing of Gait, A
New Method for Bare Permafrost Extraction on the Tibetan Plateau by Integrating machine Learning and Multi-Source Information, A
new method for constructing granular neural networks based on rule extraction and extreme learning machine, A
New Method for Earth Observation Data Analytics Based on Symbolic machine Learning, A
New Method for Sensor Data Fusion in machine Vision
new method of target recognition based on Rough Set and Support Vector machine, A
New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using machine Learning, A
New Satellite-Based Retrieval of Low-Cloud Liquid-Water Path Using machine Learning and Meteosat SEVIRI Data, A
New Strategy to Fuse Remote Sensing Data and Geochemical Data with Different machine Learning Methods, A
new support vector machine method for medical image classification, A
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique
Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and machine Learning
NO2 Concentration Estimation at Urban Ground Level by Integrating Sentinel 5P Data and ERA5 Using machine Learning: The Milan (Italy) Case Study
Noise-Adaptive Discriminant Function and Its Application to Blurred machine Printed Kanji Recognition, A
Non-Fluent Synthetic Target-Language Data Improve Neural machine Translation
Non-negativity constraints on the pre-image for pattern recognition with kernel machines
Nonconvex Online Support Vector machines
Nonlinear Appraisal Modeling: An Application of machine Learning to the Study of Emotion Production
Nonlinear Combination of Multiple Kernels for Support Vector machines
Nonlinear Regression Application via machine Learning Techniques for Geomagnetic Data Reconstruction Processing, A
Nonparallel support vector machine with large margin distribution for pattern classification
Nonparallel Support Vector machines for Pattern Classification
Nonparametric state machine with multiple features for abnormal object classification
Nonparametric Structure Regularization machine for 2D Hand Pose Estimation
Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based machine Learning Technique
Novel Algorithm for Ship Detection Based on Dynamic Fusion Model of Multi-feature and Support Vector machine, A
Novel Approach Based on machine Learning and Public Engagement to Predict Water-Scarcity Risk in Urban Areas, A
Novel Approach for Estimation of Above-Ground Biomass of Sugar Beet Based on Wavelength Selection and Optimized Support Vector machine, A
Novel Approach for Predicting Large Wildfires Using machine Learning towards Environmental Justice via Environmental Remote Sensing and Atmospheric Reanalysis Data across the United States, A
Novel Car-Following Control Model Combining machine Learning and Kinematics Models for Automated Vehicles, A
Novel Cardiac Arrhythmia Processing using machine Learning Techniques
Novel Ensemble Approaches of machine Learning Techniques in Modeling the Gully Erosion Susceptibility
Novel Ensemble machine Learning and an Evolutionary Algorithm in Modeling the COVID-19 Epidemic and Optimizing Government Policies, A
Novel Ensemble Stacking Classification of Genetic Variations Using machine Learning Algorithms, A
Novel event analysis for human-machine collaborative underwater exploration
novel framework for multi-class classification via ternary smooth support vector machine, A
Novel Framework of Detecting Convective Initiation Combining Automated Sampling, machine Learning, and Repeated Model Tuning from Geostationary Satellite Data, A
Novel Graph-Based machine Learning Technique to Secure Smart Vehicles in Intelligent Transportation Systems
Novel Hybrid Method for Landslide Susceptibility Mapping-Based GeoDetector and machine Learning Cluster: A Case of Xiaojin County, China, A
novel incremental one-class support vector machine based on low variance direction, A
Novel Inference of a Restricted Boltzmann machine, A
Novel Integrated Approach of Relevance Vector machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides, A
Novel machine Learning Algorithm for Cloud Detection Using AERI Measurement Data, A
Novel machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery, A
Novel machine Learning Approaches for Modelling the Gully Erosion Susceptibility
Novel machine Learning Method Integrating Ensemble Learning and Deep Learning for Mapping Debris-Covered Glaciers
novel machine learning-based analytical framework for automatic detection of COVID-19 using chest X-ray images, A
Novel machine Learning-Based Scheme for Spectrum Sharing in Virtualized 5G Networks, A
novel machine vision application for analysis and visualization of confocal microscopic images, A
novel method for detecting soil salinity using AVIRIS-NG imaging spectroscopy and ensemble machine learning, A
Novel Method for Improving Air Pollution Prediction Based on machine Learning Approaches: A Case Study Applied to the Capital City of Tehran, A
Novel Method to Identify the Spaceborne SAR Operating Mode Based on Sidelobe Reconnaissance and machine Learning, A
novel restricted Boltzmann machine-based temporal-spatial correlation method for student behaviour recognition in depth video, A
Novel Robust Modified Support Vector machines, A
novel screen content fast transcoding framework based on statistical study and machine learning, A
Novel Technique for Subpixel Image Classification Based on Support Vector machine, A
novel unsupervised ensemble framework using concept-based linguistic methods and machine learning for twitter sentiment analysis, A
Novelty Detection in Human-machine Interaction Through a Multimodal Approach
Number Plate Recognition Based on Support Vector machines
Object detection in images run-time complexity and parameter selection of support vector machines
Object edge point filtering system for machine vision
Object Features for Pixel-based Classi cation of Urban Areas Comparing Different machine Learning Algorithms
Object Identification in Land Parcels Using a machine Learning Approach
Object Recognition and Detection by a Combination of Support Vector machine and Rotation Invariant Phase Only Correlation
Object Recognition as machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
Object Recognition in Man, Monkey, and machine
Object Recognition System-on-Chip Using the Support Vector machines
Object Recognition Using Geometric Hashing on the Connection machine
Object Recognition Using the Connection machine
Object Recognition Using the Connection machine's Router
Object tracking with adaptive motion modeling of particle filter and support vector machines
Object Tracking With Multi-View Support Vector machines
Object-Based Classification of Mangroves Using a Hybrid Decision Tree: Support Vector machine Approach, An
Object-Based Image Classification of Summer Crops with machine Learning Methods
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and machine Learning Algorithms
Of mice, men, and machines: Real and artificial deep networks for vision
Off-line Chinese signature verification based on support vector machines
Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector machines
Offline Cursive Character Challenge: a New Benchmark for machine Learning and Pattern Recognition Algorithms.
Offshore Hydrocarbon Exploitation Target Extraction Based on Time-Series Night Light Remote Sensing Images and machine Learning Models: A Comparison of Six Machine Learning Algorithms and Their Multi-Feature Importance
Offshore Hydrocarbon Exploitation Target Extraction Based on Time-Series Night Light Remote Sensing Images and machine Learning Models: A Comparison of Six Machine Learning Algorithms and Their Multi-Feature Importance
Oil Spill Detection Using machine Learning and Infrared Images
Omnidirectional vision system for controllng mobile machines
On a Kernel Regression Approach to machine Translation
On Combining Support Vector machines and Simulated Annealing in Stereovision Matching
On domain knowledge and feature selection using a support vector machine
On Kernel Selection in Relevance Vector machines Using Stability Principle
On line signature verification: fusion of a hidden markov model and a neural network via a support vector machine
On machine learning, ROC analysis, and statistical tests of significance
On machine Recognition of Hand-Printed Chinese Characters by Feature Relaxation
On machine Understanding of Online Handwritten Mathematical Expressions
On minimum class locality preserving variance support vector machine
On minimum distribution discrepancy support vector machine for domain adaptation
On Neurobiological, Neuro-Fuzzy, machine Learning, and Statistical Pattern-Recognition Techniques
On Optimal Dynamic Sequential Search for Matching in Real-Time machine Vision
On Spectral Unmixing Resolution Using Extended Support Vector machines
On the Application of Massively Parallel SIMD Tree machines to Certain Intermediate-Level Vision Tasks
On the Convergence of Tsetlin machines for the IDENTITY- and NOT Operators
On the Convergence of Tsetlin machines for the XOR Operator
On the Development of A Novel Approach for Identifying Perennial Drainage In Southern Brazil: A Study Case Integrating Sentinel-2 And High-resolution Digital Elevation Models with machine Learning Techniques
On the Human-machine Interaction of Unmanned Aerial System Mission Specialists
On the kernel Extreme Learning machine classifier
On the kernel Extreme Learning machine speedup
On the optimal parameter choice for v-support vector machines
On the range of applicability of an artificial intelligence machine
On the stability of support vector machines for face detection
On the Synergies Between machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey
On the use of different loss functions in statistical pattern recognition applied to machine translation
on-line character recognition aimed at a substitution for a billing machine keyboard, An
On-line handwriting recognition with support vector machines: A kernel approach
On-line independent support vector machines
On-line machine vision system for detect split defects in sheet-metal forming processes
On-line prediction of micro-turning multi-response variables by machine vision system using adaptive neuro-fuzzy inference system (ANFIS)
One class proximal support vector machines
One-class machine Learning for Brain Activation Detection
One-class slab support vector machine
Online Active Extreme Learning machine With Discrepancy Sampling for PolSAR Classification
Online adaptation strategies for statistical machine translation in post-editing scenarios
Online Audience Measurement System Based on machine Learning Techniques
online core vector machine with adaptive MEB adjustment, An
Online Incremental machine Learning Platform for Big Data-Driven Smart Traffic Management
Online pattern recognition and machine learning techniques for computer-vision: Theory and applications
Online Sequential Extreme Learning machine-Based Active Interference Activity Prediction for Cognitive Radar
Online Signature Verification with New Time Series Kernels for Support Vector machines
Online Signature Verification With Support Vector machines Based on LCSS Kernel Functions
Online-Offline Extreme Learning machine with Concept Drift Tracking for Time Series Data
Open Data and machine Learning to Model the Occurrence of Fire in the Ecoregion of Llanos Colombo-Venezolanos
Open Dataset for Video Coding for machines Standardization, An
Open-vocabulary recognition of machine-printed Arabic text using hidden Markov models
OpenMP parallelization and optimization of graph-based machine learning algorithms
Operating quality control of ground machines by means of the terrestrial laserscanning system
Opinion Mining Using Support Vector machine with Web Based Diverse Data
Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and machine Learning
Opportunities for machine Learning and Artificial Intelligence In National Mapping Agencies: Enhancing Ordnance Survey Workflow
Optical character recognition neural network system for machine-printed characters
Optical Cloud Pixel Recovery via machine Learning
Optical Flow Estimation on the Connection-machine CM-2
Optical Sensors for machine Vision
Optical Society of America Topical Meeting on machine Vision
Optimal feature selection for support vector machines
Optimal H-inf control without reaching phase with the differential evolution PID based on PSS for multi-machine power system
Optimal Human-machine Teaming for a Sequential Inspection Operation
Optimal Implementation of the Approximate String Matching on the Hierarchical Memory machine, with Performance Evaluation on the GPU, An
Optimal nonlinear control for a variable speed wind turbine based on support vector machine algorithm
Optimal perturb and observe control for MPPT based on least square support vector machines algorithm
Optimal Sensor and Light-Source Positioning for machine Vision
Optimal Solar Zenith Angle Definition for Combined Landsat-8 and Sentinel-2A/2B Data Angular Normalization Using machine Learning Methods
Optimization-Based Extreme Learning machine with Multi-kernel Learning Approach for Classification
Optimized convolutional pose machine for 2D hand pose estimation
Optimized support vector machines for nonstationary signal classification
Optimizing Matching Area for Underwater Gravity-Aided Inertial Navigation Based on the Convolution Slop Parameter-Support Vector machine Combined Method
Optimizing Radar-Based Rainfall Estimation Using machine Learning Models
Optimizing resources in model selection for support vector machine
Optimizing support vector machine based classification and retrieval of semantic video events with genetic algorithms
Optimizing support vector machine learning for semi-arid vegetation mapping by using clustering analysis
Optimum Design Parameters of the Classifiers for Omni-font machine-printed Numeral Recognition Based on the Minimum Classification Error Criterion
Ordered Hypothesis machines
Organizational Geosocial Network: A Graph machine Learning Approach Integrating Geographic and Public Policy Information for Studying the Development of Social Organizations in China
Ornithologist's Guide for Including machine Learning in a Workflow to Identify a Secretive Focal Species from Recorded Audio, An
Orthogonal kernel machine for the prediction of functional sites in proteins
Over-Complete Wavelet Approximation of a Support Vector machine for Efficient Classification
Overlapping Domain Cover for Scalable and Accurate Regression Kernel machines
OxfordTVG-HIC: Can machine Make Humorous Captions from Images?
