Index for mean

_	mean	_
2D+T Feature-preserving Non-local	mean	s Filter for Image Denoising and Improved Detection of Small and Weak Particles, A
3-D	mean	-separation-type short-time DFT with its application to moving-image denoising
3D Building Models Segmentation Based on K-	mean	s++ Cluster Analysis
3d Glacier Mapping By	mean	s of Satellite Stereo Images: the Belvedere Glacier Case Study In the Italian Alps
3D Mesh Segmentation Using	mean	-Shifted Curvature
3D segmentation of forest structure using a	mean	-shift based algorithm
3D Space-Time Non-Local	mean	Filter (NLMF) for Land Changes Retrieval with Synthetic Aperture Radar Images, A
3M-RL: Multi-Resolution, Multi-Agent,	mean	-Field Reinforcement Learning for Autonomous UAV Routing
4D non-local	mean	s post-filtering for cardiac gated SPECT
AC coefficient and K-	mean	s cuckoo optimisation algorithm-based segmentation and compression of compound images
Accelerated Convergence Using Dynamic	mean	Shift
Acceleration of the Shiftable mbiO(1) Algorithm for Bilateral Filtering and Nonlocal	mean	s
Acceleration Strategies for Gaussian	mean	-Shift Image Segmentation
Accuracy assessment of digital elevation models by	mean	s of robust statistical methods
Accuracy Investigations of Image Matching Techniques By	mean	s of A Textured Dumbbell Artefact
Accurate Changing Point Detection for L_1	mean	Filtering
Accurate Despeckling and Estimation of Polarimetric Features by	mean	s of a Spatial Decorrelation of the Noise in Complex PolSAR Data
Accurate Estimation of Gaussian and	mean	Curvature in Volumetric Images
Accurate integration of multi-view range images using k-	mean	s clustering
Acoustic Range Image Segmentation by Effective	mean	Shift
Acoustoseismic Method for Buried-Object Detection by	mean	s of Surface-Acceleration Measurements and Audio Facilities
Active contour model of breast cancer DCE-MRI segmentation with an extreme learning machine and a fuzzy C-	mean	s cluster
Active Contours Based on Chambolle's	mean	Curvature Motion
Active Learning Strategy Using Contrastive Learning and K-	mean	s for Aquatic Invasive Species Recognition
Active	mean	Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models
Adaptation of Audiovisual Contents and Their Delivery	mean	s
Adaptation of Roads to ALS Data by	mean	s of Networks Snakes
Adapted Domain Specific Class	mean	s
Adaptive Alpha-Trimmed	mean	Filters Under Deviations From Assumed Noise Model
adaptive bandwidth nonlocal	mean	s image denoising in wavelet domain, An
Adaptive Binning Color Model for	mean	Shift Tracking, An
Adaptive Classifier Based on K-	mean	s Clustering and Dynamic Programming
Adaptive colour-guided non-local	mean	s algorithm for compound noise reduction of depth maps
Adaptive feature-spatial representation for	mean	-shift tracker
Adaptive Filters with Error Nonlinearities:	mean	-Square Analysis and Optimum Design
Adaptive fuzzy c-	mean	s algorithm based on local noise detecting for image segmentation
adaptive fuzzy C-	mean	s algorithm for image segmentation in the presence of intensity inhomogeneities, An
Adaptive image segmentation by using	mean	-shift and evolutionary optimisation
Adaptive image segmentation method based on the fuzzy c-	mean	s with spatial information
Adaptive joint nonlocal	mean	s denoising back projection for image super resolution
Adaptive Kernel Based Tracking Using	mean	-Shift
Adaptive Matching of Kernel	mean	s
Adaptive	mean	Shift-Based Identification of Individual Trees Using Airborne LiDAR Data
Adaptive	mean	-Shift Analysis Approach for Object Extraction and Classification from Urban Hyperspectral Imagery, An
Adaptive	mean	-shift for automated multi object tracking
Adaptive	mean	-Shift Framework for MRI Brain Segmentation, An
Adaptive multiresolution non-local	mean	s filter for three-dimensional magnetic resonance image denoising
Adaptive non-local	mean	s filter for image deblocking
Adaptive Non-local	mean	s Filtering for Speckle Noise Reduction
Adaptive Non-local	mean	s for Cost Aggregation in a Local Disparity Estimation Algorithm
Adaptive non-local	mean	s for multiview image denoising: Searching for the right patches via a statistical approach
Adaptive Non-Local-	mean	s Filter for Real-Time MR-Thermometry, An
Adaptive Nonzero-	mean	Gaussian Detection
Adaptive Pixon Represented Segmentation (APRS) for 3D MR Brain Images Based on	mean	Shift and Markov Random Fields
Adaptive pyramid	mean	shift for global real-time visual tracking
Adaptive regularization of the NL-	mean	s for video denoising
Adaptive Regularization of the NL-	mean	s: Application to Image and Video Denoising
Adaptive Scaled	mean	-Square Error Filtering by Neural Networks
Adaptive Search Based Non-Local	mean	s Image De-Noising
Adaptive selection of non-target cluster centers for K-	mean	s tracker
adaptive surface filter for airborne laser scanning point clouds by	mean	s of regularization and bending energy, An
Adaptive Trimmed	mean	Filters for Image Restoration
Adaptive-neighborhood best	mean	rank vector filter for impulsive noise removal
Additive integration of SAR features into multispectral SPOT images by	mean	s of the a trous wavelet decomposition
Advanced Digital Lensless Fourier Holography by	mean	s of a Spatial Light Modulator
Advanced K-	mean	s clustering algorithm for large ECG data sets based on a collaboration of compressed sensing theory and K-SVD approach
Advancements for Snowmelt Monitoring by	mean	s of Sentinel-1 SAR
Affine Non-Local	mean	s Image Denoising
AGB Estimation in a Tropical Mountain Forest (TMF) by	mean	s of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV)
Airborne LiDAR Remote Sensing for Individual Tree Forest Inventory Using Trunk Detection-Aided	mean	Shift Clustering Techniques
Aircraft navigation by	mean	s of image registration
AKM3C: Adaptive K-Multiple-	mean	s for Multi-View Clustering
Algorithm for Improving Non-Local	mean	s Operators via Low-Rank Approximation, An
algorithm for	mean	pyramids vector quantization using Hadamard transform and tree structure, An
algorithm to estimate	mean	traffic speed using uncalibrated cameras, An
Algorithms for calibrating roadside traffic cameras and estimating	mean	vehicle speed
Algorithms for Straight Line Fitting Using K-	mean	s
Algorithms for the Sample	mean	of Graphs
alpha-trimmed	mean	filter controlled by local parameters, An
Alpha-Trimmed	mean	s and Their Relationship to Median Filters
Alternative c-	mean	s clustering algorithms
Alternative Extension of the k-	mean	s Algorithm for Clustering Categorical Data, An
Analysis of a Simple k-	mean	s Clustering Algorithm, The
Analysis of financial indices by	mean	s of the windowed Fourier transform
Analysis of	mean	s to Improve Cooperative Disparity Estimation
Analysis of Online Reputation Indicators by	mean	s of Geostatistical Techniques: The Case of Rural Accommodation in Extremadura, Spain, An
Analysis of parameter selections for fuzzy c-	mean	s
Analysis of the Optimal Features for Sentinel-1 Oil Spill Datasets Based on an Improved J-M/K-	mean	s Algorithm, An
Analysis of the Patrimonial Conservation of a Quito Suburb without Altering Its Commercial Structure by	mean	s of a Centrality Measure for Urban Networks
Analysis of the Respiratory Dynamics During Normal Breathing by	mean	s of Pseudophase Plots and Pressure-Volume Loops
Analytically tractable case of fuzzy c-	mean	s clustering
Anisotropic Agglomerative Adaptive	mean	-Shift
Anisotropic Non-Local	mean	s with Spatially Adaptive Patch Shapes
Anomaly-Based Detection of IRC Botnets by	mean	s of One-Class Support Vector Classifiers
Anti-Interference From Noisy Labels:	mean	-Teacher-Assisted Confident Learning for Medical Image Segmentation
Apparatus and methods for detecting number of people waiting in an elevator hall using plural image processing	mean	s with overlapping fields of view
Appearance-Based Re-identification of Humans in Low-Resolution Videos Using	mean	s of Covariance Descriptors
Application of Global Fuzzy C-	mean	s (GFCM) Clustering Algorithm in Color Transfer
Application of Local Binary Pattern to Windowed Nonlocal	mean	s Image Denoising
Application of MAP-MRF to Change Detection in Image Sequence Based on	mean	Field Theory, An
Application of	mean	-Field Theory to Image Motion Estimation, The
Application of the Gibbs-Bogoliubov-Feynman Inequality in	mean	-Field Calculations for Markov Random-Fields, The
Application of the	mean	field methods to MRF optimization in computer vision
Application of the Point Distance Histogram to the Automatic Identification of People by	mean	s of Digital Dental Radiographic Images
Application of Two-Dimensional Generalized	mean	Filtering for Removal of Impulse Noises from Images
Applications of Gaussian mixture models and	mean	squared error within DatSCAN SPECT imaging
Approach for sequential image interpretation using a priori binary perceptual topological and photometric knowledge and k-	mean	s-based segmentation
Approximate Bayesian computation, stochastic algorithms and non-local	mean	s for complex noise models
Approximate graph edit distance computation by	mean	s of bipartite graph matching
Approximate	mean	Delay Analysis for a Signalized Intersection With Indisciplined Traffic
Approximating the CIECAM97s color appearance model by	mean	s of neural networks
Approximation of kernel k-	mean	s for streaming data
Approximation of the Hunt94 Color Appearance Model by	mean	s of Feed-Forward Neural Networks
Arbitrary Triangle Structure Adaptive	mean	PCA and Image Recognition
Architecture Recognition By	mean	s of Convolutional Neural Networks
Are you eligible? Predicting adulthood from face images via Class Specific	mean	Autoencoder
Artifact reduction of interpolated color filter array images using modified	mean	-removed classified vector quantization
Artifact reduction of JPEG coded images using	mean	-removed classified vector quantization
Artifact Removal for GLS Map Makers by	mean	s of Post-Processing
Assessing Agreement on Segmentations by	mean	s of Staccato, the Segmentation Agreement Calculator according to Thomann
Assessing Earthquake-Induced Urban Rubble by	mean	s of Multiplatform Remotely Sensed Data
Assessing Models of Sea Level Rise and	mean	Sea Surface with Sentinel-3B and Jason-3 Altimeter Data near Taiwan: Impacts of Data Quality and Length
Assessing OpenStreetMap Completeness for Management of Natural Disaster by	mean	s of Remote Sensing: A Case Study of Three Small Island States (Haiti, Dominica and St. Lucia)
Assessing the Impact of the Deceived Non Local	mean	s Filter as a Preprocessing Stage in a Convolutional Neural Network Based Approach for Age Estimation Using Digital Hand X-Ray Images
Assessing tracking performance in complex scenarios using	mean	time between failures
Assessment of Altimetric Range and Geophysical Corrections and	mean	Sea Surface Models: Impacts on Sea Level Variability around the Indonesian Seas
Assessment of Forest Parameters by	mean	s of Laser Scanning
Assessment of Global Ionospheric Maps Performance by	mean	s of Ionosonde Data
Assessment of Several Empirical Relationships for Deriving Daily	mean	s of UV-A Irradiance from Meteosat-Based Estimates of the Total Irradiance
Assessment of Texture Stationarity Using the Asymptotic Behavior of the Empirical	mean	and Variance
Assessment of the Ice Wedge Polygon Current State by	mean	s of UAV Imagery Analysis (Samoylov Island, the Lena Delta)
Assessment of the Landslide Susceptibility at the Jurassic Escarpment of the Swabian Alb by	mean	s of GIS-based Statistical-probabilistic Evaluation
Asymptotic Performance of the Geometric	mean	Detector in Pareto Distributed Clutter
Atmospheric Compensation of PRISMA Data by	mean	s of a Learning Based Approach
Audiovisual Spatial-Audio Analysis by	mean	s of Sound Localization and Imaging: A Multimedia Healthcare Framework in Abdominal Sound Mapping
Augmented Reality Views: Discussing the Utility of Visual Elements by Mediation	mean	s in Industrial AR from a Design Perspective
Automated feature weighting and random pixel sampling in k-	mean	s clustering for terahertz image segmentation
Automated Health Estimation of Capsicum annuum L. Crops by	mean	s of Deep Learning and RGB Aerial Images
Automated Identification of Crop Tree Crowns from UAV Multispectral Imagery by	mean	s of Morphological Image Analysis
Automated Localization of Brain Tumors in MRI Using Potential-K-	mean	s Clustering Algorithm
Automated skin lesion segmentation of dermoscopic images using GrabCut and k-	mean	s algorithms
Automated Solder Inspection Method by	mean	s of X-ray Oblique Computed Tomography
Automated Underwater Object Recognition by	mean	s of Fluorescence LIDAR
Automated Variable Weighting in k-	mean	s Type Clustering
Automatic 4D Flow MRI Segmentation Using the Standardized Difference of	mean	s Velocity
Automatic Class	mean	Calculation of Road Surface from IKONOS Images Using Fuzzy Logic and Particle Swarm Optimization
Automatic classification of chromosomes by	mean	s of quadratically asymmetric statistical distributions
Automatic Classification of Mass Spectra by	mean	s of Digital Learning Nets: Existence of Characteristic Features of Chemical Class in Mass Spectra
Automatic Design of Binary W-operators Using Artificial Feed-forward Neural Networks Based on the Weighted	mean	Square Error Cost Function
Automatic detection and elimination of specular reflectance in color images by	mean	s of MS diagram and vector connected filters
Automatic detection and tracking of ship based on	mean	shift in corrected video sequences
Automatic detection of cervical cells in Pap-smear images using polar transform and k-	mean	s segmentation
Automatic Detection System of Olive Trees Using Improved K-	mean	s Algorithm
Automatic Extraction of Rock Joints From Laser Scanned Data By Moving Least Squares Method And Fuzzy K-	mean	s Clustering
Automatic eye detection using intensity filtering and K-	mean	s clustering
Automatic histogram-based fuzzy C-	mean	s clustering for remote sensing imagery
Automatic Image Annotation Using Color K-	mean	s Clustering
Automatic Image Co-Segmentation Using Geometric	mean	Saliency
Automatic K-	mean	s Clustering Algorithm of GPS Data Combining a Novel Niche Genetic Algorithm with Noise and Density, An
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-	mean	s clustering
Automatic object segmentation using	mean	shift and growcut
Automatic Representation of Semantic Abstraction of Geographical Data by	mean	s of Classification
Automatic Target Recognition by	mean	s of Polarimetric ISAR Images and Neural Networks
Automatic texture segmentation based on k-	mean	s clustering and efficient calculation of co-occurrence features
Automatic Verification of Signatures by	mean	s of Acceleration
Autonomous Underwater Monitoring System for Detecting Life on the Seabed by	mean	s of Computer Vision Cloud Services
Availability of Automatic Identification System (AIS) Based on Spectral Analysis of	mean	Time to Repair (MTTR) Determined from Dynamic Data Age
B-line Detection and Localization by	mean	s of Deep Learning: Preliminary In-vitro Results
back projection scheme for accurate	mean	shift based tracking, A
Balanced K-	mean	s for Clustering
Ball k-	mean	s: Fast Adaptive Clustering With No Bounds
Bandlimited Image Restoration by Linear	mean	-Square-Error Filter
Batch Mode Active Learning for Object Detection Based on Maximum	mean	Discrepancy
Batch-incremental principal component analysis with exact	mean	update
Batched	mean	-Variance Bandits
Bayes discrimination with	mean	square error loss
Bayesian Approach With Hidden Markov Modeling and	mean	Field Approximation for Hyperspectral Data Analysis
Bayesian Estimate of	mean	Proper Scores for Diversity-Enhanced Active Learning
Bayesian image segmentation with	mean	shift
Bayesian Non-local	mean	s Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
Belief C-	mean	s: An extension of Fuzzy C-Means algorithm in belief functions framework
Belief C-	mean	s: An extension of Fuzzy C-Means algorithm in belief functions framework
Better computer vision under video compression, an example using	mean	shift tracking
Beyond k-	mean	s++: Towards better cluster exploration with geometrical information
Beyond pixels and regions: A non-local patch	mean	s (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images
Bias Field Estimation and Adaptive Segmentation of MRI Data Using a Modified Fuzzy C-	mean	s Algorithm
Bias field estimation and segmentation of MR image using modified fuzzy-C	mean	s algorithms
Bias-Variance Approach for the Nonlocal	mean	s, A
bidirectional adaptive bandwidth	mean	shift strategy for clustering, A
Bilateral K-	mean	s for Superpixel Computation (the SLIC Method)
Bilateral video super-resolution using non-local	mean	s with adaptive parameters
Binarization of Color Character Strings in Scene Images Using K-	mean	s Clustering and Support Vector Machines
Binarization of Color Characters in Scene Images Using k-	mean	s Clustering and Support Vector Machines
Binarization of color images from an adaptation of possibilistic c-	mean	s algorithm
Binary Optimization Approach for Constrained K-	mean	s Clustering, A
binning formula of bi-histogram for joint entropy estimation using	mean	square error minimization, A
Biometric User Authentication on Smart Cards by	mean	s of Handwritten Signatures
Blind image deconvolution by	mean	s of asymmetric multiplicative iterative algorithm
Blurring	mean	-Shift with a Restricted Data-Set Modification for Applications in Image Processing
Bone suppression in chest radiographs by	mean	s of anatomically specific multiple massive-training ANNs
Boosting Multi-hypothesis Tracking by	mean	s of Instance-Specific Models
Boosting the Computational Performance of Feature-Based Multiple 3D Scan Alignment by iat-k-	mean	s Clustering
Bootstrapping approach to feature-weight selection in fuzzy c-	mean	s algorithms with an application in color image segmentation
Bounded Non-Local	mean	s for Fast and Effective Image Denoising
Bounded Self-Weights Estimation Method for Non-Local	mean	s Image Denoising Using Minimax Estimators
Bounds on the	mean	Classification Error Rate of Multiple Experts
Brain magnetic resonance image segmentation based on an adapted non-local fuzzy c-	mean	s method
Brain MRI denoising and segmentation based on improved adaptive nonlocal	mean	s
Breast segmentation using Fuzzy C-	mean	s and anatomical priors in DCE-MRI
Building an Effective Visual Codebook: Is K-	mean	s Clustering Useful?
