Index for sampl

_	sample	_
2DCCA: A Novel Method for Small	sample	Size Face Recognition
360-Degree Image Super-Resolution Based on Single Image	sample	and Progressive Residual Generative Adversarial Network
3D classifier trained without field	sample	s, A
3D model retrieval by	sample	based alignment
3D Object Pose Estimation with Dense	sample	Images Discussions about Limitation of Parameter Estimation Ability by the Linear Regressions
3D Octave and 2D Vanilla Mixed Convolutional Neural Network for Hyperspectral Image Classification with Limited	sample	s
AC-WGAN-GP: Generating Labeled	sample	s for Improving Hyperspectral Image Classification with Small-Samples
AC-WGAN-GP: Generating Labeled	sample	s for Improving Hyperspectral Image Classification with Small-Samples
Accuracy Assessment of GlobeLand30 2010 Land Cover over China Based on Geographically and Categorically Stratified Validation	sample	Data
Accurate and Diverse Sampling of Sequences Based on a Best of Many	sample	Objective
Accurate and robust visual tracking using bounding box refinement and online	sample	filtering
Acquiring qualified	sample	s for RANSAC using geometrical constraints
Active Collection of Land Cover	sample	Data from Geo-Tagged Web Texts
Active privileged learning of human activities from weakly labeled	sample	s
Active	sample	selection and correction propagation on a gradually-augmented graph
Adaptive cascade threshold learning from negative	sample	s for deformable part models
Adaptive Convolution Local and Global Learning for Class-Level Joint Representation of Face Recognition with Single	sample	Per Person
Adaptive Detection in Partially Homogeneous Environment with Limited	sample	s Based on Geometric Barycenters
Adaptive Detection Using Whitened Data When Some of the Training	sample	s Undergo Covariance Mismatch
Adaptive discriminant analysis for face recognition from single	sample	per person
Adaptive generic learning for face recognition from a single	sample	per person
Adaptive	sample	Assignment Network for Tiny Object Detection, An
Adaptive	sample	Assignment Strategy Based on Feature Enhancement for Ship Detection in SAR Images, An
Adaptive	sample	Consensus for Efficient Random Optimization
adaptive	sample	count particle filter, An
Adaptive	sample	Selection for Robust Learning under Label Noise
Adaptive	sample	-Level Graph Combination for Partial Multiview Clustering
Adaptive segmentation-based filtering of reference	sample	s for intra prediction
Adaptive Semi-Supervised Mixup with Implicit Label Learning and	sample	Ratio Balancing
Adaptively weighted orthogonal gradient binary pattern for single	sample	face recognition under varying illumination
Adding Unlabeled	sample	s to Categories by Learned Attributes
Adjusting	sample	s for obtaining better L2-norm minimization based sparse representation
Advances in Hyperspectral Image Classification Methods with Small	sample	s: A Review
Adversarial	sample	Attack and Defense Method for Encrypted Traffic Data
Adversarially Occluded	sample	s for Person Re-identification
Affective Gait Recognition and Baseline Evaluation from Real World	sample	s
Affine Stable Characteristic based	sample	expansion for object detection
algorithm of spectral reflectance function reconstruction without	sample	training can integrate prior information, An
Algorithms for the	sample	Mean of Graphs
Analyses of Impact of Needle Surface Properties on Estimation of Needle Absorption Spectrum: Case Study with Coniferous Needle and Shoot	sample	s
Analysing the Safe, Average and Border	sample	s on Two-Class Imbalance Problems in the Back-Propagation Domain
Analysis and Further Improvement of Fine Resolution Frequency Estimation Method From Three DFT	sample	s
Analysis of Error in Reconstruction of Two-Dimensional Signals from Irregularly Spaced	sample	s
analysis of the effects of	sample	size on classification performance of a histogram based cluster analysis procedure, An
Analytic Gabor Feedforward Network for Single-	sample	and Pose-Invariant Face Recognition, An
Analytical and Experimental Study of the Performance of Markov Random-Fields Applied to Textured Images Using Small	sample	s, An
Anisotropic Interpolation of Sparse Generalized Image	sample	s
Annual Wetland Mapping in Metropolis by Temporal	sample	Migration and Random Forest Classification with Time Series Landsat Data and Google Earth Engine
Application of Nonlinear Convolutional Neural Network in Small	sample	s Bearing Fault Classification
Approach Based on Transformer and Deformable Convolution for Realistic Handwriting	sample	s Generation, An
Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based	sample	selection
Artifacts of Markov blanket filtering based on discretized features in small	sample	size applications
Assessing the Predictive Power of Democratic Republic of Congo's National Spaceborne Biomass Map over Independent Test	sample	s
assessment of image classifiers for generating machine-learning training	sample	s for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery, An
Assessment of Negative	sample	s and Model Structures in Landslide Susceptibility Characterization Based on Bayesian Network Models, An
Asymptotic predictions of the finite-	sample	risk of the k-nearest-neighbor classifier
Attaining Class-Level Forgetting in Pretrained Model Using Few	sample	s
Attention-Based Residual Network with Scattering Transform Features for Hyperspectral Unmixing with Limited Training	sample	s
Augmenting Training	sample	s with a Large Number of Rough Segmentation Datasets
Auto-weighted	sample	-level fusion with anchors for incomplete multi-view clustering
Autoencoder Neural Network-Based STAP Algorithm for Airborne Radar with Inadequate Training	sample	s
Automated Adequacy Assessment of Cervical Cytology	sample	s Using Deep Learning
Automated detection of objects in a biological	sample
Automated Python Language-Based Tool for Creating Absence	sample	s in Groundwater Potential Mapping, An
Automated training	sample	definition for seasonal burned area mapping
Automated Training	sample	Extraction for Global Land Cover Mapping
Automatic Evaluation of Segregation Streaks in Material	sample	s
Automatic Handwriting Identification Based on the External Properties of the	sample	s
Automatic Labelling and Selection of Training	sample	s for High-Resolution Remote Sensing Image Classification over Urban Areas
Automatic Measurement of Inhibition Zones in Petri Dish	sample	s
Automatic satellite image registration by combination of matching and random	sample	consensus
Automatic Segmentation of Vertebrae from Radiographs: A	sample	-Driven Active Shape Model Approach
Automatic Selection of Training	sample	s for Multitemporal Image Classification
Automatic Training	sample	Selection for a Multi-Evidence Based Crop Classification Approach
AutoMix: Mixup Networks for	sample	Interpolation via Cooperative Barycenter Learning
Balanced One-Stage Object Detection by Enhancing the Effect of Positive	sample	s
Balanced	sample	Assignment and Objective for Single-Model Multi-Class 3D Object Detection
Band-Limited Signal Reconstruction From Irregular	sample	s With Variable Apertures
Bandlimited Reconstruction of Multidimensional Images From Irregular	sample	s
BANSAC: A dynamic BAyesian Network for adaptive	sample	Consensus
BatchFormer: Learning to Explore	sample	Relationships for Robust Representation Learning
Bayesian Path Inference Using Sparse GPS	sample	s With Spatio-Temporal Constraints
Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual	sample	s
Behaviour of	sample	Selection Techniques Under Explicit Regularization
Beyond the Uniqueness Assumption: Ambiguity Representation and Redundancy Elimination in the Computation of a Covering	sample	of Salient Contour Cycles
Bias of Error Rates in Linear Discriminant Analysis Caused by Feature Selection and	sample	Size
Binarized features with discriminant manifold filters for robust single-	sample	face recognition
Binary Similarity Few-Shot Object Detection With Modeling of Hard Negative	sample	s
Bio-inspired, Invariant Image Reconstruction from Irregularly Placed	sample	s
Boosting Clusters of	sample	s for Sequence Matching in Camera Networks
Boosting Robust Learning Via Leveraging Reusable	sample	s in Noisy Web Data
Boosting the Transferability of Adversarial	sample	s via Attention
Boundary Based Supervised Classification of Hyperspectral Images with Limited Training	sample	s
Boundary Of Distribution Support Generator (BDSG):	sample	Generation On The Boundary
Boundary Optimised	sample	s Training for Detecting Out-of-Distribution Images
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training	sample	Size on Multi-Stage Transfer Learning Using Deep Neural Nets
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training	sample	Selection
Building a Compact Relevant	sample	Coverage for Relevance Feedback in Content-Based Image Retrieval
Building Handwriting Recognizers by Leveraging Skeletons of Both Offline and Online	sample	s
Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated	sample	s
CaCo: Both Positive and Negative	sample	s are Directly Learnable via Cooperative-Adversarial Contrastive Learning
Calculation and estimation of	sample	statistics of binary images using quadtree data representations
Can no-reference image quality metrics assess visible wavelength iris	sample	quality?
Can Virtual	sample	s Solve Small Sample Size Problem of KISSME in Pedestrian Re-Identification of Smart Transportation?
Can Virtual	sample	s Solve Small Sample Size Problem of KISSME in Pedestrian Re-Identification of Smart Transportation?
Car/Non-Car Classification in an Informative	sample	Subspace
CBCT of a Moving	sample	From X-Rays and Multiple Videos
CDAD: A Common Daily Action Dataset with Collected Hard Negative	sample	s
Centrality and Consistency: Two-Stage Clean	sample	s Identification for Learning with Instance-Dependent Noisy Labels
CFAR Knowledge-Aided Radar Detection With Heterogeneous	sample	s
Challenging tough	sample	s in unsupervised domain adaptation
Change detection in moving-camera videos with limited	sample	s using twin-CNN features and learnable morphological operations
Characterizing stand-level forest canopy cover and height using Landsat time series,	sample	s of airborne LiDAR, and the Random Forest algorithm
Choice of low resolution	sample	sets for efficient super-resolution signal reconstruction
Class-Balanced Loss Based on Effective Number of	sample	s
Classification and Quantification Based on Image Analysis for Sperm	sample	s with Uncertain Damaged/Intact Cell Proportions
Classification for high-dimension low-	sample	size data
Classification in an informative	sample	subspace
Classification of Coniferous and Broad-Leaf Forests in China Based on High-Resolution Imagery and Local	sample	s in Google Earth Engine
Classification of Mobile Lidar Data Using Vox-net and Auxiliary Training	sample	s
Classification of Normal and Abnormal	sample	s of Peripheral Blood by Linear Mapping of the Feature Space
Classification of Point Clouds for Indoor Components Using Few Labeled	sample	s
Classification on defective items using unidentified	sample	s
Classifier Design Based on the Use of Nearest Neighbor	sample	s
Classifier Directed Data Hybridization for Geographic	sample	Supervised Segment Generation
CLEAR: Clean-up	sample	-Targeted Backdoor in Neural Networks
Closed-Form Expressions for InSAR	sample	Statistics and Its Application to Non-Gaussian Data
Closed-form Reconstruction of Images from Irregular 2-d Discrete Fourier	sample	s Using the Good-Thomas FFT
Cloud Removal From Sentinel-2 Image Time Series Through Sparse Reconstruction From Random	sample	s
CLUSAC: Clustering	sample	Consensus for Fundamental Matrix Estimation
CMW-Net: Learning a Class-Aware	sample	Weighting Mapping for Robust Deep Learning
CNNs with cross-correlation matching for face recognition in video surveillance using a single training	sample	per person
Collaborative Learning of Lightweight Convolutional Neural Network and Deep Clustering for Hyperspectral Image Semi-Supervised Classification with Limited Training	sample	s
Collaborative probabilistic labels for face recognition from single	sample	per person
Color correction and interpolation with few	sample	s
Colour image denoising by eigenvector analysis of neighbourhood colour	sample	s
Combating Noisy Labels with	sample	Selection by Mining High-Discrepancy Examples
Combined Impact of	sample	Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data
Combining Fractional Order Derivative and Spectral Variable Selection for Organic Matter Estimation of Homogeneous Soil	sample	s by VIS-NIR Spectroscopy
Combining	sample	Plot Stratification and Machine Learning Algorithms to Improve Forest Aboveground Carbon Density Estimation in Northeast China Using Airborne LiDAR Data
Common Diffusion Noise Schedules and	sample	Steps are Flawed
Communication-Efficient Vertical Federated Learning with Limited Overlapping	sample	s
Compact Model of Human Postures Extracting Common Motion from Individual	sample	s, A
Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random	sample	Consensus, A
comparative study of combining multiple enrolled	sample	s for fingerprint verification, A
comparison of asymptotic error rate expansions for the	sample	linear discriminant function, A
Comparison of Classification Algorithms and Training	sample	Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery
Complementary Attention-Driven Contrastive Learning With Hard-	sample	Exploring for Unsupervised Domain Adaptive Person Re-ID
Component-based global k-NN classifier for small	sample	size problems
Component-based LDA method for face recognition with one training	sample
Composite Method for Predicting Local Accuracies in Remotely Sensed Land-Cover Change Using Largely Non-Collocated	sample	Data, A
Comprehensive Evaluation of Approaches for Built-Up Area Extraction from Landsat OLI Images Using Massive	sample	s, A
Comprehensive Study of Three Different Portable XRF Scanners to Assess the Soil Geochemistry of An Extensive	sample	Dataset, A
Compressing Models with Few	sample	s: Mimicking then Replacing
Computationally Attractive Reconstruction of Band-Limited Images from Irregular	sample	s
Conditional Generative Adversarial Network-Based Training	sample	Set Improvement Model for the Semantic Segmentation of High-Resolution Remote Sensing Images
Conditional Recurrent Flow: Conditional Generation of Longitudinal	sample	s With Applications to Neuroimaging
Confidence Measure for Temporal Registration of Recurrent Non-uniform	sample	s
Conjugate Phase MRI Reconstruction With Spatially Variant	sample	Density Correction
Connecting the Out-of-	sample	and Pre-Image Problems in Kernel Methods
CONSAC: Robust Multi-Model Fitting by Conditional	sample	Consensus
Context-Based Fractional	sample	Refinement for HEVC Compliant Encoding
Continual Semantic Segmentation with Automatic Memory	sample	Selection
Continual Test-time Domain Adaptation via Dynamic	sample	Selection
Contour Reconstruction for Multiple 2D Regions Based on Adaptive Boundary	sample	s
Contrastive Positive	sample	Propagation Along the Audio-Visual Event Line
Contribution to Sandy Site Characterization: Spectro-Directional Signature, Grain Size Distribution and Mineralogy Extracted from Sand	sample	s
Conversion Method to Determine the Regional Vegetation Cover Factor from Standard Plots Based on Large	sample	Theory and TM Images: A Case Study in the Eastern Farming-Pasture Ecotone of Northern China, A
ConvNeXt-Haze: A Fog Image Classification Algorithm for Small and Imbalanced	sample	Dataset Based on Convolutional Neural Network
CoReFace:	sample	-guided Contrastive Regularization for Deep Face Recognition
Correlation Filter Tracker With	sample	-Reliability Awareness and Self-Guided Update
Corresponding keypoint constrained sparse representation three-dimensional ear recognition via one	sample	per person
Counterfactual	sample	s Synthesizing and Training for Robust Visual Question Answering
Counterfactual	sample	s Synthesizing for Robust Visual Question Answering
CPSS-FAT: A consistent positive	sample	selection for object detection with full adaptive threshold
CR-FIQA: Face Image Quality Assessment by Learning	sample	Relative Classifiability
Creating synthetic minority class	sample	s based on autoencoder extreme learning machine
Cross-class pest and disease vegetation detection based on small	sample	registration
Cross-Domain	sample	Relationship Learning for Facial Expression Recognition
Cross-validation and bootstrapping are unreliable in small	sample	classification
CSSBA: A Clean Label	sample	-Specific Backdoor Attack
Curiosity-Driven Class-Incremental Learning via Adaptive	sample	Selection
Data Augmentation and Spectral Structure Features for Limited	sample	s Hyperspectral Classification
Data Augmentation in High Dimensional Low	sample	Size Setting Using a Geometry-Based Variational Autoencoder
Data Augmentation Strategy Based on Simulated	sample	s for Ship Detection in RGB Remote Sensing Images, A
Data hiding of intra prediction information in chroma	sample	s for video compression
Data Transformation Functions for Expanded Search Spaces in Geographic	sample	Supervised Segment Generation
Data-Consistent Linear Prediction Method for Image-Reconstruction from Finite Fourier	sample	s, A
DatasetEquity: Are All	sample	s Created Equal? In The Quest For Equity Within Datasets
De-convolutional auto-encoder for enhancement of fingerprint	sample	s
Debiased Video-Text Retrieval via Soft Positive	sample	Calibration
Decision Pyramid Classifier for Face Recognition Under Complex Variations Using Single	sample	Per Person
Decision Tree for Automatic Diagnosis of Parkinson's Disease from Offline Drawing	sample	s: Experiments and Findings, A
Decouple-and-	sample	: Protecting Sensitive Information in Task Agnostic Data Release
Deep adaptive feature embedding with local	sample	distributions for person re-identification
Deep Co-Space:	sample	Mining Across Feature Transformation for Semi-Supervised Learning
deep convolutional neural network trained on representative	sample	s for circulating tumor cell detection, A
Deep ensemble-based hard	sample	mining for food recognition
Deep Incomplete Multi-View Clustering with Cross-View Partial	sample	and Prototype Alignment
Deep learning approach to generate offline handwritten signatures based on online	sample	s
Deep Learning Method of Landslide Inventory Map with Imbalanced	sample	s in Optical Remote Sensing
Deep Learning Network Intensification for Preventing Noisy-Labeled	sample	s for Remote Sensing Classification
Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training	sample	s Handling, A
Deep Quadruplet Network for Hyperspectral Image Classification with a Small Number of	sample	s
Deep semi-supervised clustering based on pairwise constraints and	sample	similarity
DeltaGAN: Towards Diverse Few-Shot Image Generation with	sample	-Specific Delta
Delving into the Synthesizability of Dynamic Texture	sample	s
Demosaicing: Image Reconstruction from Color CCD	sample	s
Depth Analogy: Data-Driven Approach for Single Image Depth Estimation Using Gradient	sample	s
Depth Reconstruction From Sparse	sample	s: Representation, Algorithm, and Sampling
Design of Orientation Assessment Functions for Gestalt-grouping Utilizing Labeled	sample	-data
Design, Collection, and Analysis of Handwriting	sample	Image Databases
Detecting Adversarial	sample	s Using Influence Functions and Nearest Neighbors
Detection and Correction of Mislabeled Training	sample	s for Hyperspectral Image Classification
Detection of duplicate identities in streams of biometric	sample	s: A gait-based case study
Detection of Out-of-Distribution	sample	s Using Binary Neuron Activation Patterns
Detection of the New Class of Hypersonic Targets under Emerging Hyperspectral	sample	Streams: An Unsupervised Isolation Forest Solution
Deterministic	sample	Consensus with Multiple Match Hypotheses
Development of a Multi Camera Calibration for An Analysis And Manipulation System of Biological	sample	s in Petri Dishes
DHNet: Salient Object Detection With Dynamic Scale-Aware Learning and Hard-	sample	Refinement
DIF-SR: A Differential Item Functioning-based	sample	Reweighting Method
Differential Pulse-Coded-Modulation Coder for Videotelephony Using Four Bits Per	sample	, A
Digital Drill Core Models: Structure-from-Motion as a Tool for the Characterisation, Orientation, and Digital Archiving of Drill Core	sample	s
Digital Models of Stone	sample	s for Didactical Purposes
Dimensionality,	sample	-Size, and Classification Error of Nonparametric Linear Classification Algorithms
Disaster Intensity-Based Selection of Training	sample	s for Remote Sensing Building Damage Classification
Discrete Band-Limited Signal Reconstruction From Irregular	sample	s
Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small	sample	size problem
Discriminant Low-dimensional Subspace Analysis for Face Recognition with Small Number of Training	sample	s
Discriminative multi-scale sparse coding for single-	sample	face recognition with occlusion
Discriminative Multimanifold Analysis for Face Recognition from a Single Training	sample	per Person
Discriminative transfer learning with sparsity regularization for single-	sample	face recognition
DiscrimLoss: A Universal Loss for Hard	sample	s and Incorrect Samples Discrimination
DiscrimLoss: A Universal Loss for Hard	sample	s and Incorrect Samples Discrimination
Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from	sample	s
Diverse	sample	Generation: Pushing the Limit of Generative Data-Free Quantization
Diversifying	sample	Generation for Accurate Data-Free Quantization
Diversity-Based Ensemble with	sample	Weight Learning
Do We Really Need Gold	sample	s for Sample Weighting under Label Noise?
Do We Really Need Gold	sample	s for Sample Weighting under Label Noise?
Domain Generalization with Global	sample	Mixup
Dominant edge direction based fast parameter estimation algorithm for	sample	adaptive offset in HEVC
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned	sample	s in DNNs
dpvaes: Fixing	sample	Generation for Regularized VAEs
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled	sample	s
Dual Clustering Co-Teaching With Consistent	sample	Mining for Unsupervised Person Re-Identification
Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training	sample	s
Dual Temperature Helps Contrastive Learning Without Many Negative	sample	s: Towards Understanding and Simplifying MoCo
Dual-Branch Extraction and Classification Method Under Limited	sample	s of Hyperspectral Images Based on Deep Learning, A
Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set	sample	Weighting
Dynamic Programming Inference of Markov Networks from Finite Sets of	sample	Strings
Dynamic Recommendation of Substitute Locations for Inaccessible Soil	sample	s during Field Sampling Campaign
Dynamic	sample	Weighting for Weakly Supervised Object Detection
Edge-Preserving Reference	sample	Filtering and Mode-Dependent Interpolation for Intra-Prediction
Effect of autocorrelated training	sample	s on Bayes' probabilities of misclassification
Effect of feature standardization on reducing the requirements of field	sample	s for individual tree species classification using ALS data
Effect of Finite	sample	Size in Content-Based Image Retrieval
Effect of intraclass correlation among training	sample	s on the misclassification probabilities of bayes procedure
Effect of Negative	sample	s on the Accuracy of Water Body Extraction Using Deep Learning Networks, The
Effect of Unlabeled	sample	s in Reducing the Small Sample Size Problem and Mitigating the Hughes Phenomenon, The
Effect of Unlabeled	sample	s in Reducing the Small Sample Size Problem and Mitigating the Hughes Phenomenon, The
Effective classification image space which can solve small	sample	size problem
Effectiveness of Semi-Supervised Learning and Multi-Source Data in Detailed Urban Landuse Mapping with a Few Labeled	sample	s
Effects of	sample	Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests
Effects of	sample	Size in Classifier Design
Efficiency of discriminant analysis when initial	sample	s are classified stochastically
efficient algorithm to calculate	sample	and rank selection probabilities for weighted median filters, An
efficient algorithm to solve the small	sample	size problem for LDA, An
Efficient any-Target Backdoor Attack with Pseudo Poisoned	sample	s
Efficient correlation filter tracking with adaptive training	sample	update scheme
efficient discriminant-based solution for small	sample	size problem, An
Efficient Ground Surface Displacement Monitoring Using Sentinel-1 Data: Integrating Distributed Scatterers (DS) Identified Using Two-	sample	t-Test with Persistent Scatterers (PS)
Efficient Image Categorization Method With Insufficient Training	sample	s, An
Efficient Learning of	sample	-Specific Discriminative Features for Scene Classification
Efficient Multiple-Feature Learning-Based Hyperspectral Image Classification with Limited Training	sample	s
Efficient Online Local Metric Adaptation via Negative	sample	s for Person Re-identification
Efficient selection of informative and diverse training	sample	s with applications in scene classification
Efficient Simplicial Reconstructions of Manifolds from Their	sample	s
Efficient spectral reconstruction using a trichromatic camera via	sample	optimization
efficient sub-	sample	interpolator hardware for VP9-10 standards, An
Efficient Urban Flood Mapping Framework Towards Disaster Response Driven by Weakly Supervised Semantic Segmentation with Decoupled Training	sample	s, An
Eigenvector-Based N-D Frequency Estimation From	sample	Covariance Matrix
Emphasizing Complementary	sample	s for Non-literal Cross-modal Retrieval
Empirical Study of Object Category Recognition: Sequential Testing with Generalized	sample	s, An
Enhanced Single-Pair Learning-Based Reflectance Fusion Algorithm with Spatiotemporally Extended Training	sample	s, An
Enhancing	sample	Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
Enhancing	sample	Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
Enhancing training data for handwriting recognition of whiteboard notes with	sample	s from a different database
Ensemble of Randomized Linear Discriminant Analysis for face recognition with single	sample	per person
Ensembles of exemplar-SVMs for video face recognition from a single	sample	per person
Equidistant prototypes embedding for single	sample	based face recognition with generic learning and incremental learning
Error Measures for Trajectory Estimations With Geo-Tagged Mobility	sample	Data
ES2FL: Ensemble Self-Supervised Feature Learning for Small	sample	Classification of Hyperspectral Images
Essential Low-Rank	sample	Learning for Group-Aware Subspace Clustering
Estimating	sample	Size Requirements for Reliable Personal Authentication Using User-Specific Samples
Estimating	sample	Size Requirements for Reliable Personal Authentication Using User-Specific Samples
Estimation of Sperm Concentration and Total Motility from Microscopic Videos of Human Semen	sample	s
Evaluating Classification Performance with only Positive and Unlabeled	sample	s
Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest Biomass Based on Landsat Time-Series and LiDAR Strip	sample	s in the Eastern USA
Evaluating the Biometric	sample	Quality of Handwritten Signatures
Evaluation of Brute-force Attack to Dynamic Signature Verification Using Synthetic	sample	s
Evaluation of Color-Difference Formulae Based on Small Color Difference Data by Printed	sample
Evaluation of Different Training	sample	Allocation Schemes for Discrete and Continuous Land Cover Classification Using Decision Tree-Based Algorithms, An
Evaluation of threshold color differences using printed	sample	s
experimental study of one- and two-level classifier fusion for different	sample	sizes, An
Expert	sample	Consensus Applied To Camera Localization for AR Sports Spectators
Expert	sample	Consensus Applied to Camera Re-Localization
Exploiting	sample	correlation for crowd counting with multi-expert network
Exploiting Typicality for Selecting Informative and Anomalous	sample	s in Videos
Exploiting uncertainty in random	sample	consensus
Exploiting Web Images for Fine-Grained Visual Recognition via Dynamic Loss Correction and Global	sample	Selection
Exploiting Web Images for Semantic Video Indexing Via Robust	sample	-Specific Loss
Exploration of Practical HEVC/H.265	sample	Adaptive Offset Encoding Policies
Extracting Building Areas from Photogrammetric DSM and DOM by Automatically Selecting Training	sample	s from Historical DLG Data
Extracting Typical	sample	s Based on Image Environmental Factors to Obtain an Accurate and High-Resolution Soil Type Map
Extraction of	sample	Plot Parameters from 3D Point Cloud Reconstruction Based on Combined RTK and CCD Continuous Photography
Extrapolation Assessment for Forest Structural Parameters in Planted Forests of Southern China by UAV-LiDAR	sample	s and Multispectral Satellite Imagery
Extreme learning machine for out-of-	sample	extension in Laplacian eigenmaps
Face and palmprint pixel level fusion and Kernel DCV-RBF classifier for small	sample	biometric recognition
Face identification from one single	sample	face image
Face recognition based on a two-view projective transformation using one	sample	per subject
Face recognition from single	sample	based on human face perception
Face Recognition Robust to Head Pose from One	sample	Image
Face Recognition Systems from Single Example, One	sample	, One Shot
Face recognition with single	sample	per person using HOG-LDB and SVDL
Face Recognition with Single Training	sample	per Subject
Face Retrieval in Video Sequences Using a Single Face	sample
Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training	sample	order
Fast and Robust Ellipse Detection Algorithm Based on Pseudo-random	sample	Consensus, A
Fast and Robust Sparse Approach for Hyperspectral Data Classification Using a Few Labeled	sample	s, A
Fast Automatic Microstructural Segmentation of Ferrous Alloy	sample	s Using Optimum-Path Forest
Fast incremental learning for one-class support vector classifier using	sample	margin information
Fast k-space	sample	selection in MRSI with a limited region of support
Fast Motion Estimation With Interpolation-Free Sub-	sample	Accuracy
Fast parameter estimation algorithm for	sample	adaptive offset in HEVC encoder
Fast protein homology and fold detection with sparse spatial	sample	kernels
Fast Random	sample	Matching of 3d Fragments
Fast	sample	adaptive offset algorithm for 360-degree video coding
Fault detection in stack filter circuits based on	sample	selection probabilities
Feature definition in pattern recognition with small	sample	size
Feature Extractions for Small	sample	Size Classification Problem
Feature GANs: A Model for Data Enhancement and	sample	Balance of Foreign Object Detection in High Voltage Transmission Lines
feature information based approach for enhancing score-level fusion in multi-	sample	biometric systems, A
Feature Selection Solution with High Dimensionality and Low-	sample	Size for Land Cover Classification in Object-Based Image Analysis
Feature Selection When Limited Numbers of Training	sample	s are Available
Feature-Selection: Evaluation, Application, and Small	sample	Performance
Few	sample	Knowledge Distillation for Efficient Network Compression
Few-	sample	Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases
Few-Shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network With Adaptive	sample	Pair Formation
Few-Shot Learning via Saliency-Guided Hallucination of	sample	s
Few-Shot Object Detection by Attending to Per-	sample	-Prototype
Filtering of multivariate	sample	s containing outliers for clustering
Fine-Grained Species Recognition With Privileged Pooling: Better	sample	Efficiency Through Supervised Attention
Fine-Grained Visual Categorization Using Meta-learning Optimization with	sample	Selection of Auxiliary Data
Fingerprint retrieval by spatial modelling and distorted	sample	generation
Finite	sample	Bias of Robust Estimators in Segmentation of Closely Spaced Structures: A Comparative Study
Finite	sample	Bias of Robust Scale Estimators in Computer Vision Problems
Fixation identification for low-	sample	-rate mobile eye trackers
FLAR: A Unified Prototype Framework for Few-	sample	Lifelong Active Recognition
Focus on Hard	sample	s: Hierarchical Unbiased Constraints for Cross-Domain 3D Model Retrieval
Forced Random Sampling: Fast generation of importance-guided blue-noise	sample	s
Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a	sample	from VHR Imagery
Framework for Depth Video Reconstruction From a Subset of	sample	s and Its Applications, A
Framework for Estimating Representative Area of a Ground	sample	Using Remote Sensing, A
Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training	sample	s, A
Framework of Filtering Rules over Ground Truth	sample	s to Achieve Higher Accuracy in Land Cover Maps, A
FRODO: An In-Depth Analysis of a System to Reject Outlier	sample	s From a Trained Neural Network
From one to many: Pose-Aware Metric Learning for single-	sample	face recognition
From patch,	sample	to domain: Capture geometric structures for few-shot learning
From Point	sample	s to Surfaces: On Meshing and Alternatives
From	sample	Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space
Further results on the effect of intraclass correlation among training	sample	s in discriminant analysis
Fusion of Multidimensional CNN and Handcrafted Features for Small-	sample	Hyperspectral Image Classification
Gaussian Graphical Model Exploration and Selection in High Dimension Low	sample	Size Setting
GCSAC: geometrical constraint	sample	consensus for primitive shapes estimation in 3D point cloud
Gender Recognition Using a Gaze-Guided Self-Attention Mechanism Robust Against Background Bias in Training	sample	s
general model for finite-	sample	effects in training and testing of competing classifiers, A
Generalized Interpolation-Based Fractional	sample	Motion Compensation
Generalized zero-shot classification via iteratively generating and selecting unseen	sample	s
Generalizing to Out-of-	sample	Degradations via Model Reprogramming
Generating Adversarial	sample	s in Mini-Batches May Be Detrimental To Adversarial Robustness
Generating and Weighting Semantically Consistent	sample	Pairs for Ultrasound Contrastive Learning
Generating Manifold	sample	s from a Handwritten Word
Generating Representative	sample	s for Few-Shot Classification
Generative Latent Implicit Conditional Optimization when Learning from Small	sample
Generative Models for License Plate Recognition by using a Limited Number of Training	sample	s
Genetic Algorithm	sample	Consensus (GASAC): A Parallel Strategy for Robust Parameter Estimation
Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent	sample	Collection Scheme: A Case Study of Taibai Mountain, China
Geological History of the Chang'e-5	sample	Return Region, The
Geometric Constraint and Image Inpainting-Based Railway Track Fastener	sample	Generation for Improving Defect Inspection
Geometric imbalanced deep learning with feature scaling and boundary	sample	mining
Geospatial Management and Analysis of Microstructural Data from San Andreas Fault Observatory at Depth (SAFOD) Core	sample	s
Geostatistical Modelling of Soil Spatial Variability by Fusing Drone-Based Multispectral Data, Ground-Based Hyperspectral and	sample	Data with Change of Support
GESAC: Robust graph enhanced	sample	consensus for point cloud registration
Gesture Recognition Under Small	sample	Size
GFCNet: Contrastive Learning Network with Geography Feature Space Joint Negative	sample	Correction for Land Cover Classification
GMT-WGAN: An Adversarial	sample	Expansion Method for Ground Moving Targets Classification
Good	sample	Consensus Estimation of 2D-Homographies for Vehicle Movement Detection from Thermal Videos
GPU-based optimization for	sample	adaptive offset in HEVC
Graph Node Based Interpretability Guided	sample	Selection for Active Learning
Grid	sample	Based Temporal Iteration and Compactness-coefficient Distance for High Frame and Ultra-low Delay SLIC Segmentation System
Group Maximum Differentiation Competition: Model Comparison with Few	sample	s
Guided Sampling via Weak Motion Models and Outlier	sample	Generation for Epipolar Geometry Estimation
Hard	sample	Aware Noise Robust Learning for Histopathology Image Classification
Hard	sample	Matters a Lot in Zero-Shot Quantization
Hard	sample	-aware Consistency for Low-resolution Facial Expression Recognition
Hard	sample	s Based Margin Loss for Face Verification
Hard	sample	s Rectification for Unsupervised Cross-Domain Person Re-Identification
HAVANA: Hard Negative	sample	-Aware Self-Supervised Contrastive Learning for Airborne Laser Scanning Point Cloud Semantic Segmentation
HEp-2 Cell Image Recognition with Transferable Cross-Dataset Synthetic	sample	s
Heuristic	sample	learning for complex urban scenes: Application to urban functional-zone mapping with VHR images and POI data
Hierarchical extended collaborative representation based classification for single-	sample	face recognition
hierarchical model for the evaluation of biometric	sample	quality, A
Hierarchical	sample	-Based Joint Probabilistic Data Association Filter for Following Human Legs Using a Mobile Robot in a Cluttered Environment
Hierarchical Surface Reconstruction from Multi-resolution Point	sample	s
Hierarchical Training for Large Scale Face Recognition with Few	sample	s Per Subject
High-Accuracy and Quick Matting Based on	sample	-Pair Refinement and Local Optimization
High-accuracy continuous mapping of surface water dynamics using automatic update of training	sample	s and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China
High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell	sample	s Using Fusion of Decisions from Deep Convolutional Networks
High-quality image restoration from partial random	sample	s in spatial domain
High-throughput and power-efficient hardware design for a multiple video coding standard	sample	interpolator
Hill Climbing Algorithm for Random	sample	Consensus Methods
Holistic Approach to Measure	sample	-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
How Does CONDENSATION Behave with a Finite Number of	sample	s?