PA3D: Pose-Action 3D machine for Video Recognition
Pain detection using batch normalized discriminant restricted Boltzmann machine layers
Pair-wise sequential reduced set for optimization of support vector machines
Pairwise Coupling for machine Recognition of Hand-Printed Japanese Characters
Pancreatic Cancer Detection Using Hyperspectral Imaging and machine Learning
Panic Detection Using machine Learning and Real-Time Biometric and Spatiotemporal Data
Pansharpening With Multiscale Geometric Support Tensor machine
Parallel Algorithm for 2D and 3D Object Recogniton and Its Implementation on a MIMD machine, A
Parallel Algorithm for Incremental Stereo Matching on SIMD machines, A
Parallel Algorithm to Generate a Markov Random Field Image on a SIMD Hypercube machine, A
Parallel Algorithms for Computer Vision on the Connection machine
Parallel Algorithms for Linear Approximation on Distributed Memory machines
Parallel Algorithms for machine Intelligence and Vision
Parallel Approach to the Picture Restoration Algorithm of Geman and Geman on an SIMD machine, A
Parallel Architecture for Fast 3-D machine Vision
Parallel computation of Watershed Transform in weighted graphs on shared memory machines
Parallel Configurable Lisp machine, A
Parallel Curve Matching on the Connection machine
Parallel Distance Transforms on Pyramid machines: Theory and Implementation
Parallel Image Correlation: Case-Study to Examine Trade-Offs in Algorithm-to-machine Mappings
Parallel Implementations of Perceptual Grouping Tasks on Distributed Memory machines
parallel partial-sums computation on a pyramid machine, A
Parallel Picture Processing machine, A
Parallel quadtree representation and moment invariants computation of binary image for hierarchical matching on pyramid machine
Parallel-Cascaded Ensemble of machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data, A
Parallelizing Image Feature Extraction on Coarse-Grain machines
Parameter Flexible Wildfire Prediction Using machine Learning Techniques: Forward and Inverse Modelling
Parameter selection of Gaussian kernel for cost-sensitive support vector machines in imbalanced data classification
Parkinson's Disease Identification Using Restricted Boltzmann machines
PARM: A Parallel Relaxation machine for Handwritten Character Recognition
Part-of-Speech Tagging Based on machine Translation Techniques
Partial and Holistic Face Recognition on FRGC-II data using Support Vector machine
Partial FC: Training 10 Million Identities on a Single machine
Partial Least Squares for Word Confidence Estimation in machine Translation
Partially occluded pedestrian classification using histogram of oriented gradients and local weighted linear kernel support vector machine
Partitioning Global Surface Energy and Their Controlling Factors Based on machine Learning
passive real-time gaze estimation system for human-machine interfaces, A
Passive-Aggressive for On-Line Learning in Statistical machine Translation
Pattern classification to optimize the performance of Transcranial Doppler Ultrasonography-based brain machine interface
Pattern classification using support vector machine ensemble
Pattern Recognition and machine Learning
Pattern Recognition and Reading by machine
Pattern Recognition by machine
Pattern recognition with a Bayesian kernel combination machine
Pattern Recognition with Moment Invariants on a machine Vision System
Pattern Recognition, machine Intelligence and Biometrics
PC-Based machine Vision System for Real-Time Computer-Aided Potato Inspection
PCB-METAL: A PCB Image Dataset for Advanced Computer Vision machine Learning Component Analysis
Pegasos Algorithm for One-Class Support Vector machine
Perception of Transparency in Man and machine
Perception of Transparency in Man and machine: A Comment on Beck
Perceptual quality assessment of video using machine learning algorithm
PerDet: machine-Learning-Based UAV GPS Spoofing Detection Using Perception Data
Performance Assessment of Four Data-Driven machine Learning Models: A Case to Generate Sentinel-2 Albedo at 10 Meters
Performance Assessment of Near-Perfect machines
Performance Comparison of machine Learning Algorithms for Estimating the Soil Salinity of Salt-Affected Soil Using Field Spectral Data
Performance Comparison of machine Learning Models for Annual Precipitation Prediction Using Different Decomposition Methods
Performance Comparison of Oil Spill and Ship Classification from X-Band Dual- and Single-Polarized SAR Image Using Support Vector machine, Random Forest, and Deep Neural Network
Performance evaluation of color based road detection using neural nets and support vector machines
Performance Evaluation of machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images
Performance evaluation of relevance vector machines as a nonlinear regression method in real-world chemical spectroscopic data
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between machine Learning Algorithms
Performance evaluation of support vector machine and artificial neural network in the classification of liver cirhosis and hemachromatosis
Performance evaluation of various texture analysis techniques for machine vision-based characterisation of machined surfaces
Performance of the Support Vector machine and Artificial Neural Network Classifiers for Roads Identification
Peripheral Processes in machine Perception of Motion
Permeable Breakwaters Performance Modeling: A Comparative Study of machine Learning Techniques
Personalized Expression Synthesis Using a Hybrid Geometric-machine Learning Method
Perspective on machine Vision at General Motors, A
Perspective Theory for Motion and Shape Estimation in machine Vision, A
Phase Retrieval: From Computational Imaging to machine Learning: A tutorial
Photorealistic Monocular Gaze Redirection Using machine Learning
Phrase-Based Alignment Models for Statistical machine Translation
Phrase-Based Statistical machine Translation Using Approximate Matching
Physics-Based machine Vision: Introduction
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging
Physics-Driven machine Learning for Computational Imaging: Part 2
Physics-Embedded machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods
Physics-Enhanced machine Learning for Virtual Fluorescence Microscopy
Picture Language machines
Picture Understanding by machine via Textural Feature Extraction
Pixel-Based Skin Segmentation in Psoriasis Images Using Committee of machine Learning Classifiers, A
Pixel-Unmixing Moderate-Resolution Remote Sensing Imagery Using Pairwise Coupling Support Vector machines: A Case Study
Placement methods of Virtual machines in servers
Planet Image-Based Inventorying and machine Learning-Based Susceptibility Mapping for the Landslides Triggered by the 2018 Mw6.6 Tomakomai, Japan Earthquake
Play Request Dispatching for Efficient Virtual machine Usage in Cloud Gaming
Plot-Based Classification of Macronutrient Levels in Oil Palm Trees with Landsat-8 Images and machine Learning
PointHop: An Explainable machine Learning Method for Point Cloud Classification
Polarimetric Target Decompositions and Light Gradient Boosting machine for Crop Classification: A Comparative Evaluation
Polarization-Imaging-Based machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions, A
Population Spatialization in Beijing City Based on machine Learning and Multisource Remote Sensing Data
Port Bathymetry Mapping Using Support Vector machine Technique and Sentinel-2 Satellite Imagery
Pose machines: Articulated Pose Estimation via Inference Machines
Pose machines: Articulated Pose Estimation via Inference Machines
Pose-Invariant Face Recognition in Videos for Human-machine Interaction
Posed and Spontaneous Expression Recognition Through Restricted Boltzmann machine
Possibilistic support vector machines
Post-Disaster Recovery Assessment with machine Learning-Derived Land Cover and Land Use Information
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approaches
Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and machine Learning
Potato Yield Prediction Using machine Learning Techniques and Sentinel 2 Data
Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau
Potential of Sentinel-1A Data for Identification of Debris-Covered Alpine Glacier Based on machine Learning Approach, The
Potential Role of News Media to Construct a machine Learning Based Damage Mapping Framework, The
Power/QoS-Adaptive HEVC FME Hardware using machine Learning-Based Approximation Control
Powered Two-Wheeler Riding Pattern Recognition Using a machine-Learning Framework
Practical Approach to Model Selection for Support Vector machines With a Gaussian Kernel, A
Pragmatic Aspects of machine Vision
Pre-Constrained machine Learning Method for Multi-Year Mapping of Three Major Crops in a Large Irrigation District
Precipitates Segmentation from Scanning Electron Microscope Images through machine Learning Techniques
Precipitation Retrieval from Fengyun-3D Microwave Humidity and Temperature Sounder Data Using machine Learning
Precision Landmark Location for machine Vision and Photogrammetry: Finding and Achieving the Maximum Possible Accuracy
Precision motion control for the parallel mechanism of a virtual axis machine tool
Predict Seasonal Maximum Freezing Depth Changes Using machine Learning in China over the Last 50 Years
Predicting and Mapping of Soil Organic Carbon Using machine Learning Algorithms in Northern Iran
Predicting Aquaplaning Performance from Tyre Profile Images with machine Learning
Predicting biometric facial recognition failure with similarity surfaces and support vector machines
Predicting Breast Cancer Recurrence Using machine Learning Techniques: A Systematic Review
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery
Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A machine and Deep Learning Approach Using Multispectral Data
Predicting dominance judgements automatically: A machine learning approach
Predicting Dry Pea Maturity Using machine Learning and Advanced Sensor Fusion with Unmanned Aerial Systems (UASs)
Predicting Eastern Mediterranean Flash Floods Using Support Vector machines with Precipitable Water Vapor, Pressure, and Lightning Data
Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using machine Learning Methods
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in machine Learning
Predicting machine Learning Pipeline Runtimes in the Context of Automated Machine Learning
Predicting machine Learning Pipeline Runtimes in the Context of Automated Machine Learning
Predicting Maize Yield at the Plot Scale of Different Fertilizer Systems by Multi-Source Data and machine Learning Methods
Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and machine Learning
Predicting Short-Term Deformation in the Central Valley Using machine Learning
Predicting Slope Stability Failure through machine Learning Paradigms
Predicting Terrorism in Europe with Remote Sensing, Spatial Statistics, and machine Learning
Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using machine Learning over India
Predicting Tree Sap Flux and Stomatal Conductance from Drone-Recorded Surface Temperatures in a Mixed Agroforestry System: A machine Learning Approach
Predicting Water Quality Distribution of Lakes through Linking Remote Sensing-Based Monitoring and machine Learning Simulation
Prediction and Mapping of Cochlodinium Polykrikoides Red Tide Using machine Learning Under Imbalanced Data
Prediction Method of Ionospheric hmF2 Based on machine Learning, A
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features
Prediction of energy consumption for new electric vehicle models by machine learning
Prediction of Field-Scale Wheat Yield Using machine Learning Method and Multi-Spectral UAV Data
Prediction of Leaf Wetness Duration Using Geostationary Satellite Observations and machine Learning Algorithms
Prediction of Minimally Conscious State Responder Patients to Non-invasive Brain Stimulation Using machine Learning Algorithms
Prediction of Pollutant Concentrations By Meteorological Data Using machine Learning Algorithms
Prediction of Strawberry Dry Biomass from UAV Multispectral Imagery Using Multiple machine Learning Methods
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine
Prediction of the Area of High-Turbidity Water in the Yatsushiro Sea, Japan, Using machine Learning with Satellite, Meteorological, and Oceanographic Data
Prediction of the Tibetan Plateau Thermal Condition with machine Learning and Shapley Additive Explanation, The
Prediction of Unpaved Road Conditions Using High-Resolution Optical Satellite Imagery and machine Learning
Prediction of Urban Forest Aboveground Carbon Using machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China
Prediction of Winter Wheat Yield Based on Multi-Source Data and machine Learning in China
Predictive Modeling of Above-Ground Biomass in Brachiaria Pastures from Satellite and UAV Imagery Using machine Learning Approaches
Preface - Isprs Workshop Hyperspectral Sensing Meets machine Learning And Pattern Analysis (hypermlpa 2019)
Preface to the Special Section on machine Vision for Intelligent Vehicles and Autonomous Robots
Preferred vector machine for forest fire detection
Preliminary Numerical Study to Compare the Physical Method and machine Learning Methods Applied to GPR Data for Underground Utility Network Characterization, A
Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, machine Learning, and Proximal Sensing Spectroscopy
Preprocessing and Segmentation of Bad Quality machine Typed Documents
Primal explicit max margin feature selection for nonlinear support vector machines
Principles for Human-Centered Interaction Design, Part 2: Can Humans and machines Think Together?
