Index for regre

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Anchor3DLane: Learning to regress 3D Anchors for Monocular 3D Lane Detection
BARC: Learning to regress 3D Dog Shape from Images by Exploiting Breed Information
Indoor Positioning Using Convolution Neural Network to regress Camera Pose
Learning to regress 3D Face Shape and Expression From an Image Without 3D Supervision
Learning to regress Bodies from Images using Differentiable Semantic Rendering
NeRF-Pose: A First-Reconstruct-Then-regress Approach for Weakly-supervised 6D Object Pose Estimation
regressed Importance Sampling on Manifolds for Efficient Object Tracking
Robust Text Detection with Vertically-regressed Proposal Network
8 for regress

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Face Alignment at 3000 FPS via regressing Local Binary Features
Face Alignment via regressing Local Binary Features
regressing a 3D Face Shape from a Single Image
regressing Local to Global Shape Properties for Online Segmentation and Tracking
regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network

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2D Feature Selection by Sparse Matrix regression
2D Image head pose estimation via latent space regression under occlusion settings
2D/3D image registration using regression learning
3-D Epanechnikov Mixture regression in integral imaging compression
3-D Facial Landmark Localization With Asymmetry Patterns and Shape regression from Incomplete Local Features
360° Surface regression with a Hyper-Sphere Loss
3D face reconstruction from images under arbitrary illumination using Support Vector regression
3D Face Shape regression From 2D Videos with Multi-Reconstruction and Mesh Retrieval
3D Facial Landmark Localization Using Combinatorial Search and Shape regression
3D facial landmark localization using texture regression via conformal mapping
3D Fiber Segmentation with Deep Center regression and Geometric Clustering
3D holoscopic image coding scheme using HEVC with Gaussian process regression
3D Human Body Reconstruction from a Single Image via Volumetric regression
3D Human Mesh regression With Dense Correspondence
3D Human Pose Estimation from a Single Image via Distance Matrix regression
3D human pose from silhouettes by relevance vector regression
3D Human Pose regression Using Graph Convolutional Network
3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven regression and Classification
3D Motion from Image Derivatives Using the Least Trimmed Square regression
3D Object Pose Estimation with Dense Sample Images Discussions about Limitation of Parameter Estimation Ability by the Linear regressions
3D Pose Estimation of a Front-Pointing Hand Using a Random regression Forest
3D Pose regression Using Convolutional Neural Networks
3D shape recovery from image focus using kernel regression in eigenspace
3D Statistical Shape Models Incorporating Landmark-Wise Random regression Forests for Omni-Directional Landmark Detection
3D tubular structure extraction using kernel-based superellipsoid model with Gaussian process regression
4D Epanechnikov Mixture regression in LF Image Compression
6 DoF Pose regression via Differentiable Rendering
6-DOF Model Based Tracking via Object Coordinate regression
6D Relocalisation for RGBD Cameras Using Synthetic View regression
A+: Adjusted Anchored Neighborhood regression for Fast Super-Resolution
A2J: Anchor-to-Joint regression Network for 3D Articulated Pose Estimation From a Single Depth Image
Above-bottom biomass retrieval of aquatic plants with regression models and SfM data acquired by a UAV platform-A case study in Wild Duck Lake Wetland, Beijing, China
Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using regression Kriging and Landsat 9 Images
Abundant Inverse regression Using Sufficient Reduction and Its Applications
Accelerating Convolutional Neural Networks with Dominant Convolutional Kernel and Knowledge Pre-regression
Acceleration of Non-Rigid Point Set Registration With Downsampling and Gaussian Process regression
Accurate 3D Body Shape regression using Metric and Semantic Attributes
Accurate Arbitrary-Shaped Scene Text Detection via Iterative Polynomial Parameter regression
Accurate bounding-box regression with distance-IoU loss for visual tracking
Accurate Head Pose Estimation Based on Multi-Stage regression
Accurate Object Detection with Joint Classification-regression Random Forests
Accurate Pedestrian Detection by Human Pose regression
Accurate regression Procedures for Active Appearance Models
Accurate regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices
Accurate Segmentation of CT Male Pelvic Organs via regression-Based Deformable Models and Multi-Task Random Forests
Accurate Sparse Feature regression Forest Learning for Real-Time Camera Relocalization
Accurate static pose estimation combining direct regression and geodesic extrema
Accurate traffic light detection using deep neural network with focal regression loss
ACN: Occlusion-tolerant face alignment by attentional combination of heterogeneous regression networks
Acoustic Echo Control with Frequency-Domain Stage-Wise regression
ACR Loss: Adaptive Coordinate-based regression Loss for Face Alignment
Action recognition using Correlogram of Body Poses and spectral regression
Action-Conditioned Convolutional Future regression Models for Robot Imitation Learning
Active appearance model search using partial least squares regression
Active learning for high-density crowd count regression
Active Learning for regression With Correlation Matching and Labeling Error Suppression
Adaptive Cascade regression Model For Robust Face Alignment
Adaptive cascaded regression
Adaptive cluster rendering via regression analysis
Adaptive Contrast for Image regression in Computer-Aided Disease Assessment
Adaptive Effective Wiener Filter- and regression-Based Upsampling for Asymmetric Resolution Stereoscopic Video Coding
Adaptive error prediction method based on multiple linear regression for reversible data hiding
Adaptive graph regularization method based on least square regression for clustering
adaptive group LASSO based multi-label regression approach for facial expression analysis, An
Adaptive Laplacian eigenfunctions as bases for regression analysis
Adaptive linear models for regression: Improving prediction when population has changed
Adaptive Linear regression for Appearance-Based Gaze Estimation
Adaptive Local Linear regression With Application to Printer Color Management
Adaptive local nonparametric regression for fast single image super-resolution
Adaptive Locality Preserving based Discriminative regression
Adaptive Locality Preserving regression
Adaptive Medical Image Denoising Using Support Vector regression
Adaptive Mixture regression Network with Local Counting Map for Crowd Counting
Adaptive Non-Negative Geographically Weighted regression for Population Density Estimation Based on Nighttime Light
Adaptive nonstationary regression analysis
Adaptive Random Testing for Image Comparison in regression Web Testing
Adaptive rate control using nonlinear regression
Adaptive Sampling of Pareto Frontiers with Binary Constraints Using regression and Classification
Adaptive Sparse Bayesian regression with Variational Inference for Parameter Estimation
Adaptive sparse polynomial regression for camera lens simulation
adaptive support vector regression based on a new sequence of unified orthogonal polynomials, An
Adaptive Transfer Kernel Learning for Transfer Gaussian Process regression
Adaptive weighted learning for linear regression problems via Kullback-Leibler divergence
Adaptive Wing Loss for Robust Face Alignment via Heatmap regression
Adaptive-weighting discriminative regression for multi-view classification
Additive Logistic regression Applied to Retina Modelling
adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering, An
Adjusted Non-Local regression and Directional Smoothness for Image Restoration
Adversarial Learning Semantic Volume for 2D/3D Face Shape regression in the Wild
Adversarial Networks for Camera Pose regression and Refinement
Aerosol Optical Thickness Retrieval from Satellite Observation Using Support Vector regression
Aesthetic guided deep regression network for image cropping
Affect Estimation in 3D Space Using Multi-Task Active Learning for regression
Affine-Transformation Parameters regression for Face Alignment
Age Estimation by LS-SVM regression on Facial Images
Age estimation using Active Appearance Models and Support Vector Machine regression
Age Progression/regression by Conditional Adversarial Autoencoder
Age regression Based on Local Image Features
Age regression from faces using random forests
Age regression from Soft Aligned Face Images Using Low Computational Resources
Age regression with Specific Facial Landmarks by Dual Discriminator Adversarial Autoencoder
AGORA: Avatars in Geography Optimized for regression Analysis
algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods, An
Alternating regression Forests for Object Detection and Pose Estimation
Ambiguity Concept and Switching regression Models
AMTnet: Action-Micro-Tube regression by End-to-end Trainable Deep Architecture
Analysis of Groundwater Nitrate Contamination in the Central Valley: Comparison of the Geodetector Method, Principal Component Analysis and Geographically Weighted regression
Analysis of human attractiveness using manifold kernel regression
Analysis of Land Development Drivers Using Geographically Weighted Ridge regression
Analysis of Post-Mining Vegetation Development Using Remote Sensing and Spatial regression Approach: A Case Study of Former Babina Mine (Western Poland)
Analysis of Sketched IRLS for Accelerated Sparse Residual regression, An
Analysis of Urban Vitality in Nanjing Based on a Plot Boundary-Based Neural Network Weighted regression Model
Analysis of Winter Anomaly and Annual Anomaly Based on regression Approach
Anatomical parts-based regression using non-negative matrix factorization
Anchored neighborhood regression based single image super-resolution from self-examples
Anchored Neighborhood regression for Fast Example-Based Super-Resolution
Anchored regression Networks Applied to Age Estimation and Super Resolution
Antipodally Invariant Metrics for Fast regression-Based Super-Resolution
Appearance Based Pose Estimation of 3D Object Using Support Vector regression
Appearance Variation Insensitive State regression for Visual Tracking
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric regression
Application of Mixture regression for Improved Polarimetric SAR Speckle Filtering
Application of Ordinary Kriging and regression Kriging Method for Soil Properties Mapping in Hilly Region of Central Vietnam
Application of Piece-Wise regression to Detecting Internal Structure of Signal
Application of Robust regression for Exterior Orientation of Video Images
Application of Softmax regression And Its Validation for Spectral-based Land Cover Mapping
Application of Spectral Index-Based Logistic regression to Detect Inland Water in the South Caucasus
Application of Support Vector regression and Metaheuristic Optimization Algorithms for Groundwater Potential Mapping in Gangneung-si, South Korea
Applying Fuzzy Linear regression to Understand Metacognitive Judgments in a Human-in-the-Loop Simulation Environment
Applying logistic regression to relevance feedback in image retrieval systems
Approximate Orthogonal Distance regression Method for Fitting Quadric Surfaces to Range Data
Approximate Sparse Multinomial Logistic regression for Classification
Approximation Algorithm for Least Median of Squares regression, An
Architectural Style Classification Using Multinomial Latent Logistic regression
Area-to-point regression kriging for pan-sharpening
ASiam: adaptive Siamese regression tracking with adversarial template generation and motion-based failure recovery
Assessment of perfusion by dynamic contrast-enhanced imaging using a deconvolution approach based on regression and singular value decomposition
Assessment of Polynomial regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery, An
Assessment of regression Models for Predicting Rice Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery
Assessment of the Degree of Building Damage Caused by Disaster Using Convolutional Neural Networks in Combination with Ordinal regression
Asymmetric, Non-unimodal Kernel regression for Image Processing
Atmospheric Phase Screen Compensation in Ground-Based SAR With a Multiple-regression Model Over Mountainous Regions
Augmented Multiple Instance regression for Inferring Object Contours in Bounding Boxes
Auto-Correlation Wavelet Support Vector Machine and Its Applications to regression
Auto-Weighted Structured Graph-Based regression Method for Heterogeneous Change Detection
Automated age regression for personalized IPTV services
Automated segmentation and area estimation of neural foramina with boundary regression model
Automatic cystocele severity grading in transperineal ultrasound by random forest regression
Automatic detection and segmentation of blood vessels and pulmonary nodules based on a line tracking method and generalized linear regression model
Automatic detection of Mura defect in TFT-LCD based on regression diagnostics
Automatic face modeling from monocular image sequences using a modified non parametric regression and an affine camera model
Automatic false edge elimination using locally adaptive regression kernel
Automatic grayscale image colorization using histogram regression
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded regression
Automatic personality prediction from audiovisual data using random forest regression
Automatic Registration Between Dental Cone-Beam CT and Scanned Surface via Deep Pose regression Neural Networks and Clustered Similarities
Automatic Velocity Analysis Using a Hybrid regression Approach With Convolutional Neural Networks
Back-Analysis of Slope GNSS Displacements Using Geographically Weighted regression and Least Squares Algorithms
Balanced MSE for Imbalanced Visual regression
BARC: Breed-Augmented regression Using Classification for 3D Dog Reconstruction from Images
Bayesian Hierarchical regression Models for QoE Estimation and Prediction in Audiovisual Communications
Bayesian Inverse regression for Vascular Magnetic Resonance Fingerprinting
Bayesian Kriging regression Method to Estimate Air Temperature Using Remote Sensing Data, A
Bayesian logistic regression in pattern recognition problems under concept drift, The
Bayesian logistic regression with sparse general representation prior for multispectral image classification
Bayesian nonparametric Multiple Instance regression
Bayesian Poisson regression for crowd counting
Bayesian regression selecting valuable subset from mixed bag training data
Bayesian Structural Time Series and Geographically Weighted Logistic regression Modelling Impacts of COVID-19 Lockdowns on the Spatiotemporal Patterns of London's Crimes
Bayesian Uncertainty and Expected Gradient Length - regression: Two Sides Of The Same Coin?
benchmark and comparison of active learning for logistic regression, A
Beyond RANSAC: User Independent Robust regression
Bi-box regression for Pedestrian Detection and Occlusion Estimation
Bi-modal regression for Apparent Personality trait Recognition
Bias-Compensated Integral regression for Human Pose Estimation
Bilateral Ordinal Relevance Multi-instance regression for Facial Action Unit Intensity Estimation
Bilateral Weighted regression Ranking Model With Spatial-Temporal Correlation Filter for Visual Tracking
Bilinear Kernel Reduced Rank regression for Facial Expression Synthesis
Biomarker Localization From Deep Learning regression Networks
Biometrics on visual preferences: A pump and distill regression approach
Biophysical Variable Retrieval of Silage Maize with Gaussian Process regression and Hyperparameter Optimization Algorithms
Biternion Nets: Continuous Head Pose regression from Discrete Training Labels
Blind Image Quality Assessment Based on Rank-Order Regularized regression
Blind Image Quality Assessment via Vector regression and Object Oriented Pooling
Block Minorization-Maximization Algorithm for Heteroscedastic regression, A
Block-Coordinate Gauss-Newton Optimization and Constrained Monotone regression for Image Registration in the Presence of Outlier Objects
Block-Coordinate Gauss-Newton/regression Method for Image Registration with Efficient Outlier Detection
Blockwise Linear regression for Face Alignment
Blue Whitish Veil, Atypical Vascular Pattern and regression Structures Detection in Skin Lesions Images
Body Part regression With Self-Supervision
Boosted regression Active Shape Models
Boosting deep attribute learning via support vector regression for fast moving crowd counting
Boosting performance and speed of single-image super-resolution based on partitioned linear regression
Boosting performance for 2D Linear Discriminant Analysis via regression
boosting regression approach to medical anatomy detection, A
Bottom-Up Human Pose Estimation Via Disentangled Keypoint regression
Bounding box regression with balance for harmonious object detection
Bounding Box regression With Uncertainty for Accurate Object Detection
Brain tumor detection and patient survival prediction using U-Net and regression model
Bregman distance to L1 regularized logistic regression
Bucketing Techniques in Robust regression for Computer Vision
Building a hybrid land cover map with crowdsourcing and geographically weighted regression
BundleMAP: Anatomically localized classification, regression, and hypothesis testing in diffusion MRI
Burned area estimations derived from Landsat ETM+ and OLI data: Comparing Genetic Programming with Maximum Likelihood and Classification and regression Trees
Calibrated Multivariate regression Networks
Calibrating Classification Probabilities with Shape-Restricted Polynomial regression
Calibrating probabilistic predictions of quantile regression forests with conformal predictive systems
Camera Pose Auto-encoders for Improving Pose regression
Camera Pose Filtering with Local regression Geodesics on the Riemannian Manifold of Dual Quaternions
Camera Relocalization by Exploiting Multi-View Constraints for Scene Coordinates regression
CAMRL: A Joint Method of Channel Attention and Multidimensional regression Loss for 3D Object Detection in Automated Vehicles
Canopy Height Estimation in French Guiana with LiDAR ICESat/GLAS Data Using Principal Component Analysis and Random Forest regressions
Canopy Hyperspectral Sensing of Paddy Fields at the Booting Stage and PLS regression can Assess Grain Yield
Capsule-Based regression Tracking via Background Inpainting
CapsuleRRT: Relationships-aware regression Tracking via Capsules
CARN: Convolutional Anchored regression Network for Fast and Accurate Single Image Super-Resolution
CART/CMAC hybrid: regression trees with interpolation
Cascade support vector regression-based facial expression-aware face frontalization
Cascaded Collaborative regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting
Cascaded Continuous regression for Real-Time Incremental Face Tracking
Cascaded hand pose regression
Cascaded Nonlinear Shape Model regression
Cascaded pose regression
Cascaded regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation
Cascaded regression Tracking: Towards Online Hard Distractor Discrimination
Cascaded regression using landmark displacement for 3D face reconstruction
Cascaded regression with sparsified feature covariance matrix for facial landmark detection
Cascades of regression Tree Fields for Image Restoration
CAT: Corner Aided Tracking With Deep regression Network
causal discovery algorithm using multiple regressions, A
Cell Counting by regression Using Convolutional Neural Network
Census regression classification for face recognition against different variations
Center-based weighted kernel linear regression for image classification
Chained-tracker: Chaining Paired Attentive regression Results for End-to-end Joint Multiple-object Detection and Tracking
Chinese High Resolution Satellite Data and GIS-Based Assessment of Landslide Susceptibility along Highway G30 in Guozigou Valley Using Logistic regression and MaxEnt Model
Circular and Linear regression: Fitting Circles and Lines by Least Squares
Circular regression Applied to GNSS-R Phase Altimetry
Circular regression Based on Gaussian Processes
Class Generative Models Based on Feature regression for Pose Estimation of Object Categories
Class of regression-cum-ratio Estimators In Two-phase Sampling For Utilizing Information From High Resolution Satellite Data, A
Class-Specific regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography
Class-wise boundary regression by uncertainty in temporal action detection
Classification of human activity detection based on an intelligent regression model in video sequences
Classification Of Urban Aerial Data Based On Pixel Labelling With Deep Convolutional Neural Networks And Logistic regression
Classification-regression for Chart Comprehension
Client threshold prediction in biometric signature recognition by means of Multiple Linear regression and its use for score normalization
Clinical deep brain stimulation region prediction using regression forests from high-field MRI
Closed-Loop Matters: Dual regression Networks for Single Image Super-Resolution
Cloud-Free Satellite Image Mosaics with regression Trees and Histogram Matching
Cluster Low-Streams regression Method for Hyperspectral Radiative Transfer Computations: Cases of O2 A- and CO2 Bands
Clustering noisy data in a reduced dimension space via multivariate regression trees
Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure
CNN regression Approach for Real-Time 2D/3D Registration, A
Coarse-to-Fine Multi-Scene Pose regression With Transformers
Collaborative learning in bounding box regression for object detection
Collaborative regression of Expressive Bodies using Moderation
Collaborative Sparse regression for Hyperspectral Unmixing
Collaborative sparse regression using spatially correlated supports-Application to hyperspectral unmixing
Collinear groupwise feature selection via discrete fusion group regression