Building Deformation Assessment by	mean	s of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study
Building Detection From Lidar Data Using Entropy and The K-	mean	s Concept
Building Detection Method Based on Semi-Suppressed Fuzzy C-	mean	s and Restricted Region Growing Using Airborne LiDAR, A
C-	mean	s clustering fuzzified by two membership relative entropy functions approach incorporating local data information for noisy image segmentation
Calibration of SAR Polarimetric Images by	mean	s of a Covariance Matching Approach
CaMEL:	mean	Teacher Learning for Image Captioning
Cartesian K-	mean	s
case-study on naive labelling for the nearest	mean	and the linear discriminant classifiers, A
Categorizing Extent of Tumor Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum	mean	Discrepancy
Cellular-Automaton for the Determination of the	mean	Velocity of Moving-Objects and Its VLSI Implementation, A
Change detection for thematic mapping by	mean	s of airborne multitemporal polarimetric SAR imagery
Chaotic firefly algorithm-based fuzzy C-	mean	s algorithm for segmentation of brain tissues in magnetic resonance images
Character Segmentation for License Plate Recognition by K-	mean	s Algorithm
Characterization of Extremely Fresh Biomass Burning Aerosol by	mean	s of Lidar Observations
Class consistent k-	mean	s: Application to face and action recognition
Class	mean	embedding for face recognition
Class	mean	vector component and discriminant analysis
Class of Online Censoring Based Quaternion-Valued Least	mean	Square Algorithms, A
Classification of Audio Signals Using Fuzzy C-	mean	s with Divergence-Based Kernel
Classification of Marine Sediment in the Northern Slope of the South China Sea Based on Improved U-Net and K-	mean	s Clustering Analysis
Classification of Natural Textures by	mean	s of Two-Dimensional Orthogonal Masks
Classifier hierarchy learning by	mean	s of genetic algorithms
Client threshold prediction in biometric signature recognition by	mean	s of Multiple Linear Regression and its use for score normalization
Cloning Localization Based on Feature Extraction and K-	mean	s Clustering
Closing Gaps, and Gaps with a Stepping-Stone, by	mean	s of Parabolas
Cluster Approach to Cloud Cover Classification over South America and Adjacent Oceans Using a k-	mean	s/k-means++ Unsupervised Algorithm on GOES IR Imagery, A
Cluster Approach to Cloud Cover Classification over South America and Adjacent Oceans Using a k-	mean	s/k-means++ Unsupervised Algorithm on GOES IR Imagery, A
Cluster center initialization algorithm for K-	mean	s clustering
Clustering incomplete relational data using the non-Euclidean relational fuzzy c-	mean	s algorithm
clustering method combining differential evolution with the K-	mean	s algorithm, A
CNAK: Cluster number assisted K-	mean	s
CNES CLS 2022	mean	Sea Surface: Short Wavelength Improvements from CryoSat-2 and SARAL/AltiKa High-Sampled Altimeter Data, The
Co-registration of White Matter Tractographies by Adaptive-	mean	-Shift and Gaussian Mixture Modeling
Co-regularized kernel k-	mean	s for multi-view clustering
Coastal	mean	Dynamic Topography Recovery Based on Multivariate Objective Analysis by Combining Data from Synthetic Aperture Radar Altimeter
coincidence detection perspective for the maximum	mean	discrepancy, A
Collaborative feature-weighted multi-view fuzzy c-	mean	s clustering
Collaborative	mean	Shift Tracking Based on Multi-Cue Integration and Auxiliary Objects
Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-	mean	s Algorithm
Color Connectedness Degree for	mean	-Shift Tracking
Color Demosaicking Via Directional Linear Minimum	mean	Square-Error Estimation
color differentiated fuzzy c-	mean	s (CDFCM) based image segmentation algorithm, A
Color image denoising based on multichannel non-local	mean	s fusion
Color Image Denoising Using Quaternion Adaptive Non-Local Coupled	mean	s
Color Image Segmentation Based on	mean	Shift and Normalized Cuts
Color Image Segmentation by	mean	s of a Similarity Function
Color Image Segmentation using Fast Fuzzy C-	mean	s Algorithm
Color image segmentation using fuzzy C-	mean	s and eigenspace projections
Color image segmentation using histogram thresholding: Fuzzy C-	mean	s hybrid approach
Color image segmentation using	mean	shift and improved spectral clustering
Color image segmentation using multiscale fuzzy C-	mean	s and graph theoretic merging
Color quantization using c-	mean	s clustering algorithms
Color Segmentation in the HSI Color Space Using the k-	mean	s Algorithm
Color space influence on	mean	shift filtering
Colour image segmentation based on a convex K-	mean	s approach
Colour Image Segmentation Using Adaptive	mean	Shift Filters
Colour-based segmentation using FCM and K-	mean	s clustering for 3D thyroid gland state image classification using deep convolutional neural network structure
Combination of adaptive vector median filter and weighted	mean	filter for removal of high-density impulse noise from colour images
Combination of	mean	Shift of Colour Signature and Optical Flow for Tracking During Foreground and Background Occlusion
Combined Belief Propagation-	mean	Field Message Passing Algorithm for Dirichlet Process Mixtures
Combined Color and Texture Segmentation Based on Fibonacci Lattice Sampling and	mean	Shift
Combining Foreground / Background Feature Points and Anisotropic	mean	Shift For Enhanced Visual Object Tracking
Combining kalman filtering and	mean	shift for real time eye tracking under active IR illumination
Combining	mean	-Shift and Particle Filter for Object Tracking
Combining Monte Carlo and	mean	-Field-Like Methods for Inference in Hidden Markov Random Fields
Combining Total Variation and Nonlocal	mean	s Regularization for Edge Preserving Image Deconvolution
comment on Alternative c-	mean	s clustering algorithms, A
Comments on A Robust Fuzzy Local Information C-	mean	s Clustering Algorithm
Comments on A Simple Approximation for Minimum	mean	-Square Error Symmetric Uniform Quantization
Comments on Modified K-	mean	s Algorithm for Vector Quantizer Design
Comments on Randomly Sampled Non Local	mean	s Image Filter
common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and	mean	shift, A
Common Visual Pattern Discovery via Nonlinear	mean	Shift Clustering
Comparative Study Between WMMS and TLS for The Stability Analysis Of The San Pedro Church Barrel Vault By	mean	s of The Finite Element Method, A
Comparative Study on Noise-Estimation-Based Fuzzy C-	mean	s Clustering for Image Segmentation
Comparing Clothing Styles by	mean	s of Computer Vision Methods
Comparing Orthonormal Matrices for Two-Dimensional Image Transform Coding by	mean	s of the Gain Distortion Function
comparison between an objective quality measure and the	mean	annoyance values of watermarked videos, A
Comparison between K	mean	and fuzzy C-mean methods for segmentation of near infrared fluorescent image for diagnosing prostate cancer
Comparison between K	mean	and fuzzy C-mean methods for segmentation of near infrared fluorescent image for diagnosing prostate cancer
Comparison of four line-based positional assessment methods by	mean	s of synthetic data
comparison of Gaussian and	mean	curvature estimation methods on triangular meshes of range image data, A
Comparison of	mean	Dynamic Topography Modeling from Multivariate Objective Analysis and Rigorous Least Squares Method
Comparison of orientated and spatially variant morphological filters vs	mean	/median filters for adaptive image denoising
Comparison of Weighted	mean	Temperature in Greenland Calculated by Four Reanalysis Data
Complementary	mean	Square Analysis of Augmented CLMS for Second-Order Noncircular Gaussian Signals
Complementary	mean	-Square Analysis of CNLMS Algorithm Using Pseudo-Energy-Conservation Method
Complex fuzzy c-	mean	s algorithm
Component-based image coding using non-local	mean	s filtering and an autoregressive texture model
Compositional coding capsule network with k-	mean	s routing for text classification
Comprehensive Analysis and Validation of the Atmospheric Weighted	mean	Temperature Models in China
Compressing of Fingerprint Images by	mean	s of Fractals Feature
Compression of image block	mean	s for non-equal block partition schemes using Delaunay triangulation and prediction
computational study of several relocation methods for k-	mean	s algorithms, A
Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum	mean	Discrepancy in Locally Advanced Breast Cancer
Computer Vision -- The Goal and the	mean	s: Reply
Computer Vision Color Constancy from Maximal Projections	mean	Assumption
Computing Curvature,	mean	Curvature and Weighted Mean Curvature
Computing Curvature,	mean	Curvature and Weighted Mean Curvature
Computing the Barycenter Graph by	mean	s of the Graph Edit Distance
Concentrated Curvature for	mean	Curvature Estimation in Triangulated Surfaces
Conceptual K-	mean	s Algorithm Based on Complex Features
Conditional Access to H.264/AVC Video by	mean	s of Redundant Slices
Conditional Fuzzy C-	mean	s
Conditional semi-fuzzy c-	mean	s clustering for imbalanced dataset
Consistency of	mean	partitions in consensus clustering
Consistent Estimation of Randomly Sampled Ornstein-Uhlenbeck Process Long-Run	mean	for Long-Term Target State Prediction
Consistent Estimator of Median and	mean	Graph
Constrained	mean	Shift Using Distant yet Related Neighbors for Representation Learning
Construction of a	mean	Surface for the Variability Study of the Cornea
Content-based mammogram retrieval using k-	mean	s clustering and local binary pattern
Content-weighted	mean	-squared error for quality assessment of compressed images
Context-Aware Three-Dimensional	mean	-Shift With Occlusion Handling for Robust Object Tracking in RGB-D Videos
Contour Detection for Industrial Image Processing by	mean	s of Level Set Methods
Contraharmonic	mean	Based Bias Field Correction in MR Images
Contrastive	mean	Teacher for Domain Adaptive Object Detectors
Contribution to the colour segmentation by	mean	s of an algorithm which reduces the CCDs saturation problems
Convergence and Consistency of Fuzzy C-	mean	s / ISODATA Algorithms
Convergence of	mean	-Field Procedures for MRFs, The
Convex Approach to K-	mean	s Clustering and Image Segmentation, A
Cooperative Localization for Mobile Networks: A Distributed Belief Propagation:	mean	Field Message Passing Algorithm
Coordinate Descent Method for k-	mean	s
Copy-move forgery detection and localization by	mean	s of robust clustering with J-Linkage
Correlation Network Evolution Using	mean	Reversion Autoregression
Correlation, Kalman filter and adaptive fast	mean	shift based heuristic approach for robust visual tracking
Correspondence edit distance to obtain a set of weighted	mean	s of graph correspondences
Counter-forensics of SIFT-based copy-move detection by	mean	s of keypoint classification
Coupled	mean	Shift-Anisotropic Diffusion Approach for Document Image Segmentation and Restoration, A
Covid-19 and Greek Museums. Digitality as a	mean	of Promoting Cultural Heritage During the Coronavirus Period. New Ways of Expression
CTD: Cascaded Temporal Difference Learning for the	mean	-Standard Deviation Shortest Path Problem
Cucumber disease detection using adaptively regularised kernel-based fuzzy C-	mean	s and probabilistic neural network
CUDA LATCH Binary Descriptor: Because Sometimes Faster	mean	s Better, The
Curve morphing by weighted	mean	of strings
Curvelet-based multiscale denoising using non-local	mean	s and guided image filter
DAME WEB: DynAmic	mean	with Whitening Ensemble Binarization for Landmark Retrieval without Human Annotation
Data clustering: 50 years beyond K-	mean	s
Data driven	mean	-shift belief propagation for non-gaussian MRFs
Data Field-Based K-	mean	s Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment
Databases Traceability by	mean	s of Watermarking with Optimized Detection
de-texturing and spatially constrained K-	mean	s approach for image segmentation, A
Dealing with Self-occlusion in Region Based Motion Capture by	mean	s of Internal Regions
Deblurring Digital Images by	mean	s of Polynomial Transforms
Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local	mean	s
Decoding Substitution Ciphers by	mean	s of Word Matching with Application to OCR
Deep Clustering: On the Link Between Discriminative Models and K-	mean	s
Deep Convolutional K-	mean	s Clustering
Deep k-	mean	s: Jointly clustering with k-Means and learning representations
Deep k-	mean	s: Jointly clustering with k-Means and learning representations
deep learning model integrating convolution neural network and multiple kernel K	mean	s clustering for segmenting brain tumor in magnetic resonance images, A
Deformable Model Fitting by Regularized Landmark	mean	-Shift
Deformation analysis of a bored tunnel by	mean	s of terrestrial laserscanning
Deformation estimation on low coherence areas by	mean	s of polarimetric differential SAR interferometry
Deformed Lattice Detection in Real-World Images Using	mean	-Shift Belief Propagation
Deformed Lattice Discovery Via Efficient	mean	-Shift Belief Propagation
Delta-MSE dissimilarity in suboptimal K-	mean	s clustering
DEM Generation by	mean	s of ERS Tandem Data
Democratic Tone Mapping Using Optimal K-	mean	s Clustering
Denoising based on non local	mean	s for ultrasound images with simultaneous multiple noise distributions
Denoising Multi-view Images Using Non-local	mean	s with Different Similarity Measures
Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal	mean	s
Depth-assisted nonlocal	mean	s hole filling for novel view synthesis
Derivation of Dominant Height and Yield Class of Forest Stands by	mean	s of Airborne Remote Sensing Methods
Design of high speed weighted fuzzy	mean	filters with generic LR fuzzy cells
Despeckling of SAR Image Using Generalized Guided Filter With Bayesian Nonlocal	mean	s
Detailed Mapping of Lava and Ash Deposits at Indonesian Volcanoes by	mean	s of VHR PlanetScope Change Detection
Detecting humans under occlusion using variational	mean	field method
Detecting Slope and Urban Potential Unstable Areas by	mean	s of Multi-Platform Remote Sensing Techniques: The Volterra (Italy) Case Study
Detection and Classification of Interesting Parts in Scanned Documents by	mean	s of AdaBoost Classification and Low-Level Features Verification
Detection of Masses in Digital Mammograms using K-	mean	s and Support Vector Machine
Detection of moving shadows using	mean	shift clustering and a significance test
Detection of Optic Disc in Retinal Images by	mean	s of a Geometrical Model of Vessel Structure
Detection Of Orthoimage Mosaicking Seamlines By	mean	s Of Wavelet Transform
Detection of Pollen Grains in Digital Microscopy Images by	mean	s of Modified Histogram Thresholding
Detection of Rice Phenological Variations under Heavy Metal Stress by	mean	s of Blended Landsat and MODIS Image Time Series
Detection of Vehicles in a Motorway Environment by	mean	s of Telemetric and Visual Data
Determination of Regions Suitable for Agriculture in the Gordon Cosens Forest of Ontario By	mean	s of Analytical Hierarchy Process with Fuzzy Logic Inference
Determining Pull-Out Deformations of Bonded Metal Anchors Embedded In Concrete by	mean	s of Photogrammetry
Determining Tooth Occlusal Surface Relief Indicator By	mean	s Of Automated 3D Shape Analysis
Development of a Fire Detection Based on the Analysis of Video Data by	mean	s of Convolutional Neural Networks
Development of a Neuro-fuzzy MR Image Segmentation Approach Using Fuzzy C-	mean	s and Recurrent Neural Network
Diagnosing skin cancer via C-	mean	s segmentation with enhanced fuzzy optimization
Diatom Phenology in the Southern Ocean:	mean	Patterns, Trends and the Role of Climate Oscillations
Dictionary Training for Sparse Representation as Generalization of K-	mean	s Clustering
Difference image and fuzzy c-	mean	s for detection of retinal vessels
Differentiable	mean	Opinion Score Regularization for Perceptual Speech Enhancement
Digital halftoning by	mean	s of green-noise masks
Direct Estimate of Motion Parameters by	mean	s of Markov Random Fields
Directional	mean	shift and its application for topology classification of local 3D structures
Directional Super-Resolution by	mean	s of Coded Sampling and Guided Upsampling
Discontinuity Preserving Visual Reconstruction by	mean	s of Potential Theory
Discontinuity-Preserving Vector Smoothing of Multivariate MR Images Using Vector	mean	Field Annealing
Discrete and Parameter-Free Multiple Kernel k-	mean	s
Discrete	mean	Curvature Flow
Discrete Varifolds: A Unified Framework for Discrete Approximations of Surfaces and	mean	Curvature
Discrimination of Natural Contours by	mean	s of Time-Scale-Frequency Decompositions
Discriminative	mean	Shift Tracking with Auxiliary Particles
Discriminative projection fuzzy K-	mean	s with adaptive neighbors
Discriminatively Embedded K-	mean	s for Multi-view Clustering
Disparity Refinement Algorithm for Satellite Remote Sensing Images Based on	mean	-Shift Plane Segmentation, A
Distance measuring using passive visual	mean	s
Distances and	mean	s of Direct Similarities
distributed framework for trimmed Kernel k-	mean	s clustering, A
Distributed	mean	-Field-Type Filters for Traffic Networks
Distribution and Degradation Processes of Isolated Permafrost near Buried Oil Pipelines by	mean	s of Electrical Resistivity Tomography and Ground Temperature Monitoring: A Case Study of Da Xing'anling Mountains, Northeast China
Diverse fuzzy c-	mean	s for image clustering
DNLM-IIFFT: An Implementation of the Deceived Non Local	mean	s Filter Using Integral Images and the Fast Fourier Transform for a Reduced Computational Cost
Do Images	mean	Anything?