Prior-Guided Contrastive Image Compression for Underwater machine Vision
Probabilistic Finite-State machines-Part I
Probabilistic Finite-State machines-Part II
Probabilistic Liveness Decision Method of Unbounded Petri Nets Based on machine Learning, The
Probabilistic Mapping and Spatial Pattern Analysis of Grazing Lawns in Southern African Savannahs Using WorldView-3 Imagery and machine Learning Techniques
Probabilistic Object Tracking Based on machine Learning and Importance Sampling
Probabilistic Prediction of Bus Headway Using Relevance Vector machine Regression
Probabilistic River Water Mapping from Landsat-8 Using the Support Vector machine Method
Probing Seismogenic Faults with machine Learning
Procedural Model of Recognition for machine Perception, A
Proceedings of the 13th British machine Vision Conference
Program Development and Coding on a Fine-Grained Vision machine
Programming intermediate level vision tasks on parallel machines
Progress in machine Vision for Motion Control
Progress towards an HF Radar Wind Speed Measurement Method Using machine Learning
Progressive Geological Modeling and Uncertainty Analysis Using machine Learning
Progressive modality-complement aggregative multitransformer for domain multi-modal neural machine translation
Progressive Vector Quantization on a Massively-Parallel SIMD machine with Application to Multispectral Image Data
Projectile impact detection and performance evaluation using machine vision
Projection of Future Extreme Precipitation in China Based on the CMIP6 from a machine Learning Perspective
Proposed machine Learning Techniques for Bridge Structural Health Monitoring: A Laboratory Study
Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector machines and Conditional Random Fields
Prototype Pyramid machine for Hierarchical Cellular Logic, A
Prototypes of Biological Movements in Brains and machines
Prudence when assuming normality: An advice for machine learning practitioners
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach
Pulse-coupled neural networks and one-class support vector machines for geometry invariant texture retrieval
Putting the Scientist in the Loop: Accelerating Scientific Progress with Interactive machine Learning
PVBMT: A Principal Verb based Approach for English to Bangla machine Translation
Pyramid machine Simulator for the Symbolics 3600, A
Pyramid Programming Environment on the Connection machine, A
Pyramidal Thinning Algorithm for SIMD Parallel machines
QCBO-WSVM: Quantum chaos butterfly optimization-based weighted support vector machine for neuropathic pain detection from EEG signal
QR factorization based Incremental Extreme Learning machine with growth of hidden nodes
Qualitative Action Recognition by Wireless Radio Signals in Human-machine Systems
Quantification of Annual Settlement Growth in Rural Mining Areas Using machine Learning
Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and machine Learning Models
Quantifying Forest Fire and Post-Fire Vegetation Recovery in the Daxin'anling Area of Northeastern China Using Landsat Time-Series Data and machine Learning
Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and machine Learning
Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented machine Learning Methods
Quantifying Seagrass Density Using Sentinel-2 Data and machine Learning
Quantifying the Effects of Urban Form on Land Surface Temperature in Subtropical High-Density Urban Areas Using machine Learning
Quantitative Evaluation of Confidence Measures in a machine Learning World
Quantitative Model Construction for Sustainable Security Patterns in Social-Ecological Links Using Remote Sensing and machine Learning
Quantitative Precipitation Estimates Using machine Learning Approaches with Operational Dual-Polarization Radar Data
Quantitative Precipitation Estimation in the Tianshan Mountains Based on machine Learning
Quantization noise as a determinant for color thresholds in machine vision
Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised Learning Method for machine Learning Classifiers
Quaternion Extreme Learning machine Based on Real Augmented Representation
Queueing Model Based Intelligent Human-machine Task Allocator, A
Radar emitter signal recognition based on support vector machines
Radon Transform and Its Application to Shape Parameterization in machine Vision, The
Railway Fastener Inspection by Real-Time machine Vision
Rain Detection From X-Band Marine Radar Images: A Support Vector machine-Based Approach
Rainfall Forecast Using machine Learning with High Spatiotemporal Satellite Imagery Every 10 Minutes
Rainfall-Induced Shallow Landslide Susceptibility Mapping at Two Adjacent Catchments Using Advanced machine Learning Algorithms
Rainrate Estimation from FY-4A Cloud Top Temperature for Mesoscale Convective Systems by Using machine Learning Algorithm
Random Embedding machines for Low-complexity Pattern Recognition
Random Features for Large-Scale Kernel machines
Random Forest machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat, A
Random Forest Model and Sample Explainer for Non-experts in machine Learning: Two Case Studies
Random Walk Kernel Applications to Classification Using Support Vector machines
Randomized Transferable machine
Rank order filtering on SIMD machines
Rank-Based Decomposable Losses in machine Learning: A Survey
Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine
rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine, A
Rapid Pattern Inspection of Shadow Masks by machine Vision Integrated with Fourier Optics
Rapid Ship Detection Method on Movable Platform Based on Discriminative Multi-Size Gradient Features and Multi-Branch Support Vector machine
Rapid, Accurate and machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis, A
Rapidly Adapting machine Vision System for Automated Vehicle Steering, A
Rare Class Classification by Support Vector machine
Rate Distortion Optimization Over Large Scale Video Corpus With machine Learning
Reading machines
Real Time Facial Expression Recognition from Image Sequences Using Support Vector machines
Real Time machine Learning Based Car Detection in Images With Fast Training
Real Time Versatile Robotics Hand/Eye Calibration Using 3D machine Vision
Real-Time Color Recognition in Symbolic Programming for machine Vision Systems
Real-time crash prediction on urban expressways: identification of key variables and a hybrid support vector machine model
Real-time Cross-dataset Quality Production Assessment in Industrial Laser Cutting machines
Real-Time Detection of Driver Cognitive Distraction Using Support Vector machines
Real-Time Detection System of Driver Distraction Using machine Learning
Real-time freeway sideswipe crash prediction by support vector machine
real-time machine vision system for bottle finish inspection, A
Real-time machine-vision-based position sensing system for UAV aerial refueling
Real-Time Object Recognition: Hierarchical Image Matching in a Parallel Virtual machine Environment
Real-time positioning for augmented reality on a custom parallel machine
Real-Time Recognition of 3D-Pointing Gestures for Human-machine-Interaction
Real-time sufficient dimension reduction through principal least squares support vector machines
Realtime Kernel based machine Learning Template Matching (KMLT)
Receding Horizon Cache and Extreme Learning machine based Reinforcement Learning
Recent Advances in Kernel machines
Recent Development and Challenges in Spectroscopy and machine Vision Technologies for Crop Nitrogen Diagnosis: A Review
Recognition Algorithms for the Connection machine
Recognition and Classification of Martian Chaos Terrains Using Imagery machine Learning: A Global Distribution of Chaos Linked to Groundwater Circulation, Catastrophic Flooding, and Magmatism on Mars
recognition method of machine-printed monetary amounts based on the two-dimensional segmentation and the bottom-up parsing, A
Recognition of Arabic machine-Printed Cursive Text
Recognition of Facial Gestures Based on Support Vector machines
Recognition of Hand-printed Chinese Characters Using Decision Trees/machine Learning C4.5 System
Recognition of Mental Workload Levels Under Complex Human-machine Collaboration by Using Physiological Features and Adaptive Support Vector Machines
Recognition of Mental Workload Levels Under Complex Human-machine Collaboration by Using Physiological Features and Adaptive Support Vector Machines
Recognition of the Bare Soil Using Deep machine Learning Methods to Create Maps of Arable Soil Degradation Based on the Analysis of Multi-Temporal Remote Sensing Data
Recognition Strategies in machine Vision Applications
Recognizability assessment of facial images for automated teller machine applications
Recognizing 3-D objects with linear support vector machines
Recognizing Eruptions of Mount Etna through machine Learning using Multiperspective Infrared Images
Recognizing facial action units using independent component analysis and support vector machine
Recognizing Facial Expression: machine Learning and Application to Spontaneous Behavior
Recognizing machines with parametric and nonparametric learning methods using contextual information
Recognizing People's Faces: from Human to machine Vision
Reconstructing Satellite-Based Monthly Precipitation over Northeast China Using machine Learning Algorithms
Reconstruction of CASSI-Raman Images with machine-Learning
Reconstruction of Global Long-Term Gap-Free Daily Surface Soil Moisture from 2002 to 2020 Based on a Pixel-Wise machine Learning Method
Reconstruction of High-Resolution Sea Surface Salinity over 2003-2020 in the South China Sea Using the machine Learning Algorithm LightGBM Model
Reconstruction of Land Surface Temperature Derived from FY-4A AGRI Data Based on Two-Point machine Learning Method
Reconstruction of Monthly Surface Nutrient Concentrations in the Yellow and Bohai Seas from 2003-2019 Using machine Learning
Reconstruction of Near-Surface Air Temperature over the Greenland Ice Sheet Based on MODIS Data and machine Learning Approaches
Reconstruction of Ocean Color Data Using machine Learning Techniques in Polar Regions: Focusing on Off Cape Hallett, Ross Sea
Recurrent 3D Pose Sequence machines
Recursive projection twin support vector machine via within-class variance minimization
Red eye detection with machine learning
REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin machines
reduced universum twin support vector machine for class imbalance learning, A
Reducing the number of sub-classifiers for pairwise multi-category support vector machines
Redundancy removal for isolated gesture in Indian sign language and recognition using multi-class support vector machine
Reference-free machine Vision Inspection Of Semiconductor Die Images
Refined Method of High-Resolution Remote Sensing Change Detection Based on machine Learning for Newly Constructed Building Areas, A
Region of Interest Based Prostate Tissue Characterization Using Least Square Support Vector machine LS-SVM
Region-based Image Annotation using Asymmetrical Support Vector machine-based Multiple-Instance Learning
Region-Kernel-Based Support Vector machines for Hyperspectral Image Classification
Regional Representativeness Analysis of Ground-Monitoring PM2.5 Concentration Based on Satellite Remote Sensing Imagery and machine Learning Techniques
Regional Typhoon Track Prediction Using Ensemble k-Nearest Neighbor machine Learning in the GIS Environment
Regional Zenith Tropospheric Delay Modeling Based on Least Squares Support Vector machine Using GNSS and ERA5 Data
Registar machine: From Conception to Installation, The
Registration of CAD mesh models with CT volumetric model of assembly of machine parts
Regression Committee machine and Petrophysical Model Jointly Driven Parameters Prediction From Wireline Logs in Tight Sandstone Reservoirs
Regular Hierarchical Image and Processing Structures in machine Vision
Regularized dynamic Boltzmann machine with Delay Pruning for unsupervised learning of temporal sequences
Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain-machine Interface Adaptation
Reinterpreting the Application of Gabor Filters as a Manipulation of the Margin in Linear Support Vector machines
Relative Evaluation of Multiclass Image Classification by Support Vector machines, A
Relative Margin Support Tensor machines for gait and action recognition
Relevance feedback approach for image retrieval combining support vector machines and adapted gaussian mixture models
Relevance Vector machine for Automatic Detection of Clustered Microcalcifications
Relevance Vector machine Learning for Detection of Microcalcifications in Mammograms
Relevance Voxel machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction, The
Reliable Next-Generation Cortical Interfaces for Chronic Brain-machine Interfaces and Neuroscience
Remembering Both the machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point Clouds
Remote Distinction of A Noxious Weed (Musk Thistle: CarduusNutans) Using Airborne Hyperspectral Imagery and the Support Vector machine Classifier
Remote Sensing and machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming
Remote Sensing and machine Learning Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research
Remote Sensing and machine Learning-Based Approach to Forecast the Onset of Harmful Algal Bloom, A
Remote Sensing Approach for Surface Urban Heat Island Modeling in a Tropical Colombian City Using Regression Analysis and machine Learning Algorithms, A
Remote Sensing of Chlorophyll-a in Xinkai Lake Using machine Learning and GF-6 WFV Images
Remote Sensing of Global Sea Surface pH Based on Massive Underway Data and machine Learning
Remote Sensing of Lake Water Clarity: Performance and Transferability of Both Historical Algorithms and machine Learning
Remote Sensing-Based Mapping of Senescent Leaf C:N Ratio in the Sundarbans Reserved Forest Using machine Learning Techniques
Remote-Sensing-Based Streamflow Forecasting Using Artificial Neural Network and Support Vector machine Models
Removing JPEG blocking artifacts using machine learning
Replicated Image Algorithms and Their Analyses on SIMD machines
Reply to Comments on Traffic Sign Recognition Using Kernel Extreme Learning machines With Deep Perceptual Features
Report of the AAAI Fall Symposium on machine Learning and Computer Vision: What, Why and How?