How Does	sample	Labeling and Distribution Affect the Accuracy and Efficiency of a Deep Learning Model for Individual Tree-Crown Detection and Delineation
How to Build an Average Model When	sample	s are Variably Incomplete? Application to Fossil Data
HSGAN: Reducing mode collapse in GANs by the latent code distance of homogeneous	sample	s
Hybrid	sample	Synthesis-based Debiasing of Classifier in Limited Data Setting
Hyperspectral Anomaly Detection Based on Separability-Aware	sample	Cascade
Hyperspectral Approach for Unsupervised Spoof Detection With Intra-	sample	Distribution, A
Hyperspectral Image Classification Based on Parameter-Optimized 3D-CNNs Combined with Transfer Learning and Virtual	sample	s
Hyperspectral Image Classification With Small Training	sample	Size Using Superpixel-Guided Training Sample Enlargement
Hyperspectral Image Classification With Small Training	sample	Size Using Superpixel-Guided Training Sample Enlargement
Identification of Statistically Homogeneous Pixels Based on One-	sample	Test
Identify Representative	sample	s by Conditional Random Field of Cancer Histology Images
Identifying Hard Noise in Long-Tailed	sample	Distribution
Identifying Spatiotemporal Patterns in Land Use and Cover	sample	s from Satellite Image Time Series
Identifying Wrongly Predicted	sample	s: A Method for Active Learning
IL-GAN: Illumination-invariant representation learning for single	sample	face recognition
Illumination and Expression Invariant Face Recognition with One	sample	Image
Illumination and Expression Invariant Face Recognition: Toward	sample	Quality-based Adaptive Fusion
Image Classification from Small	sample	, with Distance Learning and Feature Selection
Image Classification via Semi-supervised Feature Extraction with Out-of-	sample	Extension
Image classification via SVM using in-between universum	sample	s
Image Denoising Using the Lyapunov Equation from Non-uniform	sample	s
Image denoising via adaptive soft-thresholding based on non-local	sample	s
Image interpolation from Manhattan cutset	sample	s via orthogonal gradient method
Image multi-thresholding based on	sample	moment function
Image reconstruction and enhanced resolution imaging from irregular	sample	s
Image Reconstruction From Random	sample	s With Multiscale Hybrid Parametric and Nonparametric Modeling
Image reconstruction from random	sample	s with parametric and nonparametric modeling
Image Recovery from Irregularly Located Spectral	sample	s
Image Sampling, Reconstruction, and the Effect of	sample	-Scene Phasing
Image Shape Manipulation from a Single Augmented Training	sample
Image Super-Resolution With Self-Similarity Prior Guided Network and	sample	-Discriminating Learning
Image Surface Approximation with Irregular	sample	s
Image-Based Molding Effect Analysis of HWTD	sample
Impact of combining quality measures on biometric	sample	matching
Implicit	sample	Extension for Unsupervised Person Re-Identification
improved bound on the finite-	sample	risk of the nearest neighbor rule, An
Improved deep convolutional embedded clustering with re-selectable	sample	training
Improved Estimation of Regional Fractional Woody/Herbaceous Cover Using Combined Satellite Data and High-Quality Training	sample	s, An
Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training	sample	s
Improvement of a Traffic Sign Detector by Retrospective Gathering of Training	sample	s from In-Vehicle Camera Image Sequences
Improvements in	sample	Selection Methods for Image Classification
Improving Estimates of Natural Resources Using Model-Based Estimators: Impacts of	sample	Design, Estimation Technique, and Strengths of Association
Improving Face Recognition from Hard	sample	s via Distribution Distillation Loss
Improving HMM-Based Chinese Handwriting Recognition Using Delta Features and Synthesized String	sample	s
Improving Image Clustering through	sample	Ranking and Its Application to Remote Sensing Images
Improving Out-of-Distribution Generalization in SAR Image Scene Classification with Limited Training	sample	s
Improving Person Re-Identification by Adaptive Hard	sample	Mining
Improving Random Forests by Correlation-Enhancing Projections and	sample	-Based Sparse Discriminant Selection
Improving Replay	sample	Selection and Storage for Less Forgetting in Continual Learning
Improving	sample	Quality of Diffusion Models Using Self-Attention Guidance
Improving the Accuracy of Land Cover Mapping by Distributing Training	sample	s
Improving the Enrollment in Dynamic Signature Verfication with Synthetic	sample	s
Improving the Transferability of Adversarial	sample	s by Path-Augmented Method
Improving the Transferability of Adversarial	sample	s with Adversarial Transformations
Improving Urban Land Cover/Use Mapping by Integrating A Hybrid Convolutional Neural Network and An Automatic Training	sample	Expanding Strategy
Improving user verification in human-robot interaction from audio or image inputs through	sample	quality assessment
IMPSAC: Synthesis of Importance Sampling and Random	sample	Consensus
In-	sample	Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization
Incidence of the	sample	Size Distribution on One-Shot Federated Learning
Incremental Fast Policy Search Using a Single	sample	Path, An
incremental learning framework combining	sample	confidence and discrimination with an application to automatic image annotation, An
Incremental Learning with	sample	Queries
Incremental relevance	sample	-feature machine: A fast marginal likelihood maximization approach for joint feature selection and classification
Indirect Estimation of Signal-Dependent Noise With Nonadaptive Heterogeneous	sample	s
Inference of tree grammars using negative	sample	s
Influence of erroneous learning	sample	s on adaptation in on-line handwriting recognition
Influence of	sample	Size on Automatic Positional Accuracy Assessment Methods for Urban Areas
Influence of	sample	size on line-based positional assessment methods for road data
Influence of Spectral Pretreatment on the Selection of Representative Calibration	sample	s for Soil Organic Matter Estimation Using Vis-NIR Reflectance Spectroscopy, The
Influence of Standard Printing	sample	on Digital Proofing
Influence of Unknown Exterior	sample	s on Interpolated Values for Band-Limited Images
information theoretic rule for	sample	size adaptation in particle filtering, An
Informative	sample	generation using class aware generative adversarial networks for classification of chest Xrays
Informative	sample	Mining Network for Multi-domain Image-to-image Translation
Insight Into the Gibbs	sample	r: Keep the Samples or Drop Them?, An
Integrated Counterfactual	sample	Generation and Filtering Approach for SAR Automatic Target Recognition with a Small Sample Set, An
Integrated Counterfactual	sample	Generation and Filtering Approach for SAR Automatic Target Recognition with a Small Sample Set, An
Integrating Hybrid Pyramid Feature Fusion and Coordinate Attention for Effective Small	sample	Hyperspectral Image Classification
Intelligent Recognition Method of Low-Altitude Squint Optical Ship Target Fused with Simulation	sample	s
Inter-subspace distance: a new method for face recognition with multiple	sample	s
Interactive collection of training	sample	s from the Max-Tree structure
Interactive image segmentation based on	sample	s reconstruction and FLDA
Interpolation of Missing	sample	s in Sound Signals Based on Autoregressive Modeling
Interpretability-Driven	sample	Selection Using Self Supervised Learning for Disease Classification and Segmentation
Intrinsic	sample	mean in the space of planar shapes
Introduce More Characteristics of	sample	s into Cross-domain Sentiment Classification
Introduction of	sample	Based Prior into the D-Bar Method Through a Schur Complement Property
Invariances in kernel methods: From	sample	s to objects
Invariant image reconstruction from irregular	sample	s and hexagonal grid splines
Invariant operators, small	sample	s, and the bias-variance dilemma
Invariant Training 2D-3D Joint Hard	sample	s for Few-Shot Point Cloud Recognition
Inverse Fisher discriminate criteria for small	sample	size problem and its application to face recognition
Investigation of a Multidimensional CNN Combined with an Attention Mechanism Model to Resolve Small-	sample	Problems in Hyperspectral Image Classification, An
Investigation of Sensitivity of SVM Classifier Respect to the Number of Fetures and the Number of Training	sample	s, The
Invisible Backdoor Attack with	sample	-Specific Triggers
ISIgraphy: A tool for online handwriting	sample	database generation
Iterative Training	sample	Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery
IterNet++: An improved model for retinal image segmentation by curvelet enhancing, guided filtering, offline hard-	sample	mining, and test-time augmenting
Joint and collaborative representation with local adaptive convolution feature for face recognition with single	sample	per person
Joint Feature-	sample	Selection and Robust Classification for Parkinson's Disease Diagnosis
Joint Random	sample	Consensus and Multiple Motion Models for Robust Video Tracking
Joint	sample	Enhancement and Instance-Sensitive Feature Learning for Efficient Person Search
Joint Video Summarization and Moment Localization by Cross-Task	sample	Transfer
K-L Expansion as an Effective Feature Ordering Technique for Limited Training	sample	Size, The
Kernel Bisecting k-means clustering for SVM training	sample	reduction
Kernel propagation strategy: A novel out-of-	sample	propagation projection for subspace learning
Kernel quadratic discriminant analysis for small	sample	size problem
Kernel	sample	space projection classifier for pattern recognition
Kernel Supervised Ensemble Classifier for the Classification of Hyperspectral Data Using Few Labeled	sample	s
Knockoffs-SPR: Clean	sample	Selection in Learning With Noisy Labels
Knowledge-Guided Blind Image Quality Assessment With Few Training	sample	s
label-noise robust active learning	sample	collection method for multi-temporal urban land-cover classification and change analysis, A
LabelRS: An Automated Toolbox to Make Deep Learning	sample	s from Remote Sensing Images
Land cover change detection thresholds for Landsat data	sample	s
Land Cover Changes of the Qilian Mountain National Park in Northwest China Based on Phenological Features and	sample	Migration from 1990 to 2020
Landslide Displacement Prediction Based on a Two-Stage Combined Deep Learning Model under Small	sample	Condition
Large	sample	Bias in Least Squares Estimation of a Circular Arc Center and Its Radius
Large	sample	group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering
Large Scale Hard	sample	Mining with Monte Carlo Tree Search
LatentDR: Improving Model Generalization Through	sample	-Aware Latent Degradation and Restoration
Layer-Wise Relevance Propagation Based	sample	Condensation for Kernel Machines
Learned Model Composition With Critical	sample	Look-Ahead for Semi-Supervised Learning on Small Sets of Labeled Samples
Learned Model Composition With Critical	sample	Look-Ahead for Semi-Supervised Learning on Small Sets of Labeled Samples
Learning a Unified	sample	Weighting Network for Object Detection
Learning Bias-Invariant Representation by Cross-	sample	Mutual Information Minimization
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited	sample	s
Learning Deep Convolutional Embeddings for Face Representation Using Joint	sample	- and Set-Based Supervision
Learning discriminative and meaningful	sample	s for generalized zero shot classification
Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and	sample	-to-Sample Distances
Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and	sample	-to-Sample Distances
Learning Fast	sample	Re-weighting Without Reward Data
Learning From Examples in the Small	sample	Case: Face Expression Recognition
Learning from Multiple Annotator Noisy Labels via	sample	-Wise Label Fusion
Learning from Noisy Labels with Coarse-to-fine	sample	Credibility Modeling
Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small	sample	s
Learning Hidden Graphs From	sample	s
Learning High-level Features for Satellite Image Classification With Limited Labeled	sample	s
Learning Image-to-Image Translation Using Paired and Unpaired Training	sample	s
Learning of Prototypes and Decision Boundaries for a Verification Problem Having Only Positive	sample	s
Learning on	sample	-efficient and label-efficient multi-view cardiac data with graph transformer
Learning people detection models from few training	sample	s
Learning	sample	Relationship for Exposure Correction
Learning	sample	Specific Weights for Late Fusion
Learning	sample	subspace with application to face detection
Learning Scalable Discriminative Dictionary with	sample	Relatedness
Learning Shadow Removal From Unpaired	sample	s via Reciprocal Learning
Learning Spatial Relationships between	sample	s of Patent Image Shapes
Learning structural and corruption information from	sample	s for Markov random field binary image reconstruction
Learning Structure and Strength of CNN Filters for Small	sample	Size Training
Learning the Semantics of Images by Using Unlabeled	sample	s
Learning the Synthesizability of Dynamic Texture	sample	s
Learning to Adapt to Domain Shifts with Few-shot	sample	s in Anomalous Sound Detection
Learning to Learn: Model Regression Networks for Easy Small	sample	Learning
Learning to	sample
Learning to Up	sample	by Learning to Sample
Learning to Weight	sample	s for Dynamic Early-Exiting Networks
Learning Training	sample	s for Occlusion Edge Detection and Its Application in Depth Ordering Inference
Learning Visual Instance Retrieval from Failure: Efficient Online Local Metric Adaptation from Negative	sample	s
Learning With Imbalanced Noisy Data by Preventing Bias in	sample	Selection
Less is More:	sample	Selection and Label Conditioning Improve Skin Lesion Segmentation
Lessons from collecting a million biometric	sample	s
Leukocyte recognition in human fecal	sample	s using texture features
LGSQE: Lightweight Generated	sample	Quality Evaluation
Library of	sample	Image Instances for the Cutting Path Problem
Lightweight Generalizable Evaluation and Enhancement Framework for Generative Models and Generated	sample	s, A
Limited-	sample	s-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine
Linear generalization probe	sample	s for face recognition
Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field	sample	Size and Highly Correlated LiDAR Data
LLN-based Model-Driven Validation of Data Points for Random	sample	Consensus Methods
Local Generic Representation for Face Recognition with Single	sample	per Person
Local matting based on	sample	-pair propagation and iterative refinement
Local selected features of dual-tree complex wavelet transform for single	sample	face recognition
Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single	sample	per Person
Local structure based sparse representation for face recognition with single	sample	per person
Localized matching using Earth Mover's Distance towards discovery of common patterns from small image	sample	s
Logistic Regression Confined by Cardinality-Constrained	sample	and Feature Selection
LongReMix: Robust learning with high confidence	sample	s in a noisy label environment
Lossless screen content coding in HEVC based on	sample	-wise median and edge prediction
Low-cost Terrestrial Photogrammetry as a Tool for a	sample	-Based Assessment of Soil Roughness
Low-Rank Constrained Attention-Enhanced Multiple Spatial-Spectral Feature Fusion for Small	sample	Hyperspectral Image Classification
Low-resource automatic cartoon image creation from limited	sample	s
LOW: Training deep neural networks by learning optimal	sample	weights
lower bound on the	sample	size needed to perform a significant frequent pattern mining task, A
Lunar Surface Resource Exploration: Tracing Lithium, 7 Li and Black Ice Using Spectral Libraries and Apollo Mission	sample	s
Machine Learning for Photometric Redshift Estimation of Quasars with Different	sample	s
Machine Vision System for the Automated Classification and Counting of Neurons in 3-D Brain Tissue	sample	s, A
MAGSAC: Marginalizing	sample	Consensus
Making FLDA applicable to face recognition with one	sample	per person
Manifold Based Dynamic Texture Synthesis from Extremely Few	sample	s
Manifold Based Face Synthesis from Sparse	sample	s
Mapping China's planted forests using high resolution imagery and massive amounts of crowdsourced	sample	s
Mapping corn dynamics using limited but representative	sample	s with adaptive strategies
Mapping Inter-Annual Land Cover Variations Automatically Based on a Novel	sample	Transfer Method
Mapping Main Grain Crops and Change Analysis in the West Liaohe River Basin with Limited	sample	s Based on Google Earth Engine
Mapping the snow line altitude for large glacier	sample	s from multitemporal Landsat imagery
Mapping Typical Urban LULC from Landsat Imagery without Training	sample	s or Self-Defined Parameters
Margin-Based	sample	Filtering for Image Classification Using Convolutional Neural Networks
Marginalizing	sample	Consensus
Masked Graph Convolutional Network for Small	sample	Classification of Hyperspectral Images
Masked Images Are Counterfactual	sample	s for Robust Fine-Tuning
Matching with GUISAC-Guided	sample	Consensus
Matching with PROSAC: Progressive	sample	Consensus
Maximum Likelihood Estimation	sample	Consensus with Validation of Individual Correspondences
Maximum Likelihood TDOA Estimation From Compressed Sensing	sample	s Without Reconstruction
Maximum-Likelihood Based Synthesis of Volumetric Textures From a 2D	sample
Maximum-Likelihood-Estimation for the Two-Dimensional Discrete Boolean Random Set and Function Models Using Multidimensional Linear	sample	s
MDL Estimation for Small	sample	Sizes and Its Application to Segmenting Binary Strings
Measurement Matrix Design for	sample	-Efficient Binary Compressed Sensing
Medical image reconstruction from sparse	sample	s using Simultaneous Perturbation Stochastic Optimization
MemSAC: Memory Augmented	sample	Consistency for Large Scale Domain Adaptation
Meta-Mining Discriminative	sample	s for Kinship Verification
MetaGait: Learning to Learn an Omni	sample	Adaptive Representation for Gait Recognition
Method For Fine Resolution Frequency Estimation From Three DFT	sample	s, A
method of anomaly detection and fault diagnosis with online adaptive learning under small training	sample	s, A
Methodology for Regional Soil Organic Matter Prediction with Spectroscopy: Optimal	sample	Grouping, Input Variables, and Prediction Model
MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-	sample	SAR ATR
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution	sample	s in Pedestrian Trajectory Prediction
Microstructure analysis of silk	sample	s using mueller matrix determination and sparse representation
migration of training	sample	s towards dynamic global land cover mapping, The
Minimum variance image interpolation from noisy and aliased	sample	s
Mining Better	sample	s for Contrastive Learning of Temporal Correspondence
Mining Hard Augmented	sample	s for Robust Facial Landmark Localization With CNNs
Mining Hard Negative	sample	s for SAR-Optical Image Matching Using Generative Adversarial Networks
Mitigating Imbalance of Land Cover Change Data for Deep Learning Models with Temporal and Spatiotemporal	sample	Weighting Schemes
Model Fitting with Sufficient Random	sample	Coverage
Model recommendation: Generating object detectors from few	sample	s
Model scheduling and	sample	selection for ensemble adversarial example attacks
Model-Driven-to-	sample	-Driven Method for Rural Road Extraction, A
Modeling Stand Height, Volume, and Biomass from Very High Spatial Resolution Satellite Imagery and	sample	s of Airborne LiDAR
Modelling Spectral Unmixing of Geological Mixtures: An Experimental Study Using Rock	sample	s
Modified eigenvector-based feature extraction for hyperspectral image classification using limited	sample	s
Modified	sample	adaptive offset filtering as an inter-layer processing for scalable HEVC
Monitoring forest areas from continental to territorial levels using a	sample	of medium spatial resolution satellite imagery
Mono is Enough: Instance Segmentation from Single Annotated	sample
Montmorillonite Estimation in Clay-Quartz-Calcite	sample	s from Laboratory SWIR Imaging Spectroscopy: A Comparative Study of Spectral Preprocessings and Unmixing Methods
MugNet: Deep Learning for Hyperspectral Image Classification Using Limited	sample	s
Multi-Bernoulli	sample	consensus for simultaneous robust fitting of multiple structures in machine vision
Multi-Block Mixed	sample	Semi-Supervised Learning for SAR Target Recognition
Multi-criteria Selection of Rehearsal	sample	s for Continual Learning
Multi-Cue Semi-Supervised Color Constancy With Limited Training	sample	s
multi-faceted CNN architecture for automatic classification of mobile LiDAR data and an algorithm to reproduce point cloud	sample	s for enhanced training, A
Multi-label image recognition by using semantics consistency, object correlation, and multiple	sample	s
Multi-Level Dynamic Error Coding for Face Recognition with a Contaminated Single	sample	Per Person
Multi-Modal Biometrics Pixel Level Fusion and KPCA-RBF Feature Classification for Single	sample	Recognition Problem
multi-phase sparse probability framework via entropy minimization for single	sample	face recognition, A
Multi-	sample	inference network
multi-	sample	, multi-tree approach to bag-of-words image representation for image retrieval, A
Multi-scale Positive	sample	Refinement for Few-shot Object Detection
Multi-target Tracking Using	sample	-Based Data Association for Mixed Images
Multi-Task Multi-	sample	Learning
Multi-temporal Image Registration Method Based on Edge Matching and Maximum Likelihood Estimation	sample	Consensus, A
Multi-view discriminant analysis with	sample	diversity for ECG biometric recognition
Multigrid image reconstruction from arbitrarily spaced	sample	s
Multilabel	sample	Augmentation-Based Hyperspectral Image Classification
Multimodal sparse representation classification with Fisher discriminative	sample	reduction
Multiobjective Genetic SVM Approach for Classification Problems With Limited Training	sample	s, A
Multiobjective-Based Sparse Representation Classifier for Hyperspectral Imagery Using Limited	sample	s
Multiple feature subspaces analysis for single	sample	per person face recognition
Multiple	sample	group pairs' graph embedding for tracking
Multiple-	sample	fusion of matching scores in biometric systems
Multiresolution-based weighted regularization for denoised image interpolation from scattered	sample	s with application to confocal microscopy
Multivariate Statistical Differences of MRI	sample	s of the Human Brain
Multiway Spectral Clustering with Out-of-	sample	Extensions through Weighted Kernel PCA
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard	sample	s, With Application to Person Re-Identification
Narrowing Domain Gaps With Bridging	sample	s for Generalized Face Forgery Detection
Natural image matting via adaptive local and nonlocal	sample	clustering
Near Standard Soil	sample	s Spectra Enhanced Modeling Strategy for Cd Concentration Prediction, A
Near-Field 3D Sparse SAR Direct Imaging with Irregular	sample	s
NeFSAC: Neurally Filtered Minimal	sample	s
Negative	sample	s are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification
Neighboring	sample	Prediction Coding for HEVC Screen Content Coding
Neither Global Nor Local: Regularized Patch-Based Representation for Single	sample	Per Person Face Recognition
Neural Adaptive Loop Filtering for Video Coding: Exploring Multi-Hypothesis	sample	Refinement
Neural-Guided RANSAC: Learning Where to	sample	Model Hypotheses
new approach for relevance feedback through positive and negative	sample	s, A
New Face Recognition Algorithm based on Dictionary Learning for a Single Training	sample	per Person, A
new LDA-based face recognition system which can solve the small	sample	size problem, A
New Methods for Reasoning Towards Posterior Distributions Based on	sample	Data
New Saliency Point Detection and Evaluation Methods for Finding Structural Differences in Remote Sensing Images of Long Time-Span	sample	s
New	sample	Consensus Based on Sparse Coding for Improved Matching of SIFT Features on Remote Sensing Images, A
NIRS-Aided Methodology to Elucidate the Nutrition of the Endangered Mountain Gazelle (Gazella gazella) Using	sample	s of Rumen Contents from Roadkills, A
Non-causal encoding of predictively coded	sample	s
Non-causal non-parametric multi-scale Markov Random Field synthesis of volumetric textures from a unique 2D	sample
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable	sample	s Synthesis
Non-parametric synthesis of laminar volumetric textures from a 2D	sample
Nonlinear Cross-View	sample	Enrichment for Action Recognition
Nonparametric feature extraction for classification of hyperspectral images with limited training	sample	s
Not All	sample	s Are Born Equal: Towards Effective Clean-Label Backdoor Attacks
Not All	sample	s are Trustworthy: Towards Deep Robust SVP Prediction
Novel Approach to the Unsupervised Extraction of Reliable Training	sample	s From Thematic Products, A
Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training	sample	s, A
novel dictionary-based approach for missing	sample	recovery of signals in manifold, A
Novel Grid Collection and Management Model of Remote Sensing Change Detection	sample	s
Novel Kernel Discriminant Feature Extraction Framework Based on Mapped Virtual	sample	s for Face Recognition, A
Novel Land Cover Change Detection Deep Learning Framework with Very Small Initial	sample	s Using Heterogeneous Remote Sensing Images
Novel Radiometric Control Set	sample	Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images, A
Novel Subpixel Phase Correlation Method Using Singular Value Decomposition and Unified Random	sample	Consensus, A
Object categorization with sketch representation and generalized	sample	s
Object Tracking with Target and Background	sample	s
Occluded Appearance Modeling with	sample	Weighting for Human Pose Estimation
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier	sample	s
Offline signature verification with generated training	sample	s
OIC-MCE: A Practical Land Cover Mapping Approach for Limited	sample	s Based on Multiple Classifier Ensemble and Iterative Classification
On an alternative formulation of the Fisher criterion that overcomes the small	sample	problem
On better detecting and leveraging noisy	sample	s for learning with severe label noise
On dimensionality and	sample	size in statistical pattern classification
On Dimensionality,	sample	Size, Classification Error, and Complexity of Classification Algorithms in Pattern Recognition
On Fast	sample	Preselection for Speeding up Convolutional Neural Network Training
On feature selection protocols for very low-	sample	-size data
On Perfect Clustering of High Dimension, Low	sample	Size Data
On solving the face recognition problem with one training	sample	per subject
On Solving the Small	sample	Size Problem for Marginal Fisher Analysis
On the automatic quality assessment of annotated	sample	data for object extraction from remote sensing imagery
On the computation of distribution-free performance bounds: Application to small	sample	sizes in neuroimaging
On the Importance of Training Data	sample	Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping
On the Modeling of Small	sample	Distributions With Generalized Gaussian Density in a Maximum Likelihood Framework
On the Number of	sample	s Needed in Light Field Rendering with Constant-Depth Assumption
On the Small	sample	Performance of Boosted Classifiers
On the Small-	sample	Behavior of the Class-Sensitive Neural Network
On the Variability of the	sample	Covariance Matrix Under Complex Elliptical Distributions
On Using a Dissimilarity Representation Method to Solve the Small	sample	Size Problem for Face Recognition
On-line Chinese Character Recognition System for Overlapping	sample	s
On-Site Stability Assessment of Rubble Mound Breakwaters Using Unmanned Aerial Vehicle-Based Photogrammetry and Random	sample	Consensus
One-Shot GAN: Learning to Generate	sample	s from Single Images and Videos
Online Learning	sample	s and Adaptive Recovery for Robust RGB-T Tracking
Online Multi-Object Tracking via Robust Collaborative Model and	sample	Selection
Online Signature Verification Method Based on the Acceleration Signals of Handwriting	sample	s
Online structural learning with dense	sample	s and a weighting kernel
Online-adaptive classification and regression network with	sample	-efficient meta learning for long-term tracking
Open-Set Domain Adaptation Under Few Source-Domain Labeled	sample	s
OpenMix: Exploring Outlier	sample	s for Misclassification Detection
Optimal discriminant plane for a small number of	sample	s and design method of classifier on the plane