Does HDR Pre-Processing Improve the Accuracy of 3D Models Obtained by	mean	s of two Conventional SfM-MVS Software Packages? The Case of the Corral del Veleta Rock Glacier
Domain Adaptation with a Domain Specific Class	mean	s Classifier
Domain Discrepancy Elimination and	mean	Face Representation Learning for NIR-VIS Face Recognition
Dominant Color Extraction with K-	mean	s for Camera Characterization in Cultural Heritage Documentation
Dyke Monitoring By The	mean	s Of Persistent Scattering Interferometry At The Coast Of Northern Germany
Dynamic time-alignment k-	mean	s kernel clustering for time sequence clustering
Dynamic traffic signal control using	mean	field multi-agent reinforcement learning in large scale road-networks
Ear Recognition by	mean	s of a Rotation Invariant Descriptor
ECM: An evidential version of the fuzzy c-	mean	s algorithm
Edge and	mean	Based Image Compression
Edge Detection Using Sequential Methods for Change in Level - Part II: Sequential Detection of Change in	mean
Edge Preserving Filtering by Combining Nonlinear	mean	and Median Filters
Edge-adaptive image segmentation based on seam processing and K-	mean	s clustering
Edge-Preserving Smoothing and	mean	-Shift Segmentation of Video Streams
Effect of Long Term Tidal Constituents On	mean	Sea Level Trend During El-Nino and La-Nina Phenomena
Effect of the Long-Term	mean	and the Temporal Stability of Water-Energy Dynamics on China's Terrestrial Species Richness
Effective and Adaptable K-	mean	s Algorithm for Big Data Cluster Analysis, An
Effective fuzzy clustering algorithm with Bayesian model and	mean	template for image segmentation
Effective initialization of k-	mean	s for color quantization
Effective	mean	-Field Inference Method for Nonnegative Boltzmann Machines
Effective video hyperlinking by	mean	s of enriched feature sets and monomodal query combinations
Efficient 2D human pose estimation using	mean	-shift
Efficient Adaptive Fuzzy Switching Weighted	mean	Filter for Salt-and-Pepper Noise Removal, An
Efficient Algorithm for Computing the Derivative of	mean	Structural Similarity Index Measure, An
Efficient Approach to Intensity Inhomogeneity Compensation Using c-	mean	s Clustering Models, An
Efficient Combination of Histograms for Real-Time Tracking Using	mean	-Shift and Trust-Region Optimization
Efficient Implementation of the Fuzzy C-	mean	s Clustering Algorithm
efficient k-	mean	s clustering algorithm, An
Efficient k-	mean	s Clustering Algorithm: Analysis and Implementation, An
Efficient K-	mean	s VLSI Architecture for Vector Quantization
efficient line symmetry-based K-	mean	s algorithm, An
Efficient	mean	shift belief propagation for vision tracking
Efficient	mean	-Shift Tracking via a New Similarity Measure
Efficient multi-modal geometric	mean	metric learning
Efficient Multi-View K-	mean	s for Image Clustering
Efficient Nonlocal	mean	s for Denoising of Textural Patterns
Efficient nonlocal-	mean	s denoising using the SVD
efficient protocol for private iris-code matching by	mean	s of garbled circuits, An
Efficient real-time local optical flow estimation by	mean	s of integral projections
Efficient Recursive Algorithms for Computing the	mean	Diffusion Tensor and Applications to DTI Segmentation
Efficient Relevance Feedback Using Semi-supervised Kernel-specified K-	mean	s Clustering
Efficient Risk Determination Of Risk Of Road Blocking By	mean	s Of Mms And Data of Buildings and Their Surrounding
Efficient Target Recovery Using STAGE for	mean	-shift Tracking
Efficient temporal pattern recognition by	mean	s of dissimilarity space embedding with discriminative prototypes
Efficient Two-Pass MAP-MRF Algorithm for Motion Estimation Based on	mean	Field Theory, An
Efficient video denoising based on dynamic nonlocal	mean	s
Efficient Word Retrieval by	mean	s of SOM Clustering and PCA
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the	mean	Information
Eigenshape kernel based	mean	shift for human tracking
Elastic minutiae matching by	mean	s of thin-plate spline models
Electromagnetic imaging within the contrast-source formulation by	mean	s of the multiscaling inexact Newton method
Electronic half-tone generating	mean	s for facsimile reproduction system
EM procedures using	mean	field-like approximations for Markov model-based image segmentation
empirical comparison of four initialization methods for the K-	mean	s algorithm, An
End to end system for hazy image classification and reconstruction based on	mean	channel prior using deep learning network
End-to-End Training of Object Class Detectors for	mean	Average Precision
Enhanced bisecting k-	mean	s clustering using intermediate cooperation
Enhanced interval type-2 fuzzy c-	mean	s algorithm with improved initial center
Enhanced Matching Method for Copy-Move Forgery Detection by	mean	s of Zernike Moments
Enhanced Neural Network Model for Worldwide Estimation of Weighted	mean	Temperature
Enhanced Satellite-Based Algorithm for Detecting and Tracking Dust Outbreaks by	mean	s of SEVIRI Data, An
Enhanced Watermarking Scheme Based on Removal of Local	mean	s
Enhancement of historical printed document images by combining Total Variation regularization and Non-local	mean	s filtering
Enhancing the K-	mean	s Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations
Enhancing Underwater Color Images via Optical Imaging Model and Non-Local	mean	s Denoising
Ensemble clustering by	mean	s of clustering embedding in vector spaces
Entropy-Based Non-Local	mean	s Filter for Single-Look SAR Speckle Reduction
Epidermis segmentation in skin histopathological images based on thickness measurement and k-	mean	s algorithm
Error Entropy and	mean	Square Error Minimization for Lossless Image Compression
Error-dependent step-size control of adaptive normalized least-	mean	-square filters used for nonlinear acoustic echo cancellation
Error-Resilient and Low-Complexity Onboard Lossless Compression of Hyperspectral Images by	mean	s of Distributed Source Coding
Estimating Horizontal Displacement between DEMs by	mean	s of Particle Image Velocimetry Techniques
Estimating	mean	Disparity of Stereo Images Using Shift-trials of Phase Differences
Estimating the	mean	manifold of a deformable object from noisy observations
Estimating the uncertainty in the estimated	mean	area under the ROC curve of a classifier
Estimation Method of the Homodyned K-Distribution Based on the	mean	Intensity and Two Log-Moments
Estimation of aircraft state during landing by	mean	s of multiple observers
Estimation of Canopy Water Content by	mean	s of Hyperspectral Indices Based on Drought Stress Gradient Experiments of Maize in the North Plain China
Estimation of Channelized Hotelling Observer Performance With Known Class	mean	s or Known Difference of Class Means
Estimation of Channelized Hotelling Observer Performance With Known Class	mean	s or Known Difference of Class Means
Estimation of daily	mean	land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations
Estimation of Directional and Ambient Illumination Parameters by	mean	s of a Calibration Object
Estimation of Displacement Vector Fields by	mean	s of Adaptive Affine Transformations, The
Estimation of Geometry and Motion of a Surface from Image Sequences by	mean	s of Linearization of a Parametric Model, The
Estimation Of Insulator Contaminations By	mean	s Of Remote Sensing Technique
Estimation of	mean	Radiant Temperature in Urban Canyons Using Google Street View: A Case Study on Seoul
Estimation of orientation tensors for simple signals by	mean	s of second-order filters
Estimation of RVoG Scene Parameters by	mean	s of PolInSAR With TanDEM-X Data: Effect of the Double-Bounce Contribution
Estimation of the forest stand	mean	height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery
Estimator for Weather Radar Doppler Power Spectrum via Minimum	mean	Square Error, An
Evaluating Gravimetric Polar Motion Excitation Estimates from the RL06 GRACE Monthly-	mean	Gravity Field Models
Evaluation of Image Fidelity by	mean	s of the Fidelogram and Level Mean-Square Error
Evaluation of Image Fidelity by	mean	s of the Fidelogram and Level Mean-Square Error
Evaluation of Multi-part Models for	mean	-Shift Tracking
Evaluation Of Real-Time Hand Motion Tracking Using A Range Camera And The	mean	-Shift Algorithm
Evaluation of Stability of k-	mean	s Cluster Ensembles with Respect to Random Initialization
Evaluation Of Wavelet And Non-local	mean	Denoising Of Terrestrial Laser Scanning Data For Small-scale Joint Roughness Estimation
evolution of	mean	curvature in image filtering, The
Evolutionary Object Detection by	mean	s of Naive Bayes Models Estimation
Evolutionary Weighted	mean	Based Framework for Generalized Median Computation with Application to Strings
Evolving	mean	Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Exact Robust Method to Localize a Known Sphere by	mean	s of One Image, An
Examining the Role of Scale in the Context of the Non-Local-	mean	s Filter
Exceptional motion frames detection by	mean	s of spatiotemporal region of interest features
Exchange	mean	s change: An unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange
Experimental Study of Color-Based Segmentation Algorithms Based on the	mean	-Shift Concept, An
Exploiting reliability for dynamic selection of classifiers by	mean	s of genetic algorithms
Exploring Object Relation in	mean	Teacher for Cross-Domain Detection
Exploring text representation impact on K-	mean	s based arabic text documents clustering
Extended	mean	Shift in Handwriting Clustering
extended non-local	mean	s algorithm: Application to brain MRI, An
Extended non-local	mean	s filter for surface saliency detection
Extended social force model-based	mean	shift for pedestrian tracking under obstacle avoidance
extended version of the k-	mean	s method for overlapping clustering, An
Extension of Non-Local	mean	s (NLM) algorithm with Gaussian filtering for highly noisy images
Extracting High Level Semantics by	mean	s of Speech, Audio, and Image Primitives in Surveillance Applications
Extracting Point of Interests From Movement Data Using Kernel Density And Weighted K-	mean	s
Extraction of Diffuse Objects From Images by	mean	s of Watershed and Region Merging: Example of Solar Images
Extraction of Discontinuous Chains of Symbols by	mean	s of Perceptual Grouping
Extraction of Left Ventricular Contours From Left Ventriculograms by	mean	s of a Neural Edge Detector
Extraction of Retinal Blood Vessel Using Curvelet Transform and Fuzzy C-	mean	s
extractive text summarization technique for Bengali document(s) using K-	mean	s clustering algorithm, An
Extreme Heat Wave over Western North America in 2021: An Assessment by	mean	s of Land Surface Temperature, The
Eye feature extraction using K-	mean	s clustering for low illumination and iris color variety
Face alignment through subspace constrained	mean	-shifts
Face hallucination via K-selection	mean	constrained sparse representation
Face obscuration in a video sequence by integrating kernel-based	mean	-shift and active contour
Face Recognition in Movie Trailers via	mean	Sequence Sparse Representation-Based Classification
Face sketch synthesis using non-local	mean	s and patch-based seaming
Face Tracking by	mean	s of Continuous Detection
Facial Feature Point Extraction Using the Adaptive	mean	Shape in Active Shape Model
Fast 3D	mean	Shift Filter for CT Images
Fast adaptive and selective	mean	filter for the removal of high-density salt and pepper noise
Fast Algorithm for a	mean	Curvature Based Image Denoising Model Using Augmented Lagrangian Method, A
Fast and accurate fuzzy C-	mean	s algorithm for MR brain image segmentation
Fast and Accurate Least-	mean	-Squares Solvers for High Dimensional Data
Fast and Automatically Adjustable GRBF Kernel Based Fuzzy C-	mean	s for Cluster-wise Coloured Feature Extraction and Segmentation of MR Images
Fast and efficient difference of block	mean	s code for palmprint recognition
Fast and robust fuzzy c-	mean	s clustering algorithms incorporating local information for image segmentation
fast anti-noise fuzzy C-	mean	s algorithm for image segmentation, A
Fast approximate k-	mean	s via cluster closures
Fast Approximate Minimum Spanning Tree Algorithm Based on K-	mean	s
Fast automatic estimation of the number of clusters from the minimum inter-center distance for k-	mean	s clustering
Fast automatic medical image segmentation based on spatial kernel fuzzy c-	mean	s on level set method
Fast automatic X-ray image processing by	mean	s of a new multistage filter for background modelling
Fast color quantization using weighted sort-	mean	s clustering
Fast Computing of Color Matching by	mean	s of Matrix Representation, Part I: Transmission-Type Coherent
Fast density clustering strategies based on the k-	mean	s algorithm
Fast Digital Radon-Transform: An Efficient	mean	s for Evaluating the Hough Transform, A
Fast exact local-	mean	based classification algorithm using class rejection and initial distance assigning processes
Fast Exemplar-Based Image Inpainting Method Using Bounding Based on	mean	and Standard Deviation of Patch Pixels, A
Fast Fully Data-Driven Image Restoration by	mean	s of Edge-Preserving Regularization
Fast global k-	mean	s clustering using cluster membership and inequality
fast hierarchical motion vector estimation algorithm using	mean	pyramid, A
Fast High-Dimensional Bilateral and Nonlocal	mean	s Filtering
Fast Image and Video Denoising via Nonlocal	mean	s of Similar Neighborhoods
Fast image recovery using dynamic load balancing in parallel architectures, by	mean	s of incomplete projections
fast k-	mean	s clustering algorithm using cluster center displacement, A
Fast log-Gabor-based nonlocal	mean	s image denoising methods
Fast	mean	filtering technique (FMFT)
Fast	mean	Shift Algorithm Based on Discretisation and Interpolation
Fast	mean	Shift by compact density representation
Fast	mean	-shift Based Classification Of Very High Resolution Images: Application To Forest Cover Mapping
Fast modified global k-	mean	s algorithm for incremental cluster construction
fast search algorithm for	mean	-removed vector quantization using edge and texture strengths of a vector, A
Fast Single Image Fog Removal Method Using Geometric	mean	Histogram Equalization, A
Fast transcoding for video delivery by	mean	s of a control stream
Faster and more robust point symmetry-based K-	mean	s algorithm
Feature Extraction Based on Class	mean	Embedding (CME)
Feature extraction based on fuzzy class	mean	embedding (FCME) with its application to face and palm biometrics
Feature learning using Generalized Extreme Value distribution based K-	mean	s clustering
Feature selection for best	mean	square approximation of class densities
Feature Selection in AVHRR Ocean Satellite Images by	mean	s of Filter Methods
Feature Selection via Incorporating Stiefel Manifold in Relaxed K-	mean	s
Feature-based image registration by	mean	s of the CHC evolutionary algorithm
Figure-Ground Discrimination by	mean	Field Annealing
Filter-Based	mean	-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces
Finding Correspondences of Patches by	mean	s of Affine Transformations
Finding Prototypes for Nearest-Neighbor Classification by	mean	s of Gradient Descent and Deterministic Annealing
Finding the Subspace	mean	or Median to Fit Your Need
Fine-grained Collaborative K-	mean	s Clustering
finger-vein verification system using	mean	curvature, A
Fingerprint Image Enhancement Using Decimation Free Directional Adaptive	mean	Filtering
Fleckmentation: rapid segmentation using repeated 2-	mean	s
Flows under Min/Max Curvature Flow and	mean	Curvature: Applications in Image Processing
Forest Height Estimation by	mean	s of Pol-InSAR Data Inversion: The Role of the Vertical Wavenumber
Form representions and	mean	s for landmarks: A survey and comparative study
Forward-Backward	mean	-Shift for Visual Tracking With Local-Background-Weighted Histogram
FPGA implementation of real-time K-	mean	s clustering for color images, An
FPGA Realization of a Random Forest with k-	mean	s Clustering Using a High-Level Synthesis Design, An
Fractional Holder	mean	-based image segmentation for mouse behavior analysis in conditional place preference test
framework for Human tracking using Kalman filter and fast	mean	shift algorithms, A
Free-Form Surface Matching using	mean	Field Theory
Fruit Fly-Based Artificial Neural Network Classifier with Kernel-Based Fuzzy c-	mean	s Clustering for Satellite Image Classification
Full	mean	-Square Analysis of Affine Combination of Two Complex-Valued LMS Filters for Second-Order Non-Circular Inputs
Full Reference Quality Metric for Compressed Video Based on	mean	Squared Error and Video Content, A
Fully automatic 3D facial expression recognition using differential	mean	curvature maps and histograms of oriented gradients
fully unsupervised color textured image segmentation algorithm using weighted	mean	histograms features, A
Fuzzy Based Adaptive	mean	Filtering Technique for Removal of Impulse Noise from Images
Fuzzy C	mean	s integrated with spatial information and contrast enhancement for segmentation of MR brain images
fuzzy C+2-	mean	s: solving the ambiguity rejection in clustering, The
Fuzzy C-	mean	s Algorithm for Fingerprint Segmentation, A
Fuzzy C-	mean	s Algorithm for Segmentation of Aerial Photography Data Obtained Using Unmanned Aerial Vehicle
fuzzy c-	mean	s algorithm using a correlation metrics and gene ontology, A
Fuzzy C-	mean	s And Mixture Distribution Models In The Presence Of Noise Clusters
Fuzzy C-	mean	s applied to MRI images for an automatic lesion detection using image enhancement and constrained clustering
Fuzzy C-	mean	s based clustering for linearly and nonlinearly separable data
Fuzzy c-	mean	s based plant segmentation with distance dependent threshold
Fuzzy C-	mean	s Based Spatial Pixel and Membership Relationships for Image Segmentation, A
Fuzzy C-	mean	s clustering algorithm based on superpixel merging and multi-feature adaptive fusion measurement
Fuzzy c-	mean	s clustering based on weights and gene expression programming
Fuzzy C-	mean	s Clustering for Segmenting Carotid Artery Ultrasound Images
Fuzzy c-	mean	s clustering methods for symbolic interval data
Fuzzy C-	mean	s Clustering With Local Information and Kernel Metric for Image Segmentation
Fuzzy C-	mean	s in an MDL-framework
Fuzzy C-	mean	s: Optimality of solutions and effective termination of the algorithm
Fuzzy classification of brain MRI using a priori knowledge: Weighted fuzzy C-	mean	s
Fuzzy Clustering, Fuzzy Classification Techniques, Fuzzy C-	mean	s
Fuzzy J-	mean	s: a new heuristic for fuzzy clustering
Fuzzy Logic-based Approach For The Detection Of Flooded Vegetation By	mean	s Of Synthetic Aperture Radar Data, A
Fuzzy	mean	-Shift Approach to Lidar Waveform Decomposition, A
Fuzzy One-	mean	Algorithm: Formulation, Convergence Analysis, and Applications
Gabor feature based nonlocal	mean	s filter for textured image denoising
Gait Identification Using a Novel Gait Representation: Radon Transform of	mean	Gait Energy Image
Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-	mean	s clustering
Gaussian kernel c-	mean	s hard clustering algorithms with automated computation of the width hyper-parameters
Gaussian kernel fuzzy c-	mean	s with width parameter computation and regularization
Gaussian kernel-based fuzzy c-	mean	s algorithm with a spatial bias correction, A
Gaussian Lifting for Fast Bilateral and Nonlocal	mean	s Filtering
Gaussian	mean	-Shift Is an EM Algorithm
Gaussian mixture parameter estimation with known	mean	s and unknown class-dependent variances
Gaussian Noise Detection and Adaptive Non-local	mean	s Filter
GeCiM: A Novel Generalized Approach to C-	mean	s Clustering
Gender Classification Using a Novel Gait Template: Radon Transform of	mean	Gait Energy Image
General C-	mean	s Clustering Model
General C-	mean	s Clustering Model and Its Application
General Framework for Accurate and Private	mean	Estimation, A
Generalised blurring	mean	-shift algorithms for nonparametric clustering
Generalised fuzzy c-	mean	s clustering algorithm with local information
Generalised rough intuitionistic fuzzy c-	mean	s for magnetic resonance brain image segmentation
Generalization of c-	mean	s for identifying non-disjoint clusters with overlap regulation
Generalization-oriented Road Line Classification by	mean	s of an Artificial Neural Network
Generalization-oriented road line segmentation by	mean	s of an artificial neural network applied over a moving window
Generalized Bhattacharyya and Chernoff upper bounds on Bayes error using quasi-arithmetic	mean	s
Generalized HR q-Derivative and Its Application to Quaternion Least	mean	Square Algorithm, The
Generalized K-	mean	s Algorithm with Semi-Supervised Weight Coefficients, A
Generalized k-	mean	s-based clustering for temporal data under weighted and kernel time warp
Generalized	mean	Apparent Propagator MRI to Measure and Image Advective and Dispersive Flows in Medicine and Biology
Generalized	mean	based back-propagation of errors for ambiguity resolution
Generalized	mean	For Feature Extraction in One-Class Classification Problems
Generalized	mean	for robust principal component analysis
Generalized Median Graph Computation by	mean	s of Graph Embedding in Vector Spaces
Generalized Median String Computation by	mean	s of String Embedding in Vector Spaces
generalized nonlocal	mean	framework with object-level cues for saliency detection, A
Generalized re-weighting local sampling	mean	discriminant analysis
Generalizing the Nonlocal-	mean	s to Super-Resolution Reconstruction
Generation of Highly Accurate DEMs Over Flat Areas by	mean	s of Dual-Frequency and Dual-Baseline Airborne SAR Interferometry
genetic algorithm that exchanges neighboring centers for k-	mean	s clustering, A
Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-	mean	s Clustering, A
genetic algorithm with gene rearrangement for K-	mean	s clustering, A
Genetic C-	mean	s Clustering-Algorithm Applied to Color Image Quantization, A
Genetic Sampling k-	mean	s for Clustering Large Data Sets
Genetic-based K-	mean	s algorithm for selection of feature variables
Geodesic Geometric	mean	of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images
Geodesic K-	mean	s clustering
Geometric	mean	for Subspace Selection
Geometrically Guided Fuzzy C-	mean	s Clustering for Multivariate Image Segmentation
Glacier Velocity Estimation by	mean	s of a Polarimetric Similarity Measure
global k-	mean	s clustering algorithm, The
Global	mean	Sea Level Variation on Interannual-Decadal Timescales: Climatic Connections
Global	mean	Sea Surface Height Estimated from Spaceborne Cyclone-GNSS Reflectometry
Global Model for Estimating Tropospheric Delay and Weighted	mean	Temperature Developed with Atmospheric Reanalysis Data from 1979 to 2017, A
GNSS Signal Interference Classified by	mean	s of a Supervised Learning Method Applied in the Time-Frequency Domain
Goal event detection in broadcast soccer videos by combining heuristic rules with unsupervised fuzzy c-	mean	s algorithm
Google Earth Engine Tool to Investigate, Map and Monitor Volcanic Thermal Anomalies at Global Scale by	mean	s of Mid-High Spatial Resolution Satellite Data, A
Graph Embedding Framework for Maximum	mean	Discrepancy-Based Domain Adaptation Algorithms, A
Graph Embedding in Vector Spaces by	mean	s of Prototype Selection
Graph matching based on	mean	field theory
Graph-Based k-	mean	s Clustering: A Comparison of the Set Median versus the Generalized Median Graph
Gravitational weighted fuzzy c-	mean	s with application on multispectral image segmentation
Grip-Pattern Verification for Smart Gun Based on Maximum-Pairwise Comparison and	mean	-Template Comparison
Ground Deformation Analysis of Bolvadin (W. Turkey) by	mean	s of Multi-Temporal InSAR Techniques and Sentinel-1 Data
Ground topography estimation over forests using PolInSAR image by	mean	s of coherence set
Group Sparsity via SURE Based on Regression Parameter	mean	Squared Error
Grouping Character Shapes by	mean	s of Genetic Programming
Grouping K-	mean	s Adjacent Regions for Semantic Image Annotation Using Bayesian Networks
H-	mean	s image segmentation to identify solar thermal features
Half Quadratic Analysis for	mean	Shift: With Extension to A Sequential Data Mode-Seeking Method
Hand Posture Classification by	mean	s of a New Contour Signature
Handwriting Identification by	mean	s of Run-Length Measurements
Hardware-Driven Adaptive K-	mean	s Clustering for Real-Time Video Imaging
Harmonic	mean	for subspace selection
Harmonic	mean	normalized Laplace-Beltrami spectral descriptor
Hashed Nonlocal	mean	s for Rapid Image Filtering
HEP-2 cell image classification using local features and K-	mean	s clustering based joint sparse representation
heuristic k-	mean	s clustering algorithm by kernel pca, A
HG-	mean	s: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering
Hidden markov random field model selection criteria based on	mean	field-like approximations
Hierarchical Blurring	mean	-Shift
Hierarchical evolving	mean	-shift
Hierarchical Fast	mean	-Shift Segmentation in Depth Images
Hierarchical initialization approach for K-	mean	s clustering
Hierarchical Layered	mean	Shift Methods
Hierarchical Region	mean	-Based Image Segmentation
Hierarchical representation learning using spherical k-	mean	s for segmentation-free word spotting
Hierarchically Distributed Dynamic	mean	Shift
Hierarchy of nonlocal	mean	s for preferred automatic sharpness enhancement and tone mapping
High capacity reversible data hiding based on histogram shifting and non-local	mean	s
High density impulse noise removal based on linear	mean	-median filter
High dimensional nearest neighbor classification based on	mean	absolute differences of inter-point distances
High-Capacity Data Hiding in Halftone Images Using Minimal-Error Bit Searching and Least-	mean	Square Filter
High-fidelity lenticular screening by	mean	s of iterative tone correction
High-resolution ISAR imaging of maneuvering targets by	mean	s of the range instantaneous doppler technique: modeling and performance analysis
Histogram based fuzzy C-	mean	algorithm for image segmentation
HMM-Based Recognition of Online Handwritten Mathematical Symbols Using Segmental K-	mean	s Initialization and a Modified Pen-Up/Down Feature
How much can k-	mean	s be improved by using better initialization and repeats?