Representation of WOS Filters Through Support Vector machine, A
Representing and recognizing visual dynamic events with support vector machines
Representing Functional Data Using Support Vector machines
Representing Pattern Recognition-Embedded Systems through Object-Process Diagrams: The Case of the machine Drawing Understanding System
Research Directions in Industrial machine Vision: A Workshop Summary
Research into the Optimal Regulation of the Groundwater Table and Quality in the Southern Plain of Beijing Using Geographic Information Systems Data and machine Learning Algorithms
Research of Tool Wear Predictive Technique Based on Support Vector machine
Research on auto-calibration technology of intelligent vehicle camera based on machine vision
Research on Automatic Inspection and Classification for Middle Thickness Pb Alloy Castings Based on machine Vision Recognition Technology
Research on fingerprint classification based on twin support vector machine
Research on image preprocessing and target detection of vehicle-machine cooperative system
Research on Layout and Simulation of Human-machine Interface in Vehicle, The
Research on Long-Term Tidal-Height-Prediction-Based Decomposition Algorithms and machine Learning Models
Research on machine Recognition of Handprinted Characters
Research on real-time analysis technology of urban land use based on support vector machine
Research on Road Marking Extraction Method Based on machine Learning
Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles Using machine Learning
Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, machine Learning, and Web-GIS
Responsible Pattern Recognition and machine Intelligence
Responsive Social Smile: A machine Learning based Multimodal Behavior Assessment Framework towards Early Stage Autism Screening
Restricted Boltzmann machine approach to couple dictionary training for image super-resolution
Restricted Boltzmann machine-Based Approach for Robust Dimensionality Reduction, A
Restricted Boltzmann machine-Based Voice Conversion for Nonparallel Corpus
Restricted Boltzmann machines for Gender Classification
Results of the 2020 fastMRI Challenge for machine Learning MR Image Reconstruction
Rethinking Context: Leveraging Human and machine Computation in Disaster Response
Retrieval of Atmospheric Temperature Profile from Historical Data and Ground-Based Observations by Using a machine Learning Algorithm
Retrieval of Chlorophyll-a Concentrations Using Sentinel-2 MSI Imagery in Lake Chagan Based on Assessments with machine Learning Models
Retrieval of Daily Reference Evapotranspiration for Croplands in South Korea Using machine Learning with Satellite Images and Numerical Weather Prediction Data
Retrieval of Desert Microwave Land Surface Emissivity Based on machine Learning Algorithms
Retrieval of Farmland Surface Soil Moisture Based on Feature Optimization and machine Learning
Retrieval of Fine-Grained PM2.5 Spatiotemporal Resolution Based on Multiple machine Learning Models
Retrieval of Forest Vertical Structure from PolInSAR Data by machine Learning Using LIDAR-Derived Features
Retrieval of Hyperspectral Surface Reflectance Based on machine Learning
Retrieval of Land-Use/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan via Landsat Datasets and Support Vector machine Framework
Retrieval of machine-printed Latin documents through Word Shape Coding
Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data
Retrieval of oceanic chlorophyll concentration using support vector machines
Retrieval of the Top n Matches with Support Vector machines
Retrieval of Total Phosphorus Concentration in the Surface Water of Miyun Reservoir Based on Remote Sensing Data and machine Learning Algorithms
Retrieval of Water Quality from UAV-Borne Hyperspectral Imagery: A Comparative Study of machine Learning Algorithms
Retrieval of Water Quality Parameters Based on Near-Surface Remote Sensing and machine Learning Algorithm
Retrieval of Water Quality Parameters in Dianshan Lake Based on Sentinel-2 MSI Imagery and machine Learning: Algorithm Evaluation and Spatiotemporal Change Research
Retrieving Phytoplankton Size Class from the Absorption Coefficient and Chlorophyll A Concentration Based on Support Vector machine
Retrieving SPAD Values of Summer Maize Using UAV Hyperspectral Data Based on Multiple machine Learning Algorithm
Reusability of the Output of Map-Matching Algorithms Across Space and Time Through machine Learning
Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using machine Learning Techniques
Review of Human-machine Cooperation in the Robotics Domain, A
Review of Human-machine Interfaces for Small Unmanned Systems With Robotic Manipulators
Review of machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
Review of machine Learning-Based Recognition of Sign Language, A
Review of machine Vision Applications in Unmanned Underwater Vehicles
Review of surface defect detection of steel products based on machine vision
Review of the application of machine learning to the automatic semantic annotation of images
Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in machine Learning, A
Review on Natural Disaster Detection in Social Media and Satellite Imagery Using machine Learning and Deep Learning, A
Reweighted Extreme Learning machine-Based Clutter Suppression and Range Compensation Algorithm for Non-Side-Looking Airborne Radar
RGB Calibration for Color Image-Analysis in machine Vision
Rice Crop Detection Using LSTM, Bi-LSTM, and machine Learning Models from Sentinel-1 Time Series
Rice Seedling Detection in UAV Images Using Transfer Learning and machine Learning
Riemannian manifold-based support vector machine for human activity classification in images
Riemannian manifold-valued part-based features and geodesic-induced kernel machine for activity classification dedicated to assisted living
Rise of the Autonomous machines
risk-averse learning machine via variance-dependent penalization, A
RO-SVM: Support Vector machine with Reject Option for Image Categorization
Road-Sign Detection and Recognition Based on Support Vector machines
Robot Authority in Human-machine Teams: Effects of Human-Like Appearance on Compliance
Robot guidance using machine vision
robot that keeps it simple: Hello robot wants to reinvent how autonomous machines perform tasks at home, A
Robot Trajectory Planning Using OLP and Structured Light 3D machine Vision
Robots, Love, and Sex: The Ethics of Building a Love machine
Robust Boltzmann machines for recognition and denoising
Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition
Robust Data-Driven Framework for Driver Behavior Profiling Using Supervised machine Learning
Robust Error Detection Mechanism for H.264/AVC Coded Video Sequences Based on Support Vector machines, A
Robust face detection and hand posture recognition in color images for human-machine interaction
Robust face recognition under partial occlusion based on support vector machine with local Gaussian summation kernel
Robust Fall Detection Using Human Shape and Multi-class Support Vector machine
Robust Head Pose Estimation by machine Learning
Robust Hyperspectral Classification Using Relevance Vector machine
Robust Industrial machine Sounds Identification Based on Frequency Spectrum Analysis
Robust least squares one-class support vector machine
Robust machine Learning Approach for Signal Separation and Classification, A
Robust Model for Traffic Signs Recognition Based on Support Vector machines, A
Robust one-class support vector machine with rescaled hinge loss function
Robust outdoor stereo vision SLAM for heavy machine rotation sensing
Robust Road Marking Detection and Recognition Using Density-Based Grouping and machine Learning Techniques
Robust shared feature learning for script and handwritten/machine-printed identification
robust shot transition detection method based on support vector machine in compressed domain, A
Robust sign language recognition by combining manual and non-manual features based on conditional random field and support vector machine
Robust solutions to fuzzy one-class support vector machine
Robust support vector machine with bullet hole image classification
Robust support vector machines based on the rescaled hinge loss function
Robust tracking with per-exemplar support vector machine
Robust twin support vector machine for pattern classification
Robust Visual Knowledge Transfer via Extreme Learning machine-Based Domain Adaptation
Rock Layer Classification and Identification in Ground-Penetrating Radar via machine Learning
Role of machine Learning in Game Development Domain: A Review of Current Trends and Future Directions, The
Role of Subclasses in machine Diagnostics, The
Roman Alphabet -- machine Printed
Rotation Invariant Face Detection using Spectral Histograms and Support Vector machines
Rotation invariant texture classification using directional filter bank and support vector machine
Rotation-Based Support Vector machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples
Roughness and Reflection in machine Vision
RPM 2.0: RF-Based Pose machines for Multi-Person 3D Pose Estimation
RPM: RF-Based Pose machines
Rule Extraction from Support Vector machines: Measuring the Explanation Capability Using the Area under the ROC Curve
safe sample screening rule for Laplacian twin parametric-margin support vector machine, A
SAFE: machine Unlearning With Shard Graphs
SafePredict: A Meta-Algorithm for machine Learning That Uses Refusals to Guarantee Correctness
Sample-based regularization for support vector machine classification
SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop-Livestock Systems Using Deep and machine Learning Algorithms
SAR Image Change Detection Based on Correlation Kernel and Multistage Extreme Learning machine
Sargassum Detection Using machine Learning Models: A Case Study with the First 6 Months of GOCI-II Imagery
Satellite and machine Learning Monitoring of Optically Inactive Water Quality Variability in a Tropical River
Satellite Derived Bathymetry Using machine Learning and Multi-Temporal Satellite Images
Satellite Retrieval of Air Pollution Changes in Central and Eastern China during COVID-19 Lockdown Based on a machine Learning Model
Satellite-Based Spatio-Temporal machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain, A
Scalable and compact 3D action recognition with approximated RBF kernel machines
Scalable Face Image Coding via StyleGAN Prior: Toward Compression for Human-machine Collaborative Vision
Scalable geometric hashing on MasPar machines
Scalable Image Coding for Humans and machines
Scalable image quality assessment with 2D mel-cepstrum and machine learning approach
Scalable learning for restricted Boltzmann machines
Scalable machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data, A
Scalable non-linear Support Vector machine using hierarchical clustering
Scalable Parallel Implementations of Perceptual Grouping on Connection machine CM-5
Scale-Adaptive Face Detection and Tracking in Real Time with SSR Filters and Support Vector machine
Scale-Invariance of Support Vector machines based on the Triangular Kernel
scaling problem in the pattern recognition approach to machine translation, The
Scaling-up Support Vector machines Using Boosting Algorithm
Scene Grammar in Human and machine Recognition of Objects and Scenes
Sea Surface Salinity Inversion Model for Changjiang Estuary and Adjoining Sea Area with SMAP and MODIS Data Based on machine Learning and Preliminary Application
Secondary Precipitation Estimate Merging Using machine Learning: Development and Evaluation over Krishna River Basin, India
Securing IoT Based Maritime Transportation System Through Entropy-Based Dual-Stack machine Learning Framework
Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme Learning machine
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning
Seeing machines
Segmentation Methods for Recognition of machine-Printed Characters
Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths
Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector machines
Segmentation of multispectral remote sensing images using active support vector machines
Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector machine-Based Method
Segmentation of ultrasonic images using Support Vector machines
Segmentation robust to the vignette effect for machine vision systems
Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector machine, A
Segmenting Brain Tumors with Conditional Random Fields and Support Vector machines
Segmenting human knee cartilage automatically from multi-contrast MR images using support vector machines and discriminative random fields
Segmenting Images with Support Vector machines
Segmenting Text Images with Massively Parallel machines
Seismic Time Section Analysis Using machine Vision
Seismic Time Section Analysis using machine Vision
Selecting training points for one-class support vector machines
Selection and Fusion of Similarity Measure Based Classifiers Using Support Vector machines
Selective Transfer machine for Personalized Facial Action Unit Detection
Selective Transfer machine for Personalized Facial Expression Analysis
Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines
self-adaptive phase-segmentation and health assessment framework for point machines, A
Self-Defense-Technologies for Automated Teller machines
Semantic classification of movie scenes using finite state machines
Semantic Concept Classification by Joint Semi-supervised Learning of Feature Subspaces and Support Vector machines
Semantics of object representation in machine learning
Semantics of Voids within Data: Ignorance-Aware machine Learning
Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised machine Learning Approaches
Semi-Automatic Oil Spill Detection on X-Band Marine Radar Images Using Texture Analysis, machine Learning, and Adaptive Thresholding
Semi-Automatization of Support Vector machines to Map Lithium (Li) Bearing Pegmatites