Optimal	sample	Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data, An
Optimal	sample	Size and Composition for Crop Classification with Sen2-Agri's Random Forest Classifier
Optimal watermark power and host	sample	s allocation under random gain attack
Optimization of	sample	s for Remote Sensing Estimation of Forest Aboveground Biomass at the Regional Scale
Optimized	sample	Selection in SVM Classification by Combining with DMSP-OLS, Landsat NDVI and GlobeLand30 Products for Extracting Urban Built-Up Areas
Orthogonal complement component analysis for positive	sample	s in SVM based relevance feedback image retrieval
OSLNet: Deep Small-	sample	Classification With an Orthogonal Softmax Layer
OSM Data-Driven Method for Road-Positive	sample	Creation, An
OTFace: Hard	sample	s Guided Optimal Transport Loss for Deep Face Representation
Out-of-bag estimation of the optimal	sample	size in bagging
Out-of-	sample	Embedding by Sparse Representation
Out-of-	sample	Embedding for Manifold Learning Applied to Face Recognition
Out-of-	sample	Extension for Dimensionality Reduction of Noisy Time Series
Out-of-	sample	Extension to Manifold Learning via Meta-Modeling, An
Out-of-	sample	Extrapolation of Learned Manifolds
Out-of-	sample	Generalizations for Supervised Manifold Learning for Classification
PAC learning with generalized	sample	s and an applicaiton to stochastic geometry
paired sparse representation model for robust face recognition from a single	sample	, A
Parameterization of the Individual Tree Detection Method Using Large Dataset from Ground	sample	Plots and Airborne Laser Scanning for Stands Inventory in Coniferous Forest
Parametric direction of arrival estimation in the small	sample	-size case
ParaUDA: Invariant Feature Learning With Auxiliary Synthetic	sample	s for Unsupervised Domain Adaptation
Partial Data Ear Recognition From One	sample	per Person
Particle Size-Frequency Distributions of the OSIRIS-REx Candidate	sample	Sites on Asteroid (101955) Bennu
Patch-Based Image Hallucination for Super Resolution With Detail Reconstruction From Similar	sample	Images
Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training	sample	s
Per-pixel land cover accuracy prediction: A random forest-based method with limited reference	sample	data
Per-	sample	Kernel Adaptation for Visual Recognition and Grouping
Per-	sample	Multiple Kernel Approach for Visual Concept Learning
Performance enhancement of HEVC lossless mode using	sample	-based angular and planar predictions
Performance Generalization in Biometric Authentication Using Joint User-Specific and	sample	Bootstraps
Performance of Vibro-Acoustography in Detecting Microcalcifications in Excised Human Breast Tissue: A Study of 74 Tissue	sample	s
Perturb-and-MAP random fields: Using discrete optimization to learn and	sample	from energy models
Picking Groups Instead of	sample	s: A Close Look at Static Pool-Based Meta-Active Learning
Pixel-wise Object Tracking Algorithm with Target and Background	sample	, A
Plant Leaf Identification via a Growing Convolution Neural Network with Progressive	sample	Learning
POCS-based Image Reconstruction from Irregularly-spaced	sample	s
PoGaIN: Poisson-Gaussian Image Noise Modeling From Paired	sample	s
Point	sample	s for efficient 3D processing and content creation
Polymorphic-GAN: Generating Aligned	sample	s across Multiple Domains with Learned Morph Maps
Population-guided large margin classifier for high-dimension low-	sample	-size problems
Pose independent object classification from small number of training	sample	s based on kernel principal component analysis of local parts
Positive	sample	Propagation along the Audio-Visual Event Line
Positive-	sample	-Free Object Tracking via a Soft Constraint
Postnatal gestational age estimation of newborns using Small	sample	Deep Learning
Pre-processing of a	sample	of multi-scene and multi-date Landsat imagery used to monitor forest cover changes over the tropics
Preceding vehicle recognition based on learning from	sample	images
Predicting the benefit of	sample	size extension in multiclass k-NN classification
Predicting the Required Number of Training	sample	s
Preflight Evaluation of the Environmental Trace Gases Monitoring Instrument with Nadir and Limb Modes (EMI-NL) Based on Measurements of Standard NO2	sample	Gas
Prime	sample	Attention in Object Detection
Probabilistic 3D Polyp Detection in CT Images: The Role of	sample	Alignment
Probability density estimation from optimally condensed data	sample	s
Probe transit effect in interferometry of fast moving	sample	s
Progressive generative adversarial networks with reliable	sample	identification
Progressive	sample	mining and representation learning for one-shot person re-identification
Progressive	sample	Processing of Band Selection for Hyperspectral Image Transmission
Projection into Expression Subspaces for Face Recognition from Single	sample	per Person
Propagation Regularizer for Semi-supervised Learning with Extremely Scarce Labeled	sample	s
Prototype Augmentation with Dummy	sample	s
Provably correct reconstruction of surfaces from sparse noisy	sample	s
Pruning rPPG Networks: Toward Small Dense Network with Limited Number of Training	sample	s
PSS: Progressive	sample	Selection for Open-World Visual Representation Learning
Psychological and environmental factors affecting driver's frequent lane-changing behaviour: a national	sample	of drivers in China
Qualifying fingerprint	sample	s captured by smartphone cameras
Quality Aware	sample	-to-Sample Comparison for Face Recognition, A
Quality Aware	sample	-to-Sample Comparison for Face Recognition, A
Quality of Training-	sample	Estimates of the Bhattacharyya Coefficient, The
Quantitative metric for MR brain tumour grade classification using	sample	space density measure of analytic intrinsic mode function representation
Radio-Frequency Current Density Imaging Based on a 180°	sample	Rotation With Feasibility Study of Full Current Density Vector Reconstruction
Rainbow Memory: Continual Learning with a Memory of Diverse	sample	s
Random Field Identification from a	sample	: Experimental Results
Random Forest Model and	sample	Explainer for Non-experts in Machine Learning: Two Case Studies
Random forest-based tuberculosis bacteria classification in images of ZN-stained sputum smear	sample	s
Random Matrix Theory-Based Reduced-Dimension Space-Time Adaptive Processing under Finite Training	sample	s
RANdom	sample	consensus (RANSAC) algorithm for enhancing overlapped etched track counting
Random	sample	Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography
Random	sample	Fitting Method to Determine the Planetary Boundary Layer Height Using Satellite-Based Lidar Backscatter Profiles
Random Sub-	sample	s Generation for Self-Supervised Real Image Denoising
Range-	sample	Depth Feature for Action Recognition
Ranking-Based Color Constancy With Limited Training	sample	s
RANSAC Matching Issues, Design, Evaluation, Related	sample	Matching
Rate Distortion Data Hiding of Motion Vector Competition Information in Chroma and Luma	sample	s for Video Compression
Re-energizing Domain Discriminator with	sample	Relabeling for Adversarial Domain Adaptation
Real-time 3D tracking using multiple	sample	points
Real-Time Face Detection and Recognition via Local Binary Pattern Plus	sample	Selective Biomimetic Pattern Recognition
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-	sample	Test-Time Adaptation
RealPatch: A Statistical Matching Framework for Model Patching with Real	sample	s
Recognition of expression variant faces from one	sample	image per enrolled subject
Recognition of Handwritten Chinese Characters by Combining Regularization, Fisher's Discriminant and Distorted	sample	Generation
Recognizing expression variant faces from a single	sample	image per class
Recognizing faces using Adaptively Weighted Sub-Gabor Array from a single	sample	image per enrolled subject
Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single	sample	per Class
Recognizing Partially Occluded Faces from a Single	sample	Per Class Using String-Based Matching
Reconstruction From Aperture-Filtered	sample	s With Application to Scatterometer Image Reconstruction
Reconstruction of periodic nonuniform	sample	s using Lagrange interpolation in time-interleaved ADCs
Reconstruction of Periodic Signals From Asynchronous Trains of	sample	s
Reconstruction of Recurring Pulses From Distribution of Short Sequences of	sample	s
Reduction of Feature Statistics Estimation Error for Small Training	sample	Size in Off-Line Signature Verification
Regional Forest Volume Estimation by Expanding LiDAR	sample	s Using Multi-Sensor Satellite Data
Registration of point clouds using	sample	-sphere and adaptive distance restriction
Regression Approaches to Small	sample	Inverse Covariance Matrix Estimation for Hyperspectral Image Classification
Regularization Strategy for Point Cloud via Rigidly Mixed	sample
Regularization studies of linear discriminant analysis in small	sample	size scenarios with application to face recognition
Regularized discriminant analysis for the small	sample	size problem in face recognition
Rehearsal revealed: The limits and merits of revisiting	sample	s in continual learning
Relational Discriminant Analysis and its Large	sample	Size Problem
Relationship Between Generalization Error and Training	sample	s in Kernel Regressors, A
Relative Value of Labeled and Unlabeled	sample	s in Pattern-Recognition with an Unknown Mixing Parameter, The
reliability of estimated confidence intervals for classification error rates when only a single	sample	is available, The
ReMarNet: Conjoint Relation and Margin Learning for Small-	sample	Image Classification
Remote Sensing Based Binary Classification of Maize. Dealing with Residual Autocorrelation in Sparse	sample	Situations
Representational Oriented Component Analysis (ROCA) for Face Recognition with One	sample	Image per Training Class
Research on Small	sample	Apple Defect Classification Method Based on Siamese Network
Restoring illumination and view dependent data from sparse	sample	s
Rethinking Batch	sample	Relationships for Data Representation: A Batch-Graph Transformer Based Approach
Rethinking Label Flipping Attack: From	sample	Masking to Sample Thresholding
Rethinking Label Flipping Attack: From	sample	Masking to Sample Thresholding
Rice Mapping in Training	sample	Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels
RLSAC: Reinforcement Learning enhanced	sample	Consensus for End-to-End Robust Estimation
Robust and efficient detection of non-lint material in cotton fiber	sample	s
Robust and	sample	-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles
Robust attention ranking architecture with frequency-domain transform to defend against adversarial	sample	s
Robust Audio Patch Attacks Using Physical	sample	Simulation and Adversarial Patch Noise Generation
Robust blurred face recognition using	sample	-wise kernel estimation and random compressed multi-scale local binary pattern histograms
Robust estimation for image noise based on eigenvalue distributions of large	sample	covariance matrices
Robust Estimation of Unbalanced Mixture Models on	sample	s with Outliers
Robust heterogeneous discriminative analysis for face recognition with single	sample	per person
Robust needle recognition using Artificial Neural Network (ANN) and Random	sample	Consensus (RANSAC)
Robust object tracking via deformation	sample	s generator
Robust pan-sharpening via color	sample	s relocation and edge aware interpolation
Robust Scale Estimation from Ensemble Inlier Sets for Random	sample	Consensus Methods
Robust Super-Resolution Using a Median Filter for Irregular	sample	s
Robust Time-Frequency Analysis of Multiple FM Signals With Burst Missing	sample	s
Robust video-based face recognition by sequential	sample	consensus
Robustness in statistical pattern recognition under contaminations of training	sample	s
Role of Synthetically Generated	sample	s on Speech Recognition in a Resource-Scarce Language
Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition With Limited Training	sample	s
Rotation XGBoost Based Method for Hyperspectral Image Classification with Limited Training	sample	s
Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training	sample	s
Runge-Kutta Guided Feature Augmentation for Few-	sample	Learning
Running Max/Min Filters Using 1+o(1) Comparisons per	sample
Russian Doll Network: Learning Nested Networks for	sample	-Adaptive Dynamic Inference
S2D2Net: An Improved Approach for Robust Steel Surface Defects Diagnosis With Small	sample	Learning
SA-LuT-Nets: Learning	sample	-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation
SAC-COT:	sample	Consensus by Sampling Compatibility Triangles in Graphs for 3-D Point Cloud Registration
SAFA:	sample	-Adaptive Feature Augmentation for Long-Tailed Image Classification
safe	sample	screening rule for Laplacian twin parametric-margin support vector machine, A
	sample	adaptive color space transform for screen content video coding
	sample	adaptive offset filter hardware design for HEVC encoder
	sample	adaptive offset in AVS2 video standard
	sample	Adaptive Offset in the HEVC Standard
	sample	Adaptive Offset Optimization in HEVC
	sample	and Filter: Nonparametric Scene Parsing via Efficient Filtering
	sample	and Pixel Weighting Strategies for Robust Incremental Visual Tracking
	sample	complexity of rank regression using pairwise comparisons
	sample	Complexity of Total Variation Minimization
	sample	diversity selection strategy based on label distribution morphology for active label distribution learning
	sample	Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings
	sample	Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition
	sample	Generation with Self-Attention Generative Adversarial Adaptation Network (SaGAAN) for Hyperspectral Image Classification
	sample	imbalance disease classification model based on association rule feature selection
	sample	Normalization Algorithm of Neural Network Based on Fuzzy Rough Set Theory
	sample	Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data
	sample	Pre-mapping Method Enhancing Boosting for Object Detection, A
	sample	reconstruction with deep autoencoder for one sample per person face recognition
	sample	reconstruction with deep autoencoder for one sample per person face recognition
	sample	reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD)
	sample	Selection Approach with Number of False Predictions for Learning with Noisy Labels
	sample	selection for visual domain adaptation via sparse coding
	sample	Selection in Textured Images
	sample	set perspective on the classification of hyperspectral image with weighted affine constraint, A
	sample	size estimation using the receiver operating characteristic curve
	sample	Size for Maximum Likelihood Estimates of Gaussian Model
	sample	size for maximum-likelihood estimates of Gaussian model depending on dimensionality of pattern space
	sample	Sufficiency and PCA Dimension for Statistical Shape Models
	sample	Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition, The
	sample	Weighting with Hierarchical Equalization Loss for Dense Object Detection
	sample	-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
	sample	-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis
	sample	-aware Data Augmentor for Scene Text Recognition
	sample	-Based 3D Tracking of Colored Objects: A Flexible Architecture
	sample	-Based Forest Monitoring Strategy Using Landsat, AVHRR and MODIS Data to Estimate Gross Forest Cover Loss in Malaysia between 1990 and 2005, A
	sample	-Based Image Completion Using Structure Synthesis
	sample	-based regularization for support vector machine classification
	sample	-based Synthesis of Talking Heads
	sample	-based Weighted Prediction for lossless enhancement layer coding in SHVC
	sample	-Centric Feature Generation for Semi-Supervised Few-Shot Learning
	sample	-Dependent Distance for 1: N Identification via Discriminative Feature Selection
	sample	-Dependent Feature Selection for Faster Document Image Categorization
	sample	-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search
	sample	-Efficient Optimization Using Bayesian Neural Networks
	sample	-free white-box out-of-distribution detection for deep learning
	sample	-Guided Progressive Image Coding
	sample	-level Multi-view Graph Clustering
	sample	-proxy dual triplet loss function for object re-identification, A
	sample	-size adaptive self-organization map for color images quantization
	sample	-Sort Simulated Annealing
	sample	-Specific Late Fusion for Visual Category Recognition
	sample	-Specific SVM Learning for Person Re-identification
	sample	-wise Label Confidence Incorporation for Learning with Noisy Labels
	sample	s Classification Analysis Across DNN Layers with Fractal Curves
	sample	s with Low Loss Curvature Improve Data Efficiency
SAR Image Quality Assessment: From	sample	-Wise to Class-Wise
SAR Target Classification Based on	sample	Spectral Regularization
Scalable out-of-	sample	extension of graph embeddings using deep neural networks
Scfnet: A Spatial-channel Features Network Based on Heterocentric	sample	Loss for Visible-infrared Person Re-identification
Searching in Video Collections Using Sketches and	sample	Images: The Cineast System
Secure and Practical	sample	-then-lock Scheme for Iris Recognition, A
Security Assessment of Selectively Encrypted Visual Data: Iris Recognition on Protected	sample	s
Segmentation and Identification of Small Intestinal Lesions Based on U-Net with Batch Normalization and Virtual	sample
Segmentation of Tubular Structures Using Iterative Training with Tailored	sample	s
Select eigenfaces for face recognition with one training	sample	per subject
Select Informative	sample	s for Night-Time Vehicle Detection Benchmark in Urban Scenes
Selection of negative	sample	s and two-stage combination of multiple features for action detection in thousands of videos
Self-Filtering: A Noise-Aware	sample	Selection for Label Noise with Confidence Penalization
Self-Labeling Framework for Open-Set Domain Adaptation With Few Labeled	sample	s
Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier	sample	s, A
Semantic-Layout-Guided Image Synthesis for High-Quality Synthetic-Aperature Radar Detection	sample	Generation
Semi-automatic annotation	sample	s for vehicle type classification in urban environments
Semi-automatic Annotation Scheme for Bangla Online Mixed Cursive Handwriting	sample	s, A
Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis of 3D Biological	sample	s
Semi-Automatic Generation of Training	sample	s for Detecting Renewable Energy Plants in High-Resolution Aerial Images
Semi-automatic identification of print layers from a sequence of	sample	images: A case study from banknote print inspection
Semi-self-supervised Learning Approach for Wheat Head Detection using Extremely Small Number of Labeled	sample	s, A
Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy	sample	Selection
Semi-Supervised Discriminative Classification Robust to	sample	-Outliers and Feature-Noises
Semi-supervised Domain Adaptation via	sample	-to-Sample Self-Distillation
Semi-supervised Domain Adaptation via	sample	-to-Sample Self-Distillation
Semi-Supervised Fine-Grained Classification with Web Data via Noisy	sample	Selection
Semi-supervised hyperspectral classification from a small number of training	sample	s using a co-training approach
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support	sample	s
Semi-supervised learning using adversarial training with good and bad	sample	s
Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled	sample	s
Sensitive-	sample	Fingerprinting of Deep Neural Networks
Separation of Multicomponent Micro-Doppler Signal with Missing	sample	s
Sequential	sample	Consensus: A Robust Algorithm for Video-Based Face Recognition
sigma-lognormal model-based approach to generating large synthetic online handwriting	sample	databases, A
Signal Timing Estimation Using	sample	Intersection Travel Times
Similarity mapping for robust face recognition via a single training	sample	per person
Similarity Scores Based on Background	sample	s
Simple	sample	Consensus Algorithm to Find Multiple Models, A
simple strategy for detecting outlier	sample	s in microarray data, A
Simultaneous data volume reconstruction and pose estimation from slice	sample	s
simultaneous	sample	-and-filter strategy for robust multi-structure model fitting, A
Simultaneous visualization of	sample	s, features and multi-labels
Single	sample	description based on Gabor fusion
Single	sample	Face Recognition by Sparse Recovery of Deep-Learned LDA Features
Single	sample	Face Recognition Under Varying Illumination via QRCP Decomposition
Single	sample	per person face recognition algorithm based on the robust prototype dictionary and robust variation dictionary construction
Single	sample	per person face recognition with KPCANet and a weighted voting scheme
Single-	sample	face recognition under varying lighting conditions based on logarithmic total variation
Single-	sample	Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer
Singular Value Decomposition Projection for solving the small	sample	size problem in face recognition
Small	sample	Deep Learning for Newborn Gestational Age Estimation
Small	sample	Error Rate Estimation for K-NN Classifiers
Small	sample	Hyperspectral Image Classification Based on Cascade Fusion of Mixed Spatial-Spectral Features and Second-Order Pooling
Small	sample	Image Recognition Using Improved Convolutional Neural Network
Small	sample	Learning during Multimedia Retrieval Using BiasMap
Small	sample	scene categorization from perceptual relations
Small	sample	Size Effects in Statistical Pattern Recognition: Recommendations for Practitioners
Small	sample	size effects in statistical pattern recognition: recommendations for practitioners and open problems
Small	sample	size effects in the use of editing techniques
Small	sample	Size Performance of Evolutionary Algorithms for Adaptive Image Retrieval
small	sample	size problem of ICA: A comparative study and analysis, The
Small	sample	Sizes Issues, Data analysis, Training Sets
Small-	sample	Seabed Sediment Classification Based on Deep Learning
Snowball: Iterative Model Evolution and Confident	sample	Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
Solving the small	sample	size problem in face recognition using generalized discriminant analysis
Solving the small	sample	size problem of LDAf
Some asymptotic results on the effect of autocorrelation on the error rates of the	sample	linear discriminant function
Some procedures for function approximation based on the use of	sample	data and their application in heuristic methods for solving practical problems
Sparse discriminative multi-manifold embedding for one-	sample	face identification
Sparse Illumination Learning and Transfer for Single-	sample	Face Recognition with Image Corruption and Misalignment
Sparse representation and adaptive mixed	sample	s regression for single image super-resolution
Sparse Representation Based Face Recognition with Limited Labeled	sample	s
Sparse Representation-Based	sample	Pseudo-Labeling Method for Hyperspectral Image Classification, A
sparse	sample	collection and representation method using re-weighting and dynamically updating OMP for fish tracking, A
Sparse Variation Dictionary Learning for Face Recognition with a Single Training	sample	per Person
Spartans: Single-	sample	Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios
Spatial correlation features for SAR images in a small	sample	size context
Spatiotemporally Mapping Non-Grain Production of Winter Wheat Using a Developed Auto-Generating	sample	Algorithm on Google Earth Engine
Specialist Diffusion: Plug-and-Play	sample	-Efficient Fine-Tuning of Text-to-Image Diffusion Models to Learn Any Unseen Style
Specific Emitter Identification Algorithm under Zero	sample	Condition Based on Metric Learning, A
Spectral Transmittance of a Translucent Sand	sample	With Directional Illumination
Spoken language identification in unseen channel conditions using modified within-	sample	similarity loss
SSOCBT: A Robust Semisupervised Online CovBoost Tracker That Uses	sample	s Differently
SSPP-DAN: Deep domain adaptation network for face recognition with single	sample	per person
Stability of	sample	-Based Scanning-LiDAR-Derived Vegetation Metrics for Forest Monitoring
Stabilizing Classifiers for Very Small	sample	Sizes
StableNet: Distinguishing the hard	sample	s to overcome language priors in visual question answering
Standardization of Face Image	sample	Quality
Star-Discriminative dictionary learning algorithm based on	sample	diversity and locality of atoms for face recognition
StaRSaC: Stable random	sample	consensus for parameter estimation
Statistical Methods for Thematic-Accuracy Quality Control Based on an Accurate Reference	sample
Stereo matching-based definition of saliency via	sample	-based Kullback-Leibler divergence estimation
Stimulus Sampling With 360-Videos: Examining Head Movements, Arousal, Presence, Simulator Sickness, and Preference on a Large	sample	of Participants and Videos
Structure-Constrained Low-Rank and Partial Sparse Representation with	sample	Selection for image classification
StructVPR: Distill Structural Knowledge with Weighting	sample	s for Visual Place Recognition
Study of automatic prediction of emotion from handwriting	sample	s
study of regularized Gaussian classifier in high-dimension small	sample	set case based on MDL principle with application to spectrum recognition, A
Study of the influence of Age: Use of	sample	Entropy and CEEMDAN on Navigation Data Acquired from a Bike Simulator
Study on Acceptable Color Difference Using Printed	sample	s
study on three linear discriminant analysis based methods in small	sample	size problem, A
Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small	sample	Size Settings
sub-pixel image registration algorithm based on SURF and M-estimator	sample	consensus, A
Subclass representation-based face-recognition algorithm derived from the structure scatter of training	sample	s
Subspace manifold learning with	sample	weights
Summarization and Classification of Wearable Camera Streams by Learning the Distributions over Deep Features of Out-of-	sample	Image Sequences
Super-Resolution 3D Reconstruction of Thick Biological	sample	s: A Computer Vision Perspective
Super-Resolution Enhanced Medical Image Diagnosis With	sample	Affinity Interaction
Superpixel Guided	sample	Selection Neural Network for Handling Noisy Labels in Hyperspectral Image Classification, A
Suppressing Biased	sample	s for Robust VQA
survey on machine learning from few	sample	s, A
Synthetic	sample	Selection for Generalized Zero-Shot Learning
T Index: Measuring the Reliability of Accuracy Estimates Obtained from Non-Probability	sample	s, The
Tailored Features for Semantic Segmentation with A DGCNN Using Free Training	sample	s of A Colored Airborne Point Cloud
Techniques for the Interpretation of Thermal Paint Coated	sample	s
Tensor completion via convolutional sparse coding with small	sample	s-based training
Test	sample	Selection for Handwriting Recognition Through Language Modeling
Text Recognition in Real Scenarios with a Few Labeled	sample	s
Theoretical-Empirical Approach to Estimating	sample	Complexity of DNNs, A
Three-Player GAN: Generating Hard	sample	s to Improve Classification Networks, A
Three-Stage Framework with Reliable	sample	Pool for Long-Tailed Classification, A
Tiled Blue Noise	sample	s
Time	sample	s selection in spiral acquisition for sparse magnetic resonance spectroscopic imaging
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled	sample	s
TOCSAC: TOpology Constraint	sample	Consensus for Fast and Reliable Feature Correspondence
Topographic Mapping with Manipulator Arm Camera In Lunar	sample	Return Mission
Topologically Correct 3D Surface Reconstruction and Segmentation from Noisy	sample	s
Toward a More Representative Monitoring of Land-Use and Land-Cover Dynamics: The Use of a	sample	-Based Assessment through Augmented Visual Interpretation Using Open Foris Collect Earth
Toward Efficient Acquisition of BRDFs with Fewer	sample	s
Toward estimation of map accuracy without a probability test	sample
Towards Discovering the Effectiveness of Moderately Confident	sample	s for Semi-Supervised Learning
Towards Human-Machine Cooperation: Self-Supervised	sample	Mining for Object Detection
Tracking Historical Wetland Changes in the China Side of the Amur River Basin Based on Landsat Imagery and Training	sample	s Migration
Tracking Multiple Mouse Contours (without Too Many	sample	s)
Training of classifiers using virtual	sample	s only
Training	sample	Migration Method for Wetland Mapping and Monitoring Using Sentinel Data in Google Earth Engine, A
Training	sample	selection for deep learning of distributed data
Training Set Size,	sample	Size, Analysis, Selection
Training TSVM with the proper number of positive	sample	s