Color constancy based on texture pyramid matching and regularized local regression
Color Correction Using Root-Polynomial regression
Color Face Hallucination with the Linear regression Model and MPCA in HSV Space, The
Color Image Superresolution Based on a Stochastic Combinational Classification-regression Algorithm
Color Image Watermarking Using Support Vector regression
Color Kernel regression for Robust Direct Upsampling from Raw Data of General Color Filter Array
Color Management of Printers by regression over Enclosing Neighborhoods
Combination of Linear regression Lines to Understand the Response of Sentinel-1 Dual Polarization SAR Data with Crop Phenology: Case Study in Miyazaki, Japan
Combinational illumination estimation method based on image-specific PCA filters and support vector regression
Combined input variable selection and model complexity control for nonlinear regression
Combined use of partial least squares regression and neural network for diagnosis tasks
Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment
Combining Radiative Transfer Model and regression Algorithms for Estimating Aboveground Biomass of Grassland in West Ujimqin, China
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and regression by Subsampling
Combining Siamese Network and regression Network for Visual Tracking
Comparative Evaluation of Edge Linking Methods Using Markov Chain and regression Applied Heuristic
Comparing Decision Fusion Paradigms Using k-NN Based Classifiers, Decision Trees and Logistic regression in a Multi-Modal Identity Verification Application
Comparison of Advanced regression Algorithms for Quantifying Urban Land Cover, A
Comparison of Different regression Algorithms for Downscaling Monthly Satellite-Based Precipitation over North China, A
Comparison of Estimating Crop Residue Cover from Sentinel-2 Data Using Empirical regressions and Machine Learning Methods, A
Comparison of Machine-learning regression Algorithms for The Estimation of LAI Using Landsat-8 Satellite Data, A
Comparison of Multiple Linear regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data
Comparison of Multiple Linear regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data
Comparison of regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy, A
Comparison of Spatial Interpolation and regression Analysis Models for an Estimation of Monthly Near Surface Air Temperature in China
Comparison of SVM and Boosted regression Trees for the Delineation of Lacustrine Sediments using Multispectral ASTER Data and Topographic Indices in the Lake Manyara Basin
Comparison of the support vector machine and relevant vector machine in regression and classification problems
Compensation Method of Motion Features with regression for Deficient Depth Image, A
complementary regression network for accurate face alignment, A
Compositional Human Pose regression
Compositional Human Pose regression
Comprehensive Analysis of Deep regression, A
Compressed-Domain Highway Vehicle Counting by Spatial and Temporal regression
Compression Artifact Reduction using Support Vector regression
Computationally Efficient regression on a Dependency Graph for Human Pose Estimation
Computer-Aided Detection of Polyps in CT Colonography Using Logistic regression
Conditional density learning via regression with application to deformable shape segmentation
Conditional regression forests for human pose estimation
Conditioned regression Models for Non-blind Single Image Super-Resolution
Confidence Propagation through CNNs for Guided Sparse Depth regression
Consensus of regression for Occlusion-Robust Facial Feature Localization
Consistent Nonparametric regression
Constrained Deep Neural Network for Ordinal regression, A
Constrained Joint Cascade regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection
Constrained Least Squares regression in Color Spaces
Constrained monotone regression of ROC curves and histograms using splines and polynomials
Constrained regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation, A
Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic regression
Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution
Content-Based Light Field Image Compression Method With Gaussian Process regression
Context-Sensitive Dynamic Ordinal regression for Intensity Estimation of Facial Action Units
Contextual Atlas regression Forests: Multiple-Atlas-Based Automated Dose Prediction in Radiation Therapy
Continuation of Nesterov's Smoothing for regression With Structured Sparsity in High-Dimensional Neuroimaging
Continuous Conditional Neural Fields for Structured regression
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse regression
Continuous regression for Non-rigid Image Alignment
Continuous Support Vector regression for Nonstationary Streaming Data
Continuous-Space Gaussian Process regression and Generalized Wiener Filtering with Application to Learning Curves
Continuum regression for cross-modal multimedia retrieval
Contrast Invariant SNR and Isotonic regressions
Contrastive regression for Domain Adaptation on Gaze Estimation
Control Distance IoU and Control Distance IoU Loss for Better Bounding Box regression
Convergence of the Huber regression M-Estimate in the Presence of Dense Outliers
Convex Nonparanormal regression
ConvNet regression for Fingerprint Orientations
Convolutional Mesh regression for Single-Image Human Shape Reconstruction
Convolutional regression for Visual Tracking
Copula Ordinal regression for Joint Estimation of Facial Action Unit Intensity
Copula Ordinal regression Framework for Joint Estimation of Facial Action Unit Intensity
Copula-based conformal prediction for multi-target regression
CORE: A knowledge graph entity type prediction method via complex space regression and embedding
CoRe: Color regression for Multicolor Fashion Garments
CORNet: Context-Based Ordinal regression Network for Monocular Depth Estimation
Correcting document image warping based on regression of curved text lines
Correlation-attention guided regression network for efficient crowd counting
Corrigendum to An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods
cost construction via MSW and linear regression for stereo matching, A
Cost-Sensitive AdaBoost Algorithm for Ordinal regression Based on Extreme Learning Machine
Counting and Classification of Highway Vehicles by regression Analysis
Counting People in Crowded Scenes via Detection and regression Fusion
Counting People With Low-Level Features and Bayesian regression
Coupled cascade regression for simultaneous facial landmark detection and head pose estimation
Coupled Gaussian Process regression for Pose-Invariant Facial Expression Recognition
Coupled latent least squares regression for heterogeneous face recognition
Coupled Spectral regression for matching heterogeneous faces
CR-Net: A Deep Classification-regression Network for Multimodal Apparent Personality Analysis
Crisp Weighted Support Vector regression for robust single model estimation: application to object tracking in image sequences
critical review of multi-output support vector regression, A
Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares regression
Crowd Counting with Minimal Data Using Generative Adversarial Networks for Multiple Target regression
Crowd estimation using key-point matching with support vector regression
CSR: Cascade Conditional Variational Auto Encoder with Socially-aware regression for Pedestrian Trajectory Prediction
CT Prostate Deformable Segmentation by Boundary regression
CUDA-Based Parallel Geographically Weighted regression for Large-Scale Geographic Data, A
Cultural factors in the regression of non-verbal communication perception
Cumulative attribute space regression for head pose estimation and color constancy
d-Norm-Based Robust regression With Applications to Image Analysis
Daily River Discharge Estimation Using Multi-Mission Radar Altimetry Data and Ensemble Learning regression in the Lower Mekong River Basin
DARE-GRAM: Unsupervised Domain Adaptation regression by Aligning Inverse Gram Matrices
Data Reduction Using Statistical and regression Approaches for Ice Velocity Derived by Landsat-8, Sentinel-1 and Sentinel-2
Data-Driven Model-Based regression Applied to Panchromatic Sharpening, A
DCT-based image up-sampling using anchored neighborhood regression
Deblurring Using Regularized Locally Adaptive Kernel regression
Decision Forests: A Unified Framework for Classification, regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
Decomposition-based tensor learning regression for improved classification of multimedia
Decompressed video enhancement via accurate regression prior
DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression
Deep and interpretable regression models for ordinal outcomes
Deep Bimodal regression for Apparent Personality Analysis
Deep Bimodal regression of Apparent Personality Traits from Short Video Sequences
Deep Camera Pose regression Using Motion Vectors
Deep Direct regression for Multi-oriented Scene Text Detection
Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos
Deep Ensemble Sparse regression Network for Alzheimer's Disease Diagnosis
Deep fully convolutional regression networks for single image haze removal
Deep Human Parsing with Active Template regression
Deep Kinematic Pose regression
Deep Learned Cumulative Attribute regression
Deep Learning for Cerebellar Ataxia Classification and Functional Score regression
Deep Learning-Based regression and Classification for Automatic Landmark Localization in Medical Images
Deep Metric Learning for Crowdedness regression
Deep Metric Learning-Based Semi-Supervised regression with Alternate Learning
Deep Mixture of Linear Inverse regressions Applied to Head-Pose Estimation
Deep Neural Network regression for Automated Retinal Layer Segmentation in Optical Coherence Tomography Images
Deep Ordinal regression Framework for No-Reference Image Quality Assessment
Deep Ordinal regression Network for Monocular Depth Estimation
Deep Ordinal regression with Label Diversity
Deep Recurrent regression for Facial Landmark Detection
Deep regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection, A
Deep regression Bayesian Network and Its Applications: Probabilistic Deep Learning for Computer Vision, The
Deep regression by Feature Regularization for COVID-19 Severity Prediction
Deep regression for Imaging Solar Magnetograms using Pyramid Generative Adversarial Networks
Deep regression for LiDAR-based localization in dense urban areas
Deep regression Forest with Soft-Attention for Head Pose Estimation
Deep regression Forests for Age Estimation
Deep regression on Manifolds: A 3D Rotation Case Study
Deep regression Tracking with Shrinkage Loss
Deep Relation Learning for regression and Its Application to Brain Age Estimation
Deep structured-output regression learning for computational color constancy
Deep transformation models: Tackling complex regression problems with neural network based transformation models
Deep U-Net regression and Hand-Crafted Feature Fusion for Accurate Blood Vessel Segmentation
DeepGUM: Learning Deep Robust regression with a Gaussian-Uniform Mixture Model
Deeply-Initialized Coarse-to-fine Ensemble of regression Trees for Face Alignment, A
Deinterlacing Using Taylor Series Expansion and Polynomial regression
Demosaicing Based on Directional Difference regression and Efficient Regression Priors
Demosaicing Based on Directional Difference regression and Efficient Regression Priors
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable regression
Dense 3D regression for Hand Pose Estimation
Dense Disparity Maps from RGB and Sparse Depth Information Using Deep regression Models
Dense regression Network for Video Grounding
DenseReg: Fully Convolutional Dense Shape regression In-the-Wild
Density Map regression Guided Detection Network for RGB-D Crowd Counting and Localization
Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs
Depth Estimation from Monocular Images and Sparse Radar Using Deep Ordinal regression Network
Depth Map Enhancement Using Adaptive Steering Kernel regression Based on Distance Transform
Depth map estimation based on linear regression using image focus
Depth Restoration via Joint Training of a Global regression Model and CNNs
Depth Sweep regression Forests for Estimating 3D Human Pose from Images
Descriptor evaluation and feature regression for multimodal image analysis
Desertification Susceptibility Mapping Using Logistic regression Analysis in the Djelfa Area, Algeria
Design a TDCP-Smoothed GNSS/Odometer Integration Scheme with Vehicular-Motion Constraint and Robust regression, The
Detail-preserved real-time hand motion regression from depth
Detecting Changes in Grey Level Sequences by ML Isotonic regression
Detecting Spatially Non-Stationary between Vegetation and Related Factors in the Yellow River Basin from 1986 to 2021 Using Multiscale Geographically Weighted regression Based on Landsat
Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non-linear regression models: A comparison
Detection of Interstitial Lung Disease using correlation and regression methods on texture measure
Detection of Weak Signal in Chaotic Clutter Using Advanced LS-SVM regression
Determination of Protein Content of Wheat Using Partial Least Squares regression Based on Near-Infrared Spectroscopy Preprocessing
Deterministic Annealing Approach for Parsimonious Design of Piecewise regression Models, A
Developing Land-Use regression Models to Estimate PM2.5-Bound Compound Concentrations
Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable regression and Airborne LiDAR Data
Development of online machine vision system using support vector regression (SVR) algorithm for grade prediction of iron ores
Devil is in the Decoder: Classification, regression and GANs, The
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D regression Networks
DFNet: Enhance Absolute Pose regression with Direct Feature Matching
Dictionary-Free MRI PERK: Parameter Estimation via regression with Kernels
Different units of measurement of carotenoids estimation in cotton using hyperspectral indices and partial least square regression
Differentiable Spatial regression: A Novel Method for 3D Hand Pose Estimation
Digital Soil Mapping With regression Tree Classification Approaches By Rs and Geomorphometry Covariate in The Qazvin Plain, Iran
Dimensionality reduction by unsupervised regression
Dimensionality reduction of multidimensional temporal data through regression
Dimensionality reduction using covariance operator inverse regression
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional regression
Direct Multitype Cardiac Indices Estimation via Joint Representation and regression Learning
Direct regression Scene Text Detector With Position-Sensitive Segmentation, A
Direct Shape regression Networks for End-to-End Face Alignment
Direct-PoseNet: Absolute Pose regression with Photometric Consistency
Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm
Discrete-Constrained regression for Local Counting Models
Discriminative anatomy detection: Classification vs regression
Discriminative Elastic-Net Regularized Linear regression
Discriminative filter based regression learning for facial expression recognition
discriminative linear regression approach to adaptation of multi-prototype based classifiers and its applications for Chinese OCR, A
discriminative linear regression approach to OCR adaptation, A
Discriminative Marginalized Least-Squares regression for Hyperspectral Image Classification
Discriminative Noise Robust Sparse Orthogonal Label regression-Based Domain Adaptation
Distance transform regression for spatially-aware deep semantic segmentation
DistilPose: Tokenized Pose regression with Heatmap Distillation
Distributed Multi-Agent Gaussian regression via Finite-Dimensional Approximations
Diverse Conditional Image Generation by Stochastic regression with Latent Drop-Out Codes
DMRVisNet: Deep Multihead regression Network for Pixel-Wise Visibility Estimation Under Foggy Weather
DO-SA&R: Distant Object Augmented Set Abstraction and regression for Point-Based 3D Object Detection
Domain Adaptation for Structured regression
Double linear regressions for single labeled image per person face recognition
Double Relaxed regression for Image Classification
Double Reweighted Sparse regression and Graph Regularization for Hyperspectral Unmixing
Downscaling AMSR-2 Soil Moisture Data With Geographically Weighted Area-to-Area regression Kriging
Downscaling Aster Land Surface Temperature over Urban Areas with Machine Learning-Based Area-To-Point regression Kriging
Downscaling Land Surface Temperature in an Arid Area by Using Multiple Remote Sensing Indices with Random Forest regression
Downscaling of AMSR-E Soil Moisture over North China Using Random Forest regression
Downscaling of ASTER Thermal Images Based on Geographically Weighted regression Kriging
DR2S: Deep regression with Region Selection for Camera Quality Evaluation
DrawInAir: A Lightweight Gestural Interface Based on Fingertip regression
Driving Factors of Land Change in China's Loess Plateau: Quantification Using Geographically Weighted regression and Management Implications
Driving risk status prediction using Bayesian networks and logistic regression
DRPL: Deep regression Pair Learning for Multi-Focus Image Fusion
Dual Aligned Siamese Dense regression Tracker
Dual approximated nuclear norm based matrix regression via adaptive line search scheme
Dual Grid Net: Hand Mesh Vertex regression from Single Depth Maps
Dual Linear regression Based Classification for Face Cluster Recognition
Dual regression-Enhanced Gaze Target Detection in the Wild
Dual Sparse Constrained Cascade regression for Robust Face Alignment
Dynamic Attention-Controlled Cascaded Shape regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting
Dynamic random regression forests for real-time head pose estimation
Dynamic regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks, A
Dynamic Structure Embedded Online Multiple-Output regression for Streaming Data
Dynamics of the Burlan and Pomacochas Lakes Using SAR Data in GEE, Machine Learning Classifiers, and regression Methods
Early Action Prediction by Soft regression
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear regression Model
Ecological Risk Assessment and Impact Factor Analysis of Alpine Wetland Ecosystem Based on LUCC and Boosted regression Tree on the Zoige Plateau, China
Edge Tracing Using Gaussian Process regression
Edge-Based Color Constancy via Support Vector regression
Edge-moment-based color constancy using illumination-coherent regularized regression
Effective 3D object detection and regression using probabilistic segmentation features in CT images
Effective Planar Cluster Detection in Point Clouds Using Histogram-Driven Kd-Like Partition and Shifted Mahalanobis Distance Based regression
Effectiveness of Detection-based and regression-based Approaches for Estimating Mask-Wearing Ratio
Effects of Climate Change on Corn Yields: Spatiotemporal Evidence from Geographically and Temporally Weighted regression Model
Effects of Driving Factors on Forest Aboveground Biomass (AGB) in China's Loess Plateau by Using Spatial regression Models
efficient EM algorithm for two-layer mixture model of gaussian process functional regressions, An
efficient finger-vein extraction algorithm based on random forest regression with efficient local binary patterns, An
efficient gradient-based model selection algorithm for multi-output least-squares support vector regression machines, An
Efficient Image Classification via Multiple Rank regression
Efficient Image Set Classification Using Linear regression Based Image Reconstruction
Efficient model selection for kernel logistic regression
Efficient Optimization for Sparse Gaussian Process regression
Efficient Photometric Stereo Using Kernel regression
Efficient regression of General-Activity Human Poses from Depth Images
Efficient regression priors for post-processing demosaiced images
Efficient regression priors for reducing image compression artifacts
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical and biochemical traits of agricultural crops
Efficient Semi-Supervised Multimodal Hashing With Importance Differentiation regression
Efficient Structured Support Vector regression
Eigenvector Spatial Filtering-Based Logistic regression for Landslide Susceptibility Assessment
Elastic Handling of Predictor Phase in Functional regression Models
Elastic Net Regularized Logistic regression Using Cubic Majorization
Emerging Relation Network and Task Embedding for Multi-Task regression Problems
Emotionally-Relevant Features for Classification and regression of Music Lyrics
Empirical modeling using symbolic regression via postfix Genetic Programming
Empirical regression Models for Estimating Multiyear Leaf Area Index of Rice from Several Vegetation Indices at the Field Scale
End-to-End Color Printer Calibration by Total Least Squares regression
End-to-End Fovea Localisation in Colour Fundus Images With a Hierarchical Deep regression Network
End-to-End Learning of Geometry and Context for Deep Stereo regression
Energy-based Models for Deep Probabilistic regression
Energy-based Models for Deep Probabilistic regression
Enforcing Co-Expression Within a Brain-Imaging Genomics regression Framework
Enhanced Algorithm for Automatic Radiometric Harmonization Of High-resolution Optical Satellite Imagery Using Pseudoinvariant Features And Linear regression, An
Enhanced Group Sparse Regularized Nonconvex regression for Face Recognition
Enhanced nuclear norm based matrix regression for occluded face recognition
Enhancement and Detection of Convex Objects Using regression Models
Enhancement of low-resolution HEp-2 cell image classification using partial least-square regression
Enhancing Sea Surface Height Retrieval with Triple Features Using Support Vector regression
Ensemble-based local learning for high-dimensional data regression
ensemble-based semi-supervised feature ranking for multi-target regression problems, An
Entrack: Probabilistic Spherical regression with Entropy Regularization for Fiber Tractography
Entropy Approximation by Machine Learning regression: Application for Irregularity Evaluation of Images in Remote Sensing