How to Use K-	mean	s for Big Data Clustering?
Human action recognition by	mean	s of subtensor projections and dense trajectories
Human detection in groups using a fast	mean	shift procedure
Human Fall Detection by	mean	Shift Combined with Depth Connected Components
Human Posture Recognition: Eigenspace Tuning By A	mean	Eigenspace
human skin detector combining	mean	shift analysis and watershed algorithm, A
Human Tracking Using Spatialized Multi-level Histogram and	mean	Shift
Human Vision Pathology Diagnostics by Photogrammetrics	mean	s
Hybrid Approach for Multiparametric	mean	Shift Filtering
Hybridization of An Improved Particle Swarm Optimization and Fuzzy K-	mean	s Algorithm for Hyperspectral Image Classification, A
Hybridization of particle swarm optimization with the K-	mean	s algorithm for image classification
Hybridization of the Ant Colony Optimization with the K-	mean	s Algorithm for Clustering
Hyperkernel-based intuitionistic fuzzy c-	mean	s for denoising color archival document images
Hyperparameter-Free Localized Simple Multiple Kernel K-	mean	s With Global Optimum
Hyperspectral image classification using discontinuity adaptive class-relative nonlocal	mean	s and energy fusion strategy
I-k-	mean	s-+: An iterative clustering algorithm based on an enhanced version of the k-means
I-k-	mean	s-+: An iterative clustering algorithm based on an enhanced version of the k-means
Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized	mean	Shift Clustering Algorithm Using Terrestrial Laser Scanning
Ilac-Project: Supporting Ancient Coin Classification by	mean	s of Image Analysis, The
Illumination control as a	mean	s of enhancing image features in active vision systems
Illumination invariant	mean	-shift tracking
Illumination-invariant non-local	mean	s based video denoising
Image and Video Compression Algorithms Based on Recovery Techniques Using	mean	-Field Annealing
Image and Video Segmentation by Anisotropic Kernel	mean	Shift
Image Boundary Extension With	mean	Value for Cosine-Sine Modulated Lapped/Block Transforms
Image contrast enhancement using geometric	mean	filter
Image data processing method by reducing image noise, and camera integrating	mean	s for implementing said method
Image de-noising by non-local	mean	s algorithm
Image Decoding Over Noisy Channels Using Minimum	mean	-Squared Estimation and a Markov Mesh
image denoising algorithm for mixed noise combining nonlocal	mean	s filter and sparse representation technique, An
Image denoising and zooming under the linear minimum	mean	square-error estimation framework
Image denoising based on non-local	mean	s filter and its method noise thresholding
Image Denoising by Harmonic	mean	Curvature Flow
Image Denoising Using	mean	Curvature of Image Surface
Image Denoising Using Quadtree-Based Nonlocal	mean	s With Locally Adaptive Principal Component Analysis
Image distortions produced by	mean	, median and mode filters
Image fusion by	mean	s of A trous discrete wavelet decomposition
Image Novelty Detection Based on	mean	-Shift and Typical Set Size
Image Processing Algorithm Based on Bi-dimensional Local	mean	Decomposition
Image processing system having skew correcting	mean	s
Image Quality Assessment Using	mean	-Centered Weber Ratio and Saliency Map, An
Image Reduction Using	mean	s on Discrete Product Lattices
Image Representation and Retrieval Using Support Vector Machine and Fuzzy C-	mean	s Clustering Based Semantical Spaces
Image restoration using a kNN-variant of the	mean	-shift
Image Segmentation Algorithm Using Iteratively the	mean	Shift, An
Image Segmentation and Filtering of Anaerobic Lagoon Floating Cover in Digital Elevation Model and Orthomosaics Using Unsupervised k-	mean	s Clustering for Scum Association Analysis
Image Segmentation Based on Adaptive Fuzzy-C-	mean	s Clustering
Image Segmentation Based on k-	mean	s Clustering and Energy-Transfer Proximity
Image segmentation by a robust generalized fuzzy c-	mean	s algorithm
Image segmentation by dirichlet process mixture model with generalised	mean
Image segmentation by	mean	s of fuzzy entropy measure
Image segmentation by	mean	s of temporal parallax difference induction
Image Segmentation Using Linked	mean	-Shift Vectors and Global/Local Attributes
Image Segmentation Using Probabilistic Fuzzy C-	mean	s Clustering
Image Segmentation Via Adaptive K-	mean	Clustering And Knowledge-Based Morphological Operations With Biomedical Applications
Image Segmentation with Minimum	mean	Cut
image-hiding method with high hiding capacity based on best-block matching and k-	mean	s clustering, An
Image-Processing Technique for Suppressing Ribs in Chest Radiographs by	mean	s of Massive Training Artificial Neural Network (MTANN)
Image-Processing: Flows under Min/Max Curvature and	mean	-Curvature
Image-shake correcting device having first and second correcting	mean	s and control means for proportionately applying same
Image-shake correcting device having first and second correcting	mean	s and control means for proportionately applying same
Image-shake correcting device utilizing optical correcting	mean	s and electronic correcting means
Image-shake correcting device utilizing optical correcting	mean	s and electronic correcting means
Imaging of voids by	mean	s of a physical-optics-based shape-reconstruction algorithm
Implementation of Non Local	mean	s Filter in GPUs
Implementation of the	mean	Shift Algorithm, An
improved anisotropic hierarchical fuzzy c-	mean	s method based on multivariate student t-distribution for brain MRI segmentation, An
Improved Block Truncation Coding Using Extreme	mean	Value Scaling and Block-Based High Speed Direct Binary Search
Improved Coastal Marine Gravity Field Based on the	mean	Sea Surface Height Constraint Factor Method, An
Improved Empirical Coefficients for Estimating Water Vapor Weighted	mean	Temperature over Europe for GNSS Applications
improved fast edit approach for two-string approximated	mean	computation applied to OCR, An
Improved fast	mean	shift algorithm for remote sensing image segmentation
Improved fuzzy c-	mean	s clustering by varying the fuzziness parameter
Improved Image Decoding over Noisy Channels Using Minimum	mean	-Squared Estimation and a Markov Mesh
Improved Indoor Positioning by	mean	s of Occupancy Grid Maps Automatically Generated from OSM Indoor Data
Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with	mean	-field Inference
improved Kernel-based Fuzzy C-	mean	s Algorithm with spatial information for brain MR image segmentation, An
Improved Low-Complexity Intraband Lossless Compression of Hyperspectral Images by	mean	s of Slepian-Wolf Coding
Improved	mean	Shift Algorithm with Heterogeneous Node Weights
Improved	mean	shift for multi-target tracking
Improved	mean	shift integrating texture and color features for robust real time object tracking
Improved	mean	shift target tracking based on self-organizing maps
improved	mean	Shift tracker with fast failure recovery strategy after complete occlusion, An
improved	mean	-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking, An
improved method for voice pathology detection by	mean	s of a HMM-based feature space transformation, An
Improved Modified Suppressed Fuzzy C-	mean	s
Improved Non-Local	mean	s Algorithm Based on Dimensionality Reduction
improved nonlocal	mean	s-based correction strategy for mixed noise removal, An
Improved object tracking via joint color-LPQ texture histogram based	mean	shift algorithm
Improved Possibilistic C-	mean	s Algorithm Based on Kernel Methods, An
Improved precision of fixed-point algorithms by	mean	s of common factors
improved proportionate least	mean	p-power algorithm for adaptive filtering, An
Improved Prototype Embedding Based Generalized Median Computation by	mean	s of Refined Reconstruction Methods
improved search algorithm for vector quantization using	mean	pyramid structure, An
Improved Small Baseline processing by	mean	s of CAESAR eigen-interferograms decomposition
Improved Spatiotemporal Weighted	mean	Temperature Model over Europe Based on the Nonlinear Least Squares Estimation Method, An
Improved Superpixel-Based Fast Fuzzy C-	mean	s Clustering for Image Segmentation
Improved Technique to Detect the Infarction in Delayed Enhancement Image Using K-	mean	Method
Improvement of EPIC/DSCOVR Image Registration by	mean	s of Automatic Coastline Detection
Improvement of interpolated color filter array image using modified	mean	-removed classified vector quantization
Improvement of phase-based algorithms for disparity estimation by	mean	s of magnitude information
Improvement of the k-	mean	s clustering filtering algorithm
Improvement of thin retinal vessel extraction using	mean	matting method
Improvement on	mean	Shift based tracking using second-order information
Improvements in Precise Orbits of Altimetry Satellites and Their Impact on	mean	Sea Level Monitoring
Improvements to the relational fuzzy c-	mean	s clustering algorithm
Improving a Genetic Algorithm Segmentation by	mean	s of a Fast Edge Detection Technique
Improving Approximate Graph Edit Distance by	mean	s of a Greedy Swap Strategy
Improving biometric recognition by	mean	s of score ratio, the likelihood ratio for non-probabilistic classifiers. A benchmarking study
Improving CNN linear layers with power	mean	non-linearity
Improving Fuzzy C-	mean	s Clustering Based on Feature-Weight Learning
Improving fuzzy c-	mean	s clustering based on local membership variation
Improving image segmentation by gradient vector flow and	mean	shift
Improving Image Vector Quantization with a Genetic Accelerated K-	mean	s Algorithm
Improving K-	mean	s by Outlier Removal
Improving	mean	Minimum and Maximum Month-to-Month Air Temperature Surfaces Using Satellite-Derived Land Surface Temperature
Improving retinal artery and vein classification by	mean	s of a minimal path approach
Improving shape-based face recognition by	mean	s of a supervised discriminant Hausdorff distance
Improving the Estimation of Weighted	mean	Temperature in China Using Machine Learning Methods
Improving the GIS-DRP Approach by	mean	s of Delineating Runoff Characteristics with New Discharge Relevant Parameters
Improving the performance of k-	mean	s for color quantization
Improving the Recognition of Occluded Faces by	mean	s of Two-dimensional Orthogonal Projection into Local Subspaces
Improving the reliability of 3D people tracking system by	mean	s of deep-learning
Improving Undersampled MRI Reconstruction Using Non-local	mean	s
Improving Wavelet De-Noise By	mean	s of Shifting-Scale-Method
Improving writer identification by	mean	s of feature selection and extraction
Impulse Noise Removal Using Directional Difference Based Noise Detector and Adaptive Weighted	mean	Filter
In-Vivo Electrical Properties Estimation of Biological Tissues by	mean	s of a Multi-Step Microwave Tomography Approach
Incorporating prior information in the fuzzy C-	mean	algorithm with application to brain tissues segmentation in MRI
Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by	mean	s of UAV Images and Deep Learning
Industrial image processing by	mean	s of an image recognition integrated system
Inexact graph matching by	mean	s of estimation of distribution algorithms
Inference of Complex Trajectories by	mean	s of a Multibehavior and Multiobject Tracking Algorithm
Infrared Focal Plane Array Imaging System Characterization by	mean	s of a Blackbody Radiator
Infrared Ship Target Image Smoothing Based on Adaptive	mean	Shift
InSAR Coherence-Dependent Fuzzy C-	mean	s Flood Mapping Using Particle Swarm Optimization
Integrated probability function on local	mean	distance for image recognition
Integrated Surface Parameter Inversion Scheme Over Agricultural Fields at Early Growing Stages by	mean	s of C-Band Polarimetric RADARSAT-2 Imagery, An
Integrating the Eigendecomposition Approach and k-	mean	s Clustering for Inferring Building Functions with Location-Based Social Media Data
Integration of Information Theory, K-	mean	s Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China
Integration of Spatial and Spectral Information by	mean	s of Unsupervised Extraction and Classification for Homogenous Objects Applied to Multispectral and Hyperspectral Data
Integration of spatio-temporal information for motion detection by	mean	s of fuzzy reasoning
Intelligent Management Functionality for Improving Transportation Efficiency by	mean	s of the Car Pooling Concept
Intelligent Mining of Urban Ventilated Corridor Based on Digital Surface Model under the Guidance of K-	mean	s
intelligent modified fuzzy c-	mean	s based algorithm for bias estimation and segmentation of brain MRI, An
Intensity Inhomogeneity Suppressed Fuzzy C-	mean	s for Infrared Pedestrian Segmentation
Intentions of Vulnerable Road Users: Detection and Forecasting by	mean	s of Machine Learning
Interactive graph matching by	mean	s of imposing the pairwise costs
Interactive Self-Training with	mean	Teachers for Semi-supervised Object Detection
Interactive Thematic Map as a	mean	s of Documenting and Visualizing Information about Cultural Heritage Objects
Interpolation of the	mean	Anomalies for Cloud Filling in Land Surface Temperature and Normalized Difference Vegetation Index
Interpreting the Contribution of Sensors in Blind Source Extraction by	mean	s of Shapley Values
Intersection of Parametric Surfaces by	mean	s of Look-Up Tables
Interval data-based k-	mean	s clustering method for traffic state identification at urban intersections
Intra and Inter-band Information Evaluation in Still Image Coding by	mean	s of the Wavelet Transform
Intra compression of pixel blocks using predicted	mean
Intracranial hemorrhage detection using spatial fuzzy c-	mean	and region-based active contour on brain CT imaging
Intrinsic	mean	for Semi-metrical Shape Retrieval Via Graph Cuts
Intrinsic	mean	shift for clustering on Stiefel and Grassmann manifolds
Intrinsic sample	mean	in the space of planar shapes
Invariant foreground occupation ratio for scale adaptive	mean	shift tracking
Invertibility of a Special Class of	mean	Filter Operators
Investigating the 59-Day Error Signal in the	mean	Sea Level Derived From TOPEX/Poseidon, Jason-1, and Jason-2 Data With FES and GOT Ocean Tide Models
Iris matching by	mean	s of Machine Learning paradigms: A new approach to dissimilarity computation
Is Accurate Synoptic Altimetry Achievable by	mean	s of Interferometric GNSS-R?