Training with positive and negative data	sample	s: Effects on a classifier for hand-drawn geometric shapes
Transfer and Association: A Novel Detection Method for Targets without Prior Homogeneous	sample	s
TransHSI: A Hybrid CNN-Transformer Method for Disjoint	sample	-Based Hyperspectral Image Classification
Treat	sample	s differently: Object tracking with semi-supervised online CovBoost
Triple local feature based collaborative representation for face recognition with single	sample	per person
Turbo Coding for	sample	-level Watermarking in the DCT Domain
Two-Phase Test	sample	Sparse Representation Method for Use With Face Recognition, A
Two-Phase Weighted Collaborative Representation for 3D partial face recognition with single	sample	, A
two-	sample	test for statistical comparisons of shape populations, A
Two-Stage Block-Based Whitened Principal Component Analysis with Application to Single	sample	Face Recognition
Two-Step Methodology for Human Pose Estimation Increasing the Accuracy and Reducing the Amount of Learning	sample	s Dramatically, A
Unbalanced Datasets, Imbalanced	sample	Sizes, Imbalanced Data, Long-Tailed Data
Uncertainty Estimation and	sample	Selection for Crowd Counting
unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using	sample	-driven active shape models, A
Universal Lower Bound for Finite-	sample	Reconstruction Error and Its Relation to Prolate Spheroidal Functions
Unlabeled	sample	s Generated by GAN Improve the Person Re-identification Baseline in Vitro
Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source	sample	s
Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small	sample	set Classification
Unsupervised moving object segmentation using background subtraction and optimal adversarial noise	sample	search
Unsupervised person re-identification via re-ranking enhanced	sample	-specific metric learning
USAC: A Universal Framework for Random	sample	Consensus
USDN: A Unified	sample	-wise Dynamic Network with Mixed-Precision and Early-Exit
Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest	sample	Plots, The
Use of Bootstrap	sample	s in Quadratic Classifier Design
Using Meta Labels for the Training of Weighting Models in a	sample	-Specific Late Fusion Classification Architecture
Using Permutation Tests to Study How the Dimensionality, the Number of Classes, and the Number of	sample	s Affect Classification Analysis
Using the original and symmetrical face training	sample	s to perform representation based two-step face recognition
Using Training	sample	s Retrieved from a Topographic Map and Unsupervised Segmentation for the Classification of Airborne Laser Scanning Data
Utilization of Noise-Only	sample	s in Array Processing With Prior Knowledge
Utilization of synthetic minority oversampling technique for improving potato yield prediction using remote sensing data and machine learning algorithms with small	sample	size of yield data
Utilizing CNNs for Cryptanalysis of Selective Biometric Face	sample	Encryption
Utilizing Related	sample	s to Enhance Interactive Concept-Based Video Search
Utilizing related	sample	s to learn complex queries in interactive concept-based video search
Validating a Biometric Authentication System:	sample	Size Requirements
Variational Approach to Recovering a Manifold from	sample	Points, A
Variational Feature Representation-based Classification for face recognition with single	sample	per person
Variational Image Reconstruction From Arbitrarily Spaced	sample	s: A Fast Multiresolution Spline Solution
Vectorisation of Sketched Drawings Using Co-occurring	sample	Circles
Video aesthetic quality assessment using kernel Support Vector Machine with isotropic Gaussian	sample	uncertainty (KSVM-IGSU)
Video Event Detection Using Kernel Support Vector Machine with Isotropic Gaussian	sample	Uncertainty (KSVM-iGSU)
View Reconstruction by Linear Combination of	sample	Views
Viewpoint Determination of Image by Interpolation over Sparse	sample	s
Virtual	sample	Generation for Template-Based Shape Matching
Virtual	sample	-based deep metric learning using discriminant analysis
Virtual	sample	s and sparse representation-based classification algorithm for face recognition
Virtual Training	sample	Generation by Generative Adversarial Networks for Hyperspectral Images Classification
Visual aesthetic understanding:	sample	-specific aesthetic classification and deep activation map visualization
Visual object tracking via	sample	-based Adaptive Sparse Representation (AdaSR)
Visual Object Tracking with Online	sample	Selection Via LASSO Regularization
Visual Relationship Classification With Negative-	sample	Mining
VSE-fs: Fast Full-	sample	Visual Semantic Embedding
Water Multi-Parameter Sampling Design Method Based on Adaptive	sample	Points Fusion in Weighted Space
Weak feature size and persistent homology: Computing homology of solids in Rn from noisy data	sample	s
Weakly supervised label distribution learning based on transductive matrix completion with	sample	correlations
Weighted BDPCA Based on Local Feature for Face Recognition with a Single Training	sample
Weighted Color and Texture	sample	Selection for Image Matting
Weighted SVM with classification uncertainty for small training	sample	s
Weighted-	sample	-Based Random Vector Generation algorithm for resampling, A
WeSamBE: A Weight-	sample	-Based Method for Background Subtraction
Wheat Yield Prediction Using Unmanned Aerial Vehicle RGB-Imagery-Based Convolutional Neural Network and Limited Training	sample	s
Withdrawn: Through wall human detection under small	sample	s based on deep learning algorithm
X-rays image analysis for defects detection and characterization in metallic	sample	s
Zero-Shot Learning With Transferred	sample	s

1160 for sample

_	sample4geo	_
	sample4geo	: Hard Negative Sampling For Cross-View Geo-Localisation

_	sampleboost	_
	sampleboost	: Improving boosting performance by destabilizing weak learners based on weighted error analysis

_	sampled	_
2D-3D Rigid Registration of X-Ray Fluoroscopy and CT Images Using Mutual Information and Sparsely	sampled	Histogram Estimators
Acoustic Source Localization Using a Geometrically	sampled	Grid SRP-PHAT Algorithm With Max-Pooling Operation
Adaptive Detection in Elliptically Distributed Noise and Under-	sampled	Scenario
Adaptive variational sinogram interpolation of sparsely	sampled	CT data
Algebraic Nonuniformity Correction Algorithm for Hexagonally-	sampled	Infrared Images: A Simulation Study, An
Analysis of Moire Patterns in Non-Uniformly	sampled	Halftones
Apodization functions for 2-d hexagonally	sampled	synthetic aperture imaging radiometers
Application of the Singular Value Method and Signal Sub-Space Methods to	sampled	Radar Images
Approximate Representation of the Fourier Spectra of Irregularly	sampled	Multidimensional Functions: A Cost-Effective, Memory-Saving Algorithm, An
Assorted Pixels: Multi-	sampled	Imaging with Structural Models
Augmentation of CBCT Reconstructed From Under-	sampled	Projections Using Deep Learning
Automated Large Scale Parameter Extraction of Road-Side Trees	sampled	by a Laser Mobile Mapping System
Background Estimation and Adaptation Model with Light-Change Removal for Heavily Down-	sampled	Video Surveillance Signals
Bayesian High Resolution Range Profile Reconstruction of High-Speed Moving Target from Under-	sampled	Data
Benefiting from Bicubically Down-	sampled	Images for Learning Real-World Image Super-Resolution
Bessel Functions-Based Reconstruction of Non-Uniformly	sampled	Diffraction Fields
Binary Morphology: Working in the	sampled	Domain
BOLD Contrast and Noise Characteristics of Densely	sampled	Multi-Echo fMRI Data
Brain Tumor Classification using Under-	sampled	k-Space Data: A Deep Learning Approach
Classifying non-uniformly	sampled	vector-valued curves
CNES CLS 2022 Mean Sea Surface: Short Wavelength Improvements from CryoSat-2 and SARAL/AltiKa High-	sampled	Altimeter Data, The
Combining Densely	sampled	Form and Motion for Human Action Recognition
Comments on Randomly	sampled	Non Local Means Image Filter
Compactly Supported Non-Uniform Spline Wavelet for Irregularly Sub-	sampled	Image Representation
Compensated Convexity Methods for Approximations and Interpolations of	sampled	Functions in Euclidean Spaces: Applications to Contour Lines, Sparse Data, and Inpainting
Compressively	sampled	light field reconstruction using orthogonal frequency selection and refinement
Consistent Estimation of Randomly	sampled	Ornstein-Uhlenbeck Process Long-Run Mean for Long-Term Target State Prediction
Continuous model of irregular	sampled	data using multilevel B-splines
Cooperative Spacing	sampled	Control of Vehicle Platoon Considering Undirected Topology and Analog Fading Networks
Critically	sampled	Wavelets With Composite Dilations
Cumulative Flow Diagram Estimation and Prediction Based on	sampled	Vehicle Trajectories at Signalized Intersections
Data Compression and Enhancement of	sampled	Images
Data management for rotated	sampled	images
Data-driven assimilation of irregularly-	sampled	image time series
Deblurring of irregularly	sampled	images by TV regularization in a spline space
Demosaicking of Noisy Bayer-	sampled	Color Images With Least-Squares Luma-Chroma Demultiplexing and Noise Level Estimation
Depth range of a 3D image	sampled	by a lens array with the integral method
Derived Observations From Frequently	sampled	Microwave Measurements of Precipitation. Part II: Sensitivity to Atmospheric Variables and Instrument Parameters
Derived Observations From Frequently	sampled	Microwave Measurements of Precipitation: Part I: Relations to Atmospheric Thermodynamics
Detail-generating geometry completion for point-	sampled	geometry
Direct Encoding for	sampled	Color Pictures with Location Consideration
Dissipative	sampled	-Data Control for High-Speed Train Systems With Quantized Measurements
Distance Transforms of	sampled	Functions
Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly	sampled	Data
Dynamically-	sampled	Bivariate Empirical Mode Decomposition
easy viewer for out-of-core visualization of huge point-	sampled	models, An
Edge-Aware Extended Star-Tetrix Transforms for CFA-	sampled	Raw Camera Image Compression
Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly	sampled	Histograms, An
Efficient B-Mode Ultrasound Image Reconstruction From Sub-	sampled	RF Data Using Deep Learning
Efficient Image Denoising by MRF Approximation with Uniform-	sampled	Multi-spanning-tree
Efficient Implementation of RBF-Based Progressive Point-	sampled	Geometry, An
Efficient Progressive Coding Method for Arbitrarily-	sampled	Image Data, An
Efficient Reconstruction of Hexagonally	sampled	Data using Three-Directional Box-Splines
Efficient scalable compression of sparsely	sampled	images
Efficient triangulation of Poisson-disk	sampled	point sets
Enhancement Layer Coding for Chroma Sub-	sampled	Screen Content Video
Estimation Models for Nonuniformly	sampled	Signals: Application to Multiple Delay Estimation
Estimation of curvature from	sampled	noisy data
Evaluation of Interactive Segmentation Algorithms Using Densely	sampled	Correct Interactions
Evolutionary Search via channel attention based parameter inheritance and stochastic uniform	sampled	training
Exact Linear Time Euclidean Distance Transforms of Grid Line	sampled	Shapes
Exemplar-Based Interpolation of Sparsely	sampled	Images
Exploring GPU- and Cluster-Based Improvements for Over-	sampled	Volume Ray Casting Opacity Correction
Fast Fourier Method for the Accurate Rotation of	sampled	Images
Fast Global Registration of 3D	sampled	Surfaces Using a Mini-Buffer Technique
Fast global registration of 3D	sampled	surfaces using a multi-z-buffer technique
Fast Unsupervised MRI Reconstruction Without Fully-	sampled	Ground Truth Data Using Generative Adversarial Networks
Fast: Flow-Assisted Shearlet Transform for Densely-	sampled	Light Field Reconstruction
Feature-Level and Decision-Level Fusion of Noncoincidently	sampled	Sensors for Land Mine Detection
Filtering of Nonuniformly	sampled	Bandlimited Functions
First Order Optic Flow from Log-Polar	sampled	Images
Frequency-Domain Methods for Demosaicking of Bayer-	sampled	Color Images
Generation of cancellable locality	sampled	codes from facial images
Geodesic Gramian denoising applied to the images contaminated with noise	sampled	from diverse probability distributions
Geometric Validation of Continuous, Finely	sampled	3-D Reconstructions From aOCT and CT in Upper Airway Models
GLIM-Net: Chronic Glaucoma Forecast Transformer for Irregularly	sampled	Sequential Fundus Images
Global motion estimation from coarsely	sampled	motion vector field and the applications
Graph cut segmentation of sparsely	sampled	images with application to InSAR-measured changes in elevation
High Resolution Tracking of Non-Rigid 3D Motion of Densely	sampled	Data Using Harmonic Maps
High Resolution Tracking of Non-Rigid Motion of Densely	sampled	3D Data Using Harmonic Maps
How to Estimate Global Motion Non-Iteratively From a Coarsely	sampled	Motion Vector Field
Illumination Invariant Detection of Multicolored Object Using	sampled	Spectrum Image
Image Classification With Densely	sampled	Image Windows and Generalized Adaptive Multiple Kernel Learning
Image guided reconstruction of un-	sampled	data: A coherent filling for uncomplete Cultural Heritage models
Image Guided Reconstruction of Un-	sampled	Data: A Filling Technique for Cultural Heritage Models
Image up-sampling using deep cascaded neural networks in dual domains for images down-	sampled	in DCT domain
Improved motion segmentation using Locally	sampled	Subspaces
Improved MR image reconstruction from sparsely	sampled	scans based on neural networks
Improving a Single Down-	sampled	Image Using Probability-Filtering-Based Interpolation and Improved Poisson Maximum A Posteriori Super-Resolution
Improving Blood Vessel Tortuosity Measurements via Highly	sampled	Numerical Integration of the Frenet-Serret Equations
Improving	sampled	Probability Distributions for Markov Random Fields
Information-theoretic assessment of	sampled	hyperspectral imagers
Integrating Moving Edge Information along a 2-D Trajectory in Densely	sampled	Imagery
Integration of a haptic rendering algorithm based on voxelized and point-	sampled	structures into the physics engine Bullet
Interpolation and parallel adjustment of center-	sampled	trees with new balancing constraints
Inverting for Maritime Environments Using Proper Orthogonal Bases From Sparsely	sampled	Electromagnetic Propagation Data
Irregularly	sampled	Seismic Data Reconstruction Using Multiscale Multidirectional Adaptive Prediction-Error Filter
Is Uniqueness Lost for Under-	sampled	Continuous-Time Auto-Regressive Processes?
Iterative Double Laplacian-Scaled Low-Rank Optimization for Under-	sampled	and Noisy Signal Recovery
Iterative	sampled	Methods for Massive and Separable Nonlinear Inverse Problems
Joint Approach to Global Motion Estimation and Motion Segmentation From a Coarsely	sampled	Motion Vector Field, A
Kernel Correlation as an Affinity Measure in Point-	sampled	Vision Problems
Large-Scale Fiber Tracking Through Sparsely	sampled	Image Sequences of Composite Materials
LaWeCo: Active region detection in non-uniformly	sampled	data using Laplacian-weighted covariance
Learning Shapes on Image	sampled	Points with Dynamic Graph CNNs
Linear shift-variant filtering for POCS reconstruction of irregularly	sampled	images
Lip Reading Based on	sampled	Active Contour Model
Local two-channel critically	sampled	filter-banks on graphs
Locally-adapted convolution-based super-resolution of irregularly-	sampled	ocean remote sensing data
Long-Term Record of	sampled	Disturbances in Northern Eurasian Boreal Forest from Pre-2000 Landsat Data
Lossless compression of CFA	sampled	image using decorrelated Mallat wavelet packet decomposition
Lossless Compression of CFA-	sampled	Images Using YDGCOCG Transforms with CDF Wavelets
M-Channel Critically	sampled	Spectral Graph Filter Banks With Symmetric Structure
Map matching with Hidden Markov Model on	sampled	road network
Mathematical Morphology on Irregularly	sampled	Signals
Maximum-Entropy Image-Reconstruction from Sparsely	sampled	Coherent Field Data
Method for detecting transitions in	sampled	digital video sequences
Method for the encoding of data for assistance in the reconstruction of a sub-	sampled	moving electronic image
Modeling of Sparsely	sampled	Tubular Surfaces Using Coupled Curves
Modified Method of State-Estimator Designing for Non-Uniformly	sampled	System, A
modified POCS-based reconstruction method for compressively	sampled	MR imaging, A
Morphological Changes Along A Dike Landside Slope	sampled	By 4d High Resolution Terrestrial Laser Scanning
Motion compensation using critically	sampled	DWT subbands for low-bitrate video coding
Motion Estimation Based on Time-Sequentially	sampled	Imagery
Multi-dimensional low rank plus sparse decomposition for reconstruction of under-	sampled	dynamic MRI
Multi-task learning with over-	sampled	time-series representation of a trajectory for traffic motion pattern recognition
Multitarget Tracking for Multiple Lagrangian Plants With Input-to-Output Redundancy and	sampled	-Data Interactions
NEATER: Filtering of Over-	sampled	Data Using Non-cooperative Game Theory
new approach to mathematical morphology on one dimensional	sampled	signals, A
new approach to the interpolation of	sampled	data, A
Non-Uniformly	sampled	Feature Extraction Method for Kanji Character Recognition
non-uniformly	sampled	Markov random field model for MAP reconstruction of magnetoencephalogram images, A
Normalized Averaging Using Adaptive Applicability Functions with Applications in Image Reconstruction from Sparsely and Randomly	sampled	Data
Novel Consistency Check for Fast Recursive Reconstruction of Non-Regularly	sampled	Video Data
novel design of criticially	sampled	contourlet transform and its application to image coding, A
OBD-Data-Assisted Cost-Based Map-Matching Algorithm for Low-	sampled	Telematics Data in Urban Environments
On the estimation of geodesic paths on	sampled	manifolds under random projections
On The Evaluation Of Progressive Point-	sampled	Geometry
On Translation Invariant Subspaces and Critically	sampled	Wavelet Transforms
On-Line Handwritten Character Pattern Database	sampled	in a Sequence of Sentences without Any Writing Instructions
Optimal weighted model-based bit allocation for quincunx	sampled	images
Over-	sampled	and under-sampled Pre/post-filters for block DCT coders
Over-	sampled	and under-sampled Pre/post-filters for block DCT coders
Pattern Recognition and Visualization of Sparsely	sampled	Biomedical Signals
Phase congruency analysis of down-	sampled	and blurring images for foreground extraction
Point-	sampled	3D video of real-world scenes
Predicting range performance of	sampled	imagers by treating aliased signal as target-dependent noise Open Access open access
Quasi-Interpolating Spline Models for Hexagonally-	sampled	Data
Radiometry Propagation to Large 3D Point Clouds from Sparsely	sampled	Ground Truth
Reconstruction of compressively	sampled	light fields using a weighted 4D-DCT basis
Reconstruction of compressively	sampled	texture images in the graph-based transform domain
Reconstruction of compressively	sampled	ultrasound images using dual prior information
Reconstruction of irregularly-	sampled	images by regularization in spline spaces
Reconstruction of Irregularly-	sampled	Volumetric Data in Efficient Box Spline Spaces
Reconstruction of Large, Irregularly	sampled	Multidimensional Images. A Tensor-Based Approach
Reconstruction of Nonuniformly	sampled	Images in Spline Spaces
Region-Based Descriptor Network for Uniformly	sampled	Keypoints, A
Registration of under-	sampled	images via higher resolution spectrum restoration
Regularization by denoising sub-	sampled	Newton method for spectral CT multi-material decomposition
Regularization of Incompletely, Irregularly and Randomly	sampled	Data
Representation of High Resolution Images from Low	sampled	Fourier Data: Applications to Dynamic MRI
Retrieval of Sediment Fill Factor by Inversion of a Modified Hapke Model Applied to	sampled	HCRF from Airborne and Satellite Imagery
Reversible data hiding exploiting spatial correlation between sub-	sampled	images
review of wave-net identical learning and filling-in in a decomposition space of (JPG-JPEG)	sampled	images, A
Robust disparity estimation on sparse	sampled	light field images
Robust Fusion of Irregularly	sampled	Data Using Adaptive Normalized Convolution
Robust	sampled	-data control of nonlinear output feedback systems
Rotational flows for interpolation between	sampled	surfaces
	sampled	medial loci and boundary differential geometry
	sampled	medial loci for 3D shape representation
	sampled	Trajectory Data-Driven Method of Cycle-Based Volume Estimation for Signalized Intersections by Hybridizing Shockwave Theory and Probability Distribution
	sampled	Weighted Min-Hashing for Large-Scale Topic Mining
	sampled	-Data Control for Connected Vehicles With Markovian Switching Topologies and Communication Delay
	sampled	-Data Cooperative Adaptive Cruise Control of Vehicles With Sensor Failures
	sampled	-Data H- Filtering for Robust Kinematics Estimation: Applications to Biomechanics-Based Cardiac Image Analysis
scalable and efficient method for salient region detection using	sampled	template collation, A
Scalable structure from motion for densely	sampled	videos
Scale selection for classification of point-	sampled	3D surfaces
Scale Selection for the Analysis of Point	sampled	Curves: Extended Report
Scale Selection for the Analysis of Point-	sampled	Curves
Scene Representation Using the Adjacency Matrix and	sampled	Shapes of Regions
Segmenting point-	sampled	surfaces
Semi-Supervised Learning of MRI Synthesis Without Fully-	sampled	Ground Truths
Simplification of Fan-Meshes Models for Fast Rendering of Large 3D Point-	sampled	Scenes
Simplification of point-	sampled	geometry with feature preservation
Simulation of microlens array based plenoptic capture utilizing densely	sampled	light field
Simultaneous Reconstruction and Moving Object Detection From Compressive	sampled	Surveillance Videos
Sparse Inversion for the Iterative Marchenko Scheme of Irregularly	sampled	Data
Spectral representation of irregularly	sampled	radar image sequences
Spline-based feature curves from point-	sampled	geometry
SPURS Algorithm for Resampling an Irregularly	sampled	Signal onto a Cartesian Grid, The
SSCFormer: Push the Limit of Chunk-Wise Conformer for Streaming ASR Using Sequentially	sampled	Chunks and Chunked Causal Convolution
Steerable kernels for arbitrarily-	sampled	spaces
Stochastic visibility in point-	sampled	scenes
Strategy for SAR Imaging Quality Improvement With Low-Precision	sampled	Data
Streaming transmission of point-	sampled	geometry based on view-dependent level-of-detail
Sub-	sampled	Cross-Component Prediction for Emerging Video Coding Standards
Surface approximation of 3D objects from irregularly	sampled	clouds of 3D points using spherical wavelets
System for Reconstruction of Missing Data in Image Sequences Using	sampled	3D AR Models and MRF Motion Priors, A
Texture recognition from sparsely and irregularly	sampled	data
Time pattern reconstruction for classification of irregularly	sampled	time series
Toward a real-time tracking of dense point-	sampled	geometry
Toward Completely	sampled	Extracellular Neural Recording During fMRI
Towards a Generic Compression Solution for Densely and Sparsely	sampled	Light Field Data
Tree and Pyramid Structures for Coding Hexagonally	sampled	Binary Images
unbiased parametric imaging algorithm for nonuniformly	sampled	biomedical system parameter estimation, An
Uncertainty-Driven Efficiently-	sampled	Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration
Uncovering delayed patterns in noisy and irregularly	sampled	time series: An astronomy application
Variable Macropixel Spectral-Spatial Transforms With Intra- and Inter-Color Decorrelations for Arbitrary RGB CFA-	sampled	Raw Images
Video	sampled	Frame Category Aggregation and Consistent Representation for Cross-Modal Retrieval
Wavelet Reconstruction of Nonuniformly	sampled	Signals
Wavelet-based Reconstruction of Irregularly-	sampled	Images: Application to Stereo Imaging
Wavelet-Based Spectral-Spatial Transforms for CFA-	sampled	Raw Camera Image Compression

213 for sampl

_	samplenet	_
	samplenet	: Differentiable Point Cloud Sampling

_	samplepair	_
Multi-Temporal	samplepair	Generation for Building Change Detection Promotion in Optical Remote Sensing Domain Based on Generative Adversarial Network

_	sampler	_
Adaptive Langevin	sampler	for Separation of t-Distribution Modelled Astrophysical Maps
Adaptive Reordering	sampler	with Neurally Guided MAGSAC
Annealed SMC	sampler	s for Dirichlet Process Mixture Models
Annealed SMC	sampler	s for Nonparametric Bayesian Mixture Models
Bayesian Approach to Parameter Estimation and Interpolation of Time Varying Autoregressive Processes Using the Gibbs	sampler
Bird-Borne	sampler	s for Monitoring CO2 and Atmospheric Physical Parameters
Consistent and efficient	sampler	for geometric computation
Counterfactual Vision-and-Language Navigation via Adversarial Path	sampler
Crowd Detection with a Multiview	sampler
Efficient Monte Carlo	sampler	for Detecting Parametric Objects in Large Scenes
Evolutionary gibbs	sampler	for image segmentation
Implementation and Evaluation of a Three-Dimensional Photometric	sampler
Improved RJMCMC point process	sampler	for object detection on images by simulated annealing
informed	sampler	: A discriminative approach to Bayesian inference in generative computer vision models, The
Insight Into the Gibbs	sampler	: Keep the Samples or Drop Them?, An
ISP-IRLNet: Joint optimization of interpretable	sampler	and implicit regularization learning network for accerlerated MRI
Least Squares Sub-pixel Registration Refinement Using Area	sampler	Model
Meta-	sampler	: Almost-Universal yet Task-Oriented Sampling for Point Clouds
Modified Hybrid Bronchoscope Tracking Based on Sequential Monte Carlo	sampler	: Dynamic Phantom Validation
MongeNet: Efficient	sampler	for Geometric Deep Learning
Motion-Excited	sampler	: Video Adversarial Attack with Sparked Prior
Multi-Channel Modulo	sampler	s Constructed From Gaussian Integers
Multiresolution image segmentation integrating Gibbs	sampler	and region merging algorithm
No-U-Turn	sampler	as a Proposal Distribution in a Sequential Monte Carlo Sampler Without Accept/Reject, The
No-U-Turn	sampler	as a Proposal Distribution in a Sequential Monte Carlo Sampler Without Accept/Reject, The
NSNet: Non-saliency Suppression	sampler	for Efficient Video Recognition
Overlap	sampler	for Region-Based Object Detection
Partially collapsed parallel Gibbs	sampler	for Dirichlet process mixture models
PMI	sampler	: Patch Similarity Guided Frame Selection For Aerial Action Recognition
Polya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel	sampler
Scanline	sampler	without Detailed Balance: An Efficient MCMC for MRF Optimization
Simple	sampler	for the Horseshoe Estimator, A
Split Gibbs	sampler	Revisited: Improvements to Its Algorithmic Structure and Augmented Target Distribution, The
Spot and Learn: A Maximum-Entropy Patch	sampler	for Few-Shot Image Classification
Static SMC	sampler	on Shapes for the Automated Segmentation of Aortic Calcifications, A
Stimulus Verification is a Universal and Effective	sampler	in Multi-modal Human Trajectory Prediction
Uncertainty Calibrated Markov Chain Monte Carlo	sampler	for Visual Tracking Based on Multi-shape Posterior

37 for sampler

_	sampling	_
10.4-Gs/s High-Resolution Wideband Radar	sampling	System Based on TIADC Technique, A
2-D FIR filter design for	sampling	structure conversion
2D motion aided	sampling	and reconstruction
3-D Non-Orthogonal	sampling	for Motion Pictures with Spectrum-Adaptive Bandlimitation
3-D scene representation with layered non-uniform global	sampling
3D Face Recognition Algorithm Based on Nonuniform Re-	sampling	Correspondence, A
3D super-resolution using generalized	sampling	expansion
3D-Orientation Space; Filters and	sampling
4D Basis and	sampling	Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal, A
A-Optimal	sampling	and Robust Reconstruction for Graph Signals via Truncated Neumann Series
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-	sampling
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo	sampling
Abrupt Motion Tracking Via Intensively Adaptive Markov-Chain Monte Carlo	sampling
Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance	sampling	Techniques
Accelerated hybrid image reconstruction for non-regular	sampling	color sensors
Accelerated Nonrigid Intensity-Based Image Registration Using Importance	sampling
Accelerating Score-Based Generative Models with Preconditioned Diffusion	sampling
Accelerating Vanishing Point-Based Line	sampling	Scheme for Real-Time People Localization
Accuracy and Effort of Interpolation and	sampling	: Can GIS Help Lower Field Costs?