Error Correction regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose regression Framework
Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest regression and Multisource Data
Estimating DBH of Trees Employing Multiple Linear regression Of The Best Lidar-derived Parameter Combination Automated In Python In A Natural Broadleaf Forest In The Philippines
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 Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning regression Techniques
Estimating Global Anthropogenic CO2 Gridded Emissions Using a Data-Driven Stacked Random Forest regression Model
Estimating Ground Level NO2 Concentrations over Central-Eastern China Using a Satellite-Based Geographically and Temporally Weighted regression Model
Estimating Illumination Chromaticity via Kernel regression
Estimating Intrinsic Component Images using Non-Linear regression
Estimating Mountain Glacier Flowlines by Local Linear regression Gradient Descent
Estimating Regional PM2.5 Concentrations in China Using a Global-Local regression Model Considering Global Spatial Autocorrelation and Local Spatial Heterogeneity
Estimating Rice Leaf Nitrogen Concentration: Influence of regression Algorithms Based on Passive and Active Leaf Reflectance
Estimating Sub-Pixel Soybean Fraction from Time-Series MODIS Data Using an Optimized Geographically Weighted regression Model
Estimating the Effect of Satellite Orbital Error Using Wavelet-Based Robust regression Applied to InSAR Deformation Data
Estimating the Performance of Random Forest versus Multiple regression for Predicting Prices of the Apartments
Estimating the readability of handwritten text: A Support Vector regression based approach
Estimation of Global Motion Parameters by Complex Linear regression
Estimation of Heavy Metals in Agricultural Soils Using Vis-NIR Spectroscopy with Fractional-Order Derivative and Generalized regression Neural Network
Estimation of Leaf Nitrogen Content in Wheat Using New Hyperspectral Indices and a Random Forest regression Algorithm
Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning regression
Estimation of Poverty Using Random Forest regression with Multi-Source Data: A Case Study in Bangladesh
Estimation of Surface NO2 Volume Mixing Ratio in Four Metropolitan Cities in Korea Using Multiple regression Models with OMI and AIRS Data
Estimation of the Key Water Quality Parameters in the Surface Water, Middle of Northeast China, Based on Gaussian Process regression
Estimation of Tree Cover in an Agricultural Parkland of Senegal Using Rule-Based regression Tree Modeling
Evaluating Empirical regression, Machine Learning, and Radiative Transfer Modelling for Estimating Vegetation Chlorophyll Content Using Bi-Seasonal Hyperspectral Images
Evaluating the Spatial Risk of Bacterial Foodborne Diseases Using Vulnerability Assessment and Geographically Weighted Logistic regression
evaluation of crowd counting methods, features and regression models, An
Evaluation of Eight Machine Learning regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products, An
Evaluation of Informative Bands Used in Different PLS regressions for Estimating Leaf Biochemical Contents from Hyperspectral Reflectance
Evaluation of Multiple Linear regression Model to Obtain Dbh of Trees Using Data From a Lightweight Laser Scanning System On-board a Uav
Evaluation of Point Hyperspectral Reflectance and Multivariate regression Models for Grapevine Water Status Estimation
Evaluation of SMAP-Enhanced Products Using Upscaled Soil Moisture Data Based on Random Forest regression: A Case Study of the Qinghai-Tibet Plateau, China
Evaluation of the Space Syntax Measures Affecting Pedestrian Density through Ordinal Logistic regression Analysis
Evolutionary regression Machines for Precision Agriculture
Examining Hotspots of Traffic Collisions and their Spatial Relationships with Land Use: A GIS-Based Geographically Weighted regression Approach for Dammam, Saudi Arabia
Examining the Effect of Squatter Settlements in the Evolution of Spatial Fragmentation in the Housing Market of the City of Buenos Aires by Using Geographical Weighted regression
Explainable boosted linear regression for time series forecasting
Explicit Shape regression With Characteristic Number for Facial Landmark Localization
Exploiting uncertainty in regression forests for accurate camera relocalization
Explorative Study on Estimating Local Accuracies in Land-Cover Information Using Logistic regression and Class-Heterogeneity-Stratified Data, An
Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic regression with Open Access POI Data
Exploring Housing Rent by Mixed Geographically Weighted regression: A Case Study in Nanjing
Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares regression
Exploring the Influences of Point-of-Interest on Traffic Crashes during Weekdays and Weekends via Multi-Scale Geographically Weighted regression
Exploring the Spatial Determinants of Rural Poverty in the Interprovincial Border Areas of the Loess Plateau in China: A Village-Level Analysis Using Geographically Weighted regression
Extended linear regression for undersampled face recognition
Extended Semi-Supervised regression Approach with Co-Training and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing, An
Extended Semi-Supervised regression Approach with Co-Training and Geographical Weighted Regression: A Case Study of Housing Prices in Beijing, An
Extended Spectral regression for efficient scene recognition
Extending Absolute Pose regression to Multiple Scenes
Extending explicit shape regression with mixed feature channels and pose priors
Extreme Sparse Multinomial Logistic regression: A Fast and Robust Framework for Hyperspectral Image Classification
Face Alignment by Explicit Shape regression
Face alignment using a 3D deeply-initialized ensemble of regression trees
Face Alignment Using a Ranking Model based on regression Trees
Face alignment using cascade Gaussian process regression trees
Face Alignment Using K-Cluster regression Forests With Weighted Splitting
Face alignment using two-stage cascaded pose regression and mirror error correction
Face Detection Based on Multiple regression and Recognition Support Vector Machines
Face hallucination using OLPP and Kernel Ridge regression
Face Hallucination via Coarse-to-Fine Recursive Kernel regression Structure
Face identification using linear regression
Face image super-resolution via weighted patches regression
Face Parts Localization Using Structured-Output regression Forests
Face Recognition Using Dual Difference regression Classification
Face Recognition Using Kernel Ridge regression
Face recognition using multi-scale local phase quantisation and Linear regression Classifier
Face Recognition Using Nonlinear regression
Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes regression
Face sketch-photo synthesis based on support vector regression
Face spoofing detection with image quality regression
Face virtual pose generation using aligned locally linear regression for face recognition
Face-iris multi-modal biometric system using multi-resolution Log-Gabor filter with spectral regression kernel discriminant analysis
Facial Action Transfer with Personalized Bilinear regression
Facial action unit intensity estimation using rotation invariant features and regression analysis
Facial age estimation based on label-sensitive learning and age-oriented regression
Facial age estimation using Clustered Multi-task Support Vector regression Machine
Facial Expression Invariant Head Pose Normalization Using Gaussian Process regression
Facial Expression Recognition via regression-Based Robust Locality Preserving Projections
Facial point detection using boosted regression and graph models
Facial Shape Tracking via Spatio-Temporal Cascade Shape regression
Failure-Aware Explicit Shape regression Model for Facial Landmark Detection in Video, A
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector regression Approach
Fast Anatomical Structure Localization Using Top-Down Image Patch regression
Fast and robust selection of highly-correlated features in regression problems
fast Cascade Shape regression Method based on CNN-based Initialization, A
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
Fast deformable structure regression tracking
Fast example searching for input-adaptive data-driven dehazing with Gaussian process regression
Fast Gradient Method for Nonnegative Sparse regression With Self-Dictionary, A
Fast HSI super resolution using linear regression
Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting regression
Fast Hyper-Spectral Radiative Transfer Model Based on the Double Cluster Low-Streams regression Method
Fast Hyperspectral Unmixing via Reweighted Sparse regression
Fast image super resolution via local regression
Fast Image Super-Resolution Based on In-Place Example regression
Fast local polynomial regression approach for speckle noise removal
Fast multiple instance learning via L1,2 logistic regression
Fast polynomial regression transform for video database
fast single-image super-resolution via directional edge-guided regularized extreme learning regression, A
Fast Sparse Multinomial regression Applied to Hyperspectral Data
Fast Super-Resolution in MRI Images Using Phase Stretch Transform, Anchored Point regression and Zero-Data Learning
FCR-TrackNet: Towards high-performance 6D pose tracking with multi-level features fusion and joint classification-regression
Feature Extraction for regression Problems and an Example Application for Pose Estimation of a Face
Feature Fusion by Similarity regression for Logo Retrieval
Feature Learning Using Bayesian Linear regression Model
Feature Map Quality Score Estimation Through regression
Feature regression for Multimodal Image Analysis
Feature Relevance for Kernel Logistic regression and Application to Action Classification
Feature Selection Based on Principal Component regression for Underwater Source Localization by Deep Learning
Feature selection for regression problems based on the Morisita estimator of intrinsic dimension
Feature Selection in regression Tasks Using Conditional Mutual Information
Feedback cascade regression model for face alignment
Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process regression
Fine-tuning for One-look regression Vehicle Counting in Low-shot Aerial Datasets
Fine-Tuning regression Forests Votes for Object Alignment in the Wild
Fingerprint Matching Based on Neighboring Information and Penalized Logistic regression
Fingerprint Positioning Method for Dual-Band Wi-Fi Based on Gaussian Process regression and K-Nearest Neighbor
FisherMatch: Semi-Supervised Rotation regression via Entropy-based Filtering
Flash Flood Susceptibility Assessment Based on Geodetector, Certainty Factor, and Logistic regression Analyses in Fujian Province, China
Flexible Locally Weighted Penalized regression With Applications on Prediction of Alzheimer's Disease Neuroimaging Initiative's Clinical Scores
Flood Mapping Using Multi-Source Remotely Sensed Data and Logistic regression in the Heterogeneous Mountainous Regions in North Korea
Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic regression Model
Forecasting Daily Wildfire Activity Using Poisson regression
Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression
Foreground Estimation Based on Linear regression Model With Fused Sparsity on Outliers
Foreground estimation based on robust linear regression model
Formulation of Two Stage Multiple Kernel Learning Using regression Framework
Forward Propagation, Backward regression, and Pose Association for Hand Tracking in the Wild
Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest regression Method
Framework of Joint Graph Embedding and Sparse regression for Dimensionality Reduction, A
Framework of Joint Low-Rank and Sparse regression for Image Memorability Prediction, A
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via regression and Integration
FRATS: Functional regression Analysis of DTI Tract Statistics
Free Space, Visible and Missing Lane Marker Estimation using the PsiNet and Extra Trees regression
Frequency-domain blind quality assessment of blurred and blocking-artefact images using Gaussian Process regression model
From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via regression Tree Fields
From Point Clouds to Mesh Using regression
From regression Based on Dynamic Filter Network to Pansharpening by Pixel-Dependent Spatial-Detail Injection
From Simulated to Visual Data: A Robust Low-Rank Tensor Completion Approach Using L_p-regression for Outlier Resistance
Full Scale regression-Based Injection Coefficients for Panchromatic Sharpening
Full-Body Human Pose Estimation from Monocular Video Sequence via Multi-dimensional Boosting regression
full-reference stereoscopic image quality metric based on binocular energy and regression analysis, A
Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest regression and Hierarchical Sparse Shape Composition
Fully automatic segmentation of AP pelvis X-rays via random forest regression with efficient feature selection and hierarchical sparse shape composition
Fully Automatic Segmentation of Hip CT Images via Random Forest regression-Based Atlas Selection and Optimal Graph Search-Based Surface Detection
Fully Automatic Segmentation of the Proximal Femur Using Random Forest regression Voting
Functional gradient ascent for Probit regression
Functional regression Approach to Facial Landmark Tracking, A
Fusion of SAR and Multispectral Images Using Random Forest regression for Change Detection
Fuzzy Weighted Support Vector regression With a Fuzzy Partition
Gait Recognition Under Various Viewing Angles Based on Correlated Motion regression
Gait-based age progression/regression: a baseline and performance evaluation by age group classification and cross-age gait identification
Gaussian fields for semi-supervised regression and correspondence learning
Gaussian process regression flow for analysis of motion trajectories
Gaussian Process regression for Arctic Coastal Erosion Forecasting
Gaussian Process regression for Forest Attribute Estimation From Airborne Laser Scanning Data
Gaussian Process regression for Transportation System Estimation and Prediction Problems: The Deformation and a Hat Kernel
Gaussian Process regression Framework for Spatial Error Concealment with Adaptive Kernels, A
Gaussian Process regression Model for Crop Biophysical Parameter Retrieval from Multi-Polarized C-Band SAR Data
Gaussian Process regression-Based Structural Response Model and Its Application to Regional Damage Assessment
Gaussian Process regression-Based Video Anomaly Detection and Localization With Hierarchical Feature Representation
Gaze estimation using local features and non-linear regression
Gaze Estimation Using regression Analysis and AAMs Parameters Selected Based on Information Criterion
GDR-Net: Geometry-Guided Direct regression Network for Monocular 6D Object Pose Estimation
General regression and Representation Model for Face Recognition
General Shape Generation by Contouring Fractals and Applying Linear Boundary regression
Generalization Performance of Regularized regression Algorithms Based on Markov Sampling, The
Generalized Deep Image to Image regression
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box regression
Generalized Model for Intersensor NDVI Calibration and Its Comparison With regression Approaches, A
Generalized multi-output Gaussian process censored regression
Generalized Robust regression for Jointly Sparse Subspace Learning
Generalized Shuffled Linear regression
Generalized Tensor regression for Hyperspectral Image Classification
Generalized Two-Stage Rank regression Framework for Depression Score Prediction from Speech
Generalizing semi-supervised generative adversarial networks to regression using feature contrasting
Generating a Baseline Map of Surface Fuel Loading Using Stratified Random Sampling Inventory Data through Cokriging and Multiple Linear regression Methods
Generating labels for regression of subjective constructs using triplet embeddings
Generation of 250m MODIS LAI time series by temporal regression
Generation of Homogeneous VHR Time Series by Nonparametric regression of Multisensor Bitemporal Images
Generation of Radiometric, Phenological Normalized Image Based on Random Forest regression for Change Detection
Generative-Model-Based Data Labeling for Deep Network regression: Application to Seed Maturity Estimation from UAV Multispectral Images
Generic target response as a measure of regression accuracy in multispectral background estimation
Genetic Algorithm Captured the Informative Bands for Partial Least Squares regression Better on Retrieving Leaf Nitrogen from Hyperspectral Reflectance
Geo-FARM: Geodesic Factor regression Model for Misaligned Pre-shape Responses in Statistical Shape Analysis
Geodesic regression and the Theory of Least Squares on Riemannian Manifolds
Geodesic regression Characterizes 3D Shape Changes in the Female Brain During Menstruation
Geodesic regression on the Grassmannian
Geographically and Temporally Weighted regression Model for Ground-Level PM2.5 Estimation from Satellite-Derived 500 m Resolution AOD, A
Geographically and Temporally Weighted regression Model for Spatial Downscaling of MODIS Land Surface Temperatures Over Urban Heterogeneous Regions, A
Geographically Weighted Area-to-Point regression Kriging for Spatial Downscaling in Remote Sensing
Geographically Weighted regression Analysis of the Underlying Factors Related to the Surface Urban Heat Island Phenomenon, A
Geographically Weighted regression Approach for Shallow Water Depth Estimation Using Multispectral Satellite Imageries
Geographically Weighted regression Approach to Understanding Urbanization Impacts on Urban Warming and Cooling: A Case Study of Las Vegas, A
Geographically Weighted regression Effects on Soil Zinc Content Hyperspectral Modeling by Applying the Fractional-Order Differential
Geographically Weighted regression in the Analysis of Unemployment in Poland
Geometric Loss Functions for Camera Pose regression with Deep Learning
Geospatial and Machine Learning regression Techniques for Analyzing Food Access Impact on Health Issues in Sustainable Communities
Geospatial Assessment and Modeling of Urban Heat Islands in Quezon City, Philippines Using Ols and Geographically Weighted regression
Geospatial Least Squares Support Vector regression Fused with Spatial Weight Matrix
Gesture and Posture Estimation by Using Locally Linear regression
GIS-Based Analytical Tools for Transport Planning: Spatial regression Models for Transportation Demand Forecast
GIS-Based Bivariate Logistic regression Model for the Site-Suitability Analysis of Parcel-Pickup Lockers: A Case Study of Guangzhou, China, A
Global Affective Video Content regression Based on Complementary Audio-visual Features
Global comparison of diverse scaling factors and regression models for downscaling Landsat-8 thermal data
Global Feedforward Neural Network Learning for Classification and regression
Global Land Surface Fractional Vegetation Cover Estimation Using General regression Neural Networks From MODIS Surface Reflectance
Globally Optimal Fuzzy Decision Trees for Classification and regression
Going Beyond the regression Paradigm with Accurate Dot Prediction for Dense Crowds
Gradient Boosting and Linear regression for Estimating Coastal Bathymetry Based on Sentinel-2 Images
Gradient boosting regression for faster Partitioned Iterated Function Systems-based head pose estimation
Gradient Boosting with Moving-Average Terms for Nonlinear Sequential regression
Gradient regression for Brain Landmark Localization on Magnetic Resonance Imaging
Gradient self-weighting linear collaborative discriminant regression classification for human cognitive states classification
Graph Refinement with regression Prior for 3D Face Reconstruction
Graph regression Based on Graph Autoencoders
Grassland and Cropland Net Ecosystem Production of the U.S. Great Plains: regression Tree Model Development and Comparative Analysis
Grassmannian Spectral regression for Action Recognition
Greedy regression in Sparse Coding Space for Single-Image Super-Resolution
Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process regression in Google Earth Engine
Group Low-Rank Representation-Based Discriminant Linear regression
Group Sparse Reduced Rank Tensor regression for Micro-Expression Recognition
Group Sparsity via SURE Based on regression Parameter Mean Squared Error
Group-aware Contrastive regression for Action Quality Assessment
Group-Conditional Conformal Prediction via Quantile regression Calibration for Crop and Weed Classification
Growing regression Forests by Classification: Applications to Object Pose Estimation
Growing regression Tree Forests by Classification for Continuous Object Pose Estimation
Guided optimisation through classification and regression for hand pose estimation
Guided Sampling in Multiple View Robust Motion Estimation Using regression Diagnostics
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression
H.264/AVC motion vector concealment solutions using online and offline polynomial regression
Half hypersphere confinement for piecewise linear regression
Hand detection in American Sign Language depth data using domain-driven random forest regression
Hand gesture recognition using a skeleton-based feature representation with a random regression forest
Hand Pose Estimation via Latent 2.5D Heatmap regression
Hand Pose regression via a Classification-Guided Approach
Harmonic regression of Landsat time series for modeling attributes from national forest inventory data
Hausdorff regression Paradigm for Interval Privacy, A
Head pan angle estimation by a nonlinear regression on selected features
Head Pose Estimation Based on 3-D Facial Landmarks Localization and regression
Head Pose Estimation by a Stepwise Nonlinear regression
Head pose estimation by regression algorithm
Head pose estimation using Spectral regression Discriminant Analysis
Head pose estimation via probabilistic high-dimensional regression
Head pose estimation: Classification or regression?