semi-supervised support vector machine for texture segmentation, A
Semismooth Newton support vector machine
Semisupervised One-Class Support Vector machines for Classification of Remote Sensing Data
Sensitivity Analysis of machine Learning Models for the Mass Appraisal of Real Estate. Case Study of Residential Units in Nicosia, Cyprus
Sensitivity analysis of support vector machine in classification of hyperspectral imagery
Sensitivity of Support Vector machines to Random Feature Selection in Classification of Hyperspectral Data
Sensor Fusion for Monitoring machine-Tool Conditions
Sensor Fusion II: Human and machine Strategies
Sensors for machine Vision, Image Sensors
Sensors, Features, and machine Learning for Oil Spill Detection and Monitoring: A Review
Sentinel-1 Image Classification for City Extraction Based On The Support Vector machine and Random Forest Algorithms
Sentinel-1 to NDVI for Agricultural Fields Using Hyperlocal Dynamic machine Learning Approach
Sentinel-2 and Spot-7 Images in machine Learning Frameworks for Super-resolution
Sentinel-2 Image Scene Classification: A Comparison between Sen2Cor and a machine Learning Approach
Sentinel-2A Image Fusion Using a machine Learning Approach
Separated Medial Surface Extraction from CT Data of machine Parts
Separating Figure from Ground with a Boltzmann machine
Separating handwritten material from machine printed text using hidden Markov models
Sequential Minimal Optimization Algorithm for the All-Distances Support Vector machine, A
Sequential vs. batch machine-learning with evolutionary hyperparameter optimization for segmenting aortic dissection thrombus
set of new Chebyshev kernel functions for support vector machine pattern classification, A
Set Operations on Closed Intervals and Their Applications to the Automatic Programming of Morphological machines
Set-Membership Type-1 Fuzzy Logic System Applied to Fault Classification in a Switch machine
Shallow Landslide Prediction Using a Novel Hybrid Functional machine Learning Algorithm
Shallow Water Bathymetry Mapping from Uav Imagery Based On machine Learning
Shape Boltzmann machine: A Strong Model of Object Shape, The
Shape group Boltzmann machine for simultaneous object segmentation and action classification
Shape in machine Vision
Shape Part Slot machine: Contact-Based Reasoning for Generating 3D Shapes from Parts, The
Shape-based image retrieval using support vector machines, Fourier descriptors and self-organizing maps
Ship Collision Avoidance Navigation Signal Recognition via Vision Sensing and machine Forecasting
Signal discrimination using a support vector machine for genetic syndrome diagnosis
Signal Generation using 1d Deep Convolutional Generative Adversarial Networks for Fault Diagnosis of Electrical machines
Signal Processing and machine Learning Techniques for Terahertz Sensing: An overview
Signature Segmentation from machine Printed Documents Using Conditional Random Field
Significant Improvement in Soil Organic Carbon Estimation Using Data-Driven machine Learning Based on Habitat Patches
Similarity Constrained Latent Support Vector machine: An Application to Weakly Supervised Action Classification
Similarity Domains machine for Scale-Invariant and Sparse Shape Modeling
Similarity-driven sequence classification based on support vector machines
simple decomposition algorithm for support vector machines with polynomial-time convergence, A
Simple Ensemble of Extreme Learning machine
simplified multi-class support vector machine with reduced dual optimization, A
Simulated Multispectral Imagery for Tree Species Classification Using Support Vector machines
Simulation of the cosmonaut-robot System Interaction On the Lunar Surface Based On Methods of machine Vision And Computer Graphics
Simulation of Two-Dimensional One-Marker Automata by Three-Way Turing machines, The
Simulations of Snowmelt Runoff in a High-Altitude Mountainous Area Based on Big Data and machine Learning Models: Taking the Xiying River Basin as an Example
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines
Single Array Approach for Infrasound Signal Discrimination from Quarry Blasts via machine Learning, A
Single Object Tracking With Fuzzy Least Squares Support Vector machine
Single-Stage Multi-Person Pose machines
Site Selection of Digital Signage in Beijing: A Combination of machine Learning and an Empirical Approach
Site Selection Prediction for Coffee Shops Based on Multi-Source Space Data Using machine Learning Techniques
Situation Awareness Framework for Multi-machine Environments: An Application to Operator Assistive Collision Warning System
Sketch Assisted Face Image Coding for Human and machine Vision: A Joint Training Approach
Skin Cancer Diagnosis Using an Improved Ensemble machine Learning model
Skin Complications of Diabetes Mellitus Revealed by Polarized Hyperspectral Imaging and machine Learning
Skull Segmentation in MRI by a Support Vector machine Combining Local and Global Features
Slope Failure Prediction Using Random Forest machine Learning and LiDAR in an Eroded Folded Mountain Belt
Small Brains, Smart machines: From Fly Vision to Robot Vision and Back Again
Smart Homecare Surveillance System: Behavior Identification Based on State-Transition Support Vector machines and Sound Directivity Pattern Analysis
Smart Sensing in machine Vision
Smart Sensing with a Pyramid Vision machine
Smart Tour Route Planning Algorithm Based on Naive Bayes Interest Data Mining machine Learning
Smart Urban Cadastral Map Enrichment: A machine Learning Method
Smartphone Transportation Mode Recognition Using a Hierarchical machine Learning Classifier and Pooled Features From Time and Frequency Domains
Snow Coverage Mapping by Learning from Sentinel-2 Satellite Multispectral Images via machine Learning Algorithms
Snow Depth Fusion Based on machine Learning Methods for the Northern Hemisphere
Social Cognitive and Affective Neuroscience in Human-machine Systems: A Roadmap for Improving Training, Human-Robot Interaction, and Team Performance
Social Functions of machine Emotional Expressions
Social Media Data Processing and Analysis By Means of machine Learning For Rapid Detection, Assessment and Mapping the Impact of Disasters
SOFM improves a real time quality assurance machine vision system, A
Soft clustering using weighted one-class support vector machines
Soft Margin Bayes-Point-machine Classification via Adaptive Direction Sampling
Soil Salinity Mapping Using machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China
Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)
Soil-Permittivity Estimation Under Grassland Using machine-Learning and Polarimetric Decomposition Techniques
Solving Satisfiability via Boltzmann machines
Some Remarks on the Use of Color in machine Vision
Sonar Image Composition for Semantic Segmentation Using machine Learning
Sound Speed Inversion Based on Multi-Source Ocean Remote Sensing Observations and machine Learning
Sound-Based Fault Diagnosis Method for Railway Point machines Based on Two-Stage Feature Selection Strategy and Ensemble Classifier, A
Soya Yield Prediction on a Within-Field Scale Using machine Learning Models Trained on Sentinel-2 and Soil Data
Soybean seed composition prediction from standing crops using PlanetScope satellite imagery and machine learning
Space Hierarchies of Two-Dimensional Alternating Turing machines, Pushdown Automata and Counter Automata
Space-Time machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe
Spaceborne GNSS-R for Sea Ice Classification Using machine Learning Classifiers
Spaceborne GNSS-R Retrieving on Global Soil Moisture Approached By Support Vector machine Learning
Spaceborne GNSS-R Wind Speed Retrieval Using machine Learning Methods
Sparse edit propagation for high resolution image using support vector machines
Sparse extreme learning machine classifier exploiting intrinsic graphs
Sparse fooling images: Fooling machine perception through unrecognizable images
Sparse Kernel machines for Discontinuous Registration and Nonstationary Regularization
Sparse Lq-norm least squares support vector machine with feature selection
Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images
Sparse Support Matrix machine
Sparse Support Vector machine Approach to Region-Based Image Categorization, A
sparsity driven kernel machine based on minimizing a generalization error bound, A
Spatial Analysis of Flood Hazard Zoning Map Using Novel Hybrid machine Learning Technique in Assam, India
Spatial and Temporal Human Settlement Growth Differentiation with Symbolic machine Learning for Verifying Spatial Policy Targets: Assiut Governorate, Egypt as a Case Study
Spatial Decision Support Systems with Automated machine Learning: A Review
Spatial Determinants of Real Estate Appraisals in The Netherlands: A machine Learning Approach
Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and machine Learning Approaches over ShanDian River Basin, China
Spatial Downscaling of Land Surface Temperature Based on a Multi-Factor Geographically Weighted machine Learning Model
Spatial Inference machines
Spatial Modeling of Asthma-Prone Areas Using Remote Sensing and Ensemble machine Learning Algorithms
Spatial Modeling of Snow Avalanche Using machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions
Spatial Pattern Extraction and Recognition Toolbox Supporting machine Learning Applications on Large Hydroclimatic Datasets, A
Spatial Prediction of Aftershocks Triggered by a Major Earthquake: A Binary machine Learning Perspective
Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using machine Learning
Spatial Prediction of Wildfire Susceptibility Using Hybrid machine Learning Models Based on Support Vector Regression in Sydney, Australia
Spatial-Contextual Support Vector machine for Remotely Sensed Image Classification, A
Spatial-Temporal Analysis of Land Cover Change at the Bento Rodrigues Dam Disaster Area Using machine Learning Techniques
Spatial-Temporal Distribution of the Freeze-Thaw Cycle of the Largest Lake (Qinghai Lake) in China Based on machine Learning and MODIS from 2000 to 2020
Spatio-Temporal Analysis of Wetland Changes Using a Kernel Extreme Learning machine Approach
Spatio-Temporal machine Learning Analysis of Social Media Data and Refugee Movement Statistics
Spatio-Temporal Prediction of the Epidemic Spread of Dangerous Pathogens Using machine Learning Methods
Spatio-Temporal Variation Characteristics of Aboveground Biomass in the Headwater of the Yellow River Based on machine Learning
Spatio-Temporal Variation of Cyanobacteria Blooms in Taihu Lake Using Multiple Remote Sensing Indices and machine Learning
Spatiotemporal Assessment of Forest Fire Vulnerability in China Using Automated machine Learning
Spatiotemporal Modeling of Urban Growth Using machine Learning
Spatiotemporal Variations of Global Human-Perceived Heatwave Risks and their Driving Factors Based on machine Learning
Spatiotemporal Weighted for Improving the Satellite-Based High-Resolution Ground PM2.5 Estimation Using the Light Gradient Boosting machine
Speaker Identification and Verification Using Support Vector machines and Sparse Kernel Logistic Regression
Speaker Recognition by machines and Humans: A tutorial review
Speaker Verification Using Accumulative Vectors with Support Vector machines
Speaking the Same Language: Matching machine to Human Captions by Adversarial Training
Special issue MLAAI: machine learning and applications in artificial intelligence
Special issue on Advanced machine Vision
Special Issue on machine Vision
Special Issue Review: Artificial Intelligence and machine Learning Applications in Remote Sensing
Special issue: British machine Vision Conference 1992
Special Issue: British machine Vision Conference 1993
Special Issue: British machine Vision Conference 1994
Special Issue: British machine Vision Conference 1995
Special section on Advances in machine Vision Beyond the Visible Spectrum (BVS)
Special Section on Artificial Neural Networks for machine Vision
Special Section on Frontiers in machine Vision Applications: Introduction
Special Section on machine Vision Applications
Specific Land Cover Class Mapping by Semi-Supervised Weighted Support Vector machines
Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using machine Learning and Radiative Kernel-Based Inversion
Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning machine
Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector machines and Adaptive Markov Random Fields
Spectral-Spatial Hyperspectral Image Classification with Superpixel Pattern and Extreme Learning machine
Spectral-Spatial-Aware Unsupervised Change Detection With Stochastic Distances and Support Vector machines
Spectrum Evaluation on Multispectral Images by machine Learning Techniques
Speech Bandwidth Extension Using Recurrent Temporal Restricted Boltzmann machines
Speed control of Switched Reluctance machine using fuzzy controller and neural network
Speed-Up Scheme Based on Multiple-Instance Pruning for Pedestrian Detection Using a Support Vector machine, A
Speeding up Support Vector machine (SVM) image classification by a kernel series expansion
SRTM DEM Correction Using Ensemble machine Learning Algorithm
Stable clinical prediction using graph support vector machines
stable multi-scale kernel for topological machine learning, A
Stacks of convolutional Restricted Boltzmann machines for shift-invariant feature learning
Standard Gives machine Vision Systems a New Image
Standard Gives machine Vision Systems a New Image
State Identification of Duffing Oscillator Based on Extreme Learning machine
State-of-the-Art in Smart Contact Lenses for Human-machine Interaction
Static Object Detection Based on a Dual Background Model and a Finite-State machine
Static region classification using hierarchical finite state machine
Statistical and machine Learning Models for Remote Sensing Data Mining: Recent Advancements
Statistical machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review
Statistical machine Translation as a Language Model for Handwriting Recognition