Accuracy Based Adaptive	sampling	and Multi-Sensor Scheduling for Collaborative Target Tracking
Accuracy of the Copernicus High-Resolution Layer Imperviousness Density (HRL IMD) Assessed by Point	sampling	within Pixels
Accuracy-Based	sampling	and Reconstruction with Adaptive Meshes for Parallel Hierarchical Triangulation
Accurate and Diverse	sampling	of Sequences Based on a Best of Many Sample Objective
Accurate and Efficient Curve Detection in Images: The Importance	sampling	Hough Transform
Accurate Identification of a Markov-Gibbs Model for Texture Synthesis by Bunch	sampling
Action density based frame	sampling	for human action recognition in videos
Active attentional	sampling	for speed-up of background subtraction
Active Batch	sampling	for Multi-label Classification with Binary User Feedback
Active Disparity	sampling	for Stereo Matching With Adjoint Network
Active Image	sampling	on Canonical Views for Novel Object Detection
Active Learning With Complementary	sampling	for Instructing Class-Biased Multi-Label Text Emotion Classification
Active	sampling	Exploiting Reliable Informativeness for Subjective Image Quality Assessment Based on Pairwise Comparison
Active	sampling	for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
Active	sampling	for Subjective Image Quality Assessment
Active	sampling	of Gaze-Shifts, The
Active	sampling	via tracking
AdaNeRF: Adaptive	sampling	for Real-Time Rendering of Neural Radiance Fields
AdaNS: Adaptive negative	sampling	for unsupervised graph representation learning
Adaptable Image Retrieval System With Relevance Feedback Using Kernel Machines and Selective	sampling	, An
Adaptive block sub-	sampling	algorithm for motion-estimation on SIMD processors
Adaptive Compressive	sampling	for Mid-Infrared Spectroscopic Imaging
Adaptive Contour	sampling	and Coding Using Skeleton and Curvature
Adaptive Hierarchical Down-	sampling	for Point Cloud Classification
Adaptive Image	sampling	Using Deep Learning and Its Application on X-Ray Fluorescence Image Reconstruction
Adaptive importance	sampling	for estimating multi-component chirp signal parameters in colored noise
adaptive irregular	sampling	algorithm and its application to image coding, An
adaptive irregular	sampling	method for progressive transmission, An
Adaptive Kalman Filtering by Covariance	sampling
Adaptive LiDAR	sampling	and Depth Completion Using Ensemble Variance
Adaptive Multi-Fidelity	sampling	Framework for Safety Analysis of Connected and Automated Vehicles, An
Adaptive multiple importance	sampling	for general functions
Adaptive object tracking algorithm based on eigenbasis space and compressive	sampling
Adaptive Parameter Estimation for Compound Interrupted	sampling	and Repeating Jamming
Adaptive plenoptic	sampling
Adaptive Propagation-Based Color-	sampling	for Alpha Matting
Adaptive	sampling	and Non Linear Reconstruction for Cardiac Magnetic Resonance Imaging
Adaptive	sampling	approach for volumetric shadows in dynamic scenes
Adaptive	sampling	for compressed sensing based image compression
Adaptive	sampling	for Feature Detection, Tracking, and Recognition on Mobile Platforms
Adaptive	sampling	for Low Latency Vision Processing
Adaptive	sampling	for output device characterization
Adaptive	sampling	of Motion Trajectories for Discrete Task-Based Analysis and Synthesis of Gesture
Adaptive	sampling	of Pareto Frontiers with Binary Constraints Using Regression and Classification
Adaptive	sampling	positions for the decoding of marker objects known as Snowflakes
Adaptive Scene Category Discovery With Generative Learning and Compositional	sampling
Adaptive shadow detection using global texture and	sampling	deduction
Adaptive Support of Spatial-Temporal Neighbors for Depth Map Sequence Up-	sampling
Adaptive Task	sampling	for Meta-learning
Adaptive Token	sampling	for Efficient Vision Transformers
Adaptive up-	sampling	method for H.264 scalable video coding
Adaptive Up-	sampling	Method Using DCT for Spatial Scalability of Scalable Video Coding
Adaptive-	sampling	Algorithm for Object Representation, An
AdaptiveFace: Adaptive Margin and	sampling	for Face Recognition
Addressing the class-imbalance and class-overlap problems by a metaheuristic-based under-	sampling	approach
Adjustment and Assessment of the Measurements of Low and High	sampling	Frequencies of GPS Real-Time Monitoring of Structural Movement
Advanced SAR Image Despeckling Method by Bernoulli-	sampling	-Based Self-Supervised Deep Learning, An
Adversarial Path	sampling	for Recommender Systems
Adversarial robustness in discontinuous spaces via alternating	sampling	and descent
Adversarial	sampling	for Active Learning
AEBSR: Active-	sampling	and Energy-Based Single Image Super-Resolution
Aggregating and	sampling	Methods for Processing GPS Data Streams for Traffic State Estimation
Airborne Lidar	sampling	Pivotal for Accurate Regional AGB Predictions from Multispectral Images in Forest-Savanna Landscapes
Airborne Lidar	sampling	Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery
Algorithm for Variable Density	sampling	with Block-Constrained Acquisition, An
Alias-and-Separate: Wideband Speech Coding Using Sub-Nyquist	sampling	and Speech Separation
ALiSa: Acrostic Linguistic Steganography Based on BERT and Gibbs	sampling
Alpha Matting With KL-Divergence-Based Sparse	sampling
Alternative k-space	sampling	distributions for MR spectroscopic imaging
Analysis of a	sampling	Technique Applied to Biological Images
Analysis of	sampling	Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience
analysis of scale-space	sampling	in SIFT, An
analytical study of subpixel-based image down-	sampling	patterns in frequency domain, An
Anchor-Free Method Based on Adaptive Feature Encoding and Gaussian-Guided	sampling	Optimization for Ship Detection in SAR Imagery, An
Anti-Aliased Euclidean Distance Transform on 3D	sampling	Lattices
Anti-Intermittent	sampling	Jamming Technique Utilizing the OTSU Algorithm of Random Orthogonal Sub-Pulses, An
Antialiasing method for image aliasing in bandpass-	sampling	-based receiver
Appearance	sampling	for obtaining a set of basis images for variable illumination
Appearance	sampling	of Real Objects for Variable Illumination
Appearance-based data augmentation for image datasets using contrast preserving	sampling
Applicability of SWOT's Non-Uniform Space-Time	sampling	in Hydrologic Model Calibration, The
Application of In-Segment Multiple	sampling	in Object-Based Classification
Application Of Spatial Modelling Approaches,	sampling	Strategies And 3s Technology Within An Ecolgocial Framwork
Approximate pairwise clustering for large data sets via	sampling	plus extension
APSNet: Toward Adaptive Point	sampling	for Efficient 3D Action Recognition
Area Estimation of Multi-temporal Global Impervious Land Cover Based On Stratified Random	sampling
ASFlow: Unsupervised Optical Flow Learning With Adaptive Pyramid	sampling
ASKME: adaptive	sampling	with knowledge-driven vectorization of mechanical engineering drawings
Assessing Multi-Temporal Global Urban Land-Cover Products Using Spatio-Temporal Stratified	sampling
Assessing the Accuracy of Multi-Temporal GlobeLand30 Products in China Using a Spatiotemporal Stratified	sampling	Method
Assessing the Effect of Training	sampling	Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine
Assessment of	sampling	Effects on Various Satellite-Derived Integrated Water Vapor Datasets Using GPS Measurements in Germany as Reference
Asymptotic Analysis and Random	sampling	of Digitally Convex Polyominoes
Attention Discriminant	sampling	for Point Clouds
Attention-Based Point Cloud Edge	sampling
AttentiveNAS: Improving Neural Architecture Search via Attentive	sampling
Audio Identification by	sampling	Sub-fingerprints and Counting Matches
Augmentation Invariance and Adaptive	sampling	in Semantic Segmentation of Agricultural Aerial Images
Automated feature weighting and random pixel	sampling	in k-means clustering for terahertz image segmentation
Automated	sampling	and control of gaseous simulations
Automatic Segmentation of Abdominal MRI Using Selective	sampling	and Random Walker
Back in the US-SR: Unlimited	sampling	and Sparse Super-Resolution With Its Hardware Validation
Background Subtraction with Dynamic Noise	sampling	and Complementary Learning
Basic Morphological Operations, Band-Limited Images and	sampling
Batch-Incremental Triplet	sampling	for Training Triplet Networks Using Bayesian Updating Theorem
Bayesian change detection based on spatial	sampling	and Gaussian mixture model
Bayesian Inversion of Logging-While-Drilling Extra-Deep Directional Resistivity Measurements Using Parallel Tempering Markov Chain Monte Carlo	sampling
Bayesian-Approach to Dynamic Contours Through Stochastic	sampling	and Simulated Annealing, A
Bayesian-Compressive-	sampling	-Based Inversion for Imaging Sparse Scatterers, A
Bespoke Fractal	sampling	Patterns for Discrete Fourier Space via the Kaleidoscope Transform
Betasac: A New Conditional	sampling	for RANSAC
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path	sampling
Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial	sampling	for Image Classification
Beyond the shortest path: Unsupervised domain adaptation by	sampling	Subspaces along the Spline Flow
BF3D: Bi-directional fusion 3D detector with semantic	sampling	and geometric mapping
Bi-level Protected Compressive	sampling
Bias Mimicking: A Simple	sampling	Approach for Bias Mitigation
biased	sampling	strategy for object categorization, A
Binary invariant cross color descriptor using galaxy	sampling
Binary Random-Fields, Random Closed-Sets, and Morphological	sampling
Biology-inspired Design of Digital Gabor Filters Upon a Hexagonal	sampling	Scheme
Blind Adaptive	sampling	of Images
Blind	sampling	Clock Offset Estimation Algorithm for OFDM System
Block-based variable density compressed image	sampling
Block-Matching Translation And Zoom Motion-Compensated Prediction by sub-	sampling
Blue noise	sampling	using an N-body simulation-based method
Boosted negative	sampling	by quadratically constrained entropy maximization
Boosting Convolutional Filters with Entropy	sampling	for Optic Cup and Disc Image Segmentation from Fundus Images
Boundary-Aware RGBD Salient Object Detection With Cross-Modal Feature	sampling
Breadcrumbs: Adversarial Class-Balanced	sampling	for Long-Tailed Recognition
Bunch	sampling	for Fast Texture Synthesis
Categorization of Multiple Objects in a Scene Using a Biased	sampling	Strategy
Causal GraphSAGE: A robust graph method for classification based on causal	sampling
Change-Aware	sampling	and Contrastive Learning for Satellite Images
Character normalization using an elliptical	sampling	window for optical character recognition
Character-Aware	sampling	and Rectification for Scene Text Recognition
Characterization and Assessment of Projection Probability Density Function and Enhanced	sampling	in Self-Collimation SPECT
Characterization of tomographic	sampling	in hybrid PET using the fourier crosstalk matrix
CLARREO Approach for Reference Intercalibration of Reflected Solar Sensors: On-Orbit Data Matching and	sampling
Class of Adaptive Model- and Object-Driven Nonuniform	sampling	Methods for 3-D Inspection, A
Class of Regression-cum-ratio Estimators In Two-phase	sampling	For Utilizing Information From High Resolution Satellite Data, A
Class of	sampling	-Error Free Measures in Oversampled Band-Limited Images, A
Class-specific image denoising using importance	sampling
Class-specific poisson denoising by patch-based importance	sampling
Classification Accuracy Assessment for Regional Vector Data Product Based On Spatial	sampling	: a Case Study of Japan
Classified Multifilter Up-	sampling	Algorithm in Spatial Scalability for H.264/SVC Encoder
Closer Look at Video	sampling	for Sequential Action Recognition, A
Cluster	sampling	Method for Image Matting via Sparse Coding, A
Clustered	sampling	improves random subspace brain mapping
COAST: COntrollable Arbitrary-	sampling	NeTwork for Compressive Sensing
Coaxiality Calculation Method for Dropping Operation of Lunar Surface	sampling	Mission Based on Monocular Vision Using Ellipse and Line Features
Coded rolling shutter photography: Flexible space-time	sampling
Collaborative	sampling	Using Heterogeneous Marine Robots Driven by Visual Cues
Combined Color and Texture Segmentation Based on Fibonacci Lattice	sampling	and Mean Shift
Combining Multiband Remote Sensing and Hierarchical Distance	sampling	to Establish Drivers of Bird Abundance
Combining nonuniform	sampling	, hybrid super vector, and random forest with discriminative decision trees for action recognition
Commentary Paper 1 on A Localized Approach to Abandoned Luggage Detection with Foreground-Mask	sampling
Commentary Paper 2 on A Localized Approach to Abandoned Luggage Detection with Foreground-Mask	sampling
Comments on Generalized	sampling	Expansion for Bandlimited Signals Associated With Fractional Fourier Transform
Commercial Vehicle Activity Prediction With Imbalanced Class Distribution Using a Hybrid	sampling	and Gradient Boosting Approach
Communication Efficient SGD via Gradient	sampling	with Bayes Prior
Compact Interchannel	sampling	Difference Descriptor for Color Texture Classification
Comparative Study of	sampling	Analysis in the Scene Classification of Optical High-Spatial Resolution Remote Sensing Imagery, A
Compatibility-Guided	sampling	Consensus for 3-D Point Cloud Registration
Compressed	sampling	and dictionary learning framework for wavelength-division-multiplexing-based distributed fiber sensing
Compressed	sampling	strategies for tomography
Compressive image	sampling	with side information
Compressive Multi-Frequency Linear	sampling	Method for Underwater Acoustic Imaging, A
Compressive	sampling	based Single-Image Super-resolution Reconstruction by dual-sparsity and Non-local Similarity Regularizer
Compressive	sampling	for Array Cameras
Compressive	sampling	in fast wavelet-encoded MRI
Compressive	sampling	Recovery for Natural Images
Compressive	sampling	Vs. Conventional Imaging
Compressive	sampling	with unknown blurring function: Application to passive millimeter-wave imaging
Compressive	sampling	-Based Image Coding for Resource-Deficient Visual Communication
Compressive video	sampling	from a union of data-driven subspaces
Compressive Video	sampling	With Approximate Message Passing Decoding
Computation of the Normal Vector to a Digital Plane by	sampling	Significant Points
Computational Form of the Least Square Error Frequency	sampling	Method for the Linear Phase FIR Filter Design, A
computationally efficient importance	sampling	tracking algorithm, A
Computed Imaging System Using Wavelets	sampling	Model, A
Concentric Circular	sampling	for Texture Analysis
Concentric circular trajectory	sampling	for super-resolution and image mosaicing
Conditional feature generation for transductive open-set recognition via dual-space consistent	sampling
consensus	sampling	technique for fast and robust model fitting, A
Consistent	sampling	and Efficient Signal Reconstruction
Consistent visual words mining with adaptive	sampling
Constant Flow	sampling	: A Method to Automatically Select the Regularization Parameter in Image Registration
Constant Pace Skimming and Temporal Sub-	sampling	of Video Using Motion Activity
Constrained	sampling	Using Simulated Annealing
Content-dependent image	sampling	using mathematical morphology: Application to texture mapping
Context-guided ground truth	sampling	for multi-modality data augmentation in autonomous driving
Context-Specific Point-of-Interest Recommendation Based on Popularity-Weighted Random	sampling	and Factorization Machine
Continuous Approximation Based Dimension-Reduced Estimation for Arbitrary	sampling
Continuous	sampling	in Mutual-Information Registration
Convergence and Application of Online Active	sampling	Using Orthogonal Pillar Vectors
Convolution, correlation, and	sampling	theorems for the offset linear canonical transform
Convolutional Neural Network-Assisted Adaptive	sampling	for Sparse Feature Detection in Image and Video Data
Convolutional Neural Network-Based Block Up-	sampling	for HEVC
Convolutional Neural Network-Based Block Up-	sampling	for Intra Frame Coding
ConZIC: Controllable Zero-shot Image Captioning by	sampling	-Based Polishing
Coreset	sampling	from Open-Set for Fine-Grained Self-Supervised Learning
Cost-Constrained	sampling	Strategy in Support of LAI Product Validation in Mountainous Areas, A
Covariance Scaled	sampling	for Monocular 3D Body Tracking
Cross-View Down/Up-	sampling	Method for Multiview Depth Video Coding
Cu-net: Cascaded U-net with Loss Weighted	sampling	for Brain Tumor Segmentation
Curvature-Variation-Inspired	sampling	for Point Cloud Classification and Segmentation
Cutset	sampling	and reconstruction of images
C^4: Exploring Multiple Solutions in Graphical Models by Cluster	sampling
DACS: Domain Adaptation via Cross-domain Mixed	sampling
DAS: Densely-Anchored	sampling	for Deep Metric Learning
Data-Driven Estimation of Temporal-	sampling	Errors in Unsteady Flows
DATA: Differentiable ArchiTecture Approximation With Distribution Guided	sampling
DCT-based image up-	sampling	using anchored neighborhood regression
Deceptive Jamming Algorithm against Synthetic Aperture Radar in Large Squint Angle Mode Based on Non-Linear Chirp Scaling and Low Azimuth	sampling	Reconstruction
Decomposed slice	sampling	for factorized distributions
Deep Active Ensemble	sampling	for Image Classification
Deep Adaptive Quadruplet Hashing With Probability	sampling	for Large-Scale Image Retrieval
Deep Atomic Norm Denoising Network for Jointly Range-Doppler Estimation With FRI	sampling
Deep Brain Stimulation Artifact Removal Through Under-	sampling	and Cubic-Spline Interpolation
Deep Coarse-to-Fine Dense Light Field Reconstruction With Flexible	sampling	and Geometry-Aware Fusion
Deep Embedding Learning With Discriminative	sampling	Policy
Deep Hash Remote Sensing Image Retrieval with Hard Probability	sampling
Deep metric learning with dynamic margin hard	sampling	loss for face verification
Deformation simulation based on model reduction with rigidity-guided	sampling
Delta	sampling	R-BERT for limited data and low-light action recognition
DeNet: Scalable Real-Time Object Detection with Directed Sparse	sampling
Dense Light Field Reconstruction from Sparse	sampling	Using Residual Network
Dense	sampling	and detail enhancement network: Improved small object detection based on dense sampling and detail enhancement
Dense	sampling	and detail enhancement network: Improved small object detection based on dense sampling and detail enhancement
Dense	sampling	and fast encoding for 3D model retrieval using bag-of-visual features
Dense	sampling	Low-Level Statistics of Local Features
Dense	sampling	of 3D color transfer functions using HDR photography
DENSE	sampling	of features for image retrieval
Dense scene 3D reconstruction using color based	sampling	with fusion of image and sparse laser
Density Reconstruction Using Arbitrary Ray	sampling	Schemes
Density-Controlled	sampling	of Parametric Surfaces Using Adaptive Space-Filling Curves
Depth extraction from a single image by	sampling	based on distance metric learning
Depth Extraction from Video Using Non-parametric	sampling
Depth image up-	sampling	using ant colony optimization
Depth Map Down-	sampling	and Coding Based on Synthesized View Distortion
Depth Map Rasterization Using Triangulation and Color Consistency for Various	sampling	Structures
Depth map super-resolution via low-resolution depth guided joint trilateral up-	sampling
Depth Map Up-	sampling	Using Random Walk
Depth map up-	sampling	with texture edge feature via sparse representation
Depth Reconstruction From Sparse Samples: Representation, Algorithm, and	sampling
Depth Transfer: Depth Extraction from Video Using Non-Parametric	sampling
Depth up-	sampling	for depth coding using view information
Describe Fashion Products via Local Sparse Self-Attention Mechanism and Attribute-Based Re-	sampling	Strategy
Design Of Hexagonal	sampling	Structures for Image Digitization and Their Use with Local Operators, The
Design of New Surface Detection Operators in the Case of an Anisotropic	sampling	of 3D Volume Data
Design of	sampling	Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals
Design of	sampling	Kernels and Sampling Rates for Two-Dimensional Finite Rate of Innovation Signals
Design of	sampling	Matrices in Graph Frequency Domain for Graph Signal Processing
Design of two-dimensional FIR eigenfilters for	sampling	-structure conversion
Designing an Experience	sampling	Method for Smartphone Based Emotion Detection
Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood	sampling
Detecting lameness using Re-	sampling	Condensation and multi-stream cyclic hidden Markov models
Detecting parametric objects in large scenes by Monte Carlo	sampling
Detection and analysis of individual leaf-off tree crowns in small footprint, high	sampling	density lidar data from the eastern deciduous forest in North America
Detection of spatial points and lines by random	sampling	and voting procedure
Determination of the minimum	sampling	frequency in bandpass sampling by geometric approach and geometric programming
Determination of the minimum	sampling	frequency in bandpass sampling by geometric approach and geometric programming
Determining Autocorrelation Matrix Size and	sampling	Frequency for MUSIC Algorithm
Determining Shape and Reflectance of Hybrid Surfaces by Photometric	sampling
Deterministic	sampling	in heterogeneous graph neural networks
Development of multiscale retinex algorithm for medical image enhancement based on multi-rate	sampling
DGSAC: Density Guided	sampling	and Consensus
Diagnostics of Es Layer Scintillation Observations Using FS3/COSMIC Data: Dependence on	sampling	Spatial Scale
Differentiable Surface Rendering via Non-Differentiable	sampling
Difficulty-Based	sampling	for Debiased Contrastive Representation Learning
Diffraction-Pattern	sampling	for Automatic Pattern Recognition
Digital superresolution and the generalized	sampling	theorem
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic	sampling
DiPS: Discriminative pseudo-label	sampling	with self-supervised transformers for weakly supervised object localization
Direct	sampling	Method for the Inversion of the Radon Transform, A
Directional Super-Resolution by Means of Coded	sampling	and Guided Upsampling
Directional View Interpolation for Compensation of Sparse Angular	sampling	in Cone-Beam CT
DIRSAC: A directed	sampling	and consensus approach to quasi-degenerate data fitting
Discovering class specific composite features through discriminative	sampling	with Swendsen-Wang Cut
Discovering scene categories by information projection and cluster	sampling
Discrete Cosine Model of Light Field	sampling	for Improving Rendering Quality of Views, A
Discrete optimal Bayesian classification with error-conditioned sequential	sampling
Discrete Topology of (An*) Optimal	sampling	Grids. Interest in Image Processing and Visualization
Discriminative	sampling	of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization
Discriminative	sampling	via deep reinforcement learning for kinship verification
Distributed Cooperative Surrounding Control for Mobile Robots With Uncertainties and Aperiodic	sampling
Distributed Kalman filter based on Metropolis-Hastings	sampling	strategy
Diversity promoting online	sampling	for streaming video summarization
DOA Estimation With Nonuniform Moving	sampling	Scheme Based on a Moving Platform
Domain adaptation using weighted sub-space	sampling	for object categorization
Domain Adaptive	sampling	for Cross-Domain Point Cloud Recognition
Double-	sampling	Extension of the German National Forest Inventory for Design-Based Small Area Estimation on Forest District Levels, A
Down-	sampling	Based Video Coding Using Super-Resolution Technique
Down-	sampling	Based Video Coding with Degradation-aware Restoration-reconstruction Deep Neural Network
Down-	sampling	Coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures
Down-	sampling	Design in DCT Domain With Arbitrary Ratio for Image/Video Transcoding
DPOSE: Online Keypoint-CAM Guided Inference for Driver Pose Estimation with GMM-based Balanced	sampling
Drifting Phase of SARAL: Securing Stable Ocean Mesoscale	sampling	with an Unmaintained Decaying Altitude, The
Drone-Based Bioaerosol	sampling	System to Monitor Ice Nucleation Particles in the Lower Atmosphere, A
Dual-	sampling	Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar	sampling	land Refinement Toward Equilibrium
Dynamic Confidence	sampling	and Label Semantic Guidance Learning for Domain Adaptive Retrieval
Dynamic Dual	sampling	Module for Fine-Grained Semantic Segmentation
Dynamic Filtering with Large	sampling	Field for ConvNets
Dynamic Fixation of a Moving Surface Using Log Polar	sampling
Dynamic Non-Regular	sampling	Sensor Using Frequency Selective Reconstruction
dynamic over-	sampling	procedure based on sensitivity for multi-class problems, A
Dynamic Partitioned	sampling	For Tracking With Discriminative Features
Dynamic PlenOctree for Adaptive	sampling	Refinement in Explicit NeRF
Dynamic Recommendation of Substitute Locations for Inaccessible Soil Samples during Field	sampling	Campaign
Dynamic resource allocation for probabilistic tracking via attentive sensing and	sampling
Dynamic	sampling	for deep metric learning
Dynamic	sampling	Networks for Efficient Action Recognition in Videos
dynamical neighborhood selection based on the	sampling	density and manifold curvature for isometric data embedding, The
E-spline	sampling	for precise and robust line-edge extraction
Ecological	sampling	of Gaze Shifts
Edge-preserving interpolation for down/up	sampling	-based depth compression
Edges in Visual Scenes and Sequences: Application to Filtering,	sampling	, and Adaptive DPCM Coding
Effect Inference From Two-Group Data With	sampling	Bias
Effect of Non-Appropriate	sampling	on Radar Detection Algorithm
Effect of	sampling	in Creating a Digital Image on Measurement Accuracy of Center Location of a Circle
effect of spatial autocorrelation and class proportion on the accuracy measures from different	sampling	designs, The
Effect of Spatial Resolution and Temporal	sampling	Schemes on the Measurement Error for a Moon-Based Earth Radiation Observatory, The
Effective Condition for	sampling	Surfaces with Guarantees, An
Effective Detection for Linear Up-	sampling	by a Factor of Fraction
Effective	sampling	: Fast Segmentation Using Robust Geometric Model Fitting
Effective Task	sampling	Strategy Based on Category Generation for Fine-Grained Few-Shot Object Recognition, An
Effects of Dynamic Range and	sampling	Rate of an Infrared Thermometer to the Accuracy of the Cloud Detection
Effects of	sampling	skewness of the importance-weighted risk estimator on model selection.