Heatmap regression via Randomized Rounding
HeightFormer: A Multilevel Interaction and Image-Adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images
Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction Via regression Analysis
Heterogenous output regression network for direct face alignment
Heteroscedastic regression in Computer Vision: Problems with Bilinear Constraint
Heuristics-Based Learning Approach for Choquistic regression Models
Hierarchical Approach for Multi-task Logistic regression, A
Hierarchical deep neural network for multivariate regression
Hierarchical Discriminant regression
Hierarchical Higher-Order regression Forest Fields: An Application to 3D Indoor Scene Labelling
Hierarchical regression Network for Spectral Reconstruction from RGB Images
Hierarchical Scene Coordinate Classification and regression for Visual Localization
Hierarchical Sliding Slice regression for Vehicle Viewing Angle Estimation
Hierarchical tucker tensor regression: Application to brain imaging data analysis
Hierarchical Vertex regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data
High Precision Error Prediction Algorithm Based on Ridge regression Predictor for Reversible Data Hiding
High-Order Regularized regression in Electrical Impedance Tomography
High-Resolution Land Surface Temperature Downscaling Method Based on Geographically Weighted Neural Network regression, A
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear regression Method
Higher order spectral regression discriminant analysis (HOSRDA): A tensor feature reduction method for ERP detection
Highly efficient nonlinear regression for big data with lexicographical splitting
Highly Efficient regression for Scalable Person Re-Identification
highly robust estimator for regression models, A
Hinting Pipeline and Multivariate regression CNN for Maize Kernel Counting on the Ear
Hippocampus Segmentation from MR Infant Brain Images via Boundary regression
Histogram of Body Poses and Spectral regression Discriminant Analysis for Human Action Categorization
Holistic Human Pose Estimation with regression Forests
House Price Valuation Model Based on Geographically Neural Network Weighted regression: The Case Study of Shenzhen, China
How to Estimate the Regularization Parameter for Spectral regression Discriminant Analysis and its Kernel Version?
HPRNet: Hierarchical point regression for whole-body human pose estimation
HRTF Selection by Anthropometric regression for Improving Horizontal Localization Accuracy
Human Age Estimation by Metric Learning for regression Problems
Human Age Estimation by Metric Learning for regression Problems
Human Age Estimation With regression on Discriminative Aging Manifold
Human Gait Recognition Based on Dynamic and Static Features Using Generalized regression Neural Network
Human Pose Estimation via Convolutional Part Heatmap regression
Human Pose regression Through Multiview Visual Fusion
Human Pose regression with Residual Log-likelihood Estimation
hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks, A
hybrid decision tree algorithm for mixed numeric and categorical data in regression analysis, A
Hybrid Deep Reinforced regression Framework for Cardio-Thoracic Ratio Measurement
Hybrid evolutionary ridge regression approach for high-accurate corner extraction
Hybrid eye center localization using cascaded regression and hand-crafted model fitting
Hybrid Neural Network Model for Noisy Data regression, A
Hybrid-Resolution Spectral Imaging System Using Adaptive regression-Based Reconstruction
Hybrids of Support Vector regression with Grey Wolf Optimizer and Firefly Algorithm for Spatial Prediction of Landslide Susceptibility
Hyperspectral Face Recognition With Spatiospectral Information Fusion and PLS regression
Hyperspectral Image Classification Based on Structured Sparse Logistic regression and Three-Dimensional Wavelet Texture Features
Hyperspectral image clustering via sparse dictionary-based anchored regression
Hyperspectral image quality evaluation using generalized regression neural network
Hyperspectral imagery for disaggregation of land surface temperature with selected regression algorithms over different land use land cover scenes
Hyperspectral Unmixing with Robust Collaborative Sparse regression
HypLiLoc: Towards Effective LiDAR Pose regression with Hyperbolic Fusion
ICAM-Reg: Interpretable Classification and regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans
Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and regression Tree Modeling
Identifying Leaf Phenology of Deciduous Broadleaf Forests from PhenoCam Images Using a Convolutional Neural Network regression Method
Identifying Surface Urban Heat Island Drivers and Their Spatial Heterogeneity in China's 281 Cities: An Empirical Study Based on Multiscale Geographically Weighted regression
Identity recognition based on generalised linear regression classification for multi-component images
Illuminance Flow Estimation by regression
Illumination direction estimation for augmented reality using a surface input real valued output regression network
Image Aesthetic Assessment Based on Pairwise Comparison ­ A Unified Approach to Score regression, Binary Classification, and Personalization
Image and Video Restorations via Nonlocal Kernel regression
Image Based regression Using Boosting Method
Image completion using prediction concept via support vector regression
Image De-noising by Bayesian regression
Image deblurring with matrix regression and gradient evolution
Image decomposition based matrix regression with applications to robust face recognition
Image Denoising Through Support Vector regression
Image Denoising Using Robust regression
Image Denoising with k-nearest Neighbor and Support Vector regression
Image Grid Recognition and regression for Fast and Accurate Face Detection
Image Interpolation Via Regularized Local Linear regression
Image interpolation with adaptive k-nearest neighbours search and random non-linear regression
Image Projection Ridge regression for Subspace Clustering
Image quality assessment based on multi-feature extraction and synthesis with support vector regression
Image Reconstruction with Smoothed Mixtures of regressions
Image Representation Learning by Transformation regression
Image retargeting quality assessment based on support vector regression
Image segmentation using local spectral histograms and linear regression
Image Set Classification Using Sparse Bayesian regression
Image super-resolution based on dictionary learning and anchored neighborhood regression with mutual incoherence
Image super-resolution based on multikernel regression
Image Super-Resolution Using Local Learnable Kernel regression
Image super-resolution via 2D tensor regression learning
Image Super-Resolution Via Non-Local Steering Kernel regression Regularization
Image Superresolution Using Support Vector regression
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust regression
Imaging Genetics Study Based on a Temporal Group Sparse regression and Additive Model for Biomarker Detection of Alzheimer's Disease
Imbalanced regression for intensity series of pain expression from videos by regularizing spatio-temporal face nets
Implementing cascaded regression tree-based face landmarking: An in-depth overview
Implicit Polynomials, Orthogonal Distance regression, and the Closest Point on a Curve
Improve regression Network on Depth Hand Pose Estimation With Auxiliary Variable
Improved Indoor Positioning Technique Based On a Geographic Weighted regression
Improved Oriented Object Detection in Remote Sensing Images Based on a Three-Point regression Method
Improved Principal Component regression for Face Recognition Under Illumination Variations
Improved Principal Components regression with Rough Set and its Application in the Modeling of Warship LCC
Improved Spectral Density Measurement from Estimated Reflectance Data with Kernel Ridge regression
Improved Urban Flooding Mapping from Remote Sensing Images Using Generalized regression Neural Network-Based Super-Resolution Algorithm
Improving ASTER GDEM Accuracy Using Land Use-Based Linear regression Methods: A Case Study of Lianyungang, East China
Improving Component Substitution Pansharpening Through Multivariate regression of MS+Pan Data
Improving Forest Aboveground Biomass Estimation of Pinus densata Forest in Yunnan of Southwest China by Spatial regression using Landsat 8 Images
Improving Geographically Weighted regression Considering Directional Nonstationary for Ground-Level PM2.5 Estimation
Improving head pose estimation using two-stage ensembles with top-k regression
Improving Pedestrian Detection Using Support Vector regression
Improving Spatial Coverage for Aqua MODIS AOD using NDVI-Based Multi-Temporal regression Analysis
Improving Spectral Estimation of Soil Organic Carbon Content through Semi-Supervised regression
Improving the Accuracy of Open Source Digital Elevation Models with Multi-Scale Fusion and a Slope Position-Based Linear regression Method
Improving the Detection Accuracy of Underwater Obstacles Based on a Novel Combined Method of Support Vector regression and Gravity Gradient
Improving Victimization Risk Estimation: A Geographically Weighted regression Approach
Inconsistency of Global Vegetation Dynamics Driven by Climate Change: Evidences from Spatial regression
Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm
Incorporating Linear regression Problems Into an Adaptive Framework With Feasible Optimizations
Incremental hierarchical discriminant regression for online image classification
Incremental Hierarchical Discriminating regression for Indoor Visual Navigation
incremental multivariate regression method for function approximation from noisy data, An
Independent 3D Motion Detection through Robust regression in Depth Layers
Indoor Localisation with regression Networks and Place Cell Models
Infarct Localization From Myocardial Deformation: Prediction and Uncertainty Quantification by regression From a Low-Dimensional Space
Inferring 3D body pose using variational semi-parametric regression
Inferring human gaze from appearance via adaptive linear regression
Influence of Spatial Aggregation on Prediction Accuracy of Green Vegetation Using Boosted regression Trees
Informative Logistic regression for Cross-Domain Image Classification, An
Initialised Eigenlip Estimator for Fast Lip Tracking Using Linear regression
Insect Mass Estimation Based on Radar Cross Section Parameters and Support Vector regression Algorithm
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal regression
Instantaneous 3D motion from image derivatives using the Least Trimmed Square regression
Integral Human Pose regression
Integrating Airborne Hyperspectral, Topographic, and Soil Data for Estimating Pasture Quality Using Recursive Feature Elimination with Random Forest regression
Integrating Logistic regression and Geostatistics for User-Oriented and Uncertainty-Informed Accuracy Characterization in Remotely-Sensed Land Cover Change Information
Integrating monomodal biometric matchers through logistic regression rank aggregation approach
Integration of Information Theory, K-Means Cluster Analysis and the Logistic regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China
Inter-modality registration of NMRi and histological section images using neural networks regression in Gabor feature space
Interactive Natural Image Segmentation via Spline regression
Interactive regression and Classification for Dense Object Detector
Interannual Calibration and Global Nighttime Light Fluctuation Assessment Based on Pixel-Level Linear regression Analysis, The
Interleaved regression Tree Field Cascades for Blind Image Deconvolution
Intermediate-Level Attack Framework on the Basis of Linear regression, An
Interpreting CNN Models for Apparent Personality Trait regression
Intertidal Bathymetry Extraction with Multispectral Images: A Logistic regression Approach
Intra-class multi-output regression based subspace analysis
Intrinsic Polynomials for regression on Riemannian Manifolds
Invariant quantities in regression-induced boundaries under a special linear transformation
Investigating Roundabout Properties and Bicycle Accident Occurrence at Swiss Roundabouts: A Logistic regression Approach
Investigating the Performance of Random Forest and Support Vector regression for Estimation of Cloud-free Ndvi Using Sentinel-1 Sar Data
investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives, An
Investigation of Local Effects on Surface Warming with Geographically Weighted regression (GWR), An
Investigation of regression Vector Structure of Human Skill Models
Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised regression Models
IoUNet++: Spatial cross-layer interaction-based bounding box regression for visual tracking
Iterative ridge regression using the aggregating algorithm
Iterative sliced inverse regression for segmentation of ultrasound and MR images
JNMR: Joint Non-Linear Motion regression for Video Frame Interpolation
Joint 3D Face Reconstruction and Dense Alignment with Position Map regression Network
Joint classification and prediction of random curves using heavy-tailed process functional regression
Joint Classification and regression for Visual Tracking with Fully Convolutional Siamese Networks
Joint Classification and Trajectory regression of Online Handwriting using a Multi-Task Learning Approach
Joint Classification-regression Forests for Spatially Structured Multi-Object Segmentation
joint dictionary learning and regression model for intensity estimation of facial AUs, A
joint facial point detection method of deep convolutional network and shape regression, A
Joint Feature Weighting and Adaptive Graph-Based Matrix regression for Image Supervised Feature Selection
Joint hypergraph learning and sparse regression for feature selection
Joint learning for side information and correlation model based on linear regression model in distributed video coding
Joint Learning of Full-Structure Noise in Hierarchical Bayesian regression Models
Joint Manifold Model for Semi-supervised Multi-valued regression, The
Joint Multi-Modal Longitudinal regression and Classification for Alzheimer's Disease Prediction
Joint nonlinear feature selection and continuous values regression network
Joint Probability Distribution regression for Image Cropping
Joint regression and Ranking for Image Enhancement
Joint regression Modeling and Sparse Spatial Refinement for High-Quality Reconstruction of Distorted Color Images
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection
Joint Voxel and Coordinate regression for Accurate 3D Facial Landmark Localization
Jointly Sparse Locality regression for Image Feature Extraction
K-NN regression to Improve Statistical Feature Extraction for Texture Retrieval
Kappa Angle regression with Ocular Counter-Rolling Awareness for Gaze Estimation
Karst Collapse Risk Zonation and Evaluation in Wuhan, China Based on Analytic Hierarchy Process, Logistic regression, and InSAR Angular Distortion Approaches
Kernel Deep regression Network for Touch-Stroke Dynamics Authentication
Kernel discriminant analysis for regression problems
Kernel Dual Linear regression for Face Image Set Classification
Kernel least absolute shrinkage and selection operator regression classifier for pattern classification
Kernel PLS regression for robust monocular pose estimation
Kernel regression for Image Processing and Reconstruction
Kernel regression in mixed feature spaces for spatio-temporal saliency detection
Kernel Ridge regression Hybrid Method for Wheat Yield Prediction with Satellite-Derived Predictors
Kernel spectral regression of perceived age from hybrid facial features
Kernel subspace pursuit for sparse regression
Kernel two-dimensional ridge regression for subspace clustering
Kernelized dual regression incorporating local information for image set classification
Knowledge-Augmented Multimodal Deep regression Bayesian Networks for Emotion Video Tagging
Kronecker least angle regression for unsupervised unmixing of hyperspectral imaging data
L0 regularized logistic regression for large-scale data
L0-norm based structural sparse least square regression for feature selection
L2,1-based regression and prediction accumulation across views for robust facial landmark detection
Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar
Land Cover Impacts on Surface Temperatures: Evaluation and Application of a Novel Spatiotemporal Weighted regression Approach
Land Surface Temperature Retrieval from MODIS Data by Integrating regression Models and the Genetic Algorithm in an Arid Region
Land Use Quantile regression Modeling of Fine Particulate Matter in Australia
Landslide Fissure Inference Assessment by ANFIS and Logistic regression Using UAS-Based Photogrammetry
Landslide Susceptibility Mapping Using Logistic regression Analysis along the Jinsha River and Its Tributaries Close to Derong and Deqin County, Southwestern China
lane-departure identification based on LBPE, Hough transform, and linear regression, A
Laplace Approximation for Divisive Gaussian Processes for Nonstationary regression
Large margin based nonnegative matrix factorization and partial least squares regression for face recognition
Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN regression
Large-Scale Bayesian Spatial-Temporal regression with Application to Cardiac MR-Perfusion Imaging
Large-scale building height retrieval from single SAR imagery based on bounding box regression networks
Large-Scale Product Classification via Spatial Attention Based CNN Learning and Multi-class regression
LARGE: Latent-Based regression through GAN Semantics
Laser-Based Bidirectional Pedestrian Counting via Height Map Guided regression and Voting
Latent Gaussian Mixture regression for Human Pose Estimation
Latent low-rank representation sparse regression model with symmetric constraint for unsupervised feature selection
Latent multi-feature co-regression for visual recognition by discriminatively leveraging multi-source models
Latent regression Bayesian network for data representation
Latent regression Forest: Structured Estimation of 3D Articulated Hand Posture
Latent regression Forest: Structured Estimation of 3D Hand Poses
LCR-Net: Localization-Classification-regression for Human Pose
Learning a Cascade regression for No-Reference Super-Resolution Image Quality Assessment
Learning a Nonnegative Sparse Graph for Linear regression
Learning based alpha matting using support vector regression
Learning channel-aware deep regression for object tracking
Learning Correction Filter via Degradation-Adaptive regression for Blind Single Image Super-Resolution
Learning Dense Correspondences for Non-Rigid Point Clouds With Two-Stage regression
Learning distance metric regression for facial age estimation
Learning General Descriptors for Image Matching With regression Feedback
Learning Graph Matching Substitution Weights based on a Linear regression
Learning Inverse Depth regression for Pixelwise Visibility-Aware Multi-View Stereo Networks
Learning kernel logistic regression in the presence of class label noise
Learning Less is More: 6D Camera Localization via 3D Surface regression
Learning Linear regression via Single-Convolutional Layer for Visual Object Tracking
Learning Marginalization through regression for Hand Orientation Inference
Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence regression
Learning Monocular regression of 3D People in Crowds via Scene-Aware Blending and De-Occlusion
Learning Multi-Scene Absolute Pose regression with Transformers
Learning non-parametric kernel via matrix decomposition for logistic regression
Learning nonlinear distance functions using neural network for regression with application to robust human age estimation
Learning Output-kernel-dependent regression for Human Pose Estimation
Learning pairwise image similarities for multi-classification using Kernel regression Trees
Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware regression
Learning regression and Verification Networks for Robust Long-term Tracking
Learning representative exemplars using one-class Gaussian process regression
Learning Robot Activities from First-Person Human Videos Using Convolutional Future regression
Learning robust latent representation for discriminative regression
Learning robust latent subspace for discriminative regression
Learning sparse image representation with support vector regression for single-image super-resolution
Learning Spatial-Aware regressions for Visual Tracking
Learning Stereo Matchability in Disparity regression Networks
Learning Supervised Topic Models for Classification and regression from Crowds
Learning symmetric face pose models online using locally weighted projectron regression
Learning to count with regression forest and structured labels
Learning to Learn: Model regression Networks for Easy Small Sample Learning
Learning to Localize Objects with Structured Output regression
Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction
Learning to Track at 100 FPS with Deep regression Networks
Least Angle regression-Based Constrained Sparse Unmixing of Hyperspectral Remote Sensing Imagery
Least Median of Squares regression
Least MSE regression for View Synthesis
least squares regression framework on manifolds and its application to gesture recognition, A
Least-Squares regression with Unitary Constraints for Network Behaviour Classification