Iterated Nonlocal	mean	s for Texture Restoration
Iterative linear minimum	mean	-square-error image restoration from partially known blur
Iterative non-local	mean	s filter for salt and pepper noise removal
Iterative Truncated Arithmetic	mean	Filter and Its Properties
J-	mean	S: A New Local Search Heuristic for Minimum Sum of Squares Clustering
Jacobians and Hessians of	mean	value coordinates for closed triangular meshes
James-Stein Type Center Pixel Weights for Non-Local	mean	s Image Denoising
Jensen divergence based SPD matrix	mean	s and applications
Joint filtering estimation of Stokes vector images based on a nonlocal	mean	s approach
Joint K-	mean	s quantization for Approximate Nearest Neighbor Search
Joint Learning of Fuzzy k-	mean	s and Nonnegative Spectral Clustering With Side Information
Joint low-rank project embedding and optimal	mean	principal component analysis
Joint Minimization of the	mean	and Information Entropy of the Matching Filter Distribution for a Robust Misfit Function in Full-Waveform Inversion
Joint particle filters and multi-mode anisotropic	mean	shift for robust tracking of video objects with partitioned areas
K'-	mean	s algorithms for clustering analysis with frequency sensitive discrepancy metrics
k*-	mean	s: A new generalized k-means clustering algorithm
k*-	mean	s: A new generalized k-means clustering algorithm
K-	mean	s Algorithm to Identify k1-Most Demanding Products
k-	mean	s as a variational EM approximation of Gaussian mixture models
K-	mean	s Based Multiple Objects Tracking with Long-Term Occlusion Handling
K-	mean	s based segmentation for real-time zenithal people counting
K-	mean	s Clustering
k-	mean	s clustering algorithm, A
K-	mean	s Clustering Approach to UAS Classification via Graphical Signal Representation of Radio Frequency Signals for Air Traffic Early Warning
K-	mean	s Clustering Based Feature Consistency Alignment for Label-free Model Evaluation
K-	mean	s clustering for support construction in diffractive imaging
K-	mean	s clustering of proportional data using L1 distance
K-	mean	s Clustering Versus Validation Measures: A Data-Distribution Perspective
k-	mean	s clustering with outlier removal
K-	mean	s Color Image Quantization with Deterministic Initialization: New Image Quality Metrics
K-	mean	s for noise-insensitive multi-dimensional feature learning
K-	mean	s Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes
K-	mean	s Iterative Fisher (KIF) unsupervised clustering algorithm applied to image texture segmentation
k-	mean	s Mask Transformer
k-	mean	s type clustering algorithm for subspace clustering of mixed numeric and categorical datasets, A
K-	mean	s-based Algorithm for Projective Clustering, A
K-	mean	s-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
K-	mean	s: Clustering by gradual data transformation
K-polytopes: a superproblem of k-	mean	s
Karcher	mean	in Elastic Shape Analysis
KDE Paring and a Faster	mean	Shift Algorithm
Kernel Bisecting k-	mean	s clustering for SVM training sample reduction
Kernel correlation-dissimilarity for Multiple Kernel k-	mean	s clustering
Kernel K-	mean	s Sampling for Nystrom Approximation
Kernel Least	mean	p-Power Algorithm
Kernel Least	mean	Square with Single Feedback
Kernel matrix trimming for improved Kernel K-	mean	s clustering
Kernel Maximum	mean	Discrepancy for Region Merging Approach
Kernel	mean	P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition
Kernel methods for weakly supervised	mean	shift clustering
Kernel Recursive Least Squares Algorithm Based on the Nystrom Method With k-	mean	s Sampling
Kite Recognition by	mean	s of Graph Matching
KText: Arbitrary shape text detection using modified K-	mean	s
Ku Band Terrestrial Radar Observations by	mean	s of Circular Polarized Antennas
Label Detection and Recognition for USPTO Images Using Convolutional K-	mean	s Feature Quantization and Ada-Boost
Lambda	mean	s clustering: Automatic parameter search and distributed computing implementation
Land Cover Characterization and Classification of Arctic Tundra Environments by	mean	s of Polarized Synthetic Aperture X- and C-Band Radar (PolSAR) and Landsat 8 Multispectral Imagery: Richards Island, Canada
Landslide Activity Maps Generation by	mean	s of Persistent Scatterer Interferometry
large scale clustering scheme for kernel k-	mean	s, A
Layered	mean	Shift Methods
Layout based document image retrieval by	mean	s of XY tree reduction
Leaf Segmentation Based on k-	mean	s Algorithm to Obtain Leaf Angle Distribution Using Terrestrial LiDAR
Learn Concepts in Multiple-Instance Learning with Diverse Density Framework Using Supervised	mean	Shift
Learning and recognising 3d models represented by multiple views by	mean	s of methods based on random graphs
Learning Assignment Order of Instances for the Constrained K-	mean	s Clustering Algorithm
Learning Bayesian networks for clustering by	mean	s of constructive induction
Learning Framework for Morphological Operators Using Counter-Harmonic	mean	, A
Learning global image representation with generalized-	mean	pooling and smoothed average precision for large-scale CBIR
Learning	mean	progressive scattering using binomial truncated loss for image dehazing
Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-	mean	s Clustering
LIDAR Data Classification Using Hierarchical K-	mean	s Clustering
Lidar with multi-temporal MODIS provide a	mean	s to upscale predictions of forest biomass
Linear approximation of	mean	curvature
Linear Feature Extraction for Multiclass Classification Problems Based on Class	mean	and Covariance Discriminant Information, A
linear multivariate binary decision tree classifier based on K-	mean	s splitting, A
Linear Time Implementation of k-	mean	s for Multilevel Thresholding of Grayscale Images, A
LinkFCM: Relation integrated fuzzy c-	mean	s
Local Clustering with	mean	Teacher for Semi-supervised learning
Local convergence of the fuzzy c-	mean	s algorithms
local evaluation of vectorized documents by	mean	s of polygon assignments and matching, A
Local Jet Based Similarity for NL-	mean	s Filtering
Local	mean	Multiphase Segmentation with HMMF Models
Local	mean	spatio-temporal feature for depth image-based speed-up action recognition
local	mean	-based nonparametric classifier, A
Local Orientation Analysis in Images by	mean	s of the Hermite Transform
Local-	mean	Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to 90Y-PET
Localisation and Mapping of Self-driving Vehicles based on Fuzzy K-	mean	s Clustering: A Non-semantic Approach
Localisation of the optic disc by	mean	s of GA-optimised Topological Active Nets
Localization of Piled Boxes by	mean	s of the Hough Transform
Localized Simple Multiple Kernel K-	mean	s
Location Prediction in Real Homes of Older Adults based on K-	mean	s in Low-Resolution Depth Videos
Logarithmic reweighting nonnegative least	mean	square algorithm
Look ATME: The Discriminator	mean	Entropy Needs Attention
Lookahead Diffusion Probabilistic Models for Refining	mean	Estimation
Loop-shaping techniques applied to the least-	mean	-squares algorithm
low-complexity error concealment algorithm for video transmission based on non-local	mean	s denoising, A
low-cost parallel K-	mean	s VQ algorithm using cluster computing, A
Low-Dose CT Image Restoration Based on Adaptive Prior Feature Matching and Nonlocal	mean	s
Low-Frequency	mean	Square Slopes and Dominant Wave Spectral Properties: Toward Tropical Cyclone Remote Sensing
Lung cancer classification using exponential	mean	saturation linear unit activation function in various generative adversarial network models
Lung computed axial tomography image segmentation using possibilistic fuzzy C-	mean	s approach for computer aided diagnosis system
Lytic Region Recognition in Hip Radiograms by	mean	s of Statistical Dominance Transform
Machine Learning Based on Minimizing Robust	mean	Estimates
MaD-DLS:	mean	and Deviation of Deep and Local Similarity for Image Quality Assessment
Main Directional	mean	Optical Flow Feature for Spontaneous Micro-Expression Recognition, A
Mammographic Mass Segmentation Using Fuzzy C-	mean	s and Decision Trees
Managing Particle Spread via Hybrid Particle Filter/Kernel	mean	Shift Tracking
Manifold blurring	mean	shift algorithms for manifold denoising
Mapping Forest Degradation due to Selective Logging by	mean	s of Time Series Analysis: Case Studies in Central Africa
Mapping forest tree species in high resolution UAV-based RGB-imagery by	mean	s of convolutional neural networks
Mapping of Daily	mean	Air Temperature in Agricultural Regions Using Daytime and Nighttime Land Surface Temperatures Derived from TERRA and AQUA MODIS Data
Mapping of	mean	Deformation Rates Based on APS-Corrected InSAR Data Using Unsupervised Clustering Algorithms
Mapping Spatial Patterns of Posidonia oceanica Meadows by	mean	s of Daedalus ATM Airborne Sensor in the Coastal Area of Civitavecchia (Central Tyrrhenian Sea, Italy)
Mapping Succession in Non-Forest Habitats by	mean	s of Remote Sensing: Is the Data Acquisition Time Critical for Species Discrimination?
MapReduce framework based big data clustering using fractional integrated sparse fuzzy C	mean	s algorithm
Markov Model for Blind Image Separation by a	mean	-Field EM Algorithm, A
Markovian clustering for the non-local	mean	s image denoising
Mathematical Structures of Line Drawings of Polyhedrons: Toward Man-Machine Communication by	mean	s of Line Drawings
Maximum	mean	discrepancy regularized sparse reconstruction for robust salient regions detection
	mean	and Covariance Properties of Dynamic PET Reconstructions From List-Mode Data
	mean	and maximum common subgraph of two graphs
	mean	and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography
	mean	Boundary Curve of Anatomical Objects, The
	mean	Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task
	mean	Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential
	mean	Curvature Is a Good Regularization for Image Processing
	mean	Curvature Mapping for Detection of Corneal Shape Abnormality
	mean	Curvature, the Laplacian, and Soap Bubbles
	mean	Decision Rules Method with Smart Sampling for Fast Large-Scale Binary SVM Classification
	mean	field annealing approach to accurate free form shape matching, A
	mean	Field Annealing Deformable Contour Method: A Constrained Global Optimization Approach
	mean	Field Annealing EM for Image Segmentation
	mean	Field Annealing Using Compound Gauss-Markov Random Fields for Edge Detection and Image Estimation
	mean	Field Annealing: A Formalism for Constructing GNC-Like Algorithms
	mean	field approach for tracking similar objects
	mean	Field EM-algorithm for Coherent Occlusion Handling in MAP-Estimation Prob, A
	mean	Field for Continuous High-order MRFs
	mean	Field Theory for Surface Reconstruction
	mean	Field Theory in EM Procedures for Blind Markov Random Field Image Restoration, The
	mean	Fields and Two Dimensional Markov Random Fields
	mean	gradient descent: an optimization approach for single-shot interferogram analysis
	mean	Inflection Point Distance: Artificial Intelligence Mapping Accuracy Evaluation Index: An Experimental Case Study of Building Extraction
	mean	LBP and modified fuzzy C-means weighted hybrid feature for illumination invariant mean-shift tracking
	mean	LBP and modified fuzzy C-means weighted hybrid feature for illumination invariant mean-shift tracking
	mean	LBP and modified fuzzy C-means weighted hybrid feature for illumination invariant mean-shift tracking
	mean	Map Kernel Methods for Semisupervised Cloud Classification
	mean	Moment of Inertia for Irregularly Shaped Phobos and Its Application to the Constraint for the Two-Layer Interior Structure for the Martian Moon, The
	mean	oriented Riesz features for micro expression classification
	mean	Partition Theorem in consensus clustering, The
	mean	Polynomial Kernel and Its Application to Vector Sequence Recognition
	mean	Predictive Block Matching (MPBM) for fast block-matching motion estimation
	mean	quantization based image watermarking
	mean	Quantization Blind Watermarking for Image Authentication
	mean	Sea Surface (MSS) Model Determination for Malaysian Seas Using Multi-Mission Satellite Altimeter
	mean	Sea Surface Model over the Sea of Japan Determined from Multi-Satellite Altimeter Data and Tide Gauge Records
	mean	Seasonal Sea Surface Height Variations in and around the Makassar Strait
	mean	sets for building 3D probabilistic liver atlas from perfusion MR images
	mean	Shape Models for Polyp Detection in CT Colonography
	mean	Shift
	mean	shift algorithm and the unified framework, The
	mean	shift algorithm equipped with the intersection of confidence intervals rule for image segmentation
	mean	Shift Analysis and Applications
	mean	Shift and Optimal Prediction for Efficient Object Tracking
	mean	shift based algorithm for mammographic breast mass detection
	mean	shift based clustering in high dimensions: A Texture Classification Example
	mean	shift based clustering of Hough domain for fast line segment detection
	mean	shift based gradient vector flow for image segmentation
	mean	shift based nonparametric motion characterization
	mean	shift blob tracking with kernel histogram filtering and hypothesis testing
	mean	shift clustering based outlier removal for global motion estimation
	mean	shift clustering for personal photo album organization
	mean	shift clustering-based moving object segmentation in the H.264 compressed domain
	mean	shift feature space warping for relevance feedback
	mean	Shift for Self-Supervised Learning
	mean	Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces
	mean	Shift Is a Bound Optimization
	mean	Shift Parallel Tracking on GPU
	mean	Shift Segmentation Assessment for Individual Forest Tree Delineation from Airborne Lidar Data
	mean	shift spectral clustering
	mean	Shift Trackers with Cross-Bin Metrics
	mean	Shift tracking with multiple reference color histograms
	mean	Shift with Flatness Constraints
	mean	Shift, Mode Seeking, And Clustering
	mean	shift-based Bayesian image reconstruction into visual subspace
	mean	shift-based clustering
	mean	Shift: A Robust Approach Toward Feature Space Analysis
	mean	shift: An information theoretic perspective
	mean	Square Error Estimation in Thresholding
	mean	string algorithm to compute the average among a set of 2D shapes, A
	mean	subjective utility score, a novel metric for cost-sensitive classifier evaluation, The
	mean	Value Bezier Maps
	mean	value coordinates-based caricature and expression synthesis
	mean	Weight Behavior of Coupled LMS Adaptive Systems Applied to Acoustic Feedback Cancellation in Hearing Aids
	mean	Weight Behavior of the NLMS Algorithm for Correlated Gaussian Inputs
	mean	-Absolute-Error Representation and Optimization of Computational-Morphological Filters
	mean	-Based Blind Hard Decision Fusion Rules
	mean	-Curvature Evolution and Surface-Area Scaling in Image Filtering
	mean	-Entropy-Skewness Fuzzy Portfolio Selection by Credibility Theory Approach
	mean	-Field Annealing Approach To Robust Corner Detection, A
	mean	-Field Approach to Learning in Boltzmann Machines
	mean	-Field Phase Transistions and Correlation Functions for Gibbs Random Fields
	mean	-shift analysis using quasi-newton methods
	mean	-Shift and Sparse Sampling-Based SMC-PHD Filtering for Audio Informed Visual Speaker Tracking
	mean	-shift background image modelling
	mean	-shift based mixture model for face detection in color image
	mean	-shift based object detection and clustering from high resolution remote sensing imagery
	mean	-shift blob tracking through scale space
	mean	-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
	mean	-Shift Blob Tracking with Kernel-Color Distribution Estimate and Adaptive Model Update Criterion
	mean	-shift clustering for interactive multispectral image analysis
	mean	-Shift Object Tracking with a Novel Back-Projection Calculation Method
	mean	-shift outlier detection and filtering
	mean	-Shift segmentation and PDE-based nonlinear diffusion: Toward a common variational framework for foreground/background document image segmentation
	mean	-shift segmentation with wavelet-based bandwidth selection
	mean	-shift tracking algorithm with weight fusion strategy
	mean	-Shift Tracking of Variable Kernel Based on Projective Geometry
	mean	-Shift Tracking Techniques
	mean	-Shift Tracking with Random Sampling
	mean	-shift Visual Tracking with NP-Windows Density Estimates
	mean	-Shift-Based Speckle Filtering of Polarimetric SAR Data
	mean	-square deviation analysis of the zero-attracting variable step-size LMS algorithm
	mean	-square-error optimality of orthogonal space-time block codes
	mean	-Variance Loss for Deep Age Estimation from a Face
	mean	-Variance Loss for Monocular Depth Estimation
	mean	: Multi - Element Attention Network for Scene Text Recognition
	mean	s clustering with a new divergence-based distance metric: Convergence and performance analysis
	mean	s in spaces of tree-like shapes
	mean	s of 2D and 3D Shapes and Their Application in Anatomical Atlas Building
Measuring Understory Fire Effects from Space: Canopy Change in Response to Tropical Understory Fire and What This	mean	s for Applications of GEDI to Tropical Forest Fire
Medial Axes and	mean	Curvature Motion I: Regular Points
Medial Axes and	mean	Curvature Motion II: Singularities
Median Graph Computation by	mean	s of a Genetic Approach Based on Minimum Common Supergraph and Maximum Common Subgraph
Medical Image Segmentation Using K-	mean	s Clustering and Improved Watershed Algorithm
Medical Image Segmentation Using	mean	Field Annealing Network
Memetic Algorithm Image Enhancement for Preserving	mean	Brightness Without Losing Image Features
Method and	mean	s for detecting people in image sequences
Method and	mean	s for efficiently handling boundary conditions in connected component labeling
Method and	mean	s for Recognizing Complex Patterns
method for initialising the K-	mean	s clustering algorithm using kd-trees, A
Method for tracking moving object by	mean	s of specific characteristics
Methodology For Landslide Monitoring In A Road Cut By	mean	s Of Terrestrial Laser-scanning Techniques
MFDTs:	mean	Field Dynamic Trees
Micro-Doppler Analysis and Separation Based on Complex Local	mean	Decomposition for Aircraft With Fast-Rotating Parts in ISAR Imaging
Mind the Class Weight Bias: Weighted Maximum	mean	Discrepancy for Unsupervised Domain Adaptation
Minimal	mean	-Curvature-Variation Surfaces and Their Applications in Surface Modeling
Minimizing stochastic moire in frequency-modulated halftones by	mean	s of green-noise masks
Minimum	mean	Absolute Error Predictors for Lossless Image Coding
Minimum	mean	square error detector for multimessage spread spectrum embedding
Minimum	mean	Square Error FIR Filter Banks with Arbitrary Filter Lengths
Minimum	mean	square error space-varying filtering of interferometric SAR data
Mining tweets of Moroccan users using the framework Hadoop, NLP, K-	mean	s and basemap
Minkowski metric, feature weighting and anomalous cluster initializing in K-	mean	s clustering
MinMax k-	mean	s clustering algorithm, The
Mirror symmetry detection in curves represented by	mean	s of the Slope Chain Code
Mixed Effects Model to Estimate Stand Volume by	mean	s of Small Footprint Airborne Lidar Data for an American and German Study Site, A
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the	mean	Shift
MMSE nonlocal	mean	s denoising algorithm for Poisson noise removal
Mode Seeking Clustering by KNN and	mean	Shift Evaluated
Model-Based Image-Reconstruction by	mean	s of a Constrained Least-Squares Solution
Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy C-	mean	s
Modeling Deformable Filament Bundles by	mean	s of Mass-Spring Systems for the Design of Carbon Reinforced Materials
Modeling	mean	Radiant Temperature Distribution in Urban Landscapes Using DART
Modeling pixel	mean	s and covariances using factorized third-order boltzmann machines
Modeling Spatial	mean	s of Surfaces With Stratified Nonhomogeneity
Modelling multiple quantiles together with the	mean	based on SA-ConvLSTM for taxi pick-up prediction
Modelling the Environment of an Exploring Vehicle by	mean	s of Stereo Vision
Modelling the Spectral Uncertainty of Geographic Features in High-Resolution Remote Sensing Images: Semi-Supervising and Weighted Interval Type-2 Fuzzy C-	mean	s Clustering
Modern displays: Why we see different colors, and what it	mean	s?