Effects of Spatial	sampling	Interval on Roughness Parameters and Microwave Backscatter over Agricultural Soil Surfaces
Effects of sub-	sampling	and quantisation on colour bleeding due to image and video compression
Effects of Terrain Morphology,	sampling	Density, and Interpolation Methods on Grid DEM Accuracy
Effects of the Time	sampling	Interval on the Angular Combination Characteristics of Moon-Based Earth Observations
Efficient 3D Low-Discrepancy k-Space	sampling	Using Highly Adaptable Seiffert Spirals
Efficient and Robust Video Object Segmentation Through Isogenous Memory	sampling	and Frame Relation Mining
Efficient BRDF	sampling	Using Projected Deviation Vector Parameterization
Efficient Chroma Sub-	sampling	and Luma Modification for Color Image Compression
Efficient Combination of Probabilistic	sampling	Approximations for Robust Image Segmentation
efficient computational algorithm for Hausdorff distance based on points-ruling-out and systematic random	sampling	, An
Efficient cost volume	sampling	for plane sweeping based multiview depth estimation
Efficient down-up	sampling	using DCT kernel for MPEG-21 SVC
Efficient Exploration of Text Regions in Natural Scene Images Using Adaptive Image	sampling
Efficient Focus	sampling	Through Depth-of-Field Calibration
Efficient fuzzy composite predictive scheme for effectual 2-D up-	sampling	of images for multimedia applications
Efficient Human Vision Inspired Action Recognition Using Adaptive Spatiotemporal	sampling
Efficient Image Appearance Description Using Dense	sampling	Based Local Binary Patterns
Efficient image matching using concentric	sampling	features and boosting process
Efficient Interlaced Multi-Shell	sampling	Scheme for Reconstruction of Diffusion Propagators, An
Efficient MCMC	sampling	with implicit shape representations
Efficient Motion Vector Composition Scheme for Arbitrary Frame Down-	sampling	Video Transcoder, An
Efficient Multiple Importance	sampling	Estimators
Efficient Random	sampling	for Nonrigid Feature Matching
Efficient	sampling	Algorithm With a K-NN Expanding Operator for Depth Data Acquisition in a LiDAR System, An
Efficient	sampling	for Computer Vision Roundness Inspection
Efficient	sampling	of Bayer Pattern for Long Range Small Target Detection in Color Images
Efficient	sampling	of Disparity Space for Fast And Accurate Matching
Efficient	sampling	Scheme for the Eigenvalues of Dual Wishart Matrices, An
Efficient	sampling	strategy and refinement strategy for randomized circle detection
Efficient	sampling	using feature matching and variable minimal structure size
Efficient	sampling	-Based Attention Network for Semantic Segmentation, An
Efficient	sampling	-based energy function evaluation for ensemble optimization using simulated annealing
Efficient	sampling	-Based Motion Planning for On-Road Autonomous Driving
Efficient Space-Time	sampling	with Pixel-Wise Coded Exposure for High-Speed Imaging
Efficient Stereoscopic Ranging via Stochastic	sampling	of Match Quality
Efficient Time and Frequency Methods for	sampling	Filter Functions
Efficient topology-controlled	sampling	of implicit shapes
Efficient Training of Deep Learning Models Through Improved Adaptive	sampling
Ellipse detection using	sampling	constraints
Ellipse Fitting Using the Finite Rate of Innovation	sampling	Principle
Elliptical Object Detection by a Modified RANSAC with	sampling	Constraint from Boundary Curves' Clustering
Endmember Bundle Extraction Method Based on Multiscale	sampling	to Address Spectral Variability for Hyperspectral Unmixing, An
Energy Minimization Based Alternate	sampling	and Clustering for Geometric Model Fitting
Enhanced Absence	sampling	Technique for Data-Driven Landslide Susceptibility Mapping: A Case Study in Songyang County, China
Enhanced Compressive Imaging Using Model-Based Acquisition: Smarter	sampling	by incorporating domain knowledge
Enhanced Image Reconstruction From Quarter	sampling	Measurements Using An Adapted Very Deep Super Resolution Network
Enhancing Particle Filters Using Local Likelihood	sampling
Ensembles of dense and dense	sampling	descriptors for the HEp-2 cells classification problem
Entropy-based prioritized	sampling	in Deep Q-learning
Entropy-Driven	sampling	and Training Scheme for Conditional Diffusion Generation
Epipolar Spaces and Optimal	sampling	Strategies
Episode Difficulty Based	sampling	Method for Few-Shot Classification
Equal-Distance	sampling	of Superellipse Models
Establishing the Position and Drivers of the Eastern Andean Treeline with Automated Transect	sampling
Estimation of Signal Distortion Using Effective	sampling	Density for Light Field-Based Free Viewpoint Video
Evaluating Landslide Susceptibility Using	sampling	Methodology and Multiple Machine Learning Models
Evaluation of Hierarchical	sampling	Strategies in 3D Human Pose Estimation
Evaluation of	sampling	and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification
Evaluation of	sampling	Methods for Validation of Remotely Sensed Fractional Vegetation Cover
Evaluation of	sampling	-based pedestrian detection for crowd counting
Evaluation of TRMM PR	sampling	Error Over a Subtropical Basin Using Bootstrap Technique
Exact Solution for Sparse	sampling	for Optimal Detection of Known Signals in Gaussian Noise, An
Example-Based Facial Sketch Generation with Non-parametric	sampling
Expand training set for face detection by GA re-	sampling
Explaining through Transformer Input	sampling
Exploiting Instance-based Mixed	sampling	via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection
Exploring Influence of	sampling	Strategies on Event-Based Landslide Susceptibility Modeling
Exploring Motion Boundary based	sampling	and Spatial-Temporal Context Descriptors for Action Recognition
Exploring the Sensitivity of	sampling	Density in Digital Mapping of Soil Organic Carbon and Its Application in Soil Sampling
Exploring the Sensitivity of	sampling	Density in Digital Mapping of Soil Organic Carbon and Its Application in Soil Sampling
Exploring the Space of Abstract Textures by Principles and Random	sampling
Exploring Video Frame Redundancies for Efficient Data	sampling	and Annotation in Instance Segmentation
Extended Photometric	sampling	for Surface Shape Recovery
Extended	sampling	Method for Inverse Elastic Scattering Problems Using One Incident Wave
Extended-	sampling	-Bayesian Method for Limited Aperture Inverse Scattering Problems
External Patch-Based Image Restoration Using Importance	sampling
External versus Internal Parameterizations for Lengths of Curves with Nonuniform	sampling	s
Extracting Cylinders in Full 3-D Data Using a Random	sampling	Method and the Gaussian Image
Extracting Impervious Surface from Aerial Imagery Using Semi-Automatic	sampling	and Spectral Stability
Extracting Shape and Reflectance of Hybrid Surfaces by Photometric	sampling
Extremely High-Dimensional Feature Selection via Feature Generating	sampling	s
Face Authentication by Retinotopic	sampling	of the Gabor Decomposition and Support Vector Machines
Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs	sampling
Factor Analysis From Quadratic	sampling
Farther the Better: Balanced Stereo Matching via Depth-Based	sampling	and Adaptive Feature Refinement, The
Farthest Point Strategy for Progressive Image	sampling	, The
FASA: Feature Augmentation and	sampling	Adaptation for Long-Tailed Instance Segmentation
Fast Algorithms for DCT-Domain Image Down-	sampling	and for Inverse Motion Compensation
Fast and Efficient Saliency Detection Using Sparse	sampling	and Kernel Density Estimation
Fast and Robust 2D-Shape Extraction Using Discrete-Point	sampling	and Centerline Grouping in Complex Images
fast and robust circle detection method using isosceles triangles	sampling	, A
Fast background subtraction algorithm using two-level	sampling	and silhouette detection
Fast Convolutional Neural Network Training Using Selective Data	sampling	: Application to Hemorrhage Detection in Color Fundus Images
Fast Frequency-Diverse Radar Imaging Based on Adaptive	sampling	Iterative Soft-Thresholding Deep Unfolding Network
Fast iterative reconstruction of band-limited images from non-uniform	sampling	values
Fast medical image mixture density clustering segmentation using stratification	sampling	and kernel density estimation
Fast mixing hyperdynamic	sampling
Fast Motion Vector Refinement for MPEG-1 to MPEG-4 Transcoding with Spatial Down-	sampling	in DCT Domain
Fast Multi-Contrast MRI Acquisition by Optimal	sampling	of Information Complementary to Pre-Acquired MRI Contrast
Fast Point Cloud	sampling	Network
Fast Power Spectrum Sensing Solution for Generalized Coprime	sampling	, A
Fast registration of segmented images by normal	sampling
Fast Superpixel Segmentation via Boundary	sampling	and Interpolation
Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo	sampling
FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment	sampling
FCO	sampling	of digital video using perfect reconstruction filter banks
Feasibility Study of Low-Dose Single-Scan Dual-Energy Cone-Beam CT in Many-View Under-	sampling	Framework, A
Feature	sampling	strategies for action recognition
Features Combined Binary Descriptor Based on Voted Ring-	sampling	Pattern
Few Could Be Better Than All: Feature	sampling	and Grouping for Scene Text Detection
Few-Shot Class-Incremental Learning by	sampling	Multi-Phase Tasks
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task	sampling
Filtering,	sampling	, and Reconstruction With Time-Varying Bandwidths
Finding Optimal Integral	sampling	Lattices for a given Frequency Support in Multidimensions
Finding People by	sampling
Fingerprint liveness detection based on binarized statistical image feature with	sampling	from Gaussian distribution
Finite-	sampling	, Operational Domain Specific, and Provably Unbiased Connected and Automated Vehicle Safety Metric, A
Flash Lighting Space	sampling
Flexible Skew-Symmetric Shape Model for Shape Representation, Classification, and	sampling
Flood Susceptibility Assessment with Random	sampling	Strategy in Ensemble Learning (RF and XGBoost)
FocusTune: Tuning Visual Localization through Focus-Guided	sampling
Footprint	sampling	-based Motion Editing
Forced Random	sampling	: Fast generation of importance-guided blue-noise samples
Forest Aboveground Biomass Estimation Using Machine Learning Ensembles: Active Learning Strategies for Model Transfer and Field	sampling	Reduction
Forgetful Active Learning with Switch Events: Efficient	sampling	for Out-of-Distribution Data
Fractional Power Spectrum and Fractional Correlation Estimations for Nonuniform	sampling
framework for developing and benchmarking	sampling	and denoising algorithms for Monte Carlo rendering, A
Frequency-Based Approach For Efficient Plenoptic	sampling	, A
Fresh Look at Generalized	sampling	, A
Full Body Tracking from Multiple Views Using Stochastic	sampling
Function Space Analysis of Finite Neural Networks With Insights From	sampling	Theory, A
Function Space Model for Digital Image	sampling	and Its Applications in Image Reconstruction, A
Fundamental	sampling	patterns for low-rank multi-view data completion
Fundamentals of Average Local Variance: Part II:	sampling	Simple Regular Patterns With Optical Imagery, The
Further results on spectrum blind	sampling	of 2D signals
Fusion of Images on Affine	sampling	Grids
Fusion of low-and high-dimensional approaches by trackers	sampling	for generic human motion tracking
Fusion of satellite images using Compressive	sampling	Matching Pursuit (CoSaMP) method
Fusion of Texture Variation and On-Line Color	sampling	for Moving Object Detection Under Varying Chromatic Illumination
Fuzzy spatial constraints and ranked partitioned	sampling	approach for multiple object tracking
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-	sampling
Gap-Filling of Landsat 7 Imagery Using the Direct	sampling	Method
Gauss-Legendre	sampling	on the Rotation Group
Gaze shifts as dynamical random	sampling
Generalised blind	sampling	of images
Generalization Ability of SVM Classification Based on Markov	sampling	, The
Generalization of Spatially Variant Apodization to Noninteger Nyquist	sampling	Rates
Generalization Performance of Regularized Regression Algorithms Based on Markov	sampling	, The
Generalized 3D Shape	sampling	Method and File Format for Storage or Indexing, A
Generalized Linear	sampling	Method for Limited Aperture Measurements, The
Generalized Nested	sampling	for Compressing Low Rank Toeplitz Matrices
Generalized q-	sampling	Imaging
generalized Radon transform:	sampling	, accuracy and memory considerations, The
Generalized Random Walk With Restart and its Application in Depth Up-	sampling	and Interactive Segmentation, A
Generalized Rational	sampling	Rate Conversion Polyphase FIR Filter
Generalized re-weighting local	sampling	mean discriminant analysis
Generalized Regular	sampling	of Trigonometric Polynomials and Optimal Sensor Arrangement
Generalized	sampling	-Based Motion Planners
Generalizing Swendsen-Wang to	sampling	Arbitrary Posterior Probabilities
Generating a Baseline Map of Surface Fuel Loading Using Stratified Random	sampling	Inventory Data through Cokriging and Multiple Linear Regression Methods
Genetic	sampling	k-means for Clustering Large Data Sets
Geometric Analysis of Uncertainty	sampling	for Dense Neural Network Layer
Geometric empirical Bayesian model for classification of functional data under diverse	sampling	regimes
Geometric	sampling	of Manifolds for Image Representation and Processing
Geometrical plenoptic	sampling
Geometrically stable	sampling	for the ICP algorithm
Geometry of Bandpass	sampling	: A Simple and Safe Approach, The
Geostatistics for Mapping Leaf Area Index over a Cropland Landscape: Efficiency	sampling	Assessment
GIR-based ensemble	sampling	approaches for imbalanced learning
Global Contrast Based Salient Region Boundary	sampling	for Action Recognition
global	sampling	method for alpha matting, A
Global	sampling	of image edges
Global Uncertainty in Epipolar Geometry via Fully and Partially Data-Driven	sampling
Golden Number	sampling	Applied to Compressive Sensing
Gradient-based	sampling	for Class Imbalanced Semi-supervised Object Detection
Gradual	sampling	and Mutual Information Maximisation for Markerless Motion Capture
Gradual	sampling	Gate for Bidirectional Knowledge Distillation
Graph Based Non-Uniform	sampling	and Reconstruction of Depth Maps
Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo	sampling	, A
Graph	sampling	Based Deep Metric Learning for Generalizable Person Re-Identification
GRASS: A Gradient-Based Random	sampling	Scheme for Milano Retinex
GREAT: a gradient-based color-	sampling	scheme for Retinex
GRIT-VLP: Grouped Mini-batch	sampling	for Efficient Vision and Language Pre-training
Ground-Truth Free Meta-Learning for Deep Compressive	sampling
Group	sampling	for Scale Invariant Face Detection
Guessing Smart: Biased	sampling	for Efficient Black-Box Adversarial Attacks
Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning,	sampling	and Computing, Part I
Guided Importance	sampling	Based Particle Filtering for Visual Tracking
Guided	sampling	and Consensus for Motion Estimation
Guided	sampling	Based Feature Aggregation for Video Object Detection
Guided	sampling	by Neighborhood Information and Matching Scores for Multi-Structure Data
Guided	sampling	for Multistructure Data via Neighborhood Consensus and Residual Sorting
Guided	sampling	in Multiple View Robust Motion Estimation Using Regression Diagnostics
Guided	sampling	via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation
Hairline Fracture Detection using MRF and Gibbs	sampling
Hamiltonian Adaptive Importance	sampling
Handling imbalanced data sets with synthetic boundary data generation using bootstrap re-	sampling	and AdaBoost techniques
Handling Imbalanced Datasets by Partially Guided Hybrid	sampling	for Pattern Recognition
Handwriting Recognition Accuracy Versus Tablet Resolution and	sampling	Rate
Handwritten character recognition through two-stage foreground sub-	sampling
Hard-negative	sampling	with Cascaded Fine-Tuning Network to Boost Flare Removal Performance in the Nighttime Images
Hardness	sampling	for Self-Training Based Transductive Zero-Shot Learning
HDR Image Compression by Multi-Scale down	sampling	of Intensity Levels
Heretical Multiple Importance	sampling
HerosNet: Hyperspectral Explicable Reconstruction and Optimal	sampling	Deep Network for Snapshot Compressive Imaging
Heterogeneous Multi-Party Learning With Data-Driven Network	sampling
Hiding Multiple Images into a Single Image Using Up-	sampling
Hierarchical bilevel image compression based on cutset	sampling
Hierarchical Framework for Motion Trajectory Forecasting Based on Modality	sampling	, A
Hierarchical Lossy Bilevel Image Compression Based on Cutset	sampling
Hierarchical MCMC	sampling
Hierarchical Normal Space	sampling	to speed up point cloud coarse matching
Hierarchical posterior	sampling	for images and random fields
hierarchical	sampling	based triplet network for fine-grained image classification, A
Hierarchical	sampling	with Constraints
Hierarchical Trajectory Planning of an Autonomous Car Based on the Integration of a	sampling	and an Optimization Method
High Perceptual Quality Image Denoising with a Posterior	sampling	CGAN
high performance and low complexity	sampling	-based intra coding method for H.264/AVC, A
High quality impulse noise removal via non-uniform	sampling	and autoregressive modelling based super-resolution
High-Perceptual Quality JPEG Decoding via Posterior	sampling
High-Precision Phase-Derived Velocity Measurement Method for High-Speed Targets Based on Wideband Direct	sampling	LFM Radar, A
High-quality depth map up-	sampling	robust to edge noise of range sensors
High-quality depth up-	sampling	via a supervised classification guided MRF model
High-Resolution and Wide-Swath SAR Imaging via Poisson Disk	sampling	and Iterative Shrinkage Thresholding
High-Resolution Remote Sensing Imagery Classification of Imbalanced Data Using Multistage	sampling	Method and Deep Neural Networks
High-Speed Hyperspectral Video Acquisition By Combining Nyquist and Compressive	sampling
How to define a locally adaptive	sampling	criterion for topologically correct reconstruction of multiple regions
Hss: A Hierarchical Semantic Similarity Hard Negative	sampling	Method for Dense Retrievers
HULC: 3D HUman Motion Capture with Pose Manifold	sampling	and Dense Contact Guidance
human motion database: A cognitive and parametric	sampling	of human motion, The
Human Re-identification by Matching Compositional Template with Cluster	sampling
hybrid approach for MRF optimization problems: Combination of stochastic	sampling	and deterministic algorithms, A
Hybrid Compressive	sampling	via a New Total Variation TVL1
Hyperdynamics Importance	sampling
Hypergraph with	sampling	for image retrieval
Hyperlapse generation of omnidirectional videos by adaptive	sampling	based on 3D camera positions
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned	sampling
Hyperspectral image classification based on three-dimensional adaptive	sampling	and improved iterative shrinkage-threshold algorithm
Hyperspectral material classification under monochromatic and trichromatic	sampling	rates
Identifiability and Estimation of Probabilities from Multiple Databases with Incomplete Data and	sampling	Selection
Identifying the key frames: An attention-aware	sampling	method for action recognition
Image Arbitrary-Ratio Down- and Up-	sampling	Scheme Exploiting DCT Low Frequency Components and Sparsity in High Frequency Components
Image coding using an adaptive	sampling	technique
Image Estimation in the Presence of Irregular	sampling	, Noise, and Pointing Jitter
Image Manipulation --	sampling	, Reduction, Decimation, General Size Changes, Resizing
Image Matting with KL-Divergence Based Sparse	sampling
Image reconstruction for compressed sensing based on joint sparse bases and adaptive	sampling
Image Registration Method with Radial Feature Points	sampling	: Application to Follow-Up CT Scans of a Solitary Pulmonary Nodule, An
Image representation by a new optimal non-uniform morphological	sampling
Image restoration based on the fast marching method and block based	sampling
Image Retrieval Method Based on Visual Map Pre-	sampling	Construction in Indoor Positioning
Image	sampling	by hierarchical annealing
Image	sampling	for localization using entropy
Image	sampling	structure conversion by morphological filters
Image	sampling	, Reconstruction, and the Effect of Sample-Scene Phasing
Image scaling algorithm using multichannel	sampling	in the linear canonical transform domain
Image up-	sampling	using deep cascaded neural networks in dual domains for images down-sampled in DCT domain
Image up-	sampling	using total-variation regularization with a new observation model
Imaging of Local Rough Surfaces by the Linear	sampling	Method with Near-Field Data
Imaging via three-dimensional compressive	sampling	(3DCS)
Imbalanced Continual Learning with Partitioning Reservoir	sampling
Impact of Spatial	sampling	on Continuity of MODIS-VIIRS Land Surface Reflectance Products: A Simulation Approach
Impact of the Radar-	sampling	Volume on Multiwavelength Spaceborne Radar Measurements Using Airborne Radar Observations, The
importance	sampling	approach to learning structural representations of shape, An
Importance	sampling	based discriminative learning for large scale offline handwritten Chinese character recognition
Importance	sampling	Kalman Filter for Image Estimation
Importance	sampling	-Based Maximum Likelihood Estimation for Multidimensional Harmonic Retrieval
Improved Graph Neural Networks for Spatial Networks Using Structure-Aware	sampling
Improved Inference and Prediction for Imbalanced Binary Big Data Using Case-Control	sampling	: A Case Study on Deforestation in the Amazon Region
improved MRF model for robust color guided depth up-	sampling	, An
Improved Parallelized Multi-Objective Optimization Method for Complex Geographical Spatial	sampling	: AMOSA-II, An
Improved Quadtree	sampling	Method for InSAR Seismic Deformation Inversion, An
Improved Recovery Guarantees and	sampling	Strategies for TV Minimization in Compressive Imaging
Improved	sampling	for Terrestrial and Mobile Laser Scanner Point Cloud Data
Improved	sampling	Methods for Shape Reconstruction of 3-D Buried Targets
Improvement of Lunar Surface Dating Accuracy Utilizing Crater Degradation Model: A Case Study of the Chang'e-5	sampling	Area
Improving Classifier Performance Through Repeated	sampling
Improving Image Matting Using Comprehensive	sampling	Sets
Improving Local Features by Dithering-Based Image	sampling
Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis-Gibbs	sampling
Improving Object Recognition Accuracy and Speed Through Non-Uniform	sampling
Improving	sampling	Criterion for Alpha Matting
Improving the Performance of Automated Rooftop Extraction through Geospatial Stratified and Optimized	sampling
Improving Training Instance Quality in Aerial Image Object Detection With a	sampling	-Balance-Based Multistage Network
IMPSAC: Synthesis of Importance	sampling	and Random Sample Consensus
In-network view re-	sampling	for interactive free viewpoint video streaming
Incorporating object-centered	sampling	and Delaunay tetrahedrization for visual hull reconstruction
Increasing Imaging Resolution by Non-Regular	sampling	and Joint Sparse Deconvolution and Extrapolation
Indicator Functions for Shape Reconstruction Related to the Linear	sampling	Method
Indoor Scene Registration Based on Key Points	sampling	and Hierarchical Feature Learning
Influence of Vegetation, Slope, and Lidar	sampling	Angle on DEM Accuracy
Information-Maximizing	sampling	to Promote Tracking-By-Detection
Informative patches	sampling	for image classification by utilizing bottom-up and top-down information
Insight into the Warping Spatial	sampling	Method in Subsurface Radar Imaging and Its Experimental Validation, An
Integrated Techniques for Self-organisation,	sampling	, Habituation, and Motion-tracking in Visual Robotics Applications
Integrating Color	sampling	into Depth Based Bilayer Segmentation
Interference-plus-Noise Covariance Matrix Reconstruction via Spatial Power Spectrum	sampling	for Robust Adaptive Beamforming
Interpolation and	sampling	on a Honeycomb Lattice
Interrupted-	sampling	Repeater Jamming-Suppression Method Based on a Multi-Stages Multi-Domains Joint Anti-Jamming Depth Network
Intra-prediction with adaptive sub-	sampling
Introducing Fuzzy Spatial Constraints in a Ranked Partitioned	sampling	for Multi-object Tracking
Intrusion Detection in the Era of IoT: Building Trust via Traffic Filtering and	sampling
invariant pattern representation based on nonuniform	sampling	in the human visual system, An
Invariant representation for blur and down-	sampling	transformations
Inverse Acoustic Scattering with Phaseless Far Field Data: Uniqueness, Phase Retrieval, and Direct	sampling	Methods
Inverse random under	sampling	for class imbalance problem and its application to multi-label classification
Inverse-degree	sampling	for Spectral Clustering
Inverse-Like Antagonistic Scene Text Spotting via Reading-Order Estimation and Dynamic	sampling
Inverse-Occurrence	sampling	Approach for Urban Flood Susceptibility Mapping, An
Investigation of the Influences of SWOT	sampling	and Errors on Ocean Eddy Observation, An
Investigations on Temporal	sampling	and Patternless Frame Recovery for Asynchronous Display-Camera Communication
IQDet: Instance-wise Quality Distribution	sampling	for Object Detection
Irregular image sub-	sampling	and reconstruction by adaptive sampling
Irregular image sub-	sampling	and reconstruction by adaptive sampling
Is Heuristic	sampling	Necessary in Training Deep Object Detectors?