Let's Take This Online: Adapting Scene Coordinate regression Network Predictions for Online RGB-D Camera Relocalisation
Leveraging Datasets with Varying Annotations for Face Alignment via Deep regression Network
Leveraging Equivariant Features for Absolute Pose regression
LiDAR-based localization using universal encoding and memory-aware regression
Linear collaborative discriminant regression classification for face recognition
Linear Discriminant regression Classification for Face Recognition
Linear Image Coding for regression and Classification using the Tensor-rank Principle
Linear regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking
Linear regression Classification in the Quaternion and Reduced Biquaternion Domains
Linear regression for Face Recognition
Linear regression motion analysis for unsupervised temporal segmentation of human actions
Linear regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis
Linear regression Without Correspondences via Concave Minimization
Link and Code: Fast Indexing with Graphs and Compact regression Codes
Local Evidence Aggregation for regression-Based Facial Point Detection
local information-based feature-selection algorithm for data regression, A
Local Linear regression (LLR) for Pose Invariant Face Recognition
Local Outlier Detection Based on Kernel regression
Local prediction of non-linear time series using support vector regression
Local regression Based Hourglass Network for Hand Pose Estimation from a Single Depth Image
Local regression Based Statistical Model Fitting
Local regression Learning via Forest Classification for 2D/3D Deformable Registration
Local regression Model for Automatic Face Sketch Generation
Local regression Ranking for Saliency Detection
Locality preserving multi-nominal logistic regression
Locality Preserving Robust regression for Jointly Sparse Subspace Learning
Locality-constrained matrix regression for position-patch based face hallucination
Locality-Regularized Linear regression for face recognition
Localization or Globalization? Determination of the Optimal regression Window for Disaggregation of Land Surface Temperature
Localized Linear regression in Networked Data
Localized Multiple Kernel regression
Locally Adjusted Robust regression for Human Age Estimation
Locally Linear regression for Pose-Invariant Face Recognition
Locally Linear regression Model for Boundary Preserving Regularization in Stereo Matching, A
Log-Linear Weight Optimization Using Discriminative Ridge regression Method in Statistical Machine Translation
Logarithmically Improved Property regression for Crowd Counting
Logistic Boosting regression for Label Distribution Learning
Logistic regression Approach to Field Estimation Using Binary Measurements, A
Logistic regression Confined by Cardinality-Constrained Sample and Feature Selection
Logistic regression of Generic Codebooks for Semantic Image Retrieval
Logistic regression of Point Matches for Accurate Transformation Estimation
Logistic regression projection-based feature representation for visual domain adaptation
Logistic regression using covariates obtained by product-unit neural network models
Lossless Image Compression based on Enhanced Fuzzy regression Prediction
Lost Person Search Area Prediction Based on regression and Transfer Learning Models
Low Bit-Rate Compression Image Restoration through Subspace Joint regression Learning
Low bit-rate video coding via mode-dependent adaptive regression for wireless visual communications
Low-rank inter-class sparsity based semi-flexible target least squares regression for feature representation
Low-rank kernel regression with preserved locality for multi-class analysis
Low-rank nonnegative sparse representation and local preservation-based matrix regression for supervised image feature selection
Low-rank preserving embedding regression for robust image feature extraction
Low-Rank Tensor regression for X-Ray Tomography
Low-rank tensor ring learning for multi-linear regression
Low-Rank-Sparse Subspace Representation for Robust regression
L_1-Norm Quantile regression Screening Rule via the Dual Circumscribed Sphere
L_2,1-norm minimization based negative label relaxation linear regression for feature selection
M3 CSR: Multi-view, multi-scale and multi-component cascade shape regression
Machine and Deep Learning regression of Chlorophyll-a Concentrations in Lakes Using PRISMA Satellite Hyperspectral Imagery
Machine Learning Based Channel Estimation for 5G NR-V2V Communications: Sparse Bayesian Learning and Gaussian Progress regression
Machine Learning regression Analysis for Estimation of Crop Emergence Using Multispectral UAV Imagery
Machine-learning regression in evolutionary algorithms and image registration
Machine-Learning-Based Forest Classification and regression (FCR) for Spatial Prediction of Liver Fluke Opisthorchis viverrini (OV) Infection in Small Sub-Watersheds
Manifold regression Framework for Characterizing Source Zone Architecture
Manifold Transfer Learning via Discriminant regression Analysis
map estimation algorithm for Bayesian polynomial regression on riemannian manifolds, A
Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and regression Techniques
Mapping Data Prediction Algorithm based On Generalized regression Neural Network, A
Mapping Forest Aboveground Biomass with MODIS and Fengyun-3C VIRR Imageries in Yunnan Province, Southwest China Using Linear regression, K-Nearest Neighbor and Random Forest
Mapping Forest Composition with Landsat Time Series: An Evaluation of Seasonal Composites and Harmonic regression
Mapping Fractional Vegetation Coverage across Wetland Classes of Sub-Arctic Peatlands Using Combined Partial Least Squares regression and Multiple Endmember Spectral Unmixing
Mapping Gross Domestic Product Distribution at 1 km Resolution across Thailand Using the Random Forest Area-to-Area regression Kriging Model
Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products
Margin-based discriminant embedding guided sparse matrix regression for image supervised feature selection
Masked Label Learning for Optical Flow regression
Masked Linear regression for Learning Local Receptive Fields for Facial Expression Synthesis
Mathematical Analysis of Learning Loss for Active Learning in regression, A
mathematical programming approach for integrated multiple linear regression subset selection and validation, A
Matrix regression-Based Classification for Face Recognition
Matrix regression-based classification with block-norm
Maximum Likelihood Robust regression by Mixture Models
Medical image denoising using Kernel Ridge regression
Merging Multisatellite and Gauge Precipitation Based on Geographically Weighted regression and Long Short-Term Memory Network
Meta-regression based pool size prediction scheme for dynamic selection of classifiers
Method to Build Classification and regression Trees, A
Meticulous Land Cover Classification of High-Resolution Images Based on Interval Type-2 Fuzzy Neural Network with Gaussian regression Model
Metric regression Forests for Correspondence Estimation
Metric regression Forests for Human Pose Estimation
MGWR: A Python Implementation of Multiscale Geographically Weighted regression for Investigating Process Spatial Heterogeneity and Scale
Micrant: Towards regression Task Oriented Annotation Tool for Microscopic Images
Micro-Expression Recognition by regression Model and Group Sparse Spatio-Temporal Feature Learning
Mind reading with regularized multinomial logistic regression
Mining Subsidence Prediction by Combining Support Vector Machine regression and Interferometric Synthetic Aperture Radar Data
Missing Data and regression Models for Spatial Images
Mixture Dense regression for Object Detection and Human Pose Estimation
Mixture Model for Multiple Instance regression and Applications in Remote Sensing
Mixture of Deep regression Networks for Head Pose Estimation
Mixture of related regressions for head pose estimation
MMFace: A Multi-Metric regression Network for Unconstrained Face Reconstruction
MobileFace: 3D Face Reconstruction with Efficient CNN regression
Mobility using first and second derivatives for kernel-based regression in wireless sensor networks
Modal regression-Based Atomic Representation for Robust Face Recognition and Reconstruction
Modality-Independent regression and Training for Improving Multispectral Pedestrian Detection
Model Ensembles of Artificial Neural Networks and Support Vector regression for Improved Accuracy in the Prediction of Vegetation Conditions and Droughts in Four Northern Kenya Counties
Model Selection for Gaussian Process regression
Model Selection for regression Using VC-Generalization Bounds
Modeling Censored Mobility Demand Through Censored Quantile regression Neural Networks
Modeling Forest Structural Parameters in the Mediterranean Pines of Central Spain using QuickBird-2 Imagery and Classification and regression Tree Analysis (CART)
Modeling label dependence for multi-label classification using the Choquistic regression
Modeling Polarized Reflectance of Natural Land Surfaces Using Generalized regression Neural Networks
Modeling Post-Sunset Equatorial Spread-F Occurrence as a Function of Evening Upward Plasma Drift Using Logistic regression, Deduced from Ionosondes in Southeast Asia
Modeling Soil Moisture from Multisource Data by Stepwise Multilinear regression: An Application to the Chinese Loess Plateau
Modeling the Leaf Area Index of Inner Mongolia Grassland Based on Machine Learning regression Algorithms Incorporating Empirical Knowledge
Modeling Urban Crime Patterns Using Spatial Space Time and regression Analysis
Modelling Housing Rents Using Spatial Autoregressive Geographically Weighted regression: A Case Study in Cracow, Poland
Modelling of Land Surface Temperature Using Gray Level Co-occurrence Matrix and Random Forest regression
Modelling The Relationship Between Land Surface Temperature And Landscape Patterns Of Land Use Land Cover Classification Using Multi Linear regression Models
Modified Large Margin Nearest Neighbor Metric Learning for regression
Modify the Accuracy of MODIS PWV in China: A Performance Comparison Using Random Forest, Generalized regression Neural Network and Back-Propagation Neural Network
Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process regression
Monitoring of Urban Black-Odor Water Based on Nemerow Index and Gradient Boosting Decision Tree regression Using UAV-Borne Hyperspectral Imagery
Monitoring the Spatiotemporal Trajectory of Urban Area Hotspots Using the SVM regression Method Based on NPP-VIIRS Imagery
Monocular 6-DoF Pose Estimation for Non-cooperative Spacecrafts Using Riemannian regression Network
Monocular Depth Estimation Using Neural regression Forest
Monocular Expressive Body regression Through Body-Driven Attention
Monocular, One-stage, regression of Multiple 3D People
monotonic constrained regression framework for histogram equalization and specification, A
Monotonic regression: A New Way for Correlating Subjective and Objective Ratings in Image Quality Research
Mortality Prediction via Logistic regression in Intensive Care Unit Patients with Pneumonia
Motion Compensated Image Coding with a Combined Maximum a Posteriori and regression Algorithm
Mountain c-regressions method
Moving Window regression: A Novel Approach to Ordinal Regression
Moving Window regression: A Novel Approach to Ordinal Regression
MSRC: multimodal spatial regression with semantic context for phrase grounding
MTTR Prediction of railway rolling stock using regression algorithms
Multi-Attribute regression Network for Face Reconstruction
Multi-dropout regression for wide-angle landmark localization
Multi-Feature Fusion via Hierarchical regression for Multimedia Analysis
Multi-focus Image Fusion for Confocal Microscopy Using U-Net regression Map
Multi-Label Classification Scheme Based on Local regression for Retinal Vessel Segmentation
Multi-label Deep regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection
Multi-layer age regression for face age estimation
Multi-modal image registration using fuzzy kernel regression
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise regression and Multi-Modal IoU
Multi-object tracking with robust object regression and association
Multi-Objective Support Vector regression Reduces Systematic Error in Moderate Resolution Maps of Tree Species Abundance
Multi-Oriented and Multi-Lingual Scene Text Detection With Direct regression
Multi-Output Laplacian Dynamic Ordinal regression for Facial Expression Recognition and Intensity Estimation
Multi-output least-squares support vector regression machines
Multi-output regression on the output manifold
Multi-Person Gaze-Following with Numerical Coordinate regression
Multi-Person Pose Estimation With Accurate Heatmap regression and Greedy Association
Multi-scale Non-Local Kernel regression for super resolution
multi-scheme semi-supervised regression approach, A
Multi-stage adaptive regression for online activity recognition
Multi-Target regression via Robust Low-Rank Learning
Multi-task Gaussian Process regression-based Image Super Resolution
Multi-Task Probabilistic regression with Overlap Maximization for Visual Tracking
Multi-View Classification and 3D Bounding Box regression Networks
Multi-View Facial Expression Recognition Based on Group Sparse Reduced-Rank regression
Multi-view Gait Recognition Based on Motion regression Using Multilayer Perceptron
Multi-view robust regression for feature extraction
Multiatlas Segmentation as Nonparametric regression
Multibranch Adversarial regression for Domain Adaptative Hand Pose Estimation
Multimodal Deep regression Bayesian Network for Affective Video Content Analyses, A
Multimodal random forest based tensor regression
Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression
Multinomial Latent Logistic regression for Image Understanding
multiple criteria active learning method for support vector regression, A
Multiple Instance Choquet Integral Classifier Fusion and regression for Remote Sensing Applications
Multiple Instance Models regression for Robust Visual Tracking
Multiple Linear regression Based High-Accuracy Error Prediction Algorithm for Reversible Data Hiding, A
Multiple linear regression for universal steganalysis of images
Multiple regression Analysis for Unmixing of Surface Temperature Data in an Urban Environment
Multiple-Output regression with High-Order Structure Information
Multiple-regression Model Considering Deformation Information for Atmospheric Phase Screen Compensation in Ground-Based SAR, A
multiresolution nonparametric regression and image de-noising, A
Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management
Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data
Multivariate regression on the Grassmannian for Predicting Novel Domains
Multivariate regression via Stiefel Manifold Constraints
Multivariate regression with Gross Errors on Manifold-Valued Data
Multiview Facial Landmark Localization in RGB-D Images via Hierarchical regression With Binary Patterns
MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse regression
MVF-Net: Multi-View 3D Face Morphable Model regression
National-Scale Estimates of Ground-Level PM2.5 Concentration in China Using Geographically Weighted regression Based on 3 km Resolution MODIS AOD
Nesting Patterns of Loggerhead Sea Turtles (Caretta caretta): Development of a Multiple regression Model Tested in North Carolina, USA
Neural class-specific regression for face verification
Neural Networks vs. Logistic regression: A Comparative Study on a Large Data Set
Neuron matching in C. elegans with robust approximate linear regression without correspondence
New Algorithm for Large-Scale Geographically Weighted regression with K-Nearest Neighbors, A
new algorithm for support vector regression with automatic selection of hyperparameters, A
New Approach for Understanding Urban Microclimate by Integrating Complementary Predictors at Different Scales in regression and Machine Learning Models, A
New Efficient regression Method for Local AADT Estimation via SCAD Variable Selection
New Event Detection with Nearest Neighbor, Support Vector Machines, and Kernel regression
New Hardware Architecture for the Ridge regression Optical Flow Algorithm, A
New Method for Mining regression Classes in Large Data Sets, A
new method for sparsity control in support vector classification and regression, A
New Performance Evaluation Method for Face Identification: regression Analysis of Misidentification Risk, A
Niche Modeling of Dengue Fever Using Remotely Sensed Environmental Factors and Boosted regression Trees
No reference image quality assessment metric via multi-domain structural information and piecewise regression
No-Reference 3D Mesh Quality Assessment Based on Dihedral Angles Model and Support Vector regression
No-Reference PSNR Identification of MPEG Video Using Spectral regression and Reduced Model Polynomial Networks
No-Reference Video Quality Assessment using novel hybrid features and two-stage hybrid regression for score level fusion
Noise Reduction and Gap Filling of fAPAR Time Series Using an Adapted Local regression Filter
Noise-Sampling Cross Entropy Loss: Improving Disparity regression Via Cost Volume Aware Regularizer
Non-concept density estimation via kernel regression for concept ranking in weakly labelled data
Non-linear Generalisation of PDMs using Polynomial regression, A
Non-linear parametric Bayesian regression for robust background subtraction
Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data
Non-Local Kernel regression for Image and Video Restoration
Non-negative low-rank adaptive preserving sparse matrix regression model for supervised image feature selection and classification
Non-Parametric Blur Map regression for Depth of Field Extension
Non-Stationary Modeling of Microlevel Road-Curve Crash Frequency with Geographically Weighted regression
Nonconvex clustering via L0 fusion penalized regression
Nonlinear Distribution regression for Remote Sensing Applications
Nonlinear Eye Gaze Mapping Function Estimation via Support Vector regression
Nonlinear Generalization of Point Distribution Models Using Polynomial regression
Nonlinear regression analysis of the hemodynamic response in functional MRI
Nonlinear regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing, A
Nonlinear regression of Saliency Guided Proposals for Unsupervised Segmentation of Dynamic Scenes
Nonlinear regression Technique for Manifold Valued Data with Applications to Medical Image Analysis, A
Nonlinear regression via Deep Negative Correlation Learning
Nonlinear regression via incremental decision trees
Nonlinear regression with Logistic Product Basis Networks
Nonlinear regression-Based GNSS Multipath Dynamic Map Construction and Its Application in Deep Urban Areas
Nonlinear Shape regression for Filtering Segmentation Results from Calcium Imaging
nonlocal L0 model with regression predictor for saliency detection and extension, A
Nonparametric Bayesian regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes
Nonparametric log spectrum estimation using disconnected regression splines and genetic algorithms
Nonparametric regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies
Nonparametric regression Between General Riemannian Manifolds
Nonparametric regression for Estimation of Spatiotemporal Mountain Glacier Retreat From Satellite Images
Nonparametric regression Modeling with Equiprobable Topographic Maps and Projection Pursuit Learning with Application to PET Image-Processing
Nonrigid shape recovery by Gaussian process regression
Nonuniform Lattice regression for Modeling the Camera Imaging Pipeline
Normalization in Unsupervised Segmentation Parameter Optimization: A Solution Based on Local regression Trend Analysis
Normalization of the temporal effect on the MODIS land surface temperature product using random forest regression
Novel Discriminative Virtual Label regression Method for Unsupervised Feature Selection, A
Novel Dynamic Segmentation for Human-Posture Learning System Using Hidden Logistic regression
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward regression and Elastic Multilayer Perceptron Classifier for MCI Identification
Novel Ensemble of Multivariate Adaptive regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility
Novel Ensemble of Multivariate Adaptive regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility
Novel Ensemble of Multivariate Adaptive regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility
Novel Measurement Matrix Based on regression Model for Block Compressed Sensing, A
Novel Nonlinear regression Approach for Efficient and Accurate Image Matting, A
novel part-based cascaded regression algorithm research combining with pose estimation, The
novel regression method for harmonic analysis of time series, A
Novel Speech Emotion Recognition Method via Incomplete Sparse Least Square regression, A
Novel Strategy for Global Lane Detection Based on Key-Point regression and Multi-Scale Feature Fusion, A
Novel Transferable Sparse regression Method for Cross-Database Facial Expression Recognition, A
Nuclear Norm Based Matrix regression with Applications to Face Recognition with Occlusion and Illumination Changes
Nuclear-L_1 Norm Joint regression for Face Reconstruction and Recognition
Nuclear-L_1 Norm Joint regression for Face Reconstruction and Recognition with Mixed Noise
Nutrient Prediction for Tef (Eragrostis tef) Plant and Grain with Hyperspectral Data and Partial Least Squares regression: Replicating Methods and Results across Environments