modified fuzzy C-	mean	s algorithm for bias field estimation and segmentation of MRI data, A
Modified Fuzzy C-	mean	s Algorithm for MR Brain Image Segmentation, A
modified fuzzy c-	mean	s algorithm with adaptive spatial information for color image segmentation, A
modified fuzzy C-	mean	s image segmentation algorithm for use with uneven illumination patterns, A
Modified global k-	mean	s algorithm for minimum sum-of-squares clustering problems
Modified Hopfield Neural Network with Fuzzy C-	mean	s Technique for Multispectral MR Image Segmentation, A
modified interval type-2 fuzzy C-	mean	s algorithm with application in MR image segmentation, A
modified intuitionistic fuzzy c-	mean	s algorithm incorporating hesitation degree, A
Modified K-	mean	s Algorithm for Circular Invariant Clustering, A
Modified K-	mean	s Algorithm for Vector Quantizer Design
Modified Linear Scaling and Quantile Mapping	mean	Bias Correction of MODIS Land Surface Temperature for Surface Air Temperature Estimation for the Lowland Areas of Peninsular Malaysia
Modified	mean	shift algorithm
Modified non-local	mean	s for super-resolution of hybrid videos
Modified Version of the K-	mean	s Algorithm with a Distance Based on Cluster Symmetry, A
moM:	mean	of Moments Feature for Person Re-identification
Moments and root-	mean	-square error of the Bayesian MMSE estimator of classification error in the Gaussian model
Monitoring and Computation of the Volumes of Stockpiles of Bulk Material by	mean	s of UAV Photogrammetric Surveying
Monitoring and Evaluating Nature-Based Solutions Implementation in Urban Areas by	mean	s of Earth Observation
Monitoring of Active Rock Glaciers by	mean	s of Digital Photogrammetry
Monitoring of Forest Structure Dynamics by	mean	s of L-Band SAR Tomography
Monitoring of Horizontal Movements of High-rise Buildings and Tower Transmitters By	mean	s of Ground-based Interferometric Radar
Monitoring of the 2015 Villarrica Volcano Eruption by	mean	s of DLR's Experimental TET-1 Satellite
Monitoring the Agung (Indonesia) Ash Plume of November 2017 by	mean	s of Infrared Himawari 8 Data
Monitoring the Rapid-Moving Reactivation of Earth Flows by	mean	s of GB-InSAR: The April 2013 Capriglio Landslide (Northern Appennines, Italy)
Monte Carlo Evaluation of the Moving Method, K-	mean	s and Self-Organising Neural Networks, A
Monte Carlo Non-Local	mean	s: Random Sampling for Large-Scale Image Filtering
Monte-Carlo Acceleration of Bilateral Filter and Non-Local	mean	s
More Diverse	mean	s Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
More Robust	mean	Shift Tracker Using Joint Monogenic Signal Analysis and Color Histogram, A
More Traffic	mean	s More Accidents? the Case of French Nice Highway
morphological scheme for	mean	curvature motion and applications to anisotropic diffusion and motion of level sets, A
Motion-based segmentation by	mean	s of active contours
MRI denoising by nonlocal	mean	s on multi-GPU
MRI Upsampling Using Feature-Based Nonlocal	mean	s Approach
MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual	mean	Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery
MSKVS: Adaptive	mean	shift-based keyframe extraction for video summarization and a new objective verification approach
MTCSNet:	mean	Teachers Cross-Supervision Network for Semi-Supervised Cloud Detection
MTTrans: Cross-domain Object Detection with	mean	Teacher Transformer
Multi-agent dueling Q-learning with	mean	field and value decomposition
Multi-Channel Algorithm for Mapping Volcanic Thermal Anomalies by	mean	s of Sentinel-2 MSI and Landsat-8 OLI Data, A
Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-	mean	s
Multi-Decadal Variability of Polynya Characteristics and Ice Production in the North Water Polynya by	mean	s of Passive Microwave and Thermal Infrared Satellite Imagery
Multi-frame de-raining algorithm using a motion-compensated non-local	mean	filter for rainy video sequences
Multi-Modal Face Recognition by	mean	s of Augmented Normal Map and PCA
Multi-modal	mean	-Fields via Cardinality-Based Clamping
Multi-Object Tracking Based on Improved	mean	-Shift Algorithm
Multi-patches Iris Based Person Authentication System Using Particle Swarm Optimization And Fuzzy C-	mean	s Clustering
Multi-processor system for polygonal object recognition by	mean	s of fuzzy algorithms
Multi-scale	mean	shift tracking
Multi-Source Domain Adaptation for Object Detection with Prototype-based	mean	Teacher
Multi-target tracking with occlusion management in a	mean	field framework
Multi-task	mean	Teacher for Semi-supervised Facial Affective Behavior Analysis, A
Multi-Task	mean	Teacher for Semi-Supervised Shadow Detection, A
Multi-View Geometric	mean	Metric Learning for Kinship Verification
Multi-wavelet guided deep	mean	-shift prior for image restoration
Multichannel Nonlocal	mean	s Fusion for Color Image Denoising
Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal	mean	s Algorithm
Multimedia Fusion With	mean	-Covariance Analysis
Multimodal	mean	Adaptive Backgrounding for Embedded Real-Time Video Surveillance
Multipatch Unbiased Distance Non-Local Adaptive	mean	s With Wavelet Shrinkage
Multiphase Local	mean	Geodesic Active Regions
Multiple Class Segmentation Using A Unified Framework over	mean	-Shift Patches
Multiple importance sampling characterization by weighted	mean	invariance
Multiple Kernel kk-	mean	s with Incomplete Kernels
Multiple object clustering using FCM and K-	mean	s algorithms
Multiple Object Detection with Occlusion Using Active Contour Model and Fuzzy C-	mean
Multiple-Kernel Fuzzy C-	mean	s Algorithm for Image Segmentation, A
Multiple-Shape Reconstruction by	mean	s of Multiregion Level Sets
Multiple-shot human re-identification by	mean	Riemannian Covariance Grid
Multiprocessor architecture for real-time applications using	mean	shift clustering
Multiresolution spot detection by	mean	s of entropy thresholding
Multiscale Edge Detection and Fiber Enhancement Using Differences of Oriented	mean	s
Multiscale Image Filtering And Segmentation by	mean	s of Adaptive Neighborhood Mathematical Morphology
Multisensor Data Fusion by	mean	s of Voxelization: Application to a Construction Element of Historic Heritage
Multistage Framework With	mean	Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation, A
Multitemporal Analysis of Gully Erosion in Olive Groves by	mean	s of Digital Elevation Models Obtained with Aerial Photogrammetric and LiDAR Data
Multitemporal Landslide Inventory and Activity Analysis by	mean	s of Aerial Photogrammetry and LiDAR Techniques in an Area of Southern Spain
Natural image noise removal using nonlocal	mean	s and hidden Markov models in transform domain
NCM: Neutrosophic c-	mean	s clustering algorithm
Nearest neighbour estimators of density derivatives, with application to	mean	shift clustering
Nearest Subclass Classifier: A Compromise between the Nearest	mean	and Nearest Neighbor Classifier, The
Neighbourhood weighted fuzzy c-	mean	s clustering algorithm for image segmentation
Nerf c-	mean	s: Non-Euclidean relational fuzzy clustering
Neural	mean	Discrepancy for Efficient Out-of-Distribution Detection
Neutrosophic C-	mean	s clustering with local information and noise distance-based kernel metric image segmentation
new active contour model based on the Conscience, Archiving and	mean	-Movement mechanisms and the SOM, A
New Adaptive Weighted	mean	Filter for Removing Salt-and-Pepper Noise, A
New Algorithm for 3D Shape Recognition by	mean	s of the 2D Point Distance Histogram, A
new algorithm for initial cluster centers in k-	mean	s algorithm, A
New Augmented Lagrangian Approach for L^1-	mean	Curvature Image Denoising, A
New Automatic Planning of Inspection of 3D Industrial Parts by	mean	s of Visual System, A
new bayesian Poisson denoising algorithm based on nonlocal	mean	s and stochastic distances, A
New Cluster Validity Index for the Fuzzy C-	mean	, A
New Clustering Algorith for Segmentation of Magnetic Resonance Images Using Fuzzy C-	mean	and Computer Programming, A
New Clustering Algorithm Based on K-	mean	s Using a Line Segment as Prototype, A
new decoding algorithm based on range block	mean	and contrast scaling, A
New Empirical Model of Weighted	mean	Temperature Combining ERA5 Reanalysis Data, Radiosonde Data, and TanDEM-X 90m Products over China, A
new facial expression recognition technique using 2-D DCT and K-	mean	s algorithm, A
new fuzzy c-	mean	s method with total variation regularization for segmentation of images with noisy and incomplete data, A
new fuzzy k-nearest neighbor classifier based on the Bonferroni	mean	, A
new hybrid algorithm for speckle noise reduction of SAR images based on	mean	-median filter and SRAD method, A
New insights into the normalization of the least	mean	fourth algorithm
New Method for Computing the Principal Point of an Optical Sensor by	mean	s of Sphere Images, A
new method for image segmentation based on Fuzzy C-	mean	s algorithm on pixonal images formed by bilateral filtering, A
New MR Brain Image Segmentation Using an Optimal Semi-supervised Fuzzy C-	mean	s and pdf Estimation, A
New MRF Parameter Estimation Technique for Texture Image Segmentation using Hierarchical GMRF Model Based on Random Spatial Interaction and	mean	Field Theory
New optimized GPU version of the k-	mean	s algorithm for large-sized image segmentation
new perceptual quality metric for compressed video based on	mean	squared error, A
New Self-organizing Map Based on Smoothly Distributed Fuzzy C-	mean	s, A
new similarity measure for non-local	mean	s filtering of MRI images, A
New Weight for Nonlocal	mean	s Denoising Using Method Noise, A
new weighted fuzzy c-	mean	s based on the collective behaviour of starling birds, A
NL-	mean	s and aggregation procedures
Noise Adaptive Image Restoration: A Minimum	mean	Square Error Approach
Noise reduction and enhancement by	mean	s of adaptive residue-image processing
Noise Removal from Remote Sensed Images by NonLocal	mean	s with OpenCL Algorithm
Noise robust intuitionistic fuzzy c-	mean	s clustering algorithm incorporating local information
NOK	mean	s: Non-Orthogonal K-means Hashing
Non Local	mean	s Image Filtering Using Clustering
Non Zero	mean	Adaptive Cosine Estimator and Application to Hyperspectral Imaging
Non-dominated Sorting Evolution Strategy-based K-	mean	s clustering algorithm for accent classification
Non-local	mean	Temporal Filter for Video Compression, A
Non-Local	mean	s De-Speckling Based on Multi-Directional Local Plane Inclination Angle
Non-local	mean	s Denoising
Non-local	mean	s denoising based on SVD basis images
Non-Local	mean	s Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances
Non-Local	mean	s for Denoising
Non-local	mean	s for Stereo Image Denoising Using Structural Similarity
Non-Local	mean	s Image Denoising With a Soft Threshold
Non-Local	mean	s Image Denoising with Local Geometric Structures Matching Strategy
Non-local pose	mean	s for denoising motion capture data
Non-rigid object localization from color model using	mean	shift
Nonlinear Mapping of Multi-View Face Patterns Into a Zero	mean	Gaussian Distribution in a Low Dimensional Space
Nonlinear	mean	Filters in Image Processing
Nonlinear	mean	Shift for Clustering over Analytic Manifolds
Nonlinear	mean	Shift for Robust Pose Estimation
Nonlinear	mean	Shift over Riemannian Manifolds
Nonlocal	mean	s and Optimal Weights for Noise Removal
nonlocal	mean	s based adaptive denoising framework for mixed image noise removal, A
Nonlocal	mean	s Regularized Sketched Reweighted Sparse and Low-Rank Subspace Clustering for Large Hyperspectral Images
Nonlocal	mean	s With Dimensionality Reduction and SURE-Based Parameter Selection
Nonlocal	mean	s-Based Speckle Filtering for Ultrasound Images
nonlocal-	mean	s approach to exemplar-based inpainting, A
Nonparametric Change Detection in Multitemporal SAR Images Based on	mean	-Shift Clustering
nonparametric classification scheme with	mean	squared error criterion, A
Nonuniform video coding by	mean	s of multifoveal geometries
Normalized Least-	mean	-Square Algorithm Based on Variable-Step-Size Recursion With Innovative Input Data, A
note on constrained k-	mean	s algorithms, A
note on the convergence of the	mean	shift, A
Novel Adaptive Fuzzy Local Information C-	mean	s Clustering Algorithm for Remotely Sensed Imagery Classification, A
novel approach for characterizing multimedia 3D video streams by	mean	s of quasiperiodic processes, A
novel brain image segmentation using intuitionistic fuzzy C	mean	s algorithm, A
Novel Chamfer Template Matching Method Using Variational	mean	Field, A
Novel general KNN classifier and general nearest	mean	classifier for visual classification
novel initialization scheme for the fuzzy c-	mean	s algorithm for color clustering, A
Novel k-	mean	s Clustering Based Task Decomposition Method for Distributed Vector-Based CA Models, A
Novel local information kernelized fuzzy C-	mean	s algorithm for image segmentation
novel method for estimating the number of speakers based on generalized eigenvalue-vector decomposition and adaptive wavelet transform by using K-	mean	s clustering, A
Novel Modeling Strategy of Weighted	mean	Temperature in China Using RNN and LSTM, A
novel Non-local	mean	s image denoising method based on grey theory, A
novel optimized neutrosophic k-	mean	s using genetic algorithm for skin lesion detection in dermoscopy images, A
Novel Speed-Up Strategies for Non-Local	mean	s Denoising With Patch and Edge Patch Based Dictionaries
Novel Splitting Criterion Inspired by Geometric	mean	Metric Learning for Decision Tree, A
Novel Type-2 Fuzzy C-	mean	s Clustering for Brain MR Image Segmentation, A
Numerical Investigation of the Dispersion Law of Materials by	mean	s of Multi-Length TDR Data, A
Numerical Simulation from Medical Images: Accurate Integration by	mean	s of the Cartesian Grid Finite Element Method
Object Categorization Based on a Supervised	mean	Shift Algorithm
Object Classification in 3-D Images Using Alpha-Trimmed	mean	Radial Basis Function Network
Object cloning using constrained	mean	value interpolation
Object Matching by	mean	s of Matching Likelihood Coefficients
Object tracking based on multi-bandwidth	mean	shift with convergence acceleration
Object Tracking by Asymmetric Kernel	mean	Shift with Automatic Scale and Orientation Selection
Object tracking by	mean	shift and radial basis function neural networks
Object tracking by the	mean	-shift of regional color distribution combined with the particle-filter algorithm
Object tracking using SIFT features and	mean	shift
Object Tracking with	mean	Shift and Model Prediction
Object tracking with occlusion handling using	mean	shift, Kalman filter and Edge Histogram
Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian	mean	Map Kernels
Objective Video Quality Assessment Based on Perceptually Weighted	mean	Squared Error
Objects Recognition by	mean	s of Projective Invariants Considering Corner-points
Obstacle detection by	mean	s of stereo feature matching
Occluded Face Recognition by	mean	s of the IFS
Occlusion Management in Sequential	mean	Field Monte Carlo Methods
On a Link Between Kernel	mean	Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit
On Approximation of Orientation Distributions by	mean	s of Spherical Ridgelets
On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-	mean	s
On Dynamic Weighting of Data in Clustering with K-Alpha	mean	s
On Improving JPEG Entropy Coding by	mean	s of Sub-Stream Extraction
On	mean	Absolute Error for Deep Neural Network Based Vector-to-Vector Regression
On	mean	Pose and Variability of 3D Deformable Models
On	mean	-Curvature Diffusion in Nonlinear Image Filtering
On	mean	s and Their Asymptotics: Circles and Shape Spaces
On object classification by	mean	s of fuzzy sets theory
On Relational Data Versions of C-	mean	s Algorithms
On Restoration of Degraded Cinematic Sequences by	mean	s of Digital Image Processing
On some convergence properties of the subspace constrained	mean	shift
On the Color Image Segmentation Algorithm Based on the Thresholding and the Fuzzy C-	mean	s Techniques
On the Convergence of	mean	Field Procedures for MRFs
On the convergence of the	mean	shift algorithm in the one-dimensional space
On the equivalence of local-mode finding, robust estimation and	mean	-shift analysis as used in early vision tasks
On the Estimation of Transmural Myocardial Shear by	mean	s of MRI Tagging
On the improvement of no-reference	mean	opinion score estimation accuracy by following a frame-level regression approach
On the Intrinsic Relationship Between the Least	mean	Square and Kalman Filters
On the	mean	Accuracy of Statistical Pattern Recognizers
On the	mean	Curvature Flow on Graphs with Applications in Image and Manifold Processing
On the relation between K-	mean	s and PLSA
On the robustness of the equal-	mean	discrimination rule with uniform covariance structure against serially correlated training data
On-line holographic reconstruction of NMR images by	mean	s of a liquid crystal spatial light modulator
One-Way Car-Sharing Profit Maximization by	mean	s of User-Based Vehicle Relocation
Operating quality control of ground machines by	mean	s of the terrestrial laserscanning system
Optic Disc Detection From Normalized Digital Fundus Images by	mean	s of a Vessels' Direction Matched Filter
Optic Disc Segmentation by	mean	s of GA-Optimized Topological Active Nets
Optical Coherence Tomography Denoising by	mean	s of a Fourier Butterworth Filter-Based Approach
Optimal Bandwidth of the Minkowski Content-Based Estimator of the	mean	Density of Random Closed Sets: Theoretical Results and Numerical Experiments
Optimal colour-based	mean	shift algorithm for tracking objects
Optimal Leak Factor Selection for the Output-Constrained Leaky Filtered-Input Least	mean	Square Algorithm
Optimal	mean	two-dimensional principal component analysis with F-norm minimization
Optimal	mean	-Absolute-Error Filtering of Gray-Scale Signals by the Morphological Hit-or-Miss Transform
Optimal	mean	-Square N-Observation Digital Morphological Filters: I. Optimal Binary Filters
Optimal	mean	-Square N-Observation Digital Morphological Filters: II. Optimal Gray-Scale Filters
Optimal Parallel Stack Filtering under the	mean	Absolute Error Criterion
Optimal Reconstruction of Information Content Inherent in Pictures bu	mean	s of Television Scanning Procedures
Optimal step size of least	mean	absolute third algorithm
Optimal Variable-Rate	mean	-Gain-Shape Vector Quantization for Image-Coding
Optimality tests for fixed points of the fuzzy c-	mean	s algorithm
Optimality tests for the fuzzy c-	mean	s algorithm
Optimized Blockwise Nonlocal	mean	s Denoising Filter for 3-D Magnetic Resonance Images, An
Optimized Data Fusion for Kernel k-	mean	s Clustering
Optimizing Energy Consumption of Vehicle Sensor Networks Based On The K-	mean	s Clustering Method and Ant Colony Algorithm
Optimizing	mean	Reciprocal Rank for person re-identification
Optimizing parameters of a motion detection system by	mean	s of a distributed genetic algorithm
Oracle Inequalities and Minimax Rates for Nonlocal	mean	s and Related Adaptive Kernel-Based Methods
Orientation and scale invariant	mean	shift using object mask-based kernel
Outlier Robust Geodesic K-	mean	s Algorithm for High Dimensional Data
Pan-Tilt IR Scanning Method for the Remote Measurement of	mean	Radiant Temperatures at Multi-Location in Buildings
Pansharpening With Multiscale Normalized Nonlocal	mean	s Filter: A Two-Step Approach
Parallel BVH construction using k-	mean	s clustering
Parallel incremental power	mean	SVM for the classification of large-scale image datasets
Parallel	mean	Shift Accuracy and Performance Trade-Offs
Parallelized Inter-Image k-	mean	s Clustering Algorithm for Unsupervised Classification of Series of Satellite Images
Parameter search for an image processing fuzzy C-	mean	s hand gesture recognition system
Parameter selection for suppressed fuzzy c-	mean	s with an application to MRI segmentation
Parameter-Free Fast Pixelwise Non-Local	mean	s Denoising
Partial volume estimation and the fuzzy C-	mean	s algorithm