Statistical machine Translation for Speech: A Perspective on Structures, Learning, and Decoding
Statistical machine translation of subtitles for highly inflected language pair
Statistical Texture Analysis-Based Approach for Fake Iris Detection Using Support Vector machines
Steerable Wavelet machines (SWM): Learning Moving Frames for Texture Classification
SteganoPIN: Two-Faced Human-machine Interface for Practical Enforcement of PIN Entry Security
Stereo machine for Video-Rate Dense Depth Mapping and Its New Applications, A
Stereovision matching through support vector machines
Stimulating Research into Gestural Human machine Interaction
stochastic optimization approach for parameter tuning of support vector machines, A
Storm-Time Relative Total Electron Content Modelling Using machine Learning Techniques
Strategic image denoising using a support vector machine with seam energy and saliency features
Strategy of active learning support vector machine for image retrieval
Stratiform and Convective Rain Classification Using machine Learning Models and Micro Rain Radar
Structural nonparallel support vector machine for pattern recognition
Structure Inference machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
Structure Transfer machine: Theory and Applications, The
Structured Computer Vision: machine Perception through Hierarchical Computational Structures
Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to machine Learning
Structured Output Prediction with Support Vector machines
Structured Scene Decoding with Finite State machines
STSIC: Swin-transformer-based scalable image coding for human and machine
study and identification of COVID-19 viruses using N-grams with Naive Bayes, K-Nearest Neighbors, Artificial Neural Networks, Decision tree and Support Vector machine, A
Study of Driving Factors Using machine Learning to Determine the Effect of Topography, Climate, and Fuel on Wildfire in Pakistan
Study Of Prediction Methods Based On machine Learning Techniques For Lossless Image Coding, A
Study on a Fire Detection System Based on Support Vector machine
Study on feature extraction of high speed precision electric machine vibration signal
Study on roadbed disease recognition algorithm based on support vector machine
Study on SARS-CoV-2 (COVID-19) and machine Learning Based Approach to Detect COVID-19 Through X-Ray Images, A
Study on Several machine-Learning Methods for Classification of Malignant and Benign Clustered Microcalcifications, A
Study on the Uncertainty of machine Learning Model for Earthquake-Induced Landslide Susceptibility Assessment
Sub-Mu-M Registration of Fiducial Marks Using machine Vision
Subject-Object Discrimination in 4D-Dynamic Scene Interpretation for machine Vision
subspace approach to face detection with support vector machines, A
Subspace learning machine (SLM): Methodology and performance evaluation
Subsurface Characterization With Support Vector machines
Subtidal Natural Hard Substrate Quantitative Habitat Mapping: Interlinking Underwater Acoustics and Optical Imagery with machine Learning
Sufficient Statistics Feature Mapping over Deep Boltzmann machine for Detection
Sugarcane Yield Mapping Using High-Resolution Imagery Data and machine Learning Technique
Suggestive Modeling for machine Vision
Suitability of machine-Learning Algorithms for the Automatic Acoustic Seafloor Classification of Hard Substrate Habitats in the German Bight, The
Super efficient decoding of color JPEG images on RISC machines
Superior PM2.5 Estimation by Integrating Aerosol Fine Mode Data from the Himawari-8 Satellite in Deep and Classical machine Learning Models
Supervised Classification of Hyperspectral Images Using Local-Receptive-Fields-Based Kernel Extreme Learning machine
Supervised hashing with extreme learning machine
Supervised machine Learning Algorithms for Ground Motion Time Series Classification from InSAR Data
Supervised machine Learning Approaches on Multispectral Remote Sensing Data for a Combined Detection of Fire and Burned Area
Support Blob machines: The Sparsification of Linear Scale Space
Support Kernel machines for Object Recognition
Support subsets estimation for support vector machines retraining
Support Tensor machines for Classification of Hyperspectral Remote Sensing Imagery
Support tucker machines
Support Vector machine Accuracy Assessment for Extracting Green Urban Areas in Towns
Support vector machine and back propagation neutral network approaches for trip mode prediction using mobile phone data
Support Vector machine and Decision Tree Based Classification Of Side-scan Sonar Mosaics Using Textural Features
Support Vector machine and duration-aware conditional random field for identification of spatio-temporal activity patterns by combined indoor positioning and heart rate sensors
Support Vector machine and Its Application in Handwritten Numeral Recognition
Support Vector machine and Neural Network Classification of Metallic Objects Using Coefficients of the Spheroidal MQS Response Modes
Support Vector machine Approach for Detection and Localization of Transmission Errors Within Standard H.263++ Decoders, A
support vector machine approach for detection of microcalcifications in mammograms, A
support vector machine approach for detection of microcalcifications, A
support vector machine approach for object based image analysis, A
Support Vector machine Approach to Cardiac SPECT Diagnosis
Support vector machine approach to fall recognition based on simplified expression of human skeleton action and fast detection of start key frame using torso angle
Support Vector machine Based Multi-View Face Detection and Recognition
Support Vector machine Based Online Learning Approach for Automated Visual Inspection, A
Support Vector machine Based Spectrum Allocation Scheme for the Mobile Cognitive Radio Manhattan City Environments
Support vector machine classification combined with multimodal magnetic resonance imaging in detection of patients with schizophrenia
Support Vector machine Classification Of Object-based Data For Crop Mapping, Using Multi-temporal Landsat Imagery
Support Vector machine Classifier via L_0/1 Soft-Margin Loss
Support Vector machine Classifier With Pinball Loss
Support vector machine classifier with truncated pinball loss
Support vector machine combined with magnetic resonance imaging for accurate diagnosis of paediatric pancreatic cancer
Support Vector machine for Multifrequency SAR Polarimetric Data Classification
Support vector machine fusion of multisensor imagery in tropical ecosystems
Support Vector machine Learning for Image Retrieval
Support Vector machine Regression for Robust Speaker Verification in Mismatching and Forensic Conditions
Support Vector machine with External Recurrences for Modeling Dynamic Cerebral Autoregulation
Support vector machine with local summation kernel for robust face recognition
Support vector machine with orthogonal Chebyshev kernel
Support Vector machine with Weighted Summation Kernel Obtained by Adaboost
Support vector machine-based approach for text description from the video
Support Vector machine-Based Blind Equalization for High-Order QAM With Short Data Length
Support Vector machine-Based Dynamic Network for Visual Speech Recognition Applications, A
Support Vector machine-Based Endmember Extraction
Support vector machine-based image classification for genetic syndrome diagnosis
Support vector machine-based macro-block mode decision in MPEG-2 video compression
Support vector machine-based text detection in digital video
Support Vector machines
Support Vector machines and Kernel Methods: The New Generation of Learning Machines
Support Vector machines and Kernel Methods: The New Generation of Learning Machines
Support Vector machines for 3D Object Recognition
Support Vector machines for Camera Calibration Problem
Support Vector machines for Face Authentication
Support vector machines for face recognition
Support vector machines for face recognition with two-layer generated virtual data
Support Vector machines for Histogram-Based Image Classification
Support Vector machines for HIV-1 Protease Cleavage Site Prediction
Support Vector machines for Mathematical Symbol Recognition
Support Vector machines for Pattern Classification
Support vector machines for quality monitoring in a plastic injection molding process
Support Vector machines for Road Extraction from Remotely Sensed Images
Support vector machines for robust trajectory clustering
Support Vector machines for Texture Classification
Support vector machines for traffic signs recognition
Support vector machines for urban growth modeling
Support Vector machines for Vegetation Classification A Revision
Support Vector machines for Visual Gender Classification
Support Vector machines in face recognition with occlusions
Support vector machines in remote sensing: A review
Support vector machines resilient against training data integrity attacks
Support Vector machines to Define and Detect Agitation Transition
Support Vector machines Training Data Selection Using a Genetic Algorithm
Support Vector machines with Different Norms: Motivation, Formulations and Results
Support vector machines with time series distance kernels for action classification
Support Vector machines, SVM
Support Vector machines, SVM, Applied to Recognition
Support Vector machines, SVM, Feature Selection
Support Vector machines, SVM, Incremental, Multi-Step
Support Vector machines, SVM, One-Class Classification
Support Vector machines, SVM, Surveys, Reviews, General
Supporting visual quality assessment with machine learning
Surface Crack Extraction Method Based on machine Learning of Image and Quantitative Feature Information Acquisition Method, The
Surface Inspection techniques: Using the Integration of Innovative machine Vision and Graphical Modelling Techniques
Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and machine Learning Algorithms
Surface Shortwave Net Radiation Estimation from Landsat TM/ETM+ Data Using Four machine Learning Algorithms
Surface Soil Moisture Retrieval on Qinghai-Tibetan Plateau Using Sentinel-1 Synthetic Aperture Radar Data and machine Learning Algorithms
Surgical Tool Datasets for machine Learning Research: A Survey
Survey About the Cyberbullying Problem on Social Media by Using machine Learning Approaches, A
survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities, A
survey of recent developments in theoretical neuroscience and machine vision, A
survey on machine learning from few samples, A
Survey on Non-Autoregressive Generation for Neural machine Translation and Beyond, A
Survey on Statistical Modeling and machine Learning Approaches to Computer Assisted Medical Intervention: Intraoperative Anatomy Modeling and Optimization of Interventional Procedures, A
Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning machine
SVD-Based Quality Metric for Image and Video Using machine Learning
SVM with OpenCL: High performance implementation of support vector machines on heterogeneous systems
Synchronization of oscillations for machine perception of gaits
synchronous dataflow machine: a computer architecture for real time image processing, The
Synergetic Brain-machine Interfacing Paradigm for Multi-DOF Robot Control, A
Synergistic Application of Multiple machine Learning Algorithms and Hyperparameter Optimization Strategies for Net Ecosystem Productivity Prediction in Southeast Asia
Syntactic/Geometric Approach to Recognition of Dimensions in Engineering machine Drawings, A
System and method for counting parts in multiple fields of view using machine vision
System for Handwritten and machine-Printed Text Separation in Bangla Document Images, A
System for multimodal biometric recognition based on finger knuckle and finger vein using feature-level fusion and k-support vector machine classifier
Systematic Evaluation of machine Translation Methods for Image and Video Annotation
Systematic Methodology for Determining/Optimizing a machine Vision System's Capability, A
Systematic Review on Imbalanced Data Challenges in machine Learning: Applications and Solutions, A
T-AutoML: Automated machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging
Tablet identification using support vector machine based text recognition and error correction by enhanced n-grams algorithm
Tackling Climate Change with machine Learning
Tackling Contradiction Detection in German Using machine Translation and End-to-End Recurrent Neural Networks
Tackling Face Verification Edge Cases: In-Depth Analysis and Human-machine Fusion Approach
Talking to machines
Tangent distance kernels for support vector machines
Targeting Plastics: machine Learning Applied to Litter Detection in Aerial Multispectral Images
Tarragona Graph Database for machine Learning Based on Graphs
Task-Driven Video Compression for Humans and machines: Framework Design and Optimization
Teaching Computer Programming with Mathematics for Generating Digital Videos and machine Learning Optimization
Teaching machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks
Techniques For 3-D machine Perception
Techniques for Calibration of the Scale Factor and Image Center for High Accuracy 3-D machine Vision Metrology
Technology innovations and product design issues in machine vision: The Technical Arts Corporation experience
Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via machine Learning Regression
Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data
Tensor Voting: A Perceptual Organization Approach to Computer Vision and machine Learning
Terrain Modeling Using machine Learning Methods
Test generation algorithm for analog systems based on support vector machine
text-based visual context modulation neural model for multimodal machine translation, A
Text-independent speaker verification with ant colony optimization feature selection and support vector machine
Text2Sign: Towards Sign Language Production Using Neural machine Translation and Generative Adversarial Networks