NVR-Net: Normal Vector Guided regression Network for Disentangled 6D Pose Estimation
Object Detection in Remote Sensing Images Based on Improved Bounding Box regression and Multi-Level Features Fusion
Object segmentation with deep regression
Object Tracking via Multi-task Gaussian-Laplacian regression
Object tracking with adaptive elastic net regression
Object-Based Area-to-Point regression Kriging for Pansharpening
Object-Based Visual Saliency via Laplacian Regularized Kernel regression
Occluded face recognition using low-rank regression with generalized gradient direction
Occlusion Resistant Object Rotation regression from Point Cloud Segments
Occlusion-Free Face Alignment: Deep regression Networks Coupled with De-Corrupt AutoEncoders
Omnidirectional Localization in vSLAM with Uncertainty Propagation and Bayesian regression
On a Kernel regression Approach to Machine Translation
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
On Evolutionary Approaches to Unsupervised Nearest Neighbor regression
On Fuzzy Nonlinear-regression For Image-Enhancement
On Improving Bounding Box regression Towards Accurate Object Detection and Tracking
On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector regression
On Monocular Depth Estimation and Uncertainty Quantification Using Classification Approaches for regression
On regression Losses for Deep Depth Estimation
On Robust regression in Photogrammetric Point Clouds
On splitting dataset: Boosting Locally Adaptive regression Kernels for car localization
On the Convergence of the IRLS Algorithm in Non-Local Patch regression
On the exact minimization of saturated loss functions for robust regression and subspace estimation
On the improvement of no-reference mean opinion score estimation accuracy by following a frame-level regression approach
On Unsupervised Segmentation of Remotely-Sensed Imagery Using Nonlinear-regression
On vector piece-wise regression and clustering
On-line Support Vector regression of the transition model for the Kalman filter
On-the-Fly Adaptation of regression Forests for Online Camera Relocalisation
One Millisecond Face Alignment with an Ensemble of regression Trees
One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape regression, The
Online algorithm based on support vectors for orthogonal regression
Online and Batch Supervised Background Estimation Via L1 regression
Online Character Recognition using regression Techniques
Online Human Action Detection Using Joint Classification-regression Recurrent Neural Networks
Online regression of Grandmother-Cell Responses with Visual Experience Learning for Face Recognition
Online Sparse Gaussian Process regression and Its Applications
Online Sparse Matrix Gaussian Process regression and Vision Applications
Online-adaptive classification and regression network with sample-efficient meta learning for long-term tracking
OPD-Net: Prow Detection Based on Feature Enhancement and Improved regression Model in Optical Remote Sensing Imagery
Optimal Bayesian Transfer regression
Optimal Partitioning for Classification and regression Trees
Optimal Population Modeling Approach Using Geographically Weighted regression Based on High-Resolution Remote Sensing Data: A Case Study in Dhaka City, Bangladesh, An
Optimal Regularization Parameter Estimation for Spectral regression Discriminant Analysis
Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in regression Tree Models Based on Remotely-Sensed Data, An
Optimized Block-regression-based Fusion Algorithm For Pansharpening Of Very High Resolution Satellite Imagery, The
Optimized regression for Efficient Function Evaluation
Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process regression
Ord2Seq: Regarding Ordinal regression as Label Sequence Prediction
Ordered-Subset Ridge regression in Image Reconstruction
Ordinal Logistic regression With Partial Proportional Odds for Depression Prediction
Ordinal regression Using Noisy Pairwise Comparisons for Body Mass Index Range Estimation
Ordinal regression with Multiple Output CNN for Age Estimation
Ordinal regression with Neuron Stick-Breaking for Medical Diagnosis
Orthographic Projection Linear regression for Single Image 3D Human Pose Estimation
outdoor time scenes simulation scheme based on support vector regression with radial basis function on DCT domain, An
Output-associative RVM regression for dimensional and continuous emotion prediction
Overlapping Domain Cover for Scalable and Accurate regression Kernel Machines
P2T: Part-to-Target Tracking via Deep regression Learning
Pairing of a Wavelet Basis With a Mildly Redundant Analysis via Subband regression, The
Pairwise Linear regression Classification for Image Set Retrieval
Pairwise linear regression: An efficient and fast multi-view facial expression recognition
Pairwise Relations Oriented Discriminative regression
Panoptic-Deeplab-DVA: Improving Panoptic Deeplab with Dual Value Attention and Instance Boundary Aware regression
Pansharpening: Context-Based Generalized Laplacian Pyramids by Robust regression
Parametric and Multivariate Uncertainty Calibration for regression and Object Detection
Parametric dimensionality reduction by unsupervised regression
Parametric regression on the Grassmannian
PARN: Pyramidal Affine regression Networks for Dense Semantic Correspondence
Part Based regression with Dimensionality Reduction for Colorizing Monochrome Face Images
Partial linear regression for speech-driven talking head application
Passenger Flow Prediction of Scenic Spots in Jilin Province Based on Convolutional Neural Network and Improved Quantile regression Long Short-Term Memory Network
Pattern recognition by polynomial canonical regression
PDM-ENLOR: Learning Ensemble of Local PDM-Based regressions
Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network
Pedestrian detection framework based on magnetic regional regression
Penalized-regression-based bicluster localization
Performance enhancement of respiratory tumor motion prediction using adaptive support vector regression: Comparison with adaptive neural network method
Performance evaluation of relevance vector machines as a nonlinear regression method in real-world chemical spectroscopic data
Performance evaluation of soft color texture descriptors for surface grading using experimental design and logistic regression
Performance Evaluation of the Multiple Quantile regression Model for Estimating Spatial Soil Moisture after Filtering Soil Moisture Outliers
Persistent Homology in Sparse regression and Its Application to Brain Morphometry
Person Re-identification in Identity regression Space
Person-independent head pose estimation based on random forest regression
Personalised face neutralisation based on subspace bilinear regression
Personalized Image Aesthetic Quality Assessment by Joint regression and Ranking
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark regression
Perspective-Aware Density regression for Crowd Counting
Phase regression approach for estimating the parameters of a noisy multifrequency signal
Photometric Stereo Using Constrained Bivariate regression for General Isotropic Surfaces
Photometric Stereo Using Sparse Bayesian regression for General Diffuse Surfaces
Pix2Pose: Pixel-Wise Coordinate regression of Objects for 6D Pose Estimation
Pixel Position regression: Application to Medical Image Segmentation
Plane-extraction from depth-data using a Gaussian mixture regression model
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models
Plausible Uncertainties for Human Pose regression
PLSNet: A simple network using Partial Least Squares regression for image classification
PM2.5 Estimation and Spatial-Temporal Pattern Analysis Based on the Modified Support Vector regression Model and the 1 km Resolution MAIAC AOD in Hubei, China
Point-to-Point regression PointNet for 3D Hand Pose Estimation
PolyLaneNet: Lane Estimation via Deep Polynomial regression
Polynomial regression Network for Variable-number Lane Detection
Polynomial regression on Riemannian Manifolds
Polynomial regression Spectra Reconstruction of Arctic Charr's RGB
Polynomial wavelet regression for images with irregular boundaries
Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker
Pool-based unsupervised active learning for regression using iterative representativeness-diversity maximization (iRDM)
Population Shape regression from Random Design Data
Population Trends and Urbanization: Simulating Density Effects Using a Local regression Approach
Pose estimation and tracking using multivariate regression
Pose estimation by local procrustes regression
Pose Estimation of Kinematic Chain Instances via Object Coordinate regression
Pose Guided Person Image Generation With Hidden P-Norm regression
Pose-Independent Facial Action Unit Intensity regression Based on Multi-Task Deep Transfer Learning
PoseTED: A Novel regression-Based Technique for Recognizing Multiple Pose Instances
Poseur: Direct Human Pose regression with Transformers
Positive-Congruent Training: Towards regression-Free Model Updates
Postcapture Focusing Using regression Forest
Potential of Multiway PLS (N-PLS) regression Method to Analyse Time-Series of Multispectral Images: A Case Study in Agriculture
Predict water quality based on multiple kernel least squares support vector regression and genetic algorithm
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector regression
Predicting Grassland Leaf Area Index in the Meadow Steppes of Northern China: A Comparative Study of regression Approaches and Hybrid Geostatistical Methods
Predicting Popularity of Online Videos Using Support Vector regression
Predicting the Perceptual Demands of Urban Driving with Video regression
Predicting Traffic Flow Based on Average Speed of Neighbouring Road Using Multiple regression
Predicting Vertical Acceleration of Railway Wagons Using regression Algorithms
Prediction and Uncertainty Capabilities of Quantile regression Forests in Estimating Spatial Distribution of Soil Organic Matter
Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous regression and Airborne LiDAR Data
Prediction of learning space occupation through WLAN access point data using Kalman filter and gradient boosting regression
Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares regression
Prediction of Satellite Image Sequence for Weather Nowcasting Using Cluster-Based Spatiotemporal regression
Prediction of satellite images using fuzzy rule based Gaussian regression
Predictive Cardiac Motion Modeling and Correction With Partial Least Squares regression
Principal regression analysis
Principal Surfaces from Unsupervised Kernel regression
Privileged information-based conditional regression forest for facial feature detection
Privileged Information-Based Conditional Structured Output regression Forest for Facial Point Detection
Privileged Multi-Target Support Vector regression
Prnet: A Progressive regression Network for No-Reference User-Generated-Content (UGC) Video Quality Assessment
Probabilistic Attention Model with Occlusion-aware Texture regression for 3D Hand Reconstruction from a Single RGB Image, A
Probabilistic Deep Ordinal regression Based on Gaussian Processes
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise regression
Probabilistic Prediction of Bus Headway Using Relevance Vector Machine regression
Probabilistic regression for Visual Tracking
Procrustean regression Networks: Learning 3d Structure of Non-rigid Objects from 2d Annotations
Procrustean regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation
Progressive Contour regression for Arbitrary-Shape Scene Text Detection
Project-Out Cascaded regression with an application to face alignment
Projective Manifold Gradient Layer for Deep Rotation regression
PROPEL: Probabilistic Parametric regression Loss for Convolutional Neural Networks
Pupil Localization for Ophthalmic Diagnosis Using Anchor Ellipse regression
Putting People in their Place: Monocular regression of 3D People in Depth
PyMAF-X: Towards Well-Aligned Full-Body Model regression From Monocular Images
PyMAF: 3D Human Pose and Shape regression with Pyramidal Mesh Alignment Feedback Loop
QMRNet: Quality Metric regression for EO Image Quality Assessment and Super-Resolution
Quality scores for deep regression systems
Quantile regression of interval-valued data
Quantitative analysis of facial soft tissue using weighted cascade regression model applicable for facial plastic surgery
Quantitative Monitoring of Leaf Area Index in Rice Based on Hyperspectral Feature Bands and Ridge regression Algorithm
Query-Guided regression Network with Context Policy for Phrase Grounding
R2-ResNeXt: A ResNeXt-Based regression Model with Relative Ranking for Facial Beauty Prediction
Radar Image Series Denoising of Space Targets Based on Gaussian Process regression
Radiometric Normalization of Temporal Images Combining Automatic Detection of Pseudo-Invariant Features from the Distance and Similarity Spectral Measures, Density Scatterplot Analysis, and Robust regression
Rainfall Model Based on a Geographically Weighted regression Algorithm for Rainfall Estimations over the Arid Qaidam Basin in China, A
Random Cascaded-regression Copse for Robust Facial Landmark Detection
Random forest regression for manifold-valued responses
Random Forest regression Model for Estimation of the Growing Stock Volumes in Georgia, USA, Using Dense Landsat Time Series and FIA Dataset
Random Forests with Bagging and Genetic Algorithms Coupled with Least Trimmed Squares regression for Soil Moisture Deficit Using SMOS Satellite Soil Moisture
Random Noise Suppression of Magnetic Resonance Sounding Data with Intensive Sampling Sparse Reconstruction and Kernel regression Estimation
Random Subspace Supervised Descent Method for regression Problems in Computer Vision
Rank consistent ordinal regression for neural networks with application to age estimation
Rate control based on linear regression for H.264/MPEG-4 AVC
Rating prediction via generative convolutional neural networks based regression
Reading Arbitrary-shaped Scene Text from Images Through Spline regression and Rectification
Reading grid for feature selection relevance criteria in regression
Real Time Head Pose Estimation with Random regression Forests
Real-Time 3d Face Reconstruction from Single Image Using End-To-End Cnn regression
Real-Time and Accurate Segmentation of 3-D Point Clouds Based on Gaussian Process regression
Real-Time Articulated Hand Pose Estimation Using Semi-supervised Transductive regression Forests
Real-Time Eye Pupil Localization Using Hough regression Forest
Real-time facial feature detection using conditional regression forests
Real-Time Generic Object Tracking via Recurrent regression Network
Real-Time Lane Estimation Using Deep Features and Extra Trees regression
Real-Time Pose regression with Fast Volume Descriptor Computation
Real-Time RGB-D Activity Prediction by Soft regression
Real-Time Tracking via Deformable Structure regression Learning
Recalibrating Features and regression for Oriented Object Detection
Recognizing Multiple Objects via regression Incorporating the Co-occurrence of Categories
Reconstructing cloud-contaminated NDVI images with SAR-Optical fusion using spatio-temporal partitioning and multiple linear regression
Recovering Surface Normal and Arbitrary Images: A Dual regression Network for Photometric Stereo
Recurrent Convolutional Neural Network regression for Continuous Pain Intensity Estimation in Video
Recurrent Convolutional Shape regression
Recurrent Shape regression
Recursive Gaussian process: On-line regression and learning
Recursive reduced least squares support vector regression
Reduced-Rank Tensor-on-Tensor regression and Tensor-Variate Analysis of Variance
Reducing examples to accelerate support vector regression
Refining Time-Space Traffic Diagrams: A Simple Multiple Linear regression Model
Reflective regression of 2D-3D Face Shape Across Large Pose
regional distance regression network for monocular object distance estimation, A
Regional Mapping of Groundwater Potential in Ar Rub Al Khali, Arabian Peninsula Using the Classification and regression Trees Model
Regional Precipitation Model Based on Geographically and Temporally Weighted regression Kriging
Regional Scale Rain-Forest Height Mapping Using regression-Kriging of Spaceborne and Airborne LiDAR Data: Application on French Guiana
regression
regression analysis and automorphic orbits in free groups of rank 2
regression Analysis of Errors of SAR-based DEMs and Controlling Factors
regression Analysis of Subsidence in the Como Basin (Northern Italy): New Insights on Natural and Anthropic Drivers from InSAR Data
regression and Classification Approaches to Eye Localization in Face Images
regression and Evaluation on a Forward Interpolated Version of the Great Circle Arcs-Based Distortion Metric of Map Projections
regression Approaches to Small Sample Inverse Covariance Matrix Estimation for Hyperspectral Image Classification
regression as a Tool to Measure Segmentation Quality and Preliminary Indicator of Diseased Lungs
regression based automatic face annotation for deformable model building
regression Based Bandwidth Selection for Segmentation Using Parzen Windows
regression based landmark estimation and multi-feature fusion for visual speech recognition
regression Based Non-frontal Face Synthesis for Improved Identity Verification
regression Based Trajectory Learning and Prediction for Human Motion
regression by Re-Ranking
regression Committee Machine and Petrophysical Model Jointly Driven Parameters Prediction From Wireline Logs in Tight Sandstone Reservoirs
regression Facial Attribute Classification via simultaneous dictionary learning
regression Forests for Efficient Anatomy Detection and Localization in CT Studies
regression from local features for viewpoint and pose estimation
regression from patch-kernel
regression Guided by Relative Ranking Using Convolutional Neural Network (R^3CNN) for Facial Beauty Prediction
regression Guided Deformable Models for Segmentation of Multiple Brain ROIs
regression Kriging for Improving Crop Height Models Fusing Ultra-Sonic Sensing with UAV Imagery
regression Model in Tensor PCA Subspace for Face Image Super-resolution Reconstruction, A
regression Nearest Neighbor in Face Recognition
regression of Instance Boundary by Aggregated CNN and GCN
regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications
regression Segmentation for M3 Spinal Images
regression tracking with data relevance determination
regression Tree CNN for Estimation of Ground Sampling Distance Based on Floating-Point Representation
regression Tree Fields: An efficient, non-parametric approach to image labeling problems
regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data
regression Wavelet Analysis for Near-Lossless Remote Sensing Data Compression
regression with interval output values
regression with residual neural network for vanishing point detection
regression-based Active Appearance Model initialization for facial feature tracking with missing frames
regression-based approach to recover human pose from voxel data, A
regression-Based Cardiac Motion Prediction From Single-Phase CTA
regression-Based Facial Expression Optimization
regression-based framework for estimating the objective quality of HEVC coding units and video frames, A
regression-based Hand Pose Estimation from Multiple Cameras
regression-Based High-Pass Modulation Pansharpening Approach, A
regression-Based Human Motion Capture From Voxel Data
regression-based intensity estimation of facial action units
regression-based label fusion for multi-atlas segmentation
regression-based metric learning
regression-Based Motion Vector Field for Video Coding
regression-Based Multi-view Facial Expression Recognition
regression-based parking space availability prediction for the Ubike system
regression-Based Prediction for Blocking Artifact Reduction in JPEG-Compressed Images
regression-Based Retrieval of Boreal Forest Biomass in Sloping Terrain Using P-Band SAR Backscatter Intensity Data
regression-Based Three-Dimensional Pose Estimation for Texture-Less Objects
regression-Based User Calibration Framework for Real-Time Gaze Estimation, A
regression-Selective Feature-Adaptive Tracker for Visual Object Tracking
regression-then-Fusion or Fusion-then-Regression? A Theoretical Analysis for Generating High Spatiotemporal Resolution Land Surface Temperatures
regression-then-Fusion or Fusion-then-Regression? A Theoretical Analysis for Generating High Spatiotemporal Resolution Land Surface Temperatures
Regularization parameter estimation for spectral regression discriminant analysis based on perturbation theory
Regularized Discriminative Spectral regression Method for Heterogeneous Face Matching
Regularized logistic regression algorithm learns progressive sweep algorithm
Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization
Regularized Multinomial regression Method for Hyperspectral Data Classification via Pathwise Coordinate Optimization
Regularizing CNN Transfer Learning With Randomised regression
Regularizing face verification nets for pain intensity regression
Rejecting Outliers and Esitmating Errors in an Orthogonal regression Framework
Relations Between Higher Order TV Regularization and Support Vector regression
Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression
Reliable Location and regression Estimates with Application to Range Image Segmentation
Reliable metrics-based linear regression model for multilevel privacy measurement of face instances