IS-MVSNet:Importance	sampling	-Based MVSNet
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware	sampling	and Box-aware Dynamic Convolution
Iterative and Adaptive	sampling	with Spatial Attention for Black-Box Model Explanations
Iterative Coarse-to-Fine Sub-	sampling	Method for Density Reduction of Terrain Point Clouds, An
Iterative Optimization of Quarter	sampling	Masks for Non-Regular Sampling Sensors
Iterative Optimization of Quarter	sampling	Masks for Non-Regular Sampling Sensors
Iterative tomographic image reconstruction by compressive	sampling
Iterative Training	sampling	Coupled With Active Learning for Semisupervised Spectral-Spatial Hyperspectral Image Classification
IVS3D: An Open Source Framework for Intelligent Video	sampling	and Preprocessing to Facilitate 3D Reconstruction
Joint Demosaicing and Subpixel-Based Down-	sampling	for Bayer Images: A Fast Frequency-Domain Analysis Approach
Joint Design of Transmit Waveform and Mismatch Filter in the Presence of Interrupted	sampling	Repeater Jamming
Joint DOA and Frequency Estimation With Sub-Nyquist	sampling	in the Sparse Array System
Joint Optimization of k-t	sampling	Pattern and Reconstruction of DCE MRI for Pharmacokinetic Parameter Estimation
Joint	sampling	Rate and Bit-Depth Optimization in Compressive Video Sampling
Joint	sampling	Rate and Bit-Depth Optimization in Compressive Video Sampling
Joint Under-	sampling	Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction
Jointly Informative and Manifold Structure Representative	sampling	Based Active Learning for Remote Sensing Image Classification
Joy of	sampling	, The
K-centered Patch	sampling	for Efficient Video Recognition
Kernel K-Means	sampling	for Nystrom Approximation
Kernel particle filter: iterative	sampling	for efficient visual tracking
Kernel Recursive Least Squares Algorithm Based on the Nystrom Method With k-Means	sampling
Kernel-based LIME with feature dependency	sampling
KGBoost: A classification-based knowledge base completion method with negative	sampling
Kinetic Quantitation of Cerebral PET-FDG Studies Without Concurrent Blood	sampling	: Statistical Recovery of the Arterial Input Function
Ladybird: Quasi-Monte Carlo	sampling	for Deep Implicit Field Based 3d Reconstruction with Symmetry
Land surface albedo retrieval via kernel-based BRDF modeling: II. An optimal design scheme for the angular	sampling
Lattice-Constrained Stratified	sampling	for Point Cloud Levels of Detail
Layered graph matching by composite cluster	sampling	with collaborative and competitive interactions
Layered Graph Matching with Composite Cluster	sampling
Layered shape matching and registration: Stochastic	sampling	with hierarchical graph representation
LDGAN: Latent Determined Ensemble Helps Removing IID Data Assumption and Cross-Node	sampling	in Distributed GANs
Learnable Skeleton-Aware 3D Point Cloud	sampling
Learning a blind image quality index based on visual saliency guided	sampling	and Gabor filtering
Learning by	sampling	for White Blood Cells Segmentation
Learning facial action units with spatiotemporal cues and multi-label	sampling
Learning From Imbalanced Data With Deep Density Hybrid	sampling
Learning Generative ConvNets via Multi-grid Modeling and	sampling
Learning Representation for Clustering Via Prototype Scattering and Positive	sampling
Learning Semantic Segmentation of Large-Scale Point Clouds With Random	sampling
Learning Sub-	sampling	and Signal Recovery With Applications in Ultrasound Imaging
Learning the	sampling	Pattern for MRI
Learning to Censor by Noisy	sampling
Learning to Recognize Touch Gestures: Recurrent vs. Convolutional Features and Dynamic	sampling
Learning to Zoom: A Saliency-Based	sampling	Layer for Neural Networks
Learning Visual Representations via Language-Guided	sampling
Learning-Based	sampling	for Natural Image Matting
Least Squares Image Estimation for Large Data in the Presence of Noise and Irregular	sampling
Length Estimation for Curves with Non-Uniform	sampling
Length Estimation for Exponential Parameterization and epsilon-Uniform	sampling	s
Less is More: CLIPBERT for Video-and-Language Learning via Sparse	sampling
LiDAR	sampling	Density for Forest Resource Inventories in Ontario, Canada
Light Field	sampling
Likelihood-Based Diverse	sampling	for Trajectory Forecasting
Limited	sampling	Reference Frame for MaskTrack R-CNN
Linear Prefilter for Image	sampling	with Ringing Artifact Control, A
Linear	sampling	Method for Random Sources, The
Linearized Multi-	sampling	for Differentiable Image Transformation
Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation	sampling	: A Novel Workflow to Study Slow Ecotone Dynamics
Local Adaptive Binary Patterns Using Diamond	sampling	Structure for Texture Classification
Local surface	sampling	step estimation for extracting boundaries of planar point clouds
Local topology similarity guided probabilistic	sampling	for mismatch removal
Localized Approach to Abandoned Luggage Detection with Foreground-Mask	sampling	, A
Localized curvature-based combinatorial subgraph	sampling	for large-scale graphs
Long-Short Range Adaptive Transformer With Dynamic	sampling	for 3D Object Detection
Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-balanced	sampling	s
Longitudinal aliasing in multislice helical computed tomography:	sampling	and cone-beam effects
Longitudinal	sampling	and aliasing in spiral CT
Looking for the Devil in the Details: Learning Trilinear Attention	sampling	Network for Fine-Grained Image Recognition
Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local	sampling
lossless morphological	sampling	scheme for segmented image compression, A
Lossy Event Compression Based on Image-Derived Quad Trees and Poisson Disk	sampling
Low Bit-Rate Image Compression via Adaptive Down-	sampling	and Constrained Least Squares Upconversion
Low discrepancy holographic image	sampling
Low	sampling	rate algorithm for wireless ECG systems based on compressed sensing theory
low-complexity metric for the estimation of perceived chrominance sub-	sampling	errors in screen content images, A
low-complexity palette re-indexing technique based on	sampling	-swapping, A
Low-Cost Lipschitz-Independent Adaptive Importance	sampling	of Stochastic Gradients
Low-	sampling	-Frequency Plane wave Medical Ultrasound Imaging based on Adversarial Learning
Low-Shot Validation: Active Importance	sampling	for Estimating Classifier Performance on Rare Categories
LSNet: Learned	sampling	Network for 3D Object Detection from Point Clouds
Lunar Surface	sampling	Feasibility Evaluation Method for Chang'e-5 Mission
Macroblock	sampling	and mode ranking for complexity scalability in mobile H.264 video coding
Making the torch lighter: Areinforced active	sampling	framework for image classification
Mancs: A Multi-task Attentional Network with Curriculum	sampling	for Person Re-Identification
Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With Sparse	sampling
Map Matching for Urban High-	sampling	-Frequency GPS Trajectories
Mapping Height and Aboveground Biomass of Mangrove Forests on Hainan Island Using UAV-LiDAR	sampling
Maria Basalts Chronology of the Chang'E-5	sampling	Site
Markov Chain Monte Carlo shape	sampling	using level sets
Mathematical modeling of clean and noisy ECG signals in a level-crossing	sampling	context
Matrix Completion With Cross-Concentrated	sampling	: Bridging Uniform Sampling and CUR Sampling
Matrix Completion With Cross-Concentrated	sampling	: Bridging Uniform Sampling and CUR Sampling
Matrix Completion With Cross-Concentrated	sampling	: Bridging Uniform Sampling and CUR Sampling
Matrix Completion with Deterministic	sampling	: Theories and Methods
Max-margin analysis based patch	sampling	for discovery of mid-level parts
MBest Struct: M-Best diverse	sampling	for structured tracker
MCMC based	sampling	technique for robust multi-model fitting and visual data segmentation
MCMC Shape	sampling	for Image Segmentation with Nonparametric Shape Priors
Mean Decision Rules Method with Smart	sampling	for Fast Large-Scale Binary SVM Classification
Mean-Shift and Sparse	sampling	-Based SMC-PHD Filtering for Audio Informed Visual Speaker Tracking
Mean-Shift Tracking with Random	sampling
Medical Image Registration Based on Random Line	sampling
Memory-Based Cluster	sampling	for Remote Sensing Image Classification
Memory-efficient distribution-guided experience	sampling	for policy consolidation
MeMu: Metric Correlation Siamese Network and Multi-Class Negative	sampling	for Visual Tracking
Merging Unmanned Aerial Systems (UAS) Imagery and Echo Soundings with an Adaptive	sampling	Technique for Bathymetric Surveys
Meta-sampler: Almost-Universal yet Task-Oriented	sampling	for Point Clouds
Method and apparatus for	sampling	images to simulate movement within a multidimensional space
MGSampler: An Explainable	sampling	Strategy for Video Action Recognition
Minimal Subset Random	sampling	for Pose Determination and Refinement
Minimizing the Effect of	sampling	Jitters in Wireless Sensor Networks
Minimum Rate	sampling	of Signals with Arbitrary Frequency Support
Minimum	sampling	Rates for Linear Shift-Variant Discrete-Time Systems
Mismatching Removal for Feature-Point Matching Based on Triangular Topology Probability	sampling	Consensus
MITFAS: Mutual Information based Temporal Feature Alignment and	sampling	for Aerial Video Action Recognition
Mixed Chroma	sampling	-Rate High Efficiency Video Coding for Full-Chroma Screen Content
Mixed-Bit	sampling	Graphic: When Watermarking Meets Copy Detection Pattern
Mixture Trees for Modeling and Fast Conditional	sampling	with Applications in Vision and Graphics
Mode dependent down-	sampling	and interpolation scheme for high efficiency video coding
Model-Agnostic Boundary-Adversarial	sampling	for Test-Time Generalization in Few-Shot Learning
Model-based approach to spatial-temporal	sampling	of video clips for video object detection by classification
Model-Based Optimization of Spectral	sampling	for the Retrieval of Crop Variables with the PROSAIL Model
Model-Based Synthetic Geoelectric	sampling	for Magnetotelluric Inversion With Deep Neural Networks
Modeling Point Clouds With Self-Attention and Gumbel Subset	sampling
Modified Version of the Direct	sampling	Method for Filling Gaps in Landsat 7 and Sentinel 2 Satellite Imagery in the Coastal Area of Rhone River, A
Modulation Classification via Gibbs	sampling	Based on a Latent Dirichlet Bayesian Network
Monitoring Grassland Seasonal Carbon Dynamics, by Integrating MODIS NDVI, Proximal Optical	sampling	, and Eddy Covariance Measurements
Monte Carlo Non-Local Means: Random	sampling	for Large-Scale Image Filtering
Monte Carlo	sampling	for visual pose tracking
Morphological	sampling
Motion Analysis by Random	sampling	and Voting Process
Motion boundary based	sampling	and 3D co-occurrence descriptors for action recognition
Motion-aided	sampling	and reconstruction
Mouth Cavity Visual Analysis Based on Deep Learning for Oropharyngeal Swab Robot	sampling
Movie Genre Classification by Language Augmentation and Shot	sampling
MTRC-Tolerated Multi-Target Imaging Based on 3D Hough Transform and Non-Equal	sampling	Sparse Solution
Multi-Agent Reinforcement Learning Based Frame	sampling	for Effective Untrimmed Video Recognition
Multi-attribute balanced	sampling	for disentangled GAN controls
Multi-Class Active Learning by Uncertainty	sampling	with Diversity Maximization
Multi-class anisotropic blue noise	sampling	for discrete element pattern generation
Multi-Font and Multi-Size Character Recognition Based on the	sampling	and Quantization of an Unwrapped Contour
multi-kernel based framework for heterogeneous feature selection and over-	sampling	for computer-aided detection of pulmonary nodules, A
Multi-label	sampling	based on local label imbalance
Multi-Resolution Mapping and Accuracy Assessment of Forest Carbon Density by Combining Image and Plot Data from a Nested and Clustering	sampling	Design
Multi-stage	sampling	with Boosting Cascades for Pedestrian Detection in Images and Videos
Multi-target and Multi-camera Object Detection with Monte-Carlo	sampling
Multi-View	sampling	for Relevance Feedback in Image Retrieval
Multi-View Scene Capture by Surfel	sampling
Multi-View Scene Capture by Surfel	sampling	: From Video Streams to Non-Rigid 3D Motion, Shape and Reflectance
Multi-view wide baseline depth estimation robust to sparse input	sampling
Multichannel Consistent	sampling	and Reconstruction Associated With Linear Canonical Transform
Multichannel	sampling	of low light level scenes with unknown shifts
Multichannel	sampling	of Parametric Signals with a Successive Approximation Property
Multidimensional Generalized	sampling	Theorem for wavelet Based Image Superresolution
Multidimensional	sampling	of Isotropically Bandlimited Signals
Multilinear	sampling	Algorithm to Estimate Shapley Values, A
Multiple Classifier Learning by	sampling	System for White Blood Cells Segmentation, A
Multiple importance	sampling	characterization by weighted mean invariance
Multiple Importance	sampling	for Efficient Symbol Error Rate Estimation
Multiple Importance	sampling	for PET
Multiple Resolution Prediction With Deep Up-	sampling	for Depth Video Coding
Multiple-False-Target ISAR Shape Deception Jamming Method Based on Improved Template Multiplication Modulated Time-Delay Algorithm and Sub-Nyquist	sampling	, A
Multiple-step	sampling	for Dense Object Detection and Counting
Multiresolution block	sampling	-based method for texture synthesis
Multiresolution	sampling	Procedure for Analysis and Synthesis of Texture Images
Multiscale	sampling	Based Texture Image Classification
Multiscale	sampling	Geometries and Methods for Deterministic and Stochastic Reconstructions of Magnitude and Phase Spectra of Satellite Imagery
Multispectral Interlaced Sparse	sampling	Photoacoustic Tomography
Multistage	sampling	structure conversion of video signals
N2V2 - Fixing Noise2void Checkerboard Artifacts with Modified	sampling	Strategies and a Tweaked Network Architecture
Neighbourhood Representative	sampling	for Efficient End-to-End Video Quality Assessment
NerfAcc: Efficient	sampling	Accelerates NeRFs
Nerve Structure Segmentation from Ultrasound Images Using Random Under-	sampling	and an SVM Classifier
Neural Batch	sampling	with Reinforcement Learning for Semi-Supervised Anomaly Detection
Neural Field Real-Time Transmission Using Multiple Description Coding with Random Position	sampling
Neural Plenoptic	sampling	: Learning Light-field from Thousands of Imaginary Eyes
Neural surface reconstruction with saliency-guided	sampling	in multi-view
Neural texture transfer assisted video coding with adaptive up-	sampling
new class of	sampling	theorems for Fourier imaging of multiple regions, A
New Conditional	sampling	Strategies for Speeded-up Ransac
new fast motion estimation algorithm based on search window sub-	sampling	and object boundary pixel block matching, A
New Hybrid DCT-Wiener-Based Interpolation Scheme for Video Intra Frame Up-	sampling	, A
New Image Scaling Algorithm Based on the	sampling	Theorem of Papoulis, A
New Image Sensor with Space Variant	sampling	Control on a Focal Plane, A
New irregular	sampling	coding method for transmitting images progressively
New Polyphase Down-	sampling	-Based Multiple Description Image Coding, A
New Retinal Recognition System Using a Logarithmic Spiral	sampling	Grid, A
new	sampling	algorithm for high-quality image matting, A
New	sampling	Method of Auto Focus for Voice Coil Motor in Camera Modules, A
new	sampling	strategy to improve the performance of mobile robot path planning algorithms, A
New	sampling	theorem and multiplicative filtering in the FRFT domain
new semi-fragile image watermarking with robust tampering restoration using irregular	sampling	, A
New Super-Resolution Algorithm Based on Areas Pixels and the	sampling	Theorem of Papoulis, A
New, Satellite NDVI-Based	sampling	Protocol for Grape Maturation Monitoring, A
No reference noise estimation in digital images using random conditional selection and	sampling	theory
Nodal	sampling	: A New Image Reconstruction Algorithm for SMOS
Noise-Avoidance	sampling	for Annotation Missing Object Detection
Noise-Filtered Under-	sampling	Scheme for Imbalanced Classification, A
Noise-	sampling	Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer
non-Lambertian reflection in plenoptic	sampling	, The
Non-local compressive	sampling	recovery
Non-parametric and unsupervised Bayesian classification with Bootstrap	sampling
Non-probability	sampling	network based on anomaly pedestrian trajectory discrimination for pedestrian trajectory prediction
Non-Probability	sampling	Network for Stochastic Human Trajectory Prediction
non-random data	sampling	method for classification model assessment, A
Non-rigid object tracking with elastic structure of local patches and hierarchical	sampling
Non-Uniform Interrupted-	sampling	Repeater Jamming Method for Intra-Pulse Frequency Agile Radar, A
Non-uniform	sampling	for improved appearance-based models
Non-uniform	sampling	of plenoptic signal based on the scene complexity variations for a free viewpoint video system
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier	sampling
Nonuniform MIMO	sampling	and Reconstruction of Multiband Signals in the Fractional Fourier Domain
Nonuniform	sampling	and reconstruction for high resolution satellite images
Nonuniform	sampling	Control for Multibody High-Speed Train Systems With Quantization Mechanisms via Stochastic Faded Channels
Nonuniform	sampling	, image recovery from sparse data and the discrete sampling theorem
Nonuniform	sampling	, image recovery from sparse data and the discrete sampling theorem
Normalized	sampling	for color clustering in medical diagnosis
Note on the	sampling	of Zero Crossings of Two-Dimensional Signals, A
Novel 2-D MMSE Subpixel-Based Image Down-	sampling
Novel Chroma	sampling	Methods for CFA Video Compression in AVC, HEVC and VVC
Novel DCT-Based Image Up-	sampling	Using Learning-Based Adaptive k-NN MMSE Estimation
Novel Framework of Detecting Convective Initiation Combining Automated	sampling	, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data, A
Novel High-Precision Phase-Derived-Range Method for Direct	sampling	LFM Radar, A
Novel Intelligent Method Based on the Gaussian Heatmap	sampling	Technique and Convolutional Neural Network for Landslide Susceptibility Mapping, A
novel partial-to-partial registration method based on	sampling	network, A
Novel Predictor with Optimized	sampling	Method for Hardware-aware NAS, A
Novel	sampling	schemes in magnetic resonance imaging
Novel	sampling	Theorem on the Rotation Group, A
Novel Segmentation Based Depth Map Up-	sampling	, A
Null-	sampling	for Interpretable and Fair Representations
Numerical evaluation of	sampling	bounds for near-optimal reconstruction in compressed sensing
Nyquist Pulses for Sub-Nyquist	sampling	: Application to Underwater Imaging
O3S-MTP: Oriented star	sampling	structure based multi-scale ternary pattern for texture classification
Object Detection in Video with Spatiotemporal	sampling	Networks
Objectness-based smoothing stochastic	sampling	and coherence approximate nearest neighbor for visual tracking
Oblique	sampling	of Projections for Direct Three-Dimensional Reconstruction
OCSampler: Compressing Videos to One Clip with Single-step	sampling
OK-Quantization Theory and Its Relationship to	sampling	Theorem
On dense	sampling	size
On Deterministic	sampling	Patterns for Robust Low-Rank Matrix Completion
On High-Resolution Adaptive	sampling	of Deterministic Signals
On	sampling	Focal Length Values to Solve the Absolute Pose Problem
On	sampling	Spatially-Correlated Random Fields for Complex Geometries
On	sampling	the Spectrum of Approaches Toward Cognitive Vision Systems
On the analysis and design of motion	sampling	structure for advanced motion-compensated prediction
On The Effects of	sampling	Rate and Interpolation in HMM-Based Dynamic Signature Verification
On the Generation of	sampling	Schemes for Magnetic Resonance Imaging
On the Minimum Perceptual Temporal Video	sampling	Rate and Its Application to Adaptive Frame Skipping
On the Reconstruction of Band-Limited Multidimensional Signals from Algebraic	sampling	Contours
On the	sampling	distribution of resubstitution and leave-one-out error estimators for linear classifiers
On the	sampling	of web images for learning visual concept classifiers
On the	sampling	Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification
On the Spatial and Temporal	sampling	Errors of Remotely Sensed Precipitation Products
On the Uniform	sampling	of CIELAB Color Space and the Number of Discernible Colors
On Variable Density Compressive	sampling
On-line map-matching framework for floating car data with low	sampling	rate in urban road networks
On-the-Fly Adaptive k-Space	sampling	for Linear MRI Reconstruction Using Moment-Based Spectral Analysis
One Triangle Three Parallelograms	sampling	Strategy and Its Application in Shape Regression, The
Online Active Extreme Learning Machine With Discrepancy	sampling	for PolSAR Classification
Online view	sampling	for estimating depth from light fields
Opening the Black Box: Hierarchical	sampling	Optimization for Estimating Human Hand Pose
Opening the Black Box: Hierarchical	sampling	Optimization for Hand Pose Estimation
Opportunistic	sampling	-based query processing in wireless sensor networks
Optical Flow and Expansion Based Deep Temporal Up-	sampling	of LIDAR Point Clouds
Optimal coded	sampling	for temporal super-resolution
optimal design of FIR filters with discrete coefficients and image	sampling	application, An
Optimal Dimensionality	sampling	Scheme on the Sphere with Accurate and Efficient Spherical Harmonic Transform for Diffusion MRI, An
Optimal image	sampling	schedule for both image-derived input and output functions in PET cardiac studies
Optimal image	sampling	schedule: a new effective way to reduce dynamic image storage space and functional image processing time
Optimal Importance	sampling	for Tracking in Image Sequences: Application to Point Tracking
Optimal k-space	sampling	in MRSI for images with a limited region of support
Optimal nonlinear	sampling	for video streaming at low bit rates
Optimal Online Data	sampling	or How to Hire the Best Secretaries
Optimal	sampling	Design for Observing and Validating Long-Term Leaf Area Index with Temporal Variations in Spatial Heterogeneities, An
Optimal	sampling	in Array-based Image Formation
Optimal	sampling	in parallel magnetic resonance imaging
optimal	sampling	method for multi-temporal land surface temperature validation over heterogeneous surfaces, An
Optimal	sampling	of color spectra
Optimal	sampling	of Gabor features for face recognition
Optimal	sampling	Operator for Signal Restoration in the Presence of Signal Space and Observation Space Noises
Optimal Sparse	sampling	for Detection of a Known Signal in Nonwhite Gaussian Noise
Optimal-Dimensionality	sampling	for Spin-s-Functions on the Sphere, An
Optimising	sampling	rates for accelerometer-based human activity recognition
Optimising	sampling	Strategies in Coral Reefs Using Large-Area Mosaics
Optimization of Airborne Scatterometer NRCS Semicircular	sampling	for Sea Wind Retrieval
Optimization of Decision-making for Spatial	sampling	in the North China Plain, Based on Remote-Sensing a Priori Knowledge
Optimization of Two-Phase	sampling	Designs With Application to Naturalistic Driving Studies
Optimization over Random and Gradient Probabilistic Pixel	sampling	for Fast, Robust Multi-resolution Image Registration
Optimized Color	sampling	for Robust Matting
Optimized Lifting Scheme for Two-dimensional Quincunx	sampling	Images
Optimized	sampling	distribution based on nonparametric learning for improved compressive sensing performance
Optimized	sampling	for view interpolation in light fields using local dictionaries
Optimized space	sampling	for circular image cube trajectory analysis
Optimizing the Remote Detection of Tropical Rainforest Structure with Airborne Lidar: Leaf Area Profile Sensitivity to Pulse Density and Spatial	sampling
Optimizing the	sampling	Area across an Old-Growth Forest via UAV-Borne Laser Scanning, GNSS, and Radial Surveying
Optimum Design of Multistage Multirate FIR Filter for Audio Signal	sampling	Rate Conversion via a Genetic Algorithm Approach, The
Order Matters: A Distributed	sampling	Method for Multi-Object Tracking
Oropharynx Visual Detection by Using a Multi-Attention Single-Shot Multibox Detector for Human-Robot Collaborative Oropharynx	sampling
OS-DS tracker: Orientation-variant Siamese 3D tracking with Detection based	sampling
Out-of-distribution Detection and Generation using Soft Brownian Offset	sampling	and Autoencoders
Outdoor human motion capture using inverse kinematics and von mises-fisher	sampling
Over-	sampling	Emotional Speech Data Based on Subjective Evaluations Provided by Multiple Individuals
Overcoming Limitations of Mixture Density Networks: A	sampling	and Fitting Framework for Multimodal Future Prediction
Overcoming Parallax and	sampling	Density Issues in Image Mosaicing of Non-Planar Scenes
PA&DA: Jointly	sampling	PAth and DAta for Consistent NAS
PADS: Policy-Adapted	sampling	for Visual Similarity Learning
Panoramic Light Field From Hand-Held Video and Its	sampling	for Real-Time Rendering
Parallel adaptive	sampling	and reconstruction using multi-scale and directional analysis
Parallel selective	sampling	method for imbalanced and large data classification
Parametric OBMC for Pixel-Adaptive Temporal Prediction on Irregular Motion	sampling	Grids
Particle filtering and sparse	sampling	for multi-person 3D tracking
ParticleAugment:	sampling	-based data augmentation
Partition	sampling	: An Active Learning Selection Strategy for Large Database Annotation
Partitioned	sampling	, Articulated Objects, and Interface-Quality Hand Tracking
Pavement crack detection using non-local theory and iterative	sampling
PBS: A Predictive Block	sampling	Algorithm for Desktop Multimedia Video Applications
Perceptual Distributed Compressive Video Sensing via Reweighted	sampling	and Rate-Distortion Optimized Measurements Allocation
Performance and Robustness Analysis for Some Re-	sampling	Detection Techniques in Digital Images
Performance evaluation of a novel	sampling	-based texture synthesis technique using different sized patches
Performance Improvement of Physically Based Spectral Rendering Using Stochastic	sampling
Periocular Recognition Using Retinotopic	sampling	and Gabor Decomposition
Periodic Motion Detection and Estimation via Space-Time	sampling
Permutation Preference Based Alternate	sampling	and Clustering for Motion Segmentation
Permutations Unlabeled Beyond	sampling	Unknown
Phase Error Measurement Algorithm for	sampling	System in Power Fault Recorder
phase problem with structured	sampling	, The
Phase Retrieval via Polarization in Dynamical	sampling
Phase retrieval with unknown	sampling	factors via the two-dimensional chirp z-transform
photometric	sampling	method for facial shape recovery, A
Pill Recognition Using Imprint Information by Two-Step	sampling	Distance Sets
Pixel Binning for High Dynamic Range Color Image Sensor Using Square	sampling	Lattice
Pixel Dissimilarity Measure That Is Insensitive to Image	sampling	, A
Pixel to Patch	sampling	Structure and Local Neighboring Intensity Relationship Patterns for Texture Classification
Pixel-Level Discrete Multiobjective	sampling	for Image Matting
Plane detection in 3D point cloud using octree-balanced density down-	sampling	and iterative adaptive plane extraction
Plenoptic spherical	sampling
Point Cloud Geometry Compression Via Neural Graph	sampling
Point Cloud	sampling	via Graph Balancing and Gershgorin Disc Alignment
Point-based spatial colour	sampling	in Milano-Retinex: a survey
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive	sampling
Poisson Disk	sampling	on the Grassmannnian: Applications in Subspace Optimization
Polarity	sampling	: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
Polishing Decision-Based Adversarial Noise With a Customized	sampling
Polygonal approximation of digital curves using adaptive MCMC	sampling
Pose	sampling	for Efficient Model-Based Recognition
Posterior	sampling	of Scientific Images
Potential Impact of Vertical	sampling	Uncertainty on ICESat-2/ATLAS Terrain and Canopy Height Retrievals for Multiple Ecosystems, The
practical	sampling	method for assessing accuracy of detected land cover/land use change: Theoretical analysis and simulation experiments, A
Precision Evaluation Index System for Remote Sensing Data	sampling	Based on Hexagonal Discrete Grids, A
Predicting the Distribution of Oxytropis ochrocephala Bunge in the Source Region of the Yellow River (China) Based on UAV	sampling	Data and Species Distribution Model
Prediction and	sampling	With Local Graph Transforms for Quasi-Lossless Light Field Compression
Predictive multiple	sampling	algorithm with overlapping integration intervals for linear wide dynamic range integrating image sensors
Prioritized Architecture	sampling	with Monto-Carlo Tree Search
Prioritized Subnet	sampling	for Resource-Adaptive Supernet Training
Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher	sampling
Probabilistic Object Tracking Based on Machine Learning and Importance	sampling
Probabilistic Simplex Component Analysis by Importance	sampling
Probability	sampling	Protocol for Thematic and Spatial Quality Assessment of Classification Maps Generated From Spaceborne/Airborne Very High Resolution Images
Processing A Complex Architectural	sampling	With Meshlab: The Case of Piazza Della Signoria
Progressive graph-signal	sampling	and encoding for static 3D geometry representation
Projection defocus correction using adaptive kernel	sampling	and geometric correction in dual-planar environments
Properties of Space-Time	sampling	and the Extraction of the Optical Flow: The Effects of Motion Uncertainty, The
Pseudo-Marginal MCMC	sampling	for Image Segmentation Using Nonparametric Shape Priors
Pyramid model based Down-	sampling	for image inpainting
QI	sampling	: An Effective Sampling Strategy for Event-Based Sign Language Recognition
Quadratically Constrained Ambiguity Suppression Algorithm for APC/Multichannel SAR Systems With Nonuniform Spatial	sampling
Quantifciation of Aquarius, SMAP, SMOS and Argo-Based Gridded Sea Surface Salinity Product	sampling	Errors
Quantization Error in Spatial	sampling	: Comparison between Square and Hexagonal Pixels
Quasi-Band-Limited Properties of Radon Transforms and Their Implications for Increasing Angular	sampling	Densities
quasi-random	sampling	approach to image retrieval, A
Quasi-Random	sampling	for Condensation
Quasi-Random Single-Point Imaging Using Low-Discrepancy k-Space	sampling
Quaternion DISC-harmonic moments based on healpix	sampling	for fast 2D colour shape retrieval
Query-Efficient Adversarial Attack Based On Latin Hypercube	sampling
Query-Efficient Black-Box Adversarial Attack With Customized Iteration and	sampling
Query-efficient decision-based attack via	sampling	distribution reshaping
Radar Waveform Sidelobe Level Optimality and	sampling
Random impulsive scan for lidar	sampling
Random Noise Suppression of Magnetic Resonance Sounding Data with Intensive	sampling	Sparse Reconstruction and Kernel Regression Estimation
Random	sampling	based SVM for relevance feedback image retrieval
Random	sampling	for fast face sketch synthesis
Random	sampling	for Subspace Face Recognition
Random	sampling	LDA for face recognition
Random	sampling	Local Binary Pattern Encoding Based on Gaussian Distribution
Random	sampling	Nonlinear Optimization for Camera Self-calibration with Modeling of Intrinsic Parameter Space
random	sampling	strategy for piecewise planar scene segmentation, A
Random-	sampling	-based spatial-temporal feature for consumer video concept classification
Randomized	sampling	-Based Fly Local Sensitive Hashing
Ranked Similarity Weighting and Top-nk	sampling	in Deep Metric Learning
Rao-Blackwellized Importance	sampling	of Camera Parameters from Simple User Input with Visibility Preprocessing in Line Space
Rapid training of image classifiers through adaptive, multi-frame	sampling	method
Rare-Event Detection by Quasi-Wang-Landau Monte Carlo	sampling	with Approximate Bayesian Computation
RATSAC - Random Tree	sampling	for Maximum Consensus Estimation
Re-	sampling	for Chinese Sign Language Recognition
Real-Time 3d Face Recognition Using Line Projection And Mesh	sampling
Real-Time 3D multi-person tracking using Monte Carlo Surface	sampling
Real-time disparity estimation using line-wise hybrid recursive matching and cross-bilateral median up-	sampling
Real-time dynamic texture recognition using random	sampling	and dimension reduction
Real-Time High-Resolution Cone-Beam CT Using GPU-Based Multi-Resolution	sampling
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data	sampling	Technique and YOLOv8
Real-time rendering of glossy materials with regular	sampling
Real-Time Stereo 3D Car Detection With Shape-Aware Non-Uniform	sampling
Real-Time Variable	sampling	Technique: DIEM, A
Recognition of Polychromatic Range Images Based on Chromatic	sampling	of Scalar Products and Logarithmic Histograms
Recognizing Shapes via Random Chord	sampling	s
Reconstruction of Concealed Objects in a Corrugated Wall With a Smoothly Varying Roughness Using the Linear	sampling	Method
Reconstruction of images taken by a pair of non-regular	sampling	sensors using correlation based matching
Reconstruction of videos taken by a non-regular	sampling	sensor
Recovering hard-to-find object instances by	sampling	context-based object proposals
Recovery of Low Rank and Jointly Sparse Matrices with Two	sampling	Matrices
Recovery of Surfaces and Functions in High Dimensions:	sampling	Theory and Links to Neural Networks
Reducing communication in federated learning via efficient client	sampling
Reducing frequency-domain artifacts of binary image due to coarse	sampling	by repeated interpolation and smoothing of Radon projections
Reducing randomness of non-regular	sampling	masks for image reconstruction
Reflectance Capture Using Univariate	sampling	of BRDFs
Region and Edge-Adaptive	sampling	and Boundary Completion for Segmentation
Region-of-interest tomography using exponential radial	sampling
Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo	sampling
Regressed Importance	sampling	on Manifolds for Efficient Object Tracking
Regression Tree CNN for Estimation of Ground	sampling	Distance Based on Floating-Point Representation
Regularized image up-	sampling	using a new observation model and the level set method
Relighting with the Reflected Irradiance Field: Representation,	sampling	and Reconstruction
Remembering Both the Machine and the Crowd When	sampling	Points: Active Learning for Semantic Segmentation of ALS Point Clouds
Remote Sensing Based Two-Stage	sampling	for Accuracy Assessment and Area Estimation of Land Cover Changes
Remote Sensing Image Super-Resolution Using Novel Dense-	sampling	Networks
Remote Sensing-Guided	sampling	Design with Both Good Spatial Coverage and Feature Space Coverage for Accurate Farm Field-Level Soil Mapping
Remote Sensing-Guided Spatial	sampling	Strategy over Heterogeneous Surface Ground for Validation of Vegetation Indices Products with Medium and High Spatial Resolution
Remote-Sensing-Based	sampling	Design and Prescription Mapping for Soil Acidity
Removing Photography Artifacts using Gradient Projection and Flash-Exposure	sampling
Repeatable texture	sampling	with interchangeable patches
Repetition-aware Image Sequence	sampling	for Recognizing Repetitive Human Actions
Representative	sampling	with certainty propagation for image retrieval
Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist	sampling	Rate, A
Research on an Intra-Pulse Orthogonal Waveform and Methods Resisting Interrupted-	sampling	Repeater Jamming within the Same Frequency Band
Research on Application of Weighted	sampling	Bayesian Network Parameter Learning in Bridge Condition Assessment
Resolution-Free Point Cloud	sampling	Network with Data Distillation
Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth	sampling
Restoring Causal Signals by Analytical Continuation: A Generalized	sampling	Theorem for causal Signals
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative	sampling
Rethinking	sampling	Strategies for Unsupervised Person Re-Identification
Retina	sampling	Feature Detection and Saccades; A Statistical Perspective.