Texture Classification and Segmentation Algorithms in Man and machine
Texture classification using the support vector machines
Texture Defect Detection Using Support Vector machines with Adaptive Gabor Wavelet Features
Texture inspection for defects using neural networks and support vector machines
Texture synthesis by Support Vector machines
Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm
Theoretical Approach for Forecasting Different Types of Drought Simultaneously, Using Entropy Theory and machine-Learning Methods, A
Theory and Applications of Clifford Support Vector machines
Thermal Imagery Feature Extraction Techniques and the Effects on machine Learning Models for Smart HVAC Efficiency in Building Energy
Thermal imaging method to evaluate childhood obesity based on machine learning techniques
Thermokarst Lake Susceptibility Assessment Induced by Permafrost Degradation in the Qinghai-Tibet Plateau Using machine Learning Methods
Three-Dimensional Location Estimation of Circular Features for machine Vision
Three-Dimensional machine Vision
Three-dimensional machine vision and machine-learning algorithms applied to quality control of percussion caps
Three-dimensional machine vision and machine-learning algorithms applied to quality control of percussion caps
Three-Dimensional Object Recognition on the Connection machine
Three-Dimensional Sensing, Graphics, and Interactive Control in a Human-machine System for Decontamination and Decommissioning Applications
Tiered-Color Illumination Approach for machine Inspection of Solder Joints, A
Tillage machine Control Based on a Vision System for Soil Roughness and Soil Cover Estimation
Time Series Analysis of Land Cover Change Using Remotely Sensed and Multisource Urban Data Based on machine Learning: A Case Study of Shenzhen, China from 1979 to 2022
Time Series Classification Using Support Vector machine with Gaussian Elastic Metric Kernel
Tire Force Estimation in Intelligent Tires Using machine Learning
Tire-Road Peak Adhesion Coefficient Estimation Method Based on Fusion of Vehicle Dynamics and machine Vision
To Be Bernoulli or to Be Gaussian, for a Restricted Boltzmann machine
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using machine Learning
Token Turing machines
Tongue-Movement Communication and Control Concept for Hands-Free Human-machine Interfaces
Topo-CXR: Chest X-ray TB and Pneumonia Screening with Topological machine Learning
Torch3vision: machine Vision Library
Torch: machine-Learning Library
Totally Looks Like: How Humans Compare, Compared to machines
Toward a generic representation of random variables for machine learning
Toward a Stage-wise Classification of Date Palm White Scale Disease using Features Extraction and machine Learning Techniques
Toward an Enhanced Human-machine Interface for Upper-Limb Prosthesis Control With Combined EMG and NIRS Signals
Toward Automated Classroom Observation: Multimodal machine Learning to Estimate CLASS Positive Climate and Negative Climate
Toward Automated machine Learning-Based Hyperspectral Image Analysis in Crop Yield and Biomass Estimation
Toward machine Emotional Intelligence: Analysis of Affective Physiological State
Toward Multi-Stage Phenotyping of Soybean with Multimodal UAV Sensor Data: A Comparison of machine Learning Approaches for Leaf Area Index Estimation
Toward Nonconventional Human-machine Interfaces for Supervisory Plant Process Monitoring
Toward Occlusion Handling in Visual Tracking via Probabilistic Finite State machines
Towards 3D object detection with bimodal deep Boltzmann machines over RGBD imagery
Towards a new method for classifying employee performance using machine learning algorithms
Towards a Theory of Motion Understanding in Man and machine
Towards a Unified Quadrature Framework for Large-Scale Kernel machines
Towards Active machine-Vision-Based Driver Assistance for Urban Areas
Towards assessing agricultural land suitability with causal machine learning
Towards Automated Target Picking in Scalar Magnetic Unexploded Ordnance Surveys: An Unsupervised machine Learning Approach for Defining Inversion Priors
Towards Benthic Habitat 3D Mapping Using machine Learning Algorithms and Structures from Motion Photogrammetry
Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector machines
Towards Coding for Human and machine Vision: Scalable Face Image Coding
Towards Communicative Face Occlusions: machine Detection of Hand-over-Face Gestures
Towards Condition Analysis for machine Vision Based Traffic Sign Inventory
Towards Human-machine Cooperation: Self-Supervised Sample Mining for Object Detection
Towards human-machine dialog in Slovak
Towards improving fuzzy clustering using support vector machine: Application to gene expression data
Towards Man-machine Interfaces: Combining Top-down Constraints with Bottom-up Learning in Facial Analysis
Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine learning emulators
Towards the Parody machine. Qualitative Analysis and Cognitive Processes in the Parody of a Politician
TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition
Traditional machine Learning for Pitch Detection
Traditional vs. machine-Learning Methods for Forecasting Sandy Shoreline Evolution Using Historic Satellite-Derived Shorelines
Traffic sign classification using invariant features and Support Vector machines
Traffic Sign Recognition Using Kernel Extreme Learning machines With Deep Perceptual Features
Training algorithms for fuzzy support vector machines with noisy data
Training machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction
Training Neural Networks by Lifted Proximal Operator machines
Training restricted Boltzmann machines: An introduction
Training Support Vector machines on Large Sets of Image Data
Training Support Vector machines with privacy-protected data
Training Support Vector machines, SVM Training, Learning
Training Support Vector machines: An Application to Face Detection
Transductive polyhedral conic classifiers for machine learning applications
Transductive Transfer machine
Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset
Transferability of Recursive Feature Elimination (RFE)-Derived Feature Sets for Support Vector machine Land Cover Classification
Transformation model estimation of image registration via least square support vector machines
Transformation-invariant Indexing and machine Discovery for Computer Vision
Translating a Visual LEGO Manual to a machine-Executable Plan
transputer-based shuffle-shift machine for image processing and reconstruction, A
TransTIC: Transferring Transformer-based Image Compression from Human Perception to machine Perception
Travel Mode Choice Prediction Using Imbalanced machine Learning
Tree Species Classification in Mixed Deciduous Forests Using Very High Spatial Resolution Satellite Imagery and machine Learning Methods
Tree Species Classification Using Hyperion and Sentinel-2 Data with machine Learning in South Korea and China
Trip Purpose Imputation Using GPS Trajectories with machine Learning
Tropical Forest and Wetland Losses and the Role of Protected Areas in Northwestern Belize, Revealed from Landsat and machine Learning
Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning
Tumor Lesion Segmentation from 3D PET Using a machine Learning Driven Active Surface
Tunable VVC Frame Partitioning Based on Lightweight machine Learning
Tuning Support Vector machines for Minimax and Neyman-Pearson Classification
Twin Support Vector machine based Regression
Twin Support Vector machines for Pattern Classification
Two Criteria for Model Selection in Multiclass Support Vector machines
Two Dimensional Optimal Edge Recognition Using Matched and Weiner Filters for machine Vision
Two Methodologies to Implement 3D Thinning Algorithms on Distributed Memory machines
Two Pyramid machine Algorithms for Edge Detection in Noisy Binary Images
Two Schemas for Online Character Recognition of Telugu Script Based on Support Vector machines
two-level committee machine: a representation and a learning procedure for general piecewise linear discriminant functions, A
two-level real-time vision machine combining coarse- and fine-grained parallelism, A
Two-Step machine Learning Approach for Crop Disease Detection Using GAN and UAV Technology, A
Two-Subcycle Thinning Algorithm and Its Parallel Implementation on SIMD machines, A
UAS and machine Learning Classification Approach to Suitability Prediction of Expanding Natural Habitats for Endangered Flora Species, A
UAV Data as an Alternative to Field Sampling to Monitor Vineyards Using machine Learning Based on UAV/Sentinel-2 Data Fusion
UAV image analysis for leakage detection in district heating systems using machine learning
UAV Multispectral Image-Based Urban River Water Quality Monitoring Using Stacked Ensemble machine Learning Algorithms: A Case Study of the Zhanghe River, China
UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by machine Learning Techniques
UAV- and machine Learning-Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening
UAV-Based Disease Detection in Palm Groves of Phoenix canariensis Using machine Learning and Multispectral Imagery
UAV-Based Estimation of Grain Yield for Plant Breeding: Applied Strategies for Optimizing the Use of Sensors, Vegetation Indices, Growth Stages, and machine Learning Algorithms
UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and machine Learning
UK British machine Vision Workshop
Ultrasound Imaging System for Control of an Automated Carcass Splitting machine, An
Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and machine Learning: A Comparison of Pixel and Object-Based Approaches
Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by machine Learning Models
Uncertainty-aware twin support vector machines
Unconstrained large margin distribution machines
Understanding Autism Using machine Learning: A Structural MRI Study
Understanding drivers' route choice behaviours in the urban network with machine learning models
Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and machine Learning
Understanding Historical Cityscapes from Aerial Imagery Through machine Learning
Understanding Landslide Susceptibility in Northern Chilean Patagonia: A Basin-Scale Study Using machine Learning and Field Data
Understanding More About Human and machine Attention in Deep Neural Networks
Understanding shape: perspectives from natural and machine vision
Understanding the Drivers of Mobility during the COVID-19 Pandemic in Florida, USA Using a machine Learning Approach
unified extreme learning machines and discriminative random fields for automatic knee cartilage and meniscus segmentation from multi-contrast MR images, The
Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
Unravelling the Relationship Between Microseisms and Spatial Distribution of Sea Wave Height by Statistical and machine Learning Approaches
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann machine
Unsupervised and Supervised Visual Codes with Restricted Boltzmann machines
Unsupervised Domain Adaptation for Neural machine Translation
unsupervised image segmentation algorithm based on the machine learning of appropriate features, An
Unsupervised machine Learning for GNSS Reflectometry Inland Water Body Detection
Unsupervised machine Learning on Domes in the Lunar Gardner Region: Implications for Dome Classification and Local Magmatic Activities on the Moon
Unsupervised Multi-Modal Neural machine Translation
Unsupervised Regions Segmentation: Real Time Control of an Upkeep machine of Natural Spaces
Unsupervised Rotation Factorization in Restricted Boltzmann machines
Unveiling Image Classifiers: An In-Depth Comparative Exploration of machine Learning Algorithms
Update Relevant Image Weights for Content-Based Image Retrieval Using Support Vector machines
Urban Flood Risk Assessment through the Integration of Natural and Human Resilience Based on machine Learning Models
Urban Growth Forecast Using machine Learning Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq
Urban-Rural Gradients Predict Educational Gaps: Evidence from a machine Learning Approach Involving Academic Performance and Impervious Surfaces in Ecuador
Use of Airborne Radar Images and machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest
Use of C-Band and X-Band SAR with machine Learning for Detecting Small-Scale Mining, The
Use of Deep machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution, The
Use of machine Learning Algorithms in Urban Tree Species Classification, The
Use of machine Learning Methods to Detect Defects in Images of Metal Structures, The
Use of machine Learning Techniques for Rapid Detection, Assessment And Mapping The Impact of Disasters On Transport Infrastructure
Use of machine Learning to Improve the Robustness of Spatial Estimation of Evapotranspiration
Use of Multivariate machine Learning Analysis Techniques for Flood Risk Prevention
use of single-date MODIS imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine learning techniques, The
Use of the Area Under the ROC Curve in the Evaluation of machine Learning Algorithms, The
Use Remote Sensing and machine Learning to Study the Changes of Broad-Leaved Forest Biomass and Their Climate Driving Forces in Nature Reserves of Northern Subtropics
User Authentication based on Face Recognition with Support Vector machines
User Localisation for Visually-Based Human-machine-Interaction
Using an Interpretable machine Learning Framework to Understand the Relationship of Mobility and Reliability Indices on Truck Drivers' Route Choices
Using distance transform to solve real-time machine vision inspection problems
Using fuzzy least squares support vector machine with metric learning for object tracking
Using GIS and machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings
Using GIS, Remote Sensing, and machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential
Using GPUs for machine learning algorithms
Using Graph-Theoretic machine Learning to Predict Human Driver Behavior