Reliable Multilane Detection and Classification by Utilizing CNN as a regression Network
Remote Sensing and Multivariate Logistic regression Model for The Estimation of Urban Expansion (case of Darkhan City, Mongolia)
Remote Sensing Approach for Surface Urban Heat Island Modeling in a Tropical Colombian City Using regression Analysis and Machine Learning Algorithms, A
Remote Sensing Based Yield Estimation of Rice (Oryza Sativa L.) Using Gradient Boosted regression in India
Removing the Bias of Integral Pose regression
Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel regression
Research on automatic determining clustering centers algorithm based on linear regression analysis
Research on the Ionospheric Delay of Long-Range Short-Wave Propagation Based on a regression Analysis
Residual regression With Semantic Prior for Crowd Counting
Retargeted regression Methods for Multi-label Learning
Rethinking the Heatmap regression for Bottom-up Human Pose Estimation
Retinal Layer Segmentation in OCT Images With Boundary regression and Feature Polarization
Retrieval of Chlorophyll-a and Total Suspended Solids Using Iterative Stepwise Elimination Partial Least Squares (ISE-PLS) regression Based on Field Hyperspectral Measurements in Irrigation Ponds in Higashihiroshima, Japan
Retrieval of Soil Water Content in Saline Soils from Emitted Thermal Infrared Spectra Using Partial Linear Squares regression
Retrieval of Summer Sea Ice Concentration in the Pacific Arctic Ocean from AMSR2 Observations and Numerical Weather Data Using Random Forest regression
Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM regression Models
Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal regression
Revisiting the regression between Raw Outputs of Image Quality Metrics and Ground Truth Measurements
Revitalizing regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation
REVT: Robust and Efficient Visual Tracking by Region-Convolutional regression Network
Reweighted Sparse regression for Hyperspectral Unmixing
RGBD object pose recognition using local-global multi-kernel regression
Ridge regression based classifiers for large scale class imbalanced datasets
Ridge regression for Two Dimensional Locality Preserving Projection
RMS-Net: regression and Masking for Soccer Event Spotting
Road Extraction in SAR Images Using Ordinal regression and Road-Topology Loss
Robust and Accurate Shape Model Fitting Using Random Forest regression Voting
Robust and Accurate Shape Model Matching Using Random Forest regression-Voting
Robust and Efficient Subspace Segmentation via Least Squares regression
Robust and Scalable Gaussian Process regression and Its Applications
Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral regression, A
robust background regression based score estimation algorithm for hyperspectral anomaly detection, A
Robust Bounding Box regression for Small Object Detection
Robust embedding regression for semi-supervised learning
Robust Face Alignment with Random Forest: Analysis of Initialization, Landmarks regression, and Shape Regularization Methods
Robust face hallucination using ensemble of feature-based regression functions and classifiers
Robust Facial Landmark Detection via Heatmap-Offset regression
Robust facial landmark tracking via cascade regression
Robust feature selection via L2,1-norm in finite mixture of regression
Robust fuzzy clustering for multiple instance regression
Robust Gaussian process regression with a bias model
Robust Geodesic regression
Robust graph regularised sparse matrix regression for two-dimensional supervised feature selection
Robust head pose estimation via Convex Regularized Sparse regression
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear regressions
Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel regression
robust intelligent control for a variable speed wind turbine based on general regression neural network, A
Robust Jointly Sparse regression with Generalized Orthogonal Learning for Image Feature Selection
Robust Kernel regression for Restoration and Reconstruction of Images from Sparse Noisy Data
Robust Least Squares regression for Subspace Clustering: A Multi-View Clustering Perspective
Robust Least Squares Twin Support Vector regression With Adaptive FOA and PSO for Short-Term Traffic Flow Prediction
Robust Linear and Support Vector regression
Robust Locally Weighted regression Techniques for Ground Surface Points Filtering in Mobile Laser Scanning Three Dimensional Point Cloud Data
Robust Low-Rank Regularized regression for Face Recognition with Occlusion
Robust Luminance and Chromaticity for Matte regression in Polynomial Texture Mapping
Robust Matrix regression for Illumination and Occlusion Tolerant Face Recognition
robust method for linear regression of symbolic interval data, A
Robust Nuclear Norm Regularized regression for Face Recognition with Occlusion
Robust Nuclear Norm-Based Matrix regression With Applications to Robust Face Recognition
Robust Optical Flow Computation Based on Least-Median-of-Squares regression
Robust Optimization for Deep regression
Robust photometric stereo using sparse regression
Robust Proximal Femur Segmentation in Conventional X-Ray Images via Random Forest regression on Multi-resolution Gradient Features
Robust real-time face alignment based on ASM with boosting regression for displacement prediction
Robust Recovery of Temporal Overlap Between Network Activity Using Transient-Informed Spatio-Temporal regression
Robust regression
Robust regression
Robust regression and Outlier Detection
Robust regression and Outlier Detection with SVR: Application to Optic Flow Estimation
Robust regression for Data with Multiple Structures
Robust regression for Face Recognition
Robust regression for face recognition
Robust regression for image binarization under heavy noise and nonuniform background
Robust regression for the Detection of Independent 3D Motion by a Binocular Observer
Robust regression Methods for Computer Vision: A Review
Robust regression of Scattered Data With Adaptive Spline-Wavelets
Robust regression on image manifolds for ordered label denoising
Robust regression with extreme support vectors
Robust regression with projection based m-estimators
Robust RVM regression using sparse outlier model
Robust Shape regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA
Robust surface normal estimation via greedy sparse regression
Robust twin support vector regression based on rescaled Hinge loss
Robust virtual frontal face synthesis from a given pose using regularized linear regression
ROC analysis in ordinal regression learning
ROC curves for regression
Rotated cascade R-CNN: A shape robust detector with coordinate regression
Rotation-Sensitive regression for Oriented Scene Text Detection
Rule extraction with guarantees from regression models
Rule-Based Classification Systems Using Classification and regression Tree (CART) Analysis
SADRNet: Self-Aligned Dual Face regression Networks for Robust 3D Dense Face Alignment and Reconstruction
Safe Feature Elimination Rule for L_1-Regularized Logistic regression, A
Safe Landing Zones Detection for UAVs Using Deep regression
Saliency Detection using regression trees on hierarchical image segments
saliency-weighted orthogonal regression-based similarity measure for entropic graphs, A
Sample complexity of rank regression using pairwise comparisons
Sampling strategies for performance improvement in cascaded face regression
Satellite Pose Estimation with Deep Landmark regression and Nonlinear Pose Refinement
Satellite-Based Land Use regression Model of Ambient NO2 with High Spatial Resolution in a Chinese City, A
Satellite-Based Mapping of High-Resolution Ground-Level PM2.5 with VIIRS IP AOD in China through Spatially Neural Network Weighted regression
Scalable Multi-View Semi-Supervised Classification via Adaptive regression
Scalable Penalized regression for Noise Detection in Learning with Noisy Labels
Scale Effects of the Relationships between Urban Heat Islands and Impact Factors Based on a Geographically-Weighted regression Model
Scale-Adaptive Deconvolutional regression Network for Pedestrian Detection
Scene Coordinate regression Forests for Camera Relocalization in RGB-D Images
Scene Coordinate regression with Angle-Based Reprojection Loss for Camera Relocalization
Scene text extraction based on edges and support vector regression
SDGH-Net: Ship Detection in Optical Remote Sensing Images Based on Gaussian Heatmap regression
Sea Ice Thickness Estimation Based on regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission
Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process regression and Gap-Filled Landsat 8 OLI Reflectance
Seemingly unrelated regression modeling of urban air quality by direct Monte Carlo algorithm
Segmentation of Nuclei in Histopathology Images by Deep regression of the Distance Map
Segmentation of Right Ventricle in Cardiac MR Images Using Shape regression
Segmentation of the True Lumen of Aorta Dissection via Morphology-Constrained Stepwise Deep Mesh regression
Segmentation-Free Estimation of Kidney Volumes in CT with Dual regression Forests
Segmented Processing Approach of Eigenvector Spatial Filtering regression for Normalized Difference Vegetation Index in Central China, A
Self Scaled Regularized Robust regression
Self-Adaptive Induction of regression Trees
Self-Dictionary regression for Hyperspectral Image Super-Resolution
Self-learning approach to color demosaicking via support vector regression
Self-paced Deep regression Forests with Consideration on Underrepresented Examples
Self-Supervised Multiscale Adversarial regression Network for Stereo Disparity Estimation
Self-Trained Deep Ordinal regression for End-to-End Video Anomaly Detection
Semantic Graph Convolutional Networks for 3D Human Pose regression
Semantic segmentation of RGBD images based on deep depth regression
Semi-Supervised Classification via Local Spline regression
Semi-Supervised Image Classification Based on Local and Global regression
Semi-supervised Kernel regression Using Whitened Function Classes
Semi-supervised multi-output image manifold regression
semi-supervised regression model for mixed numerical and categorical variables, A
Semi-Supervised regression via Local Block Coordinate
Semi-supervised regression with temporal image sequences
Semisupervised Dimensionality Reduction and Classification Through Virtual Label regression
Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic regression With Active Learning
Semisupervised PSO-SVM regression for Biophysical Parameter Estimation
Sequence Alignment by regression Coding
Sequential Poisson regression in Diffusion Networks
Sequentially adaptive active appearance model with regression-based online reference appearance template
SGCRSR: Sequential gradient constrained regression for single image super-resolution
Shape Augmented regression for 3D Face Alignment
Shape Augmented regression Method for Face Alignment
Shape Deformation: SVM regression and Application to Medical Image Segmentation
Shape from focus using kernel regression
Shape from Selfies: Human Body Shape Estimation Using CCA regression Forests
Shape-Constrained Gaussian Process regression for Facial-Point-Based Head-Pose Normalization
Ship Size Extraction for Sentinel-1 Images Based on Dual-Polarization Fusion and Nonlinear regression: Push Error Under One Pixel
Shuffled Linear regression with Outliers in Both Covariates and Responses
SiamCAR: Siamese Fully Convolutional Classification and regression for Visual Tracking
Siamese regression Tracking With Reinforced Template Updating
Sieving regression Forest Votes for Facial Feature Detection in the Wild
Simple and Effective Approaches for Uncertainty Prediction in Facial Action Unit Intensity regression
Simple Geodesic regression for Image Time-Series
Simple Spatio-Temporal Data Fusion Method Based on Linear regression Coefficient Compensation, A
Simple very deep convolutional network for robust hand pose regression from a single depth image
simplified nonlinear regression method for human height estimation in video surveillance, A
Simulated Data to Estimate Real Sensor Events: A Poisson-regression-Based Modelling
Simulating the Spatial Heterogeneity of Housing Prices in Wuhan, China, by Regionally Geographically Weighted regression
Simulation of Dynamic Urban Growth with Partial Least Squares regression-Based Cellular Automata in a GIS Environment
Simultaneous Cascaded regression
Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression
Single image dehazing using kernel regression model and dark channel prior
Single image super-resolution using dictionary-based local regression
Single Image Super-Resolution Using Gaussian Process regression
Single Image Super-Resolution Using Gaussian Process regression With Dictionary-Based Sampling and Student-t Likelihood
Single Image Super-Resolution Using Global regression Based on Multiple Local Linear Mappings
Single image super-resolution using locally adaptive multiple linear regression
Single Image Super-Resolution via Locally Regularized Anchored Neighborhood regression and Nonlocal Means
Single image super-resolution via projective dictionary learning with anchored neighborhood regression
Single image super-resolution via sparse KPCA and regression
Single Image Super-Resolution With Non-Local Means and Steering Kernel regression
Single object tracking using offline trained deep regression networks
Single-Image Super-Resolution Based on Compact KPCA Coding and Kernel regression
Single-Image Super-Resolution by Subdictionary Coding and Kernel regression
Single-Image Super-Resolution Using Active-Sampling Gaussian Process regression
Single-Image Super-Resolution Using Sparse regression and Natural Image Prior
Single-Image Super-Resolution via Sparse Coding regression
Sinkhole Detection and Characterization Using LiDAR-Derived DEM with Logistic regression
SK-SVR: Sigmoid kernel support vector regression based in-scale single image super-resolution
Skin detection via linear regression tree
Sliced inverse regression with conditional entropy minimization
Sliding Line Point regression for Shape Robust Scene Text Detection
SLiKER: Sparse loss induced kernel ensemble regression
SMART: Joint Sampling and regression for Visual Tracking
Smoothing group L1/2 regularized discriminative broad learning system for classification and regression
SMPR: Single-stage multi-person pose regression
SMR: Spatial-Guided Model-Based regression for 3D Hand Pose and Mesh Reconstruction
Soft Labels for Ordinal regression
Soft-Margin Mixture of regressions
Soft-Split Sparse regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease
Softmax regression for ECOC Reconstruction
Soil Moisture Estimation Based on Polarimetric Decomposition and Quantile regression Forests
Soil Moisture Estimation over Vegetated Agricultural Areas: Tigris Basin, Turkey from Radarsat-2 Data by Polarimetric Decomposition Models and a Generalized regression Neural Network
Soil Moisture Retrieval from the CyGNSS Data Based on a Bilinear regression
Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two regression Methods
Soil Salinity Retrieval from Advanced Multi-Spectral Sensor with Partial Least Square regression
SOLARNet: A single stage regression based framework for efficient and robust object recognition in aerial images
Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms
Sparse Bayesian Non-linear regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology
Sparse Bayesian regression for Grouped Variables in Generalized Linear Models
Sparse Bayesian regression for Head Pose Estimation
Sparse conditional copula models for structured output regression
Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 regression
Sparse Kernel Density Construction Using Orthogonal Forward regression With Leave-One-Out Test Score and Local Regularization
Sparse Kernel Reduced-Rank regression for Bimodal Emotion Recognition From Facial Expression and Speech
Sparse Multi-Response Tensor regression for Alzheimer's Disease Study With Multivariate Clinical Assessments
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance
Sparse Multinomial Logistic regression: Fast Algorithms and Generalization Bounds
Sparse Point Estimation for Bayesian regression via Simulated Annealing
Sparse Pose regression via Componentwise Clustering Feature Point Representation
Sparse probabilistic regression for activity-independent human pose inference
Sparse regression analysis for object recognition
Sparse regularized low-rank tensor regression with applications in genomic data analysis
sparse regularized nuclear norm based matrix regression for face recognition with contiguous occlusion, A
Sparse representation and adaptive mixed samples regression for single image super-resolution
sparse version of the ridge logistic regression for large-scale text categorization, A
SparsePose: Sparse-View Camera Pose regression and Refinement
Spatial Analysis of Housing Prices and Market Activity with the Geographically Weighted regression
Spatial and Attribute Neural Network Weighted regression for the Accurate Estimation of Spatial Non-Stationarity
Spatial Approach for Modeling Amphibian Road-Kills: Comparison of regression Techniques, A
Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest regression and Drought Monitoring in Henan Province, A
Spatial Downscaling of Land Surface Temperature over Heterogeneous Regions Using Random Forest regression Considering Spatial Features
Spatial Downscaling of MODIS Land Surface Temperatures Using Geographically Weighted regression: Case Study in Northern China
Spatial Downscaling of NPP-VIIRS Nighttime Light Data Using Multiscale Geographically Weighted regression and Multi-Source Variables
Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple regression
Spatial Gap-Filling of GK2A Daily Sea Surface Temperature (SST) around the Korean Peninsula Using Meteorological Data and regression Residual Kriging (RRK)
Spatial Interaction Modeling of OD Flow Data: Comparing Geographically Weighted Negative Binomial regression (GWNBR) and OLS (GWOLSR)
Spatial Maturity regression for the Classification of Hematopoietic Cells
Spatial Mechanism and Predication of Rural Tourism Development in China: A Random Forest regression Analysis, The
Spatial Morphing Kernel regression for Feature Interpolation
Spatial Non-Stationarity of Influencing Factors of China's County Economic Development Base on a Multiscale Geographically Weighted regression Model
Spatial People Density Estimation from Multiple Viewpoints by Memory Based regression
Spatial Prediction of Landslide Susceptibility Using Logistic regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFT
Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector regression in Sydney, Australia
Spatial Upscaling of Sparse Soil Moisture Observations Based on Ridge regression
Spatial Variations in Fertility of South Korea: A Geographically Weighted regression Approach
Spatially Adaptive Kernel regression Using Risk Estimation
spatially adaptive nonparametric regression image deblurring, A
Spatially and Temporally Weighted regression: A Novel Method to Produce Continuous Cloud-Free Landsat Imagery
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers
Spatio-temporal Salinity Monitoring of the Ghaghara River Using Landsat Time-series Imagery and Multiple regression Analysis
Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression
Spatiotemporal Features and Local Relationship Learning for Facial Action Unit Intensity regression
Spatiotemporal Influence of Urban Environment on Taxi Ridership Using Geographically and Temporally Weighted regression
Spatiotemporal Prediction and Mapping of Heavy Metals at Regional Scale Using regression Methods and Landsat 7
Spatiotemporal Variations of Aerosol Optical Depth and the Spatial Heterogeneity Relationship of Potential Factors Based on the Multi-Scale Geographically Weighted regression Model in Chinese National-Level Urban Agglomerations
Speaker Identification and Verification Using Support Vector Machines and Sparse Kernel Logistic regression
Spectral attribute learning for visual regression
Spectral imaging using consumer-level devices and kernel-based regression
Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares regression
Spectral regression based age determination
Spectral regression Discriminant Analysis for Hyperspectral Image Classification
Spectral regression for Efficient Regularized Subspace Learning
Spectral-Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic regression and Markov Random Fields
Spectral-Spatial Shared Linear regression for Hyperspectral Image Classification
Spectral-Spatial Weighted Sparse regression for Hyperspectral Image Unmixing
Speech emotion recognition based on kernel reduced-rank regression
Speech Privacy for Sound Surveillance Using Super-Resolution Based on Maximum Likelihood and Bayesian Linear regression
Spherical regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres
SPIDAR calibration using Support Vector regression
Spline regression Hashing for Fast Image Search
SPORE: Staged Probabilistic regression for Hand Orientation Inference
SRLSP: A Face Image Super-Resolution Algorithm Using Smooth regression With Local Structure Prior
SSP-Net: Scalable sequential pyramid networks for real-Time 3D human pose regression
Stacked Deformable Part Model with Shape regression for Object Part Localization