Particle filter tracking with	mean	Shift and joint probability data association
path assigned	mean	shift algorithm: A new fast mean shift implementation for colour image segmentation, The
path assigned	mean	shift algorithm: A new fast mean shift implementation for colour image segmentation, The
Pattern recognition by	mean	s of disjoint principal components models
Pattern recognition by	mean	s of the Radon transform and the continuous wavelet transform
Patterning of writing style evolution by	mean	s of dynamic similarity
PCA-guided search for K-	mean	s
Pectoral Muscle Elimination on Mammogram Using K-	mean	s Clustering Approach
Pedestrian detection by	mean	s of far-infrared stereo vision
Pedestrian Detection Fusion Method Based on	mean	Shift
Pedestrian detection in thermal images using adaptive fuzzy C-	mean	s clustering and convolutional neural networks
Penalized K-	mean	s Algorithms for Finding the Number of Clusters
People Re-Identification by	mean	s of a Camera Network Using a Graph-Based Approach
Perceptual Evaluation of the	mean	Square Error Choice of Regularization Parameter
Perceptual Fidelity Aware	mean	Squared Error
perceptually adaptive approach to image denoising using anisotropic non-local	mean	s, A
Perceptually motivated automatic sharpness enhancement using hierarchy of non-local	mean	s
Performance comparison of	mean	-level CFAR detectors in homogeneous and non-homogeneous Weibull clutter for MIMO radars
Performance of Minimum	mean	-Square Error Beam Forming for Polarimetric Phased Array Weather Radar
Personality Assessment Based on Multimodal Attention Network Learning With Category-Based	mean	Square Error
Perturbation LDA: Learning the difference between the class empirical	mean	and its expectation
Perturbed and Strict	mean	Teachers for Semi-supervised Semantic Segmentation
PGA-Net: Polynomial Global Attention Network With	mean	Curvature Loss for Lane Detection
Phase front retrieval by	mean	s of an iterative shadowgraphic method
Phase Retrieval as a	mean	s of Wavefront Sensing
Pitch tracking of acoustic signals based on average squared	mean	difference function
Pixel Unmixing in Hyperspectral Data by	mean	s of Neural Networks
Poincare Frechet	mean
Point object detection using a NL-	mean	s type filter
Poisson NL	mean	s: Unsupervised non local means for Poisson noise
Poisson NL	mean	s: Unsupervised non local means for Poisson noise
Polarimetric Incoherent Target Decomposition by	mean	s of Independent Component Analysis
Polyp Localization and Segmentation in Colonoscopy Images by	mean	s of a Model of Appearance for Polyps
Possibilistic c-	mean	s Clustering Model with Cluster Size Estimation, A
Possibilistic fuzzy C-	mean	s clustering under observer-biased framework
post-compensation scheme for Nonlocal	mean	s filter based image restoration, A
posterior	mean	approach for MRF-based spatially adaptive multi-frame image super-resolution, A
Posterior-	mean	Super-Resolution With a Causal Gaussian Markov Random Field Prior
Posteriori Estimation of Correlated Jointly Gaussian	mean	Vectors, A
Postreconstruction Nonlocal	mean	s Filtering of Whole-Body PET With an Anatomical Prior
Power	mean	SVM for large scale visual classification
practical	mean	s for the optimization of structured light system calibration parameters, A
Pre-image as Karcher	mean	Using Diffusion Maps: Application to Shape and Image Denoising
Pre-Processing of Degraded Printed Documents by Non-local	mean	s and Total Variation
Precipitation Characteristics at Two Locations in the Tropical Andes by	mean	s of Vertically Pointing Micro-Rain Radar Observations
Prediction model for short-term traffic flow based on a K-	mean	s-gated recurrent unit combination
Prediction of	mean	Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia
Predictive lossless compression of regions of interest in hyperspectral image via Maximum Correntropy Criterion based Least	mean	Square learning
primal sketch of the cortex	mean	curvature: a morphogenesis based approach to study the variability of the folding patterns, A
Principal components for non-local	mean	s image denoising
Principal Neighborhood Dictionaries for Nonlocal	mean	s Image Denoising
Principled Parallel	mean	-Field Inference for Discrete Random Fields
Prior Knowledge Optimum Understanding by	mean	s of Oblique Projectors and Their First Order Derivatives
Prior-Constrained Scale-Space	mean	Shift
Probabilistic Class Histogram Equalization Based on Posterior	mean	Estimation for Robust Speech Recognition
Probabilistic image processing based on the Q-ising model by	mean	s of the mean field method and loopy belief propagation
Probabilistic image processing based on the Q-ising model by	mean	s of the mean field method and loopy belief propagation
Probabilistic Non-Local	mean	s
Probing Tissue Microarchitecture of the Baby Brain via Spherical	mean	Spectrum Imaging
Profile Detection in Medical and Astronomical Images by	mean	s of the Hough Transform of Special Classes of Curves
Projected fuzzy C-	mean	s clustering with locality preservation
Projection Design for Compressive Source Separation Using	mean	Errors and Cross-Validation
Projection-histograms for	mean	-shift tracking
Properties of	mean	Shift
Properties of Minimum	mean	Squared Error Block Quantizers
Proposal for Automatic Coastline Extraction from Landsat 8 OLI Images Combining Modified Optimum Index Factor (MOIF) and K-	mean	s, A
Protecting Face Biometric DCT Templates by	mean	s of Pseudo-random Permutations
Protecting GIS vector map using the k-	mean	s clustering algorithm and odd-even coding
Prototypes-Embedded Genetic K-	mean	s Algorithm, A
Proximal	mean	-Field for Neural Network Quantization
Pruned non-local	mean	s
PSI Deformation Map Retrieval by	mean	s of Temporal Sublook Coherence on Reduced Sets of SAR Images
pull-push method for fast non-local	mean	s filtering, A
Pyramid	mean	Representation of Image Sequences for Fast Face Retrieval in Unconstrained Video Data
Pyramid-Based Visual Tracking Using Sparsity Represented	mean	Transform
Quality Analysis of Small Maritime Target Detection by	mean	s of Passive Radar Reflectors in Different Sea States
Quality Analysis on JPEG 2000 Compressed Leukocyte Images by	mean	s of Segmentation Algorithms, A
Quantifying Basal Roughness and Internal Layer Continuity Index of Ice Sheets by an Integrated	mean	s with Radar Data and Deep Learning
Quantifying Landscape-Scale Patterns of Temperate Forests over Time by	mean	s of Neutral Simulation Models
Quantized Compressive K-	mean	s
Quantum-inspired hybrid algorithm for image classification and segmentation: Q-	mean	s++ max-cut method
quick and high quality image interpolation for single image using multi-filtering and weighted	mean	, The
Radar HRRP Target Recognition Based on the Improved Kernel Distance Fuzzy C-	mean	s Clustering Method
Radar Imaging of Urban Areas by	mean	s of Very High-Resolution SAR and Interferometric SAR
Radio Frequency Interference Mitigation in Synthetic Aperture Radar Data Based on Instantaneous Spectrum Forward Consecutive	mean	Excision
Random NL-	mean	s to Restoration of Colour Images
Random Projection Based Bias-corrected Fuzzy C-	mean	s Algorithm For Hyperspectral Remote Sensing Image Segmentation
Random-valued impulse noise removal using fuzzy weighted non-local	mean	s
Range Image Segmentation Using the Numerical Description of the	mean	Curvature Values
range of the value for the fuzzifier of the fuzzy c-	mean	s algorithm, The
Ranked k-	mean	s clustering for terahertz image segmentation
Rapid Damage Assessment by	mean	s of Multi-Temporal SAR: A Comprehensive Review and Outlook to Sentinel-1
rapid knowledge-based partial supervision fuzzy c-	mean	s for brain tissue segmentation with CUDA-enabled GPU machine, A
Rate distortion optimized quantization based on weighted	mean	squared error for lossy image coding
Rate-distortion based video coding with adaptive	mean	-removed vector quantization
Ratio of the Arithmetic to the Geometric	mean	: A First-order Statistical Test for Multilook SAR Image Homogeneity, The
Re-Weighted Discriminatively Embedded K-	mean	s for Multi-View Clustering
Real time hand tracking by combining particle filtering and	mean	shift
Real-time color image segmentation based on	mean	shift algorithm using an FPGA
Real-time extraction of surface patches with associated uncertainties by	mean	s of Kinect cameras
Real-time Facial Features Tracking by Discrete Gabor Jets and	mean	Shift
Real-time hand tracking using a	mean	shift embedded particle filter
Real-time K-	mean	s Clustering for Color Images on Reconfigurable Hardware
Real-Time Speckle Reduction in Ultrasound Images by	mean	s of Nonlinear Coherent Diffusion Using GPU
Real-time tracking algorithm based on improved	mean	Shift and Kalman filter
Real-Time Tracking of Non-Rigid Objects using	mean	Shift
Real-Time Very Low Bit Rate Video Coding with Adaptive	mean	-Removed Vector Quantization
real-time, power-efficient architecture for	mean	-shift image segmentation, A
Reasoning About	mean	Time to Failure in Vehicular Clouds
Recent Advance on	mean	Shift Tracking: A Survey
RECM: Relational evidential c-	mean	s algorithm
Recognition of Facial Expressions using Local	mean	Binary Pattern
Recognition of German Literal Amounts by	mean	s of 1-Dimensional and Pseudo 2-Dimensional HMMS
Recognition of olfactory signals based on supervised fuzzy C-	mean	s and k-NN algorithms
Recognition of phonetic labels of the TIMIT speech corpus by	mean	s of an artificial neural network
Recognition System for Home-Service-Related Sign Language Using Entropy-Based K -	mean	s Algorithm and ABC-Based HMM
Recommendation Approach in Social Learning Based on K-	mean	s Clustering, A
Reconstruction from Image Sequences by	mean	s of Relative Depths
Reconstruction of Signals and Images from the Noisy Fourier Transform Phase by	mean	s of the Generalized Difference Principle, The
Recovering a Function from Circular	mean	s or Wave Data on the Boundary of Parabolic Domains
Recovering thin structures via nonlocal-	mean	s regularization with application to depth from defocus
Recovery of missing information in graph sequences by	mean	s of reference pattern matching and decision tree learning
Rectified Euler k-	mean	s and beyond
Recursive Frichet	mean	Computation on the Grassmannian and Its Applications to Computer Vision
Reduced complexity diffusion filtered x least	mean	square algorithm for distributed active noise cancellation
Refining Correctness of Vehicle Detection and Tracking in Aerial Image Sequences by	mean	s of Velocity and Trajectory Evaluation
Region segmentation using K-	mean	clustering and genetic algorithms
Region-based	mean	shift tracking: Application to face tracking
Region-Specific and Weather-Dependent Characteristics of the Relation between GNSS-Weighted	mean	Temperature and Surface Temperature over China
Regional Model for Predicting Tropospheric Delay and Weighted	mean	Temperature in China Based on GRAPES_MESO Forecasting Products, A
Registration of Moving Surfaces by	mean	s of One-Shot Laser Projection
Regularization of Optic Flow Estimates by	mean	s of Weighted Vector Median Filtering
Regularized fuzzy c-	mean	s method for brain tissue clustering
Regularized Kernel Least	mean	Square Algorithm with Multiple-delay Feedback
regularized least	mean	mixed norm multichannel image restoration algorithm, A
Rek-	mean	s: A k-Means Based Clustering Algorithm
Rek-	mean	s: A k-Means Based Clustering Algorithm
Relational duals of the C-	mean	s clustering algorithms
Relational Matching With	mean	Field Annealing
Remote 3D face reconstruction by	mean	s of autonomous unmanned aerial vehicles
Remote Sensing and GIS Applied to the Landscape for the Environmental Restoration of Urbanizations by	mean	s of 3D Virtual Reconstruction and Visualization (Salamanca, Spain)
Removing Gaussian noise for colour images by quaternion representation and optimisation of weights in non-local	mean	s filter
Representation of enclosing surfaces from simple voxelized objects by	mean	s of a chain code
Representing Multimodal Behaviors With	mean	Location for Pedestrian Trajectory Prediction
Retinal blood vessel localization approach based on bee colony swarm optimization, fuzzy c-	mean	s and pattern search
Retracted Paper: A robust kernelized intuitionistic fuzzy c-	mean	s clustering algorithm in segmentation of noisy medical images
Retrieval of Daily	mean	Top-of-Atmosphere Reflected Solar Flux Using the Advanced Very High Resolution Radiometer (AVHRR) Instruments
Retrieval of Daily	mean	VIIRS SST Products in China Seas
Retrieval of Firn Thickness by	mean	s of Polarisation Phase Differences in L-Band SAR Data
Retrieval of Significant Wave Height and	mean	Sea Surface Level Using the GNSS-R Interference Pattern Technique: Results From a Three-Month Field Campaign
Reversible Data Hiding in Encrypted Images Based on Absolute	mean	Difference of Multiple Neighboring Pixels
review of	mean	-shift algorithms for clustering, A
review on egomotion by	mean	s of differential epipolar geometry applied to the movement of a mobile robot, A
Revisiting the Estimation of the	mean	Using Order-Statistics
Rice Phenology Monitoring by	mean	s of SAR Polarimetry at X-Band
Rician nonlocal	mean	s denoising for MR images using nonparametric principal component analysis
Riemannian	mean	Curvature Flow
RK-	mean	s Clustering: K-Means with Reliability
RK-	mean	s Clustering: K-Means with Reliability
Road extraction using K-	mean	s clustering and morphological operations
Road Network Extraction in VHR SAR Images of Urban and Suburban Areas by	mean	s of Class-Aided Feature-Level Fusion
Robust Adaptive Filtering With q-Gaussian Kernel	mean	p-Power Error
Robust brain MRI denoising and segmentation using enhanced non-local	mean	s algorithm
Robust deep k-	mean	s: An effective and simple method for data clustering
Robust Edge Detection Approach in the Presence of High Impulse Noise Intensity Through Switching Adaptive Median and Fixed Weighted	mean	Filtering, A
Robust Estimation Approach for NL-	mean	s Filter
Robust Fuzzy Algorithm Based on Student's t-Distribution and	mean	Template for Image Segmentation Application, A
Robust fuzzy c-	mean	s clustering algorithm using non-parametric Bayesian estimation in wavelet transform domain for noisy MR brain image segmentation
Robust Fuzzy Local Information C-	mean	s Clustering Algorithm, A
Robust human tracking based on multi-cue integration and	mean	-shift
Robust Intuitionistic Fuzzy C-	mean	s clustering for linearly and nonlinearly separable data
Robust level set image segmentation via a local correntropy-based K-	mean	s clustering
Robust	mean	Teacher for Continual and Gradual Test-Time Adaptation
Robust	mean	-shift tracking with corrected background-weighted histogram
Robust Polarimetric SAR Despeckling Based on Nonlocal	mean	s and Distributed Lee Filter
Robust Rule-Based Ensemble Framework Using	mean	-Shift Segmentation for Hyperspectral Image Classification, A
Robust Scale-Adaptive	mean	-Shift for Tracking
robust solution for object recognition by	mean	field annealing techniques, A
Robust spatially constrained fuzzy c-	mean	s algorithm for brain MR image segmentation
Robust Stamps Detection and Classification by	mean	s of General Shape Analysis
Robust Time-of-Arrival-Based Splitting	mean	Moving Object Localization
Robust Tracking by	mean	s of Template Adaptation with Drift Correction
Robust Trimmed K-	mean	s
Robust Visual Object Tracking Using Multi-Mode Anisotropic	mean	Shift and Particle Filters
Robust Visual Tracking by Integrating Lucas-Kanade into	mean	-Shift
Robust w-Estimators for Cryo-EM Class	mean	s
Robust-learning fuzzy c-	mean	s clustering algorithm with unknown number of clusters
Role of	mean	Sea Level Annual Cycle on Extreme Water Levels Along European Coastline, The
Root	mean	Square filter for noisy images based on hyper graph model
Rotationally-invariant non-local	mean	s for image denoising and tomography
Rough intuitionistic type-2 fuzzy c-	mean	s clustering algorithm for MR image segmentation
Rough Sets for Bias Field Correction in MR Images Using Contraharmonic	mean	and Quantitative Index
Routing Scheme Using an Adaptive K-Harmonic	mean	s Clustering for VANETs, A
Safety Monitoring By	mean	s of Sensor Networks Distributed Within The Fossa Site Plan
Salient Object Detection with Pretrained Deeplab and k-	mean	s: Application to Uav-captured Building Imagery
SAR image despeckling using undecimated directional filter banks and	mean	shift
SAR Image Segmentation by Efficient Fuzzy C-	mean	s Framework with Adaptive Generalized Likelihood Ratio Nonlocal Spatial Information Embedded
Satellite Image Classification Using a Divergence-Based Fuzzy c-	mean	s Algorithm
Scale Adaptive	mean	Shift Tracking Based on Feature Point Matching
Scale Adaptive Tracking Using	mean	Shift and Efficient Feature Matching
Scale and orientation adaptive	mean	shift tracking
Scale parameter selection by spatial statistics for GeOBIA: Using	mean	-shift based multi-scale segmentation as an example
Scale-Invariant Object Categorization Using a Scale-Adaptive	mean	-Shift Search
Scattering-Based Nonlocal	mean	s SAR Despeckling
Scribe Attribution for Early Medieval Handwriting by	mean	s of Letter Extraction and Classification and a Voting Procedure for Larger Pieces
Seamless video composition using optimized	mean	-value cloning
Secrets of GrabCut and Kernel K-	mean	s
Segmentation by Fusion of Histogram-Based K-	mean	s Clusters in Different Color Spaces
Segmentation of a Thematic Mapper Image Using the Fuzzy C-	mean	s Clustering Algorithms
Segmentation of color images of plants with a Markovian	mean	Shift
Segmentation of green vegetation of crop canopy images based on	mean	shift and Fisher linear discriminant
Segmentation of images with separating layers by fuzzy c-	mean	s and convex optimization
Segmentation of Liver in Low-Contrast Images Using K-	mean	s Clustering and Geodesic Active Contour Algorithms
Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-	mean	s with non-locally spatio-temporal regularization
Segmentation of magnetic resonance images using	mean	field annealing
Segmentation of multi-modality MR images by	mean	s of evidence theory for 3d reconstruction of brain tumors
Segmentation of osteosarcoma in MRI images by K-	mean	s clustering, Chan-Vese segmentation, and iterative Gaussian filtering
Segmentation of Point Clouds with K-	mean	s and ANN (Artifical Neural Network), The
Segmentation of tissues in MR images using Modified Spatial Fuzzy C	mean	s algorithm
Segmentation of tumor using PCA based modified fuzzy C	mean	s algorithms on MR brain images
Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary	mean	s for Nitrogen Stress Detection
Seismic Impact of Large Earthquakes on Estimating Global	mean	Ocean Mass Change from GRACE
Selection of Local Optical Flow Models by	mean	s of Residual Analysis
Selective	mean	Filtering for Reducing Impulse Noise in Digital Color Images
self-adaptive	mean	shift tree-segmentation method Using UAV LiDAR data, A
Self-paced Learning for K-	mean	s Clustering Algorithm
Self-Weighted Euler k-	mean	s Clustering
Semantic Partition Algorithm Based on Improved K-	mean	s Clustering for Large-Scale Indoor Areas, A
Semi-intrinsic	mean	Shift on Riemannian Manifolds
Semi-Supervised Kernel	mean	Shift Clustering
Semi-Supervised Person Detection in Aerial Images with Instance Segmentation and Maximum	mean	Discrepancy Distance
semi-supervised sparse K-	mean	s algorithm, A
Semianalytical Model of the Synthetic Aperture, Interferometric Radar Altimeter	mean	Echo, and Echo Cross-Product and Its Statistical Fluctuations, A
Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior	mean	and Covariance, with Application to OCO-2 Retrievals
Separable bilateral nonlocal	mean	s
Separation of Bones From Chest Radiographs by	mean	s of Anatomically Specific Multiple Massive-Training ANNs Combined With Total Variation Minimization Smoothing
Sequential	mean	field variational analysis of structured deformable shapes
Serialized k-	mean	s for Adaptative Color Image Segmentation