Using Linear Regression, Random Forests, and Support Vector machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn
Using machine Learning Algorithm to Detect Blowing Snow and Fog in Antarctica Based on Ceilometer and Surface Meteorology Systems
Using machine Learning for Content-Based Image Retrieving
Using machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland
Using machine Learning to Extract Building Inventory Information Based on LiDAR Data
Using machine Learning to Map Western Australian Landscapes for Mineral Exploration
Using machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care
Using machine Vision and Hand-Motion Control to Improve Crane Operator Performance
Using machine-Learning for the Damage Detection of Harbour Structures
Using Marching Cubes on Small machines
Using Multi-modal machine Learning for User Behavior Prediction in Simulated Smart Home for Extended Reality
Using Multi-Temporal Landsat Images and Support Vector machine to Assess the Changes in Agricultural Irrigated Areas in the Mogtedo Region, Burkina Faso
Using OpenStreetMap Data and machine Learning to Generate Socio-Economic Indicators
Using Polynomial Kernel Support Vector machines for Speaker Verification
Using Remote Sensing and machine Learning to Locate Groundwater Discharge to Salmon-Bearing Streams
Using robust dispersion estimation in support vector machines
Using Sentinel-2 Imagery and machine Learning Algorithms to Assess the Inundation Status of Nebraska Conservation Easements during 2018-2021
Using Statistical Measures and machine Learning for Graph Reduction to Solve Maximum Weight Clique Problems
Using Support Vector machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events
Using Support Vector machines for Face Authentication Based on Elastic Graph Matching
Using Support Vector machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication
Using the Creation machine to Locate Airplanes on Aerial Photos
Using theoretical ROC curves for analysing machine learning binary classifiers
Using Virtual Scenarios to Produce machine Learnable Environments For Wildfire Detection and Segmentation
Using Wavelet Support Vector machine for Classification of Hyperspectral Images
Utilization of synthetic minority oversampling technique for improving potato yield prediction using remote sensing data and machine learning algorithms with small sample size of yield data
Utilizing Hyperspectral Reflectance and machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves
Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images
Validation of machine Learning Techniques: Decision Trees and Finite Training Set
Validation of Visually Interpreted CORINE Land Cover Classes with Spectral Values of Satellite Images and machine Learning
validation study of a fixed-based, medium fidelity driving simulator for human-machine interfaces visual distraction testing, A
Variance inflation in high dimensional Support Vector machines
Vector-Based Arc Segmentation in the machine Drawing Understanding System Environment
Vegetation-Ice-Bare Land Cover Conversion in the Oceanic Glacial Region of Tibet Based on Multiple machine Learning Classifications
Vehicle automatic driving system based on embedded and machine learning
Vehicle License Plate Recognition Based on Extremal Regions and Restricted Boltzmann machines
Vehicle logo recognition by weighted multi-class support vector machine ensembles based on sharpness histogram features
Vehicle-Based machine Vision Approaches in Intelligent Connected System
Verb-driven machine reading comprehension with dual-graph neural network
Verifying machine Vision Systems by Digital Montage
Versatile Camera Calibration Technique for High-Accuracy 3D machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses, A
Versatile machine Vision System for Complex Industrial Parts, A
Vertically Resolved Global Ocean Light Models Using machine Learning
Very High Resolution Land Use and Land Cover Mapping Using Pleiades-1 Stereo Imagery and machine Learning
Very High-Resolution Imagery and machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types
VICAP: Using the mechanisms of trans-saccadic memory to distinguish between humans and machines
Video aesthetic quality assessment using kernel Support Vector machine with isotropic Gaussian sample uncertainty (KSVM-IGSU)
Video Coding for machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Video Concept Detection Using Support Vector machine with Augmented Features
Video Event Detection Using Kernel Support Vector machine with Isotropic Gaussian Sample Uncertainty (KSVM-iGSU)
Video Manipulations Beyond Faces: A Dataset with Human-machine Analysis
Video Pivoting Unsupervised Multi-Modal machine Translation
Video Program Clustering Indexing Based on Face Recognition Hybrid Model of Hidden Markov Model and Support Vector machine
video Time Encoding machine, A
Video, Text, and Speech-Driven Realistic 3-D Virtual Head for Human-machine Interface, A
Video-based Markerless Body machine Interface: A Pilot Study, A
View planning for verification using machine vision
View-Based Recognition of Faces in Man and machine: Re-visiting Inter-extra-Ortho
Vineyard Zoning and Vine Detection Using machine Learning in Unmanned Aerial Vehicle Imagery
Violin Timbre Navigator: Real-Time Visual Feedback of Violin Bowing Based on Audio Analysis and machine Learning
Virtual Support Vector machines with self-learning strategy for classification of multispectral remote sensing imagery
VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and machine Learning for Classification of Predicted Chemometrics of Green Lettuce
Vision by Man and machine
Vision in Man and machine
Vision-Based Multisensor machine Perception System for Autonomous Aircraft Landing Approach
Vision-based traffic accident detection using sparse spatio-temporal features and weighted extreme learning machine
Vision-Guided Robot Grows Up: A Look at the New machine Vision Technology for Robots, The
Visual debugging for a pyramidal machine
Visual Learning of Weight from Shape Using Support Vector machines
Visual object tracking with online learning on Riemannian manifolds by one-class support vector machines
Visual representation decoding from human brain activity using machine learning: A baseline study
Visual Speech Recognition Using Dynamic Features And Support Vector machines
Visual tracking of deepwater animals using machine learning-controlled robotic underwater vehicles
Visual-Based Person Detection for Search-and-Rescue with UAS: Humans vs. machine Learning Algorithm
Visualization and machine learning analysis of complex networks in hyperspherical space
VLSI Implementation of Fast Connected Component Labeling Using Finite State machine Based Cell Network
Voice Activity Detection Using Wavelet-Based Multiresolution Spectrum and Support Vector machines and Audio Mixing Algorithm
Voting-Near-Extreme-Learning-machine Classification Algorithm, A
VQA-machine: Learning How to Use Existing Vision Algorithms to Answer New Questions, The
Wanted: HI-RES, surgery-free brain interfaces: DARPA aims to develop wearable devices that let soldiers communicate directly with machines
Warp machine on Navlab, The
Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods
Wavelet Frame Accelerated Reduced Support Vector machines
Wavelet Scattering Network-Based machine Learning for Ground Penetrating Radar Imaging: Application in Pipeline Identification
Wavelet Support Vector machine
Wavelet-Based Coarse-to-Fine Image Matching Scheme in A Parallel Virtual machine Environment, A
Wavetf: A Fast 2d Wavelet Transform for machine Learning in Keras
We Built an Unbelievable (but Legal) Facial Recognition machine
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann machines
Web scale photo hash clustering on a single machine
Web-Based Learning of Naturalized Color Models for Human-machine Interaction
Weibull Multiplicative Model and machine Learning Models for Full-Automatic Dark-Spot Detection from SAR Images
weighted least squares support vector machine based on covariance matrix, A
Weighted linear loss multiple birth support vector machine based on information granulation for multi-class classification
Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and machine-Learning Perspective
Wet and Dry Snow Detection Using Sentinel-1 SAR Data for Mountainous Areas with a machine Learning Technique
What are the Visual Features Underlying Human Versus machine Vision?
What machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
Wheat Lodging Detection from UAS Imagery Using machine Learning Algorithms
Wheel Defect Detection With machine Learning
When machine Learning is Facially Invalid
When Traditional Selection Fails: How to Improve Settlement Selection for Small-Scale Maps Using machine Learning
Who are My Family Members? A Solution Based on Image Processing and machine Learning
Why Progress in machine Vision Is so Slow
Wide-Field Scanning Triangulation Rangefinder for machine Vision, A
Width optimization of RBF kernels for binary classification of support vector machines: A density estimation-based approach
Wild Patterns: Ten Years After the Rise of Adversarial machine Learning
Wildfire Risk Assessment in Liangshan Prefecture, China Based on An Integration machine Learning Algorithm
Wildland Fire Tree Mortality Mapping from Hyperspatial Imagery Using machine Learning
Wind Direction Retrieval Using Support Vector machine from CYGNSS Sea Surface Data
Wireless capsule endoscopy video summarization: A learning approach based on Siamese neural network and support vector machine
Wireless Tomography in Noisy Environments Using machine Learning
Withdrawn: Adaptive multiclass support vector machine for multimodal data analysis
Within-class penalty based multi-class support vector machine
Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and machine Learning Approach
word extraction algorithm for machine-printed documents using a 3D neighborhood graph model, A
word spotting framework for historical machine-printed documents, A
Workshop of Adversarial machine Learning on Computer Vision: Art of Robustness
Workshop on Computer Architectures for machine Perception
Workshop on Computer Architectures for Pattern Analysis and machine Intelligence
Workshop on Texture Analysis in machine Vision
Wrapper feature selection method based differential evolution and extreme learning machine for intrusion detection system
YOLOv3-based human detection and heuristically modified-LSTM for abnormal human activities detection in ATM machine
Zoning Earthquake Casualty Prediction Model Based on machine Learning, A
3986 for machine

_machined_
Analysis of machined Feature Recognition Techniques Based on B-Rep
Defect identification on specular machined surfaces
Fast and Accurate machined Surface Rendering Using an Octree Model
Feasibility assessment of vision-based surface roughness parameters acquisition for different types of machined specimens
Performance evaluation of various texture analysis techniques for machine vision-based characterisation of machined surfaces
Sensing Strategy for the Reverse Engineering of machined Parts, A
Specular-Reduced Imaging for Inspection of machined Surfaces
Statistical-Methods to Compare the Texture Features of machined Surfaces
Texture Anaysis of machined Surfaces using a new Hough Transform
Tool condition classification using Hidden Markov Model based on fractal analysis of machined surface textures
Tool wear monitoring using a fast Hough transform of images of machined surfaces
Visual Inspection of machined Metallic High-Precision Surfaces
Visual Inspection of machined Parts
13 for machin

_machinery_
Capturing Industrial machinery into Virtual Reality
Design and Evaluation of a Controller to Achieve Optimum Seeding Rate With Specific Spatial Management in Agricultural machinery
Design of an ICT convergence farm machinery for an automatic agricultural planter
Fault Diagnosis of Rotating machinery Based on a Mutual Dimensionless Index and a Convolution Neural Network, A
Feature extraction for novelty detection as applied to fault detection in machinery
Harmonic wavelet packets method and its application to signal analysis of rotating machinery
Human Detection Framework for Heavy machinery, A
Improving Anomaly Detection Fusion Method of Rotating machinery Based on ANN and Isolation Forest
Intelligent Condition Diagnosis Method for Rotating machinery Based on Probability Density and Discriminant Analyses
New Method for Fault Diagnosis of Rotating machinery Based on Harmonic Wavelet Filtering, A
Prediction of Yield Productivity Zones from Landsat 8 and Sentinel-2A/B and Their Evaluation Using Farm machinery Measurements
Remote machinery maintenance system with the use of virtual reality
RPAS Based Tracking of machinery Used in Asphalt Paving Process
Signal analysis for rotating machinery vibrations
Sparsity-assisted signal representation for rotating machinery fault diagnosis using the tunable Q-factor wavelet transform with overlapping group shrinkage
15 for machinery

_machinic_
Seeing the World Through machinic Eyes: Reflections on Computer Vision in the Arts

_machining_
Computer Vision and Classification Techniques on the Surface Finish Control in machining Processes
Effective NC machining simulation with OptiX ray tracing engine
Inspection -- Metal Inspection, Castings, machining
Intelligent Sensor Fusion System for Tool Monitoring on a machining Center, An
Mapping the Levels of Soil Salination and Alkalization by Integrating machining Learning Methods and Soil-Forming Factors
Nonlinear Ultrafast Focal-Point Optics for Microscopic Imaging, Manipulation, and machining
Sensor Data Modeling and Model Frequency Analysis for Detecting Cutting Tool Anomalies in machining
Spatter Tracking in Laser machining
Surface Finish Control in machining Processes Using Haralick Descriptors and Neuronal Networks
9 for machining

Index for "m"


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