Statistical Optimality in Multipartite Ranking and Ordinal regression
Steganalysis by ensemble classifiers with boosting by regression, and post-selection of features
step towards understanding why classification helps regression, A
Straightening warped text lines using polynomial regression
Structured graph based image regression for unsupervised multimodal change detection
Structured Output Ordinal regression for Dynamic Facial Emotion Intensity Prediction
Structured output-associative regression
Structured regression Gradient Boosting
Study of Spatial Soil Moisture Estimation Using a Multiple Linear regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging, A
study on regression spline based local minima approach for gaussian noise reduction in images, A
Subpixel Urban Land Cover Estimation: Comparing Cubist, Random Forests, and Support Vector regression
Subspace clustering by Mixture of Gaussian regression
Subspace Clustering via Variance Regularized Ridge regression
Subspace Segmentation by Correlation Adaptive regression
Super-Resolution of Multi-Observed RGB-D Images Based on Nonlocal regression and Total Variation
Super-resolution using neighbourhood regression with local structure prior
Super-Sparse regression for Fast Age Estimation from Faces at Test Time
Superpixel-Based Mixed Noise Estimation for Hyperspectral Images Using Multiple Linear regression
Supervised and Semi-Supervised Self-Organizing Maps for regression and Classification Focusing on Hyperspectral Data
Supervised descriptor learning for multi-output regression
Supervised feature selection by self-paced learning regression
Supervised Low-Rank Embedded regression (SLRER) for Robust Subspace Learning
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds
Support Vector Machine regression for Robust Speaker Verification in Mismatching and Forensic Conditions
Support Vector Mixture for Classification and regression Problems
Support Vector regression and Classification Based Multi-view Face Detection and Recognition
Support vector regression based image denoising
Support vector regression for multi-view gait recognition based on local motion feature selection
Support Vector regression Methods for Functional Data
Support Vector regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation
Support vector regression-based 3D-wavelet texture learning for hyperspectral image compression
Support Vector regression-Based Downscaling for Intercalibration of Multiresolution Satellite Images
Supporting Agile Change Management by Scenario-Based regression Simulation
Surface Motion Capture Transfer with Gaussian Process regression
Surface Soil Moisture Retrieval from L-Band Radiometry: A Global regression Study
Susceptibility Prediction of Post-Fire Debris Flows in Xichang, China, Using a Logistic regression Model from a Spatiotemporal Perspective
SVM Based regression Schemes for Instruments Fault Accommodation in Automotive Systems
Switching Linear Inverse-regression Model for Tracking Head Pose
Switching regression Models Using Ambiguity and Distance Rejects: Application to Ionogram Analysis
Synthetic-real image domain adaptation for indoor camera pose regression using a 3D model
Systematic IoU-Related Method: Beyond Simplified regression for Better Localization, A
Target Localization Using Ensemble Support Vector regression in Wireless Sensor Networks
Targeting: Logistic regression, Special Cases and Extensions
Teaching UAVs to Race: End-to-End regression of Agile Controls in Simulation
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
Temporally Averaged regression for Semi-Supervised Low-Light Image Enhancement
Tensor Learning for regression
Tensor Linear regression and Its Application to Color Face Recognition
Tensor-Based Filter Design using Kernel Ridge regression
Tensor-based projection using ridge regression and its application to action classification
Text-image super-resolution through anchored neighborhood regression with multiple class-specific dictionaries
Texture Analysis and Classification With Linear regression Model Based on Wavelet Transform
Texture Classification and Retrieval Using Shearlets and Linear regression
Texture-aware edit propagation using nonparametric regression
Texture-based color constancy using local regression
Theoretical Limitations of Allan Variance-based regression for Time Series Model Estimation
Theory and Implementation of linear regression
Three-dimensional Fuzzy Kernel regression framework for registration of medical volume data
Three-DoF pose estimation of asteroids by appearance-based linear regression with divided parameter space
Three-Domain Fuzzy Support Vector regression for Image Denoising and Experimental Studies, A
Time-Aware Multivariate Nearest Neighbor regression Methods for Traffic Flow Prediction
Time-Delay Estimation Using Ground-Penetrating Radar With a Support Vector regression-Based Linear Prediction Method
Tiny Obstacle Discovery by Occlusion-Aware Multilayer regression
Top-down induction of model trees with regression and splitting nodes
Topic regression multi-modal Latent Dirichlet Allocation for image annotation
TORNADO: A Spatio-Temporal Convolutional regression Network for Video Action Proposal
Total least square kernel regression
Touch-Stroke Dynamics Authentication Using Temporal regression Forest
Toward Explainable Artificial Intelligence for regression Models: A methodological perspective
Towards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events
Towards regression-Free Neural Networks for Diverse Compute Platforms
Towards robust cascaded regression for face alignment in the wild
Towards the interpretation of time-varying regularization parameters in streaming penalized regression models
TRACE: 5D Temporal regression of Avatars with Dynamic Cameras in 3D Environments
Tracking of Object with SVM regression
Tracking with general regression
Tracking-by-Fusion via Gaussian Process regression Extended to Transfer Learning
Traffic Volume Prediction With Segment-Based regression Kriging and its Implementation in Assessing the Impact of Heavy Vehicles
Traffic-Incident Detection-Algorithm Based on Nonparametric regression
Training-Free, Generic Object Detection Using Locally Adaptive regression Kernels
Trajectory regression Clustering Technique Combining a Novel Fuzzy C-Means Clustering Algorithm with the Least Squares Method, A
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process regression
Transfer Learning Approach to Heatmap regression for Action Unit Intensity Estimation, A
Transfer Learning Based on Logistic regression
Transfer Learning Based Visual Tracking with Gaussian Processes regression
Transformation of Landsat imagery into pseudo-hyperspectral imagery by a multiple regression-based model with application to metal deposit-related minerals mapping
Transformation of Multispectral Data to Quasi-Hyperspectral Data Using Convolutional Neural Network regression
Travel-time prediction with support vector regression
Tree-Based Locally Linear regression for Image Denoising
TRIC-track: Tracking by regression with Incrementally Learned Cascades
Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic regression
Tuning Parameter Selection for Underdetermined Reduced-Rank regression
TURN TAP: Temporal Unit regression Network for Temporal Action Proposals
Twin relaxed least squares regression with classwise mean constraint for image classification
Twin Support Vector Machine based regression
TwinMARM: Two-Stage Multiscale Adaptive regression Methods for Twin Neuroimaging Data
Two-dimensional jointly sparse robust discriminant regression
Two-Layer Gaussian Process regression With Example Selection for Image Dehazing
Two-level regression of body mass distribution from X-ray image database
Two-Stage Convolutional Part Heatmap regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge
Two-stage method for salt-and-pepper noise removal using statistical jump regression analysis
Two-Stage regression Using Bioimpedance and Temperature for Hydration Assessment During Sports, A
Twofold Convolutional regression Tracking Network With Temporal and Spatial Mechanism, A
Uncertainty Quantification in Depth Estimation via Constrained Ordinal regression
Unconstrained Gaze Estimation Using Random Forest regression Voting
Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality regression Forest
Understanding the Limitations of CNN-Based Absolute Camera Pose regression
Unified Sparse Subspace Learning via Self-Contained regression
unified weight learning and low-rank regression model for robust complex error modeling, A
Unimodal regularisation based on beta distribution for deep ordinal regression
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal regression
Unitary regression Classification With Total Minimum Projection Error for Face Recognition
Universal Bounding Box regression and Its Applications
universal image coding approach using sparse steered Mixture-of-Experts regression, A
Unsupervised Cross-Database Micro-Expression Recognition Using Target-Adapted Least-Squares regression
Unsupervised Domain Adaptation with Robust Deep Logistic regression
Unsupervised feature selection based on spectral regression from manifold learning for facial expression recognition
Unsupervised Image regression for Heterogeneous Change Detection
Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework
Unsupervised Training for 3D Morphable Model regression
Urban Heat Island Growth Modeling Using Artificial Neural Networks and Support Vector regression: A case study of Tehran, Iran
Use of General regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance
Use of ridge regression for improved estimation of kinetic constants from PET data
Using bidimensional regression to assess face similarity
Using Correlated regression Models to Calculate Cumulative Attributes for Age Estimation
Using Different regression Methods to Estimate Leaf Nitrogen Content in Rice by Fusing Hyperspectral LiDAR Data and Laser-Induced Chlorophyll Fluorescence Data
Using Gaussian-Process regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations
Using Geographically Weighted regression to Study the Seasonal Influence of Potential Risk Factors on the Incidence of HFMD on the Chinese Mainland
Using Linear regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn
Using local regression kernels for statistical object detection
Using Ridge regression Models to Estimate Grain Yield from Field Spectral Data in Bread Wheat (Triticum Aestivum L.) Grown under Three Water Regimes
Using Robust regression to Retrieve Soil Moisture from CyGNSS Data
Using sparse regression to learn effective projections for face recognition
Using Subspace Multiple Linear regression for 3D Face Shape Prediction from a Single Image
Using Support Vector regression and Hyperspectral Imaging for the Prediction of Oenological Parameters on Different Vintages and Varieties of Wine Grape Berries
Using support vector regression and segmentation to estimate forest height, biomass and volume from LiDAR transects and Quickbird imagery
Using Support Vector regression to Predict the Overall Equipment Effectiveness Indicator*
Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance regression
Using Window regression to Gap-Fill Landsat ETM+ Post SLC-Off Data
V-SVR+: Support Vector regression With Variational Privileged Information
Validation of a regression Technique for Segmentation of White Matter Hyperintensities in Alzheimer's Disease
Variational Autoencoded regression: High Dimensional Regression of Visual Data on Complex Manifold
Variational Autoencoded regression: High Dimensional Regression of Visual Data on Complex Manifold
Vector ordering and regression learning-based ranking for dynamic summarisation of user videos
Vector valued regression for iron overload estimation
Vector-to-Vector regression via Distributional Loss for Speech Enhancement
Vehicle Trajectory Interpolation Based on Ensemble Transfer regression
Velocity Estimation for Space Infrared Dim Targets Based on Multi-Satellite Observation and Robust Locally Weighted regression
Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression
Video object detection with a convolutional regression tracker
Video Super-Resolution by Adaptive Kernel regression
ViPR: Visual-Odometry-aided Pose regression for 6DoF Camera Localization
Vis-NIR Spectroscopy and PLS regression with Waveband Selection for Estimating the Total C and N of Paddy Soils in Madagascar
Visual aesthetic quality assessment with a regression model
Visual category recognition using Spectral regression and Kernel Discriminant Analysis
Visual comparison based on linear regression model and linear discriminant analysis
Visual Localization by Learning Objects-Of-Interest Dense Match regression
Visual motion based behavior learning using hierarchical discriminant regression
Visual Tracking by Combining the Structure-Aware Network and Spatial-Temporal regression
Visual Tracking Using Particle Filters with Gaussian Process regression
Visual Tracking via Locally Structured Gaussian Process regression
Visual tracking with genetic algorithm augmented logistic regression
Visualization of regression Models Using Discriminative Dimensionality Reduction
Volumetric reconstruction of craniofacial structures from 2D lateral cephalograms by regression forest
Wavelet Reduced Support Vector regression for Efficient and Robust Head Pose Estimation
Wavelet-Based Sparse Reduced-Rank regression for Hyperspectral Image Restoration
Waveletfaces and Linear regression Classification for Face Recognition
Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic regression Model Based on a Variational Method
Weighted solution path algorithm of support vector regression for abnormal data
weightless regression system for predicting multi-modal empathy, A
What Matters For Meta-Learning Vision regression Tasks?
Wildland Fire Susceptibility Mapping Using Support Vector regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing
Window regression: A Spatial-Temporal Analysis to Estimate Pixels Classified as Low-Quality in MODIS NDVI Time Series
Winter Wheat Nitrogen Status Estimation Using UAV-Based RGB Imagery and Gaussian Processes regression
Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into regression Yield Models
Within-Field Yield Prediction in Cereal Crops Using LiDAR-Derived Topographic Attributes with Geographically Weighted regression Models
Wrapped Gaussian Process regression on Riemannian Manifolds
Yield Estimation of Paddy Rice Based on Satellite Imagery: Comparison of Global and Local regression Models
Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares regression
YoTube: Searching Action Proposal Via Recurrent and Static regression Networks
Zero-Shot Domain Adaptation via Kernel regression on the Grassmannian
Zero-Shot Learning via Attribute regression and Class Prototype Rectification
2007 for regression

_regressive_
Auto-regressive Image Synthesis with Integrated Quantization
Auto-regressive shape classifiers in time varying noise
Beyond Spatial Auto-regressive Models: Predicting Housing Prices with Satellite Imagery
Conditional regressive Random Forest Stereo-Based Hand Depth Recovery
Depth Recovery Using an Adaptive Color-Guided Auto-regressive Model
Facial Expression Recognition using Auto-regressive Models
Fast Adaptive Local Subspace Learning With regressive Regularization
Feature Evaluation for Handwritten Character Recognition with regressive and Generative Hidden Markov Models
Generalized Adaptive Spatio-Temporal Auto-regressive Model for Video Sequence Restoration
Gesture Recognition Using Auto-regressive Coefficients of Higher-Order Local Auto-Correlation Features
Gray-level Texture Characterization Based on a New Adaptive Nonlinear Auto-regressive Filter
Illumination-robust face recognition using ridge regressive bilinear models
Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-regressive Processes?
Learning Versatile 3D Shape Generation with Improved Auto-regressive Models
Locally regressive G-optimal design for image retrieval
Motion-Aligned Auto-regressive Model for Frame Rate Up Conversion, A
Multiresolution Rotation Invariant Simultaneous Auto regressive Model for Texture Analysis
Nested auto-regressive processes for MPEG-encoded video traffic modeling
Packet Video Error Concealment With Auto regressive Model
Painter: Teaching Auto-regressive Language Models to Draw Sketches
Practical Generation of Video Textures using the Auto-regressive Process
Probabilistic Kernels for the Classification of Auto-regressive Visual Processes
regressive Domain Adaptation for Unsupervised Keypoint Detection
regressive encoder-decoder-based deep attention model for segmentation of fetal head in 2D-ultrasound images, A
regressive Gaussian Process Latent Variable Model for Few-Frame Human Motion Prediction
regressive Structure for Online Computation of Arbitrary Length DCT-IV and DST-IV Transforms, A
regressive Tree Structured Model for Facial Landmark Localization
SCAT: Stride Consistency with Auto-regressive regressor and Transformer for hand pose estimation
Spatial Auto-regressive Analysis of Correlation in 3-D PET With Application to Model-Based Simulation of Data
Spatio-Temporal Auto regressive Model for Frame Rate Upconversion, A
Subjectively correlated estimation of noise due to blurriness distortion based on auto-regressive model using the Yule-Walker equations
Unsupervised Local regressive Attributes for Pedestrian Re-identification
Video super-resolution using an adaptive superpixel-guided auto-regressive model
Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs
34 for regressive

_regressor_
ACR: Attention Collaboration-based regressor for Arbitrary Two-Hand Reconstruction
AgeNet: Deeply Learned regressor and Classifier for Robust Apparent Age Estimation
Analyses on Generalization Error of Ensemble Kernel regressors
Apparent and Real Age Estimation in Still Images with Deep Residual regressors on Appa-Real Database
Application of the XBoost regressor for an A Priori Prediction of UAV Image Quality
Body Parts Dependent Joint regressors for Human Pose Estimation in Still Images
Cascade of encoder-decoder CNNs with learned coordinates regressor for robust facial landmarks detection
Continuous Pose Estimation with a Spatial Ensemble of Fisher regressors
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
Distilling Knowledge From a Deep Pose regressor Network
Estimation of Canopy Biomass Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian regressor Stacking
Face alignment using structured random regressors combined with statistical shape model fitting
Facial landmark detection based on an ensemble of local weighted regressors during real driving situation
Fast Super-Resolution via Dense Local Training and Inverse regressor Search
FeatLoc: Absolute pose regressor for indoor 2D sparse features with simplistic view synthesizing
Graph Learning From Signals With Smoothness Superimposed by regressors
Highly Robust regressor and its Application in Computer Vision, A
Human Pose Estimation Using Body Parts Dependent Joint regressors
Improving Systolic Blood Pressure Prediction from Remote Photoplethysmography Using a Stacked Ensemble regressor
Joint Learning of Multiple regressors for Single Image Super-Resolution
Jointly Optimized regressors for Image Super-resolution
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN regressors
KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by learning efficient H-CNN regressors
Learning Auto-Structured regressor from Uncertain Nonnegative Labels
Learning equivariant structured output SVM regressors
Learning Local Patch Orientation with a Cascade of Sparse regressors
Mixture of grouped regressors and its application to visual mapping
Monocular Human Motion Capture with a Mixture of regressors
Optimized regressor Forest for Image Super-Resolution
PARE: Part Attention regressor for 3D Human Body Estimation
Part-attentive kinematic chain-based regressor for 3D human modeling
Predicting Emotionally Salient Regions Using Qualitative Agreement of Deep Neural Network regressors
regressor Based Estimation of the Eye Pupil Center
regressor Basis Learning for anchored super-resolution
Relationship Between Generalization Error and Training Samples in Kernel regressors, A
SCAT: Stride Consistency with Auto-regressive regressor and Transformer for hand pose estimation
Simple Method to Boost Human Pose Estimation Accuracy by Correcting the Joint regressor for the Human3.6m Dataset, A
Soil Moisture Estimation by SAR in Alpine Fields Using Gaussian Process regressor Trained by Model Simulations
STAR: Sparse Trained Articulated Human Body regressor
Using dynamical quantization to perform split attempts in online tree regressors
What is and What is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar regressors
41 for regressor

_regret_
Adaptive Aggregation of Arbitrary Online Trackers with a regret Bound
FairALM: Augmented Lagrangian Method for Training Fair Models with Little regret
General regret Bound of Preconditioned Gradient Method for DNN Training, A
Generative Hybrid Representations for Activity Forecasting With No-regret Learning
Online multiple instance learning with no regret
Tighter regret Analysis and Optimization of Online Federated Learning

_regretful_
regretful Agent: Heuristic-Aided Navigation Through Progress Estimation, The

_regretting_
Outdoor RGBD Instance Segmentation With Residual regretting Learning

Index for "r"


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