Set-Valued	mean	s of Random Particles
Shadowed c-	mean	s: Integrating fuzzy and rough clustering
Shallow decision trees for explainable k-	mean	s clustering
Shape-Based Image Retrieval Using k-	mean	s Clustering and Neural Networks
Shrinkage Linear Minimum	mean	Square Error Estimator, A
Similar image searching from image database using cluster	mean	sorting and performance estimation
Similarity Validation Based Nonlocal	mean	s Image Denoising
Simple Approximation for Minimum	mean	-Square Error Symmetric Uniform Quantization, A
Simple Oriented	mean	-Shift Algorithm for Tracking, A
SimpleMKKM: Simple Multiple Kernel K-	mean	s
Simplified Gaussian and	mean	Curvatures to Range Image Segmentation
Simulation and Prediction of Urban Land Use Change Considering Multiple Classes and Transitions by	mean	s of Random Change Allocation Algorithms
Simultaneous Optic Flow Estimation and Segmentation by	mean	s of LS Techniques
Single image dehazing using second-generation wavelet transforms and the	mean	vector L2-norm
Single Image Super-Resolution Algorithm Using Non-Local-	mean	Self-Similarity and Noise-Robust Saliency Map, A
Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal	mean	s
Single Image Super-Resolution With Non-Local	mean	s and Steering Kernel Regression
Single point iterative weighted fuzzy C-	mean	s clustering algorithm for remote sensing image segmentation
Single-image deraining using an adaptive nonlocal	mean	s filter
Single-image super-resolution using iterative Wiener filter based on nonlocal	mean	s
single-shot structured light	mean	s by encoding both color and geometrical features, A
size-insensitive integrity-based fuzzy c-	mean	s method for data clustering, A
Small vessel enhancement in MRA images using local maximum	mean	processing
Smart displays: A	mean	s of information domination
Smooth Curve Extraction by	mean	-Field Annealing
Smoothly distributed fuzzy C-	mean	s: a new self-organizing map
Social Media Data Processing and Analysis By	mean	s of Machine Learning For Rapid Detection, Assessment and Mapping the Impact of Disasters
Solomonoff coding as a	mean	s of introducing prior information in syntactic pattern recognition
Some refinements of rough k-	mean	s clustering
Sonar Image Segmentation by Fuzzy C-	mean	s
Sparse kernel k-	mean	s for high-dimensional data
Sparse least	mean	p-power algorithms for channel estimation in the presence of impulsive noise
sparse nearest	mean	classifier for high dimensional multi-class problems, A
Sparse possibilistic c-	mean	s clustering with Lasso
Sparse Recovery by	mean	s of Nonnegative Least Squares
Spatial a: Trimmed Fuzzy C-	mean	s Algorithm to Image Segmentation
Spatial Colour Gamut Mapping by	mean	s of Anisotropic Diffusion
Spatial Data Description by	mean	s of Knowledge-Based System
Spatial Domain Object Separability Based No-Reference Image Quality Measure Using	mean	and Variance, A
spatial fuzzy C-	mean	s algorithm with application to MRI image segmentation, A
Spatial kernel K-harmonic	mean	s clustering for multi-spectral image segmentation
Spatial Sampling and Grouping Information Entropy Strategy Based on Kernel Fuzzy C-	mean	s Clustering Method for Hyperspectral Band Selection
Spatial Shape Constrained Fuzzy C-	mean	s (FCM) Clustering for Nucleus Segmentation in Pap Smear Images
spatial-color	mean	-shift object tracking algorithm with scale and orientation estimation, A
Spatially Weighted Fuzzy C-	mean	s Clustering Algorithm for Image Thresholding
Spatio-Temporal Assessment of Olive Orchard Intensification in the Saiss Plain (Morocco) Using k-	mean	s and High-Resolution Satellite Data
Spatio-temporal	mean	curvature based image sequence restoration
Spatio-temporal multimodal	mean
Spatio-temporal Segmentation of Video by Hierarchical	mean	Shift Analysis
Spatio-Temporal Super-Resolution Land Cover Mapping Based on Fuzzy C-	mean	s Clustering
Speaker identification security improvement by	mean	s of speech watermarking
Speaker-independent Speech Recognition by	mean	s of Functional-link Neural Networks
Speckle reduction in polarimetric SAR imagery with stochastic distances and nonlocal	mean	s
Speckle reduction of ultrasound medical images using Bhattacharyya distance in modified non-local	mean	filter
Spectral Clustering of CRISM Datasets in Jezero Crater Using UMAP and k-	mean	s
Spectral compression of hyperspectral images by	mean	s of nonlinear principal component analysis decorrelation
Speeding-Up the K-	mean	s Clustering Method: A Prototype Based Approach
Speeding-up the kernel k-	mean	s clustering method: A prototype based hybrid approach
Spinal Canal and Spinal Marrow Segmentation by	mean	s of the Hough Transform of Special Classes of Curves
SSIM-based non-local	mean	s image denoising
Stable	mean	-Shift Algorithm and Its Application to the Segmentation of Arbitrarily Large Remote Sensing Images
Static And Dynamic Behaviour Assessment of the Trajan Arch By	mean	s Of New Monitoring Technologies
Statistical Anomaly Detection in	mean	and Variation of Energy Consumption
Statistical Edge Detection in CT Image by Kernel Density Estimation and	mean	Square Error Distance
Statistical interpretation of non-local	mean	s
Statistical Model for the Realiability of Motion Tracking Using	mean	Normalised Correlation, A
Statistical Properties of	mean	Stand Biomass Estimators in a Lidar-Based Double Sampling Forest Survey Design
Statistical Threshold Design for the Two-state Signal-dependent Rank Order	mean	Filter
Steady-State	mean	-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion
Steady-State Performance of Non-Negative Least-	mean	-Square Algorithm and Its Variants
Stereo integration,	mean	field theory and psychophysics
Stereo Matching in	mean	Shift Attractor Space
Stereo Matching Using Iterated Graph Cuts and	mean	Shift Filtering
Stereo Vision Using a Microcanonical	mean	-Field Annealing Neural-Network
Stochastic analysis of the least	mean	fourth algorithm for non-stationary white Gaussian inputs
Stochastic K-	mean	s algorithm for vector quantization
Stopping Criterion for the	mean	Shift Iterative Algorithm
Structural Texture Approach for Characterising Malignancy Associated Changes in Pap Smears Based on	mean	-Shift and the Watershed Transform, A
Structure-preserving speckle reduction of SAR images using nonlocal	mean	s filters
Structured sparse K-	mean	s clustering via Laplacian smoothing
Study of efficiency k-	mean	s clustering using Z-test proprieties
Study of NSSDA Variability by	mean	s of Automatic Positional Accuracy Assessment Methods
Study of the Allan Variance for Constant-	mean	Nonstationary Processes, A
Study of the Effect of Different Atmospheric Conditions on the Temporal Evolution of the Mixing Layer over Madrid during the Year 2020 by	mean	s of Two Different Methods: Ceilometer Signals and the ECMWF-IFS Meteorological Model
Studying endocytosis in space and time by	mean	s of temporal Boolean models
Sub-region non-local	mean	denoising algorithm of synthetic aperture radar images based on statistical characteristics
Sub-Riemannian	mean	Curvature Flow for Image Processing
Subband effect of the wavelet fuzzy C-	mean	s features in texture classification
Subspace Constrained	mean	-Shift
Subspace Information Criterion for Image Restoration:	mean	Squared Error Estimatior for Linear Filters
Substitution of Vocal Folds for Voice Generation by	mean	s of Intra-Oral Pulse Generator
Sufficient conditions of optimality for	mean	-field stochastic control problems
Super-resolution image analysis as a	mean	s of monitoring bracken (Pteridium aquilinum) distributions
Superpixel Segmentation of Polarimetric Synthetic Aperture Radar (SAR) Images Based on Generalized	mean	Shift
Superpixel Spatial Intuitionistic Fuzzy C-	mean	s Clustering Algorithm for Unsupervised Classification of High Spatial Resolution Remote Sensing Images, A
Superpixel-Driven Optimized Wishart Network for Fast PolSAR Image Classification Using Global k-	mean	s Algorithm
Supervised Constrained Optimization of Bayesian Nonlocal	mean	s Filter With Sigma Preselection for Despeckling SAR Images
Supervised Contrastive Replay: Revisiting the Nearest Class	mean	Classifier in Online Class-Incremental Continual Learning
Supervised Pixel Relaxation Labeling as a	mean	s for Utilizing Ancillary Information in the Classification of Remote Sensing Image Data
Suppressed fuzzy c-	mean	s clustering algorithm
surface-based approach to 3-D object recognition using a	mean	field annealing neural network, A
Syntactic recognition of distorted patterns by	mean	s of random graph parsing
Synthetic-Aperture-Radar Motion Compensation and Feature Extraction by	mean	s of a Relaxation Based Algorithm
Tackling the coplanarity problem in 3D camera calibration by	mean	s of fuzzy landmarks: A performance study in forensic craniofacial superimposition
Tailored Approach for the Global Gas Flaring Investigation by	mean	s of Daytime Satellite Imagery, A
Target tracking using	mean	-shift and affine structure
Target-Tracking in FLIR Imagery Using	mean	-Shift and Global Motion Compensation
Template Estimation in Computational Anatomy: Frechet	mean	s Top and Quotient Spaces Are Not Consistent
Temporal analysis of a landslide by	mean	s of a ground-based SAR Interferometer
Temporal	mean	s and Variability of Arctic Sea Ice Melt and Freeze Season Climate Indicators Using a Satellite Climate Data Record
Temporal multi-modal	mean
Temporally Consistent Tone Mapping of Images and Video Using Optimal K-	mean	s Clustering
Terahertz image segmentation based on K-harmonic-	mean	s clustering and statistical feature extraction modeling
Terrain modeling from Lidar data: Hierarchical K-	mean	s filtering and Markovian regularization
Texture Analysis of	mean	Shift Segmented Low-Resolution Speckle-Corrupted Fractional SAR Imagery through Neural Network Classification
Texture based color segmentation for infrared river ice images using K-	mean	s clustering
Texture Classification by	mean	s of HMM Modeling of AM-FM Features
Texture Enhancement Method for Oceanic Internal Wave Synthetic Aperture Radar Images Based on Non-Local	mean	Filtering and Texture Layer Enhancement, A
Texture Measuring by	mean	s of Perceptually-Based Fineness Functions
Texture Overlay onto Flexible Object with PCA of Silhouettes and K-	mean	s Method for Search into Database
Texture Preserving Image Restoration with Dyadic Bounded	mean	Oscillating Constraints
Texture-based approach for text detection in images using support vector machines and continuously adaptive	mean	shift algorithm
Theoretical Assessments of	mean	Square Errors of Antialiasing Filters
Thickness Correction of Mammographic Images by	mean	s of a Global Parameter Model of the Compressed Breast
Thin structure filtering framework with non-local	mean	s, Gaussian derivatives and spatially-variant mathematical morphology
Thorough Analysis of the Suppressed Fuzzy C-	mean	s Algorithm, A
Three-dimensional electromagnetic imaging of dielectric targets by	mean	s of the multiscaling inexact-Newton method
thresholded fuzzy c-	mean	s algorithm for semi-fuzzy clustering, A
Time-Sampling Errors of Earth Radiation From Satellites: Theory for Monthly	mean	Albedo
Topological Approach to Hierarchical Segmentation using	mean	Shift, A
Total Variation and	mean	Curvature PDEs on the Space of Positions and Orientations
Towards a	mean	body for apparel design
Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-	mean	s and Skin-Folds Removal
Towards Approximating the	mean	Time to Failure in Vehicular Clouds
Towards Morphological Image Regularization Using the Counter-Harmonic	mean
Towards the Concurrent Execution of Multiple Hyperspectral Imaging Applications by	mean	s of Computationally Simple Operations
Towards weakly supervised semantic segmentation by	mean	s of multiple instance and multitask learning
Trabasa: Traditional Architecture Recorded by	mean	s of Building Archaeology in Saudi Arabia: Workshop in Jeddah
Track Cyclist Detection and Identification using Mask R-CNN and K-	mean	s Clustering
Tracking by	mean	s of geodesic region models applied to multidimensional and complex medical images
Tracking Maneuvering Targets with Multiple Sensors: Does More Data Always	mean	Better Estimates?
Tracking	mean	shift clustered point clouds for 3D surveillance
Tracking of Migrating Cells Under Phase-Contrast Video Microscopy With Combined	mean	-Shift Processes
Tracking sound sources by	mean	s of HMM
Trajectory Regression Clustering Technique Combining a Novel Fuzzy C-	mean	s Clustering Algorithm with the Least Squares Method, A
Transforming Complex Problems Into K-	mean	s Solutions
Transitive Distance Clustering with K-	mean	s Duality
Tree-Structured MRF Based Image Segmentation Combined with Advanced	mean	s Shift Mode Detection
Trimmed geometric	mean	order statistic CFAR detector for Pareto distributed clutter
Tropical	mean	Fluxes: A Tool for Calibration and Validation of CERES Radiometers
Twin relaxed least squares regression with classwise	mean	constraint for image classification
Two channels fuzzy c-	mean	s detection of multiple sclerosis lesions in multispectral MR images
Two-level k-	mean	s clustering algorithm for k-tau relationship establishment and linear-time classification
Two-stage quality adaptive fingerprint image enhancement using Fuzzy C-	mean	s clustering based fingerprint quality analysis
Two-Step Multitemporal Nonlocal	mean	s for Synthetic Aperture Radar Images
Two-View Motion Segmentation by Gaussian Blurring	mean	Shift with Fitness Measure
Ubiquitous iris recognition by	mean	s of mobile devices
Unbiased	mean	Teacher for Cross-domain Object Detection
Underlying Topography Inversion Using TomoSAR Based on Non-Local	mean	s for an L-Band Airborne Dataset
Unified Framework for Discrete Multi-kernel k-	mean	s with Kernel Diversity Regularization, A
Uniform and Non-uniform Sampling Methods for Sub-linear Time k-	mean	s Clustering
Unique Role of the Jason Geodetic Missions for high Resolution Gravity Field and	mean	Sea Surface Modelling, The
Uniqueness characteristics of the 2-D IIR	mean	squared error minimization
Universal Denoising Framework With a New Impulse Detector and Nonlocal	mean	s, A
Unsupervised Brain Segmentation System Using K-	mean	s and Neural Network
Unsupervised change detection in satellite images using fuzzy c-	mean	s clustering and principal component analysis
Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C-	mean	s clustering algorithm
Unsupervised color-texture segmentation based on soft criterion with adaptive	mean	-shift clustering
Unsupervised Cryo-EM Images Denoising and Clustering Based on Deep Convolutional Autoencoder and K-	mean	s++
Unsupervised Deep K-	mean	s Hashing for Efficient Image Retrieval and Clustering
Unsupervised motion classification by	mean	s of efficient feature selection and tracking
Unsupervised Segmentation of Color Images Based on k-	mean	s Clustering in the Chromaticity Plane
Unsupervised spatio-temporal filtering of image sequences. A	mean	-shift specification
Unsupervised texture segmentation with one-step	mean	shift and boundary Markov random fields
Unsupervised Visual Changepoint Detection Using Maximum	mean	Discrepancy
Unsupervised Visual Representation Learning by Online Constrained K-	mean	s
Urban Expansion Monitoring Using Satellite Images by	mean	s of Decision Level Fusion of Fuzzy Change Detectors
Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by	mean	s of Landsat 8 Imagery
Urban-Target Recognition by	mean	s of Repeated Spaceborne SAR Images
User-Defined Expected Error Rate in OCR Postprocessing by	mean	s of Automatic Threshold Estimation
Using building and bridge information for adapting roads to ALS data by	mean	s of network snakes
Using	mean	Field Annealing to Solve Anisotropic Diffusion Problems
Using spatial overlap ratio of independent classifiers for likelihood map fusion in	mean	-shift tracking
Utilization of Information Measure as a	mean	s of Image Thresholding
Vague C-	mean	s clustering algorithm
Vanishing point detection in corridors: using hough transform and K-	mean	s clustering
Variable Bandwidth	mean	Shift and Data-Driven Scale Selection, The
Variable bit rate video traffic prediction based on kernel least	mean	square method
variational image segmentation method exploring both intensity	mean	s and texture patterns, A
Variational Maximum A Posteriori by Annealed	mean	Field Analysis
Variational Robust Subspace Clustering with	mean	Update Algorithm
Vector quantization in DCT domain using fuzzy possibilistic c-	mean	s based on penalized and compensated constraints
Vehicle Detection by	mean	s of Stereo Vision-Based Obstacles Features Extraction and Monocular Pattern Analysis
Vehicle Identification by	mean	s of Radio-Frequency-Identification Cards and Magnetic Loops
Verification of Recognition and Alignment Hypotheses by	mean	s of Edge Verification Statistics
Vertical Air Motions and Raindrop Size Distributions Estimated Using	mean	Doppler Velocity Difference From 3- and 35-GHz Vertically Pointing Radars
Vessel Detection by	mean	Shift-Based Ray Propagation
Video Compression by	mean	-Corrected Motion Compensation of Partial Quadtrees
Video data mining based on K-	mean	s algorithm for surveillance video
Video denoising based on transform domain minimum	mean	square error
Video rate control using conditional	mean
Video Super Resolution Using Non-Local	mean	s with Adaptive Decaying Factor and Searching Window
Violence Recognition Using Harmonic	mean	of Distances and Relational Velocity with K-Nearest Neighbour Classifier
Virtual Museums As a	mean	s for Promotion and Enhancement of Cultural Heritage
Virtual View Synthesis by Non-Local	mean	s Filtering using temporal data
Visual Saliency Map Based on Random Sub-window	mean	s, A
Visual Tracking by	mean	s of Deep Reinforcement Learning and an Expert Demonstrator
Von Mises-Fisher	mean	Shift for Clustering on a Hypersphere
Wasserstein k-	mean	s with sparse simplex projection
Water Vapour Weighted	mean	Temperature Model for GPS-derived Integrated Water Vapour in Peninsular Malaysia
Wavelet based nonlocal-	mean	s super-resolution for video sequences
Wavelet Frame-Based Fuzzy C-	mean	s Clustering for Segmenting Images on Graphs
Weighted and Class-Specific Maximum	mean	Discrepancy for Unsupervised Domain Adaptation
Weighted bilateral K-	mean	s algorithm for fast co-clustering and fast spectral clustering
Weighted Generalized	mean	Pooling for Deep Image Retrieval
Weighted Joint Collaborative Representation Based On Median-	mean	Line and Angular Separation
Weighted	mean	Absolute Error Metric for Image Quality Assessment, A
Weighted	mean	Assignment of a Pair of Correspondences Using Optimisation Functions
Weighted	mean	Temperature Hybrid Models in China Based on Artificial Neural Network Methods
Weighted	mean	Temperature Model with Nonlinear Elevation Correction Using China as an Example, A
Weighted	mean	Temperature Modelling Using Regional Radiosonde Observations for the Yangtze River Delta Region in China
Weighted Nearest	mean	Classifier for Sparse Subspaces, A
Weighted quasi-arithmetic	mean	based score level fusion for multi-biometric systems
What Does It	mean	to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?
What does MPEG-4	mean	to me
What does MPEG-4	mean	to me
What does MPEG-4	mean	to me
What MPEG-4	mean	s to me
What MPEG-4	mean	s to me
When will Google's self-driving car really be ready? It depends on where you live and what you	mean	by ready
White Matter Supervoxel Segmentation by Axial DP-	mean	s Clustering
Wide-Range Feature Point Tracking with Corresponding Point Search and Accurate Feature Point Tracking with	mean	-Shift
Windows Detection Using K-	mean	s in CIE-Lab Color Space
Wrapped Feature Selection by	mean	s of Guided Neural Network Optimisation
X-Ray Image Enhancement by Least-	mean	-Square Estimation
X-Ray Image Subtraction by Digital	mean	s
Ziv-Zakai Bound for Compressive Time Delay Estimation From Zero-	mean	Gaussian Signal
ZREC: Robust Recovery of	mean	and Percentile Opinion Scores

1886 for mean