Retrieval of Aerosol Components Using Multi-Wavelength Mie-Raman Lidar and Comparison with Ground Aerosol	sampling
revisit to human action recognition from depth sequences: Guided SVM-	sampling	for joint selection, A
Ring and Radius	sampling	Based Phasor Field Diffraction Algorithm for Non-Line-of-Sight Reconstruction
RiSSNet: Contrastive Learning Network with a Relaxed Identity	sampling	Strategy for Remote Sensing Image Semantic Segmentation
Road tracking using particle filters with partition	sampling	and auxiliary variables
Robotic estimation: the inefficiency of random-walk	sampling
Robust 3D Action Recognition Through	sampling	Local Appearances and Global Distributions
Robust 3D registration of CBCT images aggregating multiple estimates through random	sampling
Robust and Consistent	sampling
Robust and Fast Moving Object Detection in a Non-Stationary Camera Via Foreground Probability Based	sampling
Robust and Scalable Column/Row	sampling	from Corrupted Big Data
Robust bayesian cameras motion estimation using random	sampling
robust contour	sampling	and tensor-based approach to facial beard and mustache shape segmentation and matching, A
Robust Covariance Adaptation in Adaptive Importance	sampling
Robust Estimation of Texture Flow via Dense Feature	sampling
Robust experience replay	sampling	for multi-agent reinforcement learning
Robust image compression-encryption via scrambled block bernoulli	sampling	with diffusion noise
Robust Model Fitting Using Higher Than Minimal Subset	sampling
Robust multichannel	sampling
Robust null space representation and	sampling	for view-invariant motion trajectory analysis
Robust Particle Tracker via Markov Chain Monte Carlo Posterior	sampling	, A
Robust Tracking and Structure from Motion with	sampling	Method
Robust visual data segmentation:	sampling	from distribution of model parameters
Role of Keypoint	sampling	on the Classification of Melanomas in Dermoscopy Images Using Bag-of-Features, The
Role of	sampling	Design When Predicting Spatially Dependent Ecological Data With Remote Sensing
Roughness and Shape of Specular Lobe Surfaces Using Photometric	sampling	Method
Row-interleaved	sampling	for stereoscopic video coding targeting polarized displays
RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-	sampling	-Based Video Coding
RSCFed: Random	sampling	Consensus Federated Semi-supervised Learning
S3Pool: Pooling with Stochastic Spatial	sampling
SAC-COT: Sample Consensus by	sampling	Compatibility Triangles in Graphs for 3-D Point Cloud Registration
SAKS:	sampling	Adaptive Kernels From Subspace for Point Cloud Graph Convolution
saliency map based on	sampling	an image into random rectangular regions of interest, A
SALISA: Saliency-Based Input	sampling	for Efficient Video Object Detection
Sample4Geo: Hard Negative	sampling	For Cross-View Geo-Localisation
SampleNet: Differentiable Point Cloud	sampling
	sampling	Agnostic Feature Representation for Long-Term Person Re-Identification
	sampling	Algebraic Varieties for Robust Camera Autocalibration
	sampling	Algorithm for Occlusion Robust Multi Target Detection, A
	sampling	and Aliasing Consequences of Quarter-Detector Offset Use in Helical CT
	sampling	and Ideal Reconstruction on the 3D Diamond Grid
	sampling	and interpolation of the plenoptic function
	sampling	and Ontologically Pooling Web Images for Visual Concept Learning
	sampling	and processing of color signals
	sampling	and Processing of Color Signals
	sampling	and Re-Weighting: Towards Diverse Frame Aware Unsupervised Video Person Re-Identification
	sampling	and Reconstruction of Diffused Sparse Graph Signals From Successive Local Aggregations
	sampling	and Reconstruction of Multiband Signals in Multiresolution Subspaces Associated With the Fractional Wavelet Transform
	sampling	and Reconstruction of Sparse Signals in Fractional Fourier Domain
	sampling	and Reconstruction of Surfaces and Higher Dimensional Manifolds
	sampling	and Reconstruction of Time-Varying Imagery with Application in Video Systems, The
	sampling	and Reconstruction on a Diamond Grid and the Tetrahedral Digital Waveguide Mesh
	sampling	and Reconstruction with Adaptive Meshes
	sampling	and series expansion for linear canonical transform
	sampling	and Surface Reconstruction with Adaptive-Size Meshes
	sampling	approach for singular system computation of a radiation operator
	sampling	Approach to Ultra-fast Object Location, A
	sampling	approaches for applying DBSCAN to large datasets
	sampling	Based Approach to Line Scratch Removal from Motion Picture Frames, A
	sampling	based approximate spectral clustering ensemble for partitioning datasets
	sampling	bedrooms
	sampling	below the Nyquist density using spectral subtiles
	sampling	Bounds for 2-D Vector Field Tomography
	sampling	concerns in scanline algorithms
	sampling	Conditions for the Circular Radon Transform
	sampling	Considerations for Multilevel Crossing Analysis
	sampling	Criterion for Optimizing a Surface Light Field, A
	sampling	Density for Image Analysis
	sampling	Equivariant Self-Attention Networks for Object Detection in Aerial Images
	sampling	expansion in function spaces associated with the linear canonical transform
	sampling	for Shape from Focus in Optical Microscopy
	sampling	for unsupervised domain adaptive object detection
	sampling	graphs from a probabilistic generative model
	sampling	High-Dimensional Gaussian Distributions for General Linear Inverse Problems
	sampling	is Matter: Point-Guided 3D Human Mesh Reconstruction
	sampling	Less and Reconstructing More for Magnetic Resonance Imaging
	sampling	Matters in Deep Embedding Learning
	sampling	method for processing contours drawn with an uncertain stroke order and number, A
	sampling	Minimal Subsets with Large Spans for Robust Estimation
	sampling	Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
	sampling	of 3D Point Cloud Via Gershgorin Disc Alignment
	sampling	of bandlimited signals in the linear canonical transform domain
	sampling	of compact signals in offset linear canonical transform domains
	sampling	of Images for Efficient Model-Based Vision
	sampling	of Non-flat Morphology for Grey Value Images
	sampling	of Signals Bandlimited to a Disc in the Linear Canonical Transform Domain
	sampling	of Time-Resolved Full-Waveform LIDAR Signals at Sub-Nyquist Rates
	sampling	On Concentric Circles
	sampling	optimization for on-chip compressive video
	sampling	Optimization for Printer Characterization by Direct Search
	sampling	Optimization for Printer Characterization by Greedy Search
	sampling	Pattern Cube: A Representation and Evaluation Tool for Optical Capturing Systems, The
	sampling	pattern design algorithm for atomic force microscopy images
	sampling	Piecewise Convex Unmixing and Endmember Extraction
	sampling	piecewise smooth signals and its application to image up-sampling
	sampling	piecewise smooth signals and its application to image up-sampling
	sampling	Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior
	sampling	Propagation Attention With Trimap Generation Network for Natural Image Matting
	sampling	Relevant Points for Surface Registration
	sampling	Representative Examples for Dimensionality Reduction and Recognition: Bumping LDA
	sampling	Robustness in Gradient Analysis of Urban Material Mixtures
	sampling	Shape Contours Using Optimization over a Geometric Graph
	sampling	Strategies for Bag-of-Features Image Classification
	sampling	strategies for performance improvement in cascaded face regression
	sampling	Strategies for Real-Time Action Recognition
	sampling	Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data
	sampling	strategies for super-resolution in multi-slice MRI
	sampling	Strategies to Improve Passive Optical Remote Sensing of River Bathymetry
	sampling	Strategy for Detailed Urban Land Use Classification: A Systematic Analysis in Shenzhen
	sampling	Systems matched to the input image class
	sampling	Technique for Defining Segmentation Error Margins with Application to Structural Brain MRI
	sampling	Techniques for Large-Scale Object Detection From Sparsely Annotated Objects
	sampling	Techniques for Monte Carlo Matrix Multiplication with Applications to Image Processing
	sampling	the 2-D Radon transform
	sampling	the Disparity Space Image
	sampling	the Inverse Set of a Neuron
	sampling	the Synthetic World: Creating a Link Between Landscape Simulation and the Sensor Web
	sampling	Theorem Approach to Traffic Sensor Optimization, A
	sampling	Theorem for a 2D Surface, A
	sampling	Theorem for Deconvolution in Two Dimensions, A
	sampling	Theorem for Fractional Bandlimited Signals: A Self-Contained Proof. Application to Digital Holography
	sampling	Uncertainties of Long-Term REMOTE-Sensing Suspended Sediments Monitoring over China's Seas: Impacts of Cloud Coverage and Sediment Variations
	sampling	Wisely: Deep Image Embedding by Top-K Precision Optimization
	sampling	with level set for pigmented skin lesion segmentation
	sampling	, Resampling and Colour Constancy
	sampling	, synthesis, and input devices
	sampling	-aware polar descriptors on the sphere
	sampling	-based approach for efficient clustering in large datasets, A
	sampling	-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints
	sampling	-Based Density Peaks Clustering Algorithm for Large-Scale Data, A
	sampling	-Based Multiview Reconstruction without Correspondences for 3D Edges
	sampling	-Based Path Planning for High-Quality Aerial 3D Reconstruction of Urban Scenes
	sampling	-Based Path Planning for UAV Collision Avoidance
	sampling	-Based Path Planning in Highly Dynamic and Crowded Pedestrian Flow
	sampling	-Based Robot Motion Planning
	sampling	-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
	sampling	-Resampling Based Bayesian Learning Approach for Object Tracking, A
	sampling	: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image
Sand Ripple Characterization Using an Extended Synthetic Aperture Sonar Model and Parallel	sampling	Method
Satellite and In Situ	sampling	Mismatches: Consequences for the Estimation of Satellite Sea Surface Salinity Uncertainties
Scalable coding of stream cipher encrypted images via adaptive	sampling
Scalable Structured Compressive Video	sampling	With Hierarchical Subspace Learning
Scale-Consistent Fusion: From Heterogeneous Local	sampling	to Global Immersive Rendering
Scale-invariant	sampling	for supervised image segmentation
Scene	sampling	for the concentric mosaics technique
Scheduled	sampling	for one-shot learning via matching network
SCSampler:	sampling	Salient Clips From Video for Efficient Action Recognition
Sea Ice Extent Retrieval Using CSCAT 12.5 km	sampling	Data
Sea of Images: A Dense	sampling	Approach for Rendering Large Indoor Environments
Seaweed Habitats on the Shore: Characterization through Hyperspectral UAV Imagery and Field	sampling
SEEDS: Superpixels Extracted Via Energy-Driven	sampling
Segmentation of color images via reversible jump MCMC	sampling
Selective	sampling	based on the variation in label assignments
Selective	sampling	Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration
Selective Sparse	sampling	for Fine-Grained Image Recognition
Self-	sampling	Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
Self-supervised 2D face presentation attack detection via temporal sequence	sampling
Self-Supervised 3D Skeleton Representation Learning with Active	sampling	and Adaptive Relabeling for Action Recognition
Self-Supervised Depth Completion via Adaptive	sampling	and Relative Consistency
Self-Supervised Representation Learning for Videos by Segmenting via	sampling	Rate Order Prediction
Semantic Segmentation Refinement Using Entropy and Boundary-guided Monte Carlo	sampling	and Directed Regional Search
Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential	sampling
Semantic-Guided Pixel	sampling	for Cloth-Changing Person Re-Identification
Sentinel-2	sampling	design and reference fire perimeters to assess accuracy of Burned Area products over Sub-Saharan Africa for the year 2019
Shannon information based adaptive	sampling	for action recognition
Shape Preserving	sampling	and Reconstruction of Grayscale Images
Shape reconstruction and texture	sampling	by active rectification and virtual view synthesis
Shape Space	sampling	Distributions and Their Impact on Visual Tracking
Sharp Attention Network via Adaptive	sampling	for Person Re-Identification
Shot Noise Analysis for Differential	sampling	in Indirect Time of Flight Cameras
SiamSampler: Video-Guided	sampling	for Siamese Visual Tracking
Similarity Measure of Time Series With Different	sampling	Frequencies Based on Context Density Consistency and Dynamic Time Warping
simple and effective relevance-based point	sampling	for 3D shapes, A
Simulating	sampling	Efficiency in Airborne Laser Scanning Based Forest Inventory
Simulation of ISAR Imaging for a Space Target and Reconstruction Under Sparse	sampling	via Compressed Sensing
Simultaneous 3D object tracking and camera parameter estimation by Bayesian methods and transdimensional MCMC	sampling
Simultaneous Partitioned	sampling	for Articulated Object Tracking
Simultaneous Pose Estimation of Multiple People using Multiple-View Cues with Hierarchical	sampling
Single Frequency Inverse Obstacle Scattering: A Sparsity Constrained Linear	sampling	Method Approach
Single Image Super-Resolution Using Gaussian Process Regression With Dictionary-Based	sampling	and Student-t Likelihood
Single Path One-shot Neural Architecture Search with Uniform	sampling
Single Photon Lidar in Mobile Laser Scanning: The	sampling	Rate Problem And Initial Solutions Via Spatial Correlations
Single- and Multiple-Shell Uniform	sampling	Schemes for Diffusion MRI Using Spherical Codes
Single-Image Super-Resolution Using Active-	sampling	Gaussian Process Regression
Single-Pass UAV-Borne GatorEye LiDAR	sampling	as a Rapid Assessment Method for Surveying Forest Structure
Sinusoidal	sampling	Enhanced Compressive Camera for High Speed Imaging
Sketch based Community Detection via Representative Node	sampling
SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth	sampling
Slice	sampling	Particle Belief Propagation
SMART: Joint	sampling	and Regression for Visual Tracking
Social Signal Detection by Probabilistic	sampling	DNN Training
Soft Margin Bayes-Point-Machine Classification via Adaptive Direction	sampling
Soft Shadow Maps: Efficient	sampling	of Light Source Visibility
SoftTriple Loss: Deep Metric Learning Without Triplet	sampling
Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA)	sampling	Approach and Geostatistical Interpolation Techniques
Solving Person Re-identification in Non-overlapping Camera using Efficient Gibbs	sampling
SORAG: Synthetic Data Over-	sampling	Strategy on Multi-Label Graphs
Sorting Spatial Data for	sampling	and Other Geographic Applications
Space-	sampling	Method for 3D Cinemas
Space-Time	sampling	with Motion Uncertainty: Constraints on Space-Time Filtering
Space-Time-Brightness	sampling	Using an Adaptive Pixel-Wise Coded Exposure
Space-Variant Descriptor	sampling	for Action Recognition Based on Saliency and Eye Movements
Sparse Arrays and	sampling	for Interference Mitigation and DOA Estimation in GNSS
Sparse Depth	sampling	for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation
Sparse Image Reconstruction on the Sphere: Implications of a New	sampling	Theorem
Sparse One-Grab	sampling	with Probabilistic Guarantees
Sparse pixel	sampling	for appearance edit propagation
Sparse radial	sampling	LBP for writer identification
sparse	sampling	model for 3D face recognition, A
Sparse	sampling	Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
Sparse	sampling	-Based Framework for Semantic Fast-Forward of First-Person Videos, A
Sparse Signal Reconstruction Using Blind Super-Resolution With Arbitrary	sampling
Sparse-to-dense Depth Completion Revisited:	sampling	Strategy and Graph Construction
Spatial and Temporal	sampling	Properties of a Large GNSS-R Satellite Constellation
Spatial Quantification of Cropland Soil Erosion Dynamics in the Yunnan Plateau Based on	sampling	Survey and Multi-Source LUCC Data
Spatial Random	sampling	: A Structure-Preserving Data Sketching Tool
Spatial	sampling	and Grouping Information Entropy Strategy Based on Kernel Fuzzy C-Means Clustering Method for Hyperspectral Band Selection
spatial	sampling	criterion for sonar obstacle detection, A
Spatial	sampling	of Printed Patterns
Spatial	sampling	Strategies for the Effect of Interpolation Accuracy
Spatial Stratification Method for the	sampling	Design of LULC Classification Accuracy Assessment: A Case Study in Beijing, China
Spatially Adaptive Inference with Stochastic Feature	sampling	and Interpolation
Spatially Stratified Correspondence	sampling	for Real-Time Point Cloud tracking
Spatially variant flexible	sampling	control integrated on an image sensor
Spatiotemporally Representative and Cost-Efficient	sampling	Design for Validation Activities in Wanglang Experimental Site
Specification of the Observation Model for Regularized Image Up-	sampling
Spectral analysis for	sampling	image-based rendering data
Spectral sharpening by spherical	sampling
Spectrum-Blind Minimum-Rate	sampling	and Reconstruction of 2-D Multiband Signals
Spherical Center-Surround for Video Saliency Detection Using Sparse	sampling
Split and Match: Example-Based Adaptive Patch	sampling	for Unsupervised Style Transfer
SPSN: Superpixel Prototype	sampling	Network for RGB-D Salient Object Detection
Square Root	sampling	Law for Signal Recovery, A
square-root	sampling	approach to fast histogram-based search, A
SSBNet: Improving Visual Recognition Efficiency by Adaptive	sampling
SST-VLM: Sparse	sampling	-twice Inspired Video-language Model
Stable and Robust	sampling	Strategies for Compressive Imaging
STAR: A Segmentation-Based Approximation of Point-Based	sampling	Milano Retinex for Color Image Enhancement
Statistical fusion and	sampling	of scientific images
Statistical Model-Based Detector via Texture Weight Map: Application in Re-	sampling	Authentication
Statistical Properties of Mean Stand Biomass Estimators in a Lidar-Based Double	sampling	Forest Survey Design
Statistical Threat Assessment for General Road Scenes Using Monte Carlo	sampling
Statistically Segregated k-Space	sampling	for Accelerating Multiple-Acquisition MRI
Stereo under Sequential Optimal	sampling	: A Statistical Analysis Framework for Search Space Reduction
Stimulus	sampling	With 360-Videos: Examining Head Movements, Arousal, Presence, Simulator Sickness, and Preference on a Large Sample of Participants and Videos
Stochastic Image Denoising by	sampling	from the Posterior Distribution
Straight	sampling	Network for Point Cloud Learning
Stratified feature	sampling	method for ensemble clustering of high dimensional data
Stratified	sampling	for feature subspace selection in random forests for high dimensional data
Stratified	sampling	of satellite images with a systematic grid of points
Stratified	sampling	Voxel Classification for Segmentation of Intraretinal and Subretinal Fluid in Longitudinal Clinical OCT Data
structure-guided conditional	sampling	model for video resolution enhancement, A
Structure-Preserving and Color-Restoring Up-	sampling	for Single Low-Light Image
Structure-Regularized Compressive Tracking With Online Data-Driven	sampling
Study of the Effect of Temporal	sampling	Frequency on DSCOVR Observations Using the GEOS-5 Nature Run Results (Part I): Earth's Radiation Budget
Study of the Effect of Temporal	sampling	Frequency on DSCOVR Observations Using the GEOS-5 Nature Run Results (Part II): Cloud Coverage
Study on Surface Reflectance	sampling	Method and Uncertainty Based on Airborne Hyperspectral Images
Study on Video Generation Based on High-Density Temporal	sampling	, A
Study Relating Image	sampling	Rate and Image Pattern Recognition, A
Su-	sampling	Based Active Learning for Large-Scale Histopathology Image
Sub-Nyquist	sampling	and Gridless Frequency Estimation Based on Channelization
Sub-Nyquist	sampling	of Multiple Sinusoids
Sub-Nyquist SAR via Quadrature Compressive	sampling	with Independent Measurements
Subpixel Alignment of MRI Data Under Cartesian and Log-Polar	sampling
Subset	sampling	for Progressive Neural Network Learning
Super-Fibonacci Spirals: Fast, Low-Discrepancy	sampling	of SO(3)
Super-Resolution of Dynamic Scenes Using	sampling	Rate Diversity
Superpixel	sampling	Networks
Superresolution Video Reconstruction with Arbitrary	sampling	Lattices and Nonzero Aperture Time
Suppression of PSNR Fluctuation in Motion-Compensated Temporal 1/3-Transform Through Non-Separable Sub-	sampling
Suppression of	sampling	moire in color printing by spline-based least-squares prefiltering
Survey on Image-Based Rendering: Representation,	sampling	and Compression, A
SVD and Log-Log Frequency	sampling	with Gabor Kernels for Invariant Pictorial Recognition
SWIGS: A Swift Guided	sampling	Method
Symmetry detection by random	sampling	and voting process
Synthesis of Directional Texture Based on Multiresolution Block	sampling	and Constrained Block Movement
Synthesis of large realistic iris databases using patch-based	sampling
Systematic Street View	sampling	: High Quality Annotation of Power Infrastructure in Rural Ontario
Template-Based Isometric Deformable 3D Reconstruction with	sampling	-Based Focal Length Self-Calibration
Temporal down-	sampling	algorithm of high frame-rate video for reducing inter-frame prediction error
Temporal residual data sub-	sampling	in LDV representation format
Temporal Up-	sampling	of LIDAR Measurements Based on a Mono Camera
Temporal Up-	sampling	of Planar Long-Range Doppler LiDAR Wind Speed Measurements Using Space-Time Conversion
Tensor-Based Parametric Spectrum Cartography from Irregular Off-Grid	sampling	s
Terrestrial Laser Scanner Resolution: Numerical Simulations and Experiments on Spatial	sampling	Optimization
Text-Conditioned	sampling	Framework for Text-to-Image Generation with Masked Generative Models
Texture Synthesis by Non-parametric	sampling
Theoretical and Experimental Consideration on Interference in Resolutions between	sampling	Theorem and OK-Quantization Theory, A
Thermal	sampling	Depth Correction Method for Land Surface Temperature Estimation From Satellite Passive Microwave Observation Over Barren Land, A
Three-Dimensional SAR Focusing From Multipass Signals Using Compressive	sampling
Time and space efficient spectral clustering via column	sampling
Time-	sampling	Errors of Earth Radiation From Satellites: Theory for Monthly Mean Albedo
Time-	sampling	Errors of Earth Radiation From Satellites: Theory for Outgoing Longwave Radiation
Tomographic Approach for	sampling	Multidimensional Signals with Finite Rate of Innovation
Topologically Consistent Multi-View Face Inference Using Volumetric	sampling
Total Operating Characteristic from Stratified Random	sampling	with an Application to Flood Mapping, The
Toward Optimal Rate Allocation to	sampling	Sets for Bandlimited Graph Signals
Towards a general	sampling	theory for shape preservation
Towards Fine-grained	sampling	for Active Learning in Object Detection
Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed	sampling	and Meta-Learning
Towards understanding the character of quality	sampling	in deep learning face recognition
Tracking by	sampling	and Integrating Multiple Trackers
Tracking by	sampling	Trackers
Tracking humans interacting with the environment using efficient hierarchical	sampling	and layered observation models
Tracking multiple objects through occlusion with online	sampling	and position estimation
Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive Basin Hopping Monte Carlo	sampling
Tracking through Singularities and Discontinuities by Random	sampling
Tracking Using Multiple Linear Searches and Motion Direction	sampling
Trading off salience and uncertainty in	sampling	a visual scene
Trajectory parsing by cluster	sampling	in spatio-temporal graph
Trajectory Privacy Protection Method Based on Random	sampling	Differential Privacy, A
Transcoding with quality enhancement and irregular	sampling
Tree-Shaped	sampling	Based Hybrid Multi-Scale Feature Extraction for Texture Classification
Triplet Relationship Guided	sampling	Consensus for Robust Model Estimation
Truncated Matched Filter Method for Interrupted	sampling	Repeater Jamming Suppression Based on Jamming Reconstruction, A
Tubal-	sampling	: Bridging Tensor and Matrix Completion in 3-D Seismic Data Reconstruction
Two-Dimensional Compressed Sensing Using the Cross-	sampling	Approach for Low-Field MRI Systems
Two-stage adaptive random Fourier	sampling	method for image reconstruction
UASNet: Uncertainty Adaptive	sampling	Network for Deep Stereo Matching
UAV Data as an Alternative to Field	sampling	to Monitor Vineyards Using Machine Learning Based on UAV/Sentinel-2 Data Fusion
UAV-Borne LiDAR Crop Point Cloud Enhancement Using Grasshopper Optimization and Point Cloud Up-	sampling	Network
UHR-DeepFMT: Ultra-High Spatial Resolution Reconstruction of Fluorescence Molecular Tomography Based on 3-D Fusion Dual-	sampling	Deep Neural Network
Ultra-Low Power QRS Complex Detection Algorithm Based on Down-	sampling	Wavelet Transform, An
Ultra-Wideband Imaging via Frequency Diverse Array with Low	sampling	Rate
Unbalanced Data Classification Model Using Hybrid	sampling	Technique for Fraud Detection, An
Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson	sampling
Uncertainty-Aware Interactive LiDAR	sampling	for Deep Depth Completion
Uncertainty-Aware Policy	sampling	and Mixing for Safe Interactive Imitation Learning
Understanding Hyperbolic Metric Learning through Hard Negative	sampling
Underwater Single-Photon Lidar Equipped with High-	sampling	-Rate Multi-Channel Data Acquisition System
Unified Framework for Robustness on Diverse	sampling	Errors, A
Uniform and Non-uniform	sampling	Methods for Sub-linear Time k-means Clustering
Uniformly	sampling	multi-resolution analysis for image-based relighting
Unsupervised Domain Adaptation via Importance	sampling
Unsupervised Learning of Geometric	sampling	Invariant Representations for 3D Point Clouds
Unsupervised Point Cloud Object Co-segmentation by Co-contrastive Learning and Mutual Attention	sampling
Unsupervised	sampling	Promoting for Stochastic Human Trajectory Prediction
Up-	sampling	oriented frame rate reduction
Use Of Satellite Imagery To Guide Field Plot	sampling	Scheme For Biomass Estimation In Ghanaian Forest, The
USEAQ: Ultra-Fast Superpixel Extraction via Adaptive	sampling	From Quantized Regions
usefulness of diffusion-weighted readout-segmented EPI and fast spin echo with BLADE (PROPELLER) k-space	sampling	: A comparison with single-shot EPI for diffusion-weighted imaging in ischemic stroke patients, The
User-Driven	sampling	Model for Large-Scale Geographical Point Data Visualization via Convolutional Neural Networks, A
Using down-	sampling	for multiscale analysis of texture images
Using Importance	sampling	for Bayesian Feature Space Filtering
Using Line Segments as Structuring Elements for	sampling	-Invariant Measurements
Using Optical Satellite Data and Airborne Lidar Data for a Nationwide	sampling	Survey
Using Sentinel-2 for Simplifying Soil	sampling	and Mapping: Two Case Studies in Umbria, Italy
Using Sentinel-2 Images for Soil Organic Carbon Content Mapping in Croplands of Southwestern France. The Usefulness of Sentinel-1/2 Derived Moisture Maps and Mismatches between Sentinel Images and	sampling	Dates
Validating Ionospheric Scintillation Indices Extracted from 30s-	sampling	-Interval GNSS Geodetic Receivers with Long-Term Ground and In-Situ Observations in High-Latitude Regions
Validation of Land Cover Maps in China Using a	sampling	-Based Labeling Approach
Value of OpenStreetMap Historical Contributions as a Source of	sampling	Data for Multi-Temporal Land Use/Cover Maps, The
Vanishing point-based line	sampling	for efficient axis-based people localization
Vanishing Point-based Line	sampling	for Real-time People Localization
Variable Density Compressed Image	sampling
Variable Density	sampling	Scheme for Compressive Fourier Transform Interferometry, A
Variable Density	sampling	with Continuous Trajectories
Variational Diffusion Autoencoders with Random Walk	sampling
Vector Addressing for Non-Sequential	sampling	in FIR Image Filtering
Vector	sampling	Expansions and Linear Canonical Transform
Versatile, full-spectrum, and swift network	sampling	for model generation
Video compression complexity reduction with adaptive down-	sampling
Video object detection speedup using staggered	sampling
Video style transfer by consistent adaptive patch	sampling
View-dependent nonuniform	sampling	for image-based rendering
Vision and Attention Theory Based	sampling	for Continuous Facial Emotion Recognition
Vision Transformer with Progressive	sampling
Visual Analytics Using Graph	sampling	and Summarization on Multitouch Displays
Visual contour tracking based on sequential importance	sampling	/resampling algorithm
Visual Hull Construction Using Adaptive	sampling
Visual inspection of multivariate volume data based on multi-class noise	sampling
Visual	sampling	Processes Revisited: Replicating and Extending Senders (1983) Using Modern Eye-Tracking Equipment
Visual Tracking by	sampling	in Part Space
Visual Tracking by	sampling	Tree-Structured Graphical Models
Visual Tracking Using Sequential Importance	sampling	with a State Partition Technique
Voronoi tree models for distribution-preserving	sampling	and generation
Water Multi-Parameter	sampling	Design Method Based on Adaptive Sample Points Fusion in Weighted Space
Web-Net: A Novel Nest Networks with Ultra-Hierarchical	sampling	for Building Extraction from Aerial Imageries
Weighted	sampling	for Large-Scale Boosting
Weighted Sparse	sampling	and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos, A
WETM: A word embedding-based topic model with modified collapsed Gibbs	sampling	for short text
What is an Appropriate Temporal	sampling	Rate to Record Floating Car Data with a GPS?
ß-Random Walk: Collaborative	sampling	and weighting mechanisms based on a single parameter for node embeddings

1487 for sampling