Index for spars

_	sparsability	_
Learning to Explore Distillability and	sparsability	: A Joint Framework for Model Compression

_	sparse	_
2-manifold reconstruction from	sparse	visual features
2D Feature Selection by	sparse	Matrix Regression
2D nonlocal	sparse	representation for image denoising
2D Quaternion	sparse	Discriminant Analysis
3-D Active Contour Segmentation Based on	sparse	Linear Combination of Training Shapes (SCoTS)
3-D Reconstruction from	sparse	Views using Monocular Vision
3-D Scattering Image	sparse	Reconstruction via Radar Network
3-D Scene Graph: A	sparse	and Semantic Representation of Physical Environments for Intelligent Agents
360 Panorama Synthesis from a	sparse	Set of Images with Unknown Field of View
3D Action Classification Using	sparse	Spatio-temporal Feature Representations
3D cartoon face rigging from	sparse	examples
3D face recognition using	sparse	spherical representations
3D face recognition with	sparse	spherical representations
3D face	sparse	reconstruction based on local linear fitting
3D Geometry and Motion Estimations of Maneuvering Targets for Interferometric ISAR With	sparse	Aperture
3D human pose estimation from image using couple	sparse	coding
3D image reconstruction from	sparse	measurement of wideband millimeter wave SAR experiments
3D object retrieval based on	sparse	coding in weak supervision
3D Part-Based	sparse	Tracker with Automatic Synchronization and Registration
3D Parts Decomposition from	sparse	Range Data Information Criterion
3D Point Cloud Attribute Compression Using Geometry-Guided	sparse	Representation
3D Reconstruction and Texture Optimization Using a	sparse	Set of RGB-D Cameras
3D Reconstruction of a Collapsed Historical Site from	sparse	Set of Photographs and Photogrammetric Map
3D reconstruction of bat flight kinematics from	sparse	multiple views
3D Scene Mesh from CNN Depth Predictions and	sparse	Monocular SLAM
3D Semantic Segmentation with Submanifold	sparse	Convolutional Networks
3D Shape Estimation With an Enhanced	sparse	Representation Approach
3D Skeletal Gesture Recognition via	sparse	Coding of Time-Warping Invariant Riemannian Trajectories
3D	sparse	Deformation Signature for Dynamic Face Recognition
3D	sparse	point reconstructions of atmospheric nuclear detonations
3D	sparse	SAR Image Reconstruction Based on Cauchy Penalty and Convex Optimization
Abnormal Behavior Detection via	sparse	Reconstruction Analysis of Trajectory
Abnormal event detection and localisation in traffic videos based on group	sparse	topical coding
Abnormal Event Detection in Crowded Scenes Using	sparse	Representation
Abnormal event detection using local	sparse	representation
Abnormal Event Detection via Compact Low-Rank	sparse	Learning
Abnormality detection in crowd videos by tracking	sparse	components
Aboveground Tree Biomass Estimation of	sparse	Subalpine Coniferous Forest with UAV Oblique Photography
Abundance Estimation for Bilinear Mixture Models via Joint	sparse	and Low-Rank Representation
Accelerated low-rank	sparse	metric learning for person re-identification
Accelerated MR-STAT Reconstructions Using	sparse	Hessian Approximations
Accelerated robust	sparse	coding for fast face recognition
Accelerated	sparse	nonnegative matrix factorization for unsupervised feature learning
Accelerated	sparse	optimization for missing data completion
Accelerating Convolutional	sparse	Coding for Curvilinear Structures Segmentation by Refining SCIRD-TS Filter Banks
Accelerating monotone fast iterative shrinkage-thresholding algorithm with sequential subspace optimization for	sparse	recovery
Accelerating Overrelaxed and Monotone Fast Iterative Shrinkage-Thresholding Algorithms With Line Search for	sparse	Reconstructions
Accelerating	sparse	Recovery by Reducing Chatter
Accelerometer-Based Gait Recognition by	sparse	Representation of Signature Points With Clusters
Accounting for Geometric Anisotropy in	sparse	Magnetic Data Using a Modified Interpolation Algorithm
Accurate Detection of Proteins in Cryo-Electron Tomograms from	sparse	Labels
Accurate HEp-2 cell classification based on	sparse	Coding of Superpixels
accurate method for 3D object reconstruction from unordered	sparse	views, An
Accurate	sparse	Feature Regression Forest Learning for Real-Time Camera Relocalization
Action recognition based on	sparse	motion trajectories
Action recognition based on spatial-temporal pyramid	sparse	coding
Action Recognition in Video by	sparse	Representation on Covariance Manifolds of Silhouette Tunnels
Action Recognition in Video Using	sparse	Coding and Relative Features
Action recognition using global spatio-temporal features derived from	sparse	representations
Action Recognition Using Low-Rank	sparse	Representation
Action Recognition Using Nonnegative Action Component Representation and	sparse	Basis Selection
Action Recognition Using	sparse	Representation on Covariance Manifolds of Optical Flow
Action Recognition Using Super	sparse	Coding Vector with Spatio-temporal Awareness
Action recognition via	sparse	representation of characteristic frames
Action recognition with approximate	sparse	coding
Action unit detection using	sparse	appearance descriptors in space-time video volumes
Active Online Learning for Interactive Segmentation Using	sparse	Gaussian Processes
Active Orthogonal Matching Pursuit for	sparse	Subspace Clustering
Active Surveillance via Group	sparse	Bayesian Learning
Activity Recognition Using First-Person-View Cameras Based on	sparse	Optical Flows
Activity-Based Person Identification Using Discriminative	sparse	Projections and Orthogonal Ensemble Metric Learning
Adaptive ADMM for Dictionary Learning in Convolutional	sparse	Representation
Adaptive and Robust	sparse	Coding for Laser Range Data Denoising and Inpainting
Adaptive Beamforming with Sidelobe Level Control for Multiband	sparse	Linear Array
adaptive bimodal recognition framework using	sparse	coding for face and ear, An
Adaptive Boosting for Image Denoising: Beyond Low-Rank Representation and	sparse	Coding
Adaptive Deep	sparse	Semantic Modeling Framework for High Spatial Resolution Image Scene Classification
Adaptive Dictionary Learning in	sparse	Gradient Domain for Image Recovery
Adaptive Hashing with	sparse	Modification
Adaptive Iterated Shrinkage Thresholding-Based LP-Norm	sparse	Representation for Hyperspectral Imagery Target Detection
Adaptive low rank and	sparse	decomposition of video using compressive sensing
Adaptive momentum variance for attention-guided	sparse	adversarial attacks
Adaptive Multiple Subtraction Based on	sparse	Coding
Adaptive non-local Euclidean medians	sparse	unmixing for hyperspectral imagery
Adaptive Nonlocal	sparse	Representation for Dual-Camera Compressive Hyperspectral Imaging
Adaptive RD Optimal	sparse	Coding With Quantization for Image Compression
Adaptive regularised L_2-boosting on clustered	sparse	coefficients for single image super-resolution
Adaptive reweighted quaternion	sparse	learning for data recovery and classification
Adaptive Safety Evaluation for Connected and Automated Vehicles With	sparse	Control Variates
Adaptive	sparse	Bayesian Regression with Variational Inference for Parameter Estimation
Adaptive	sparse	Coding for Painting Style Analysis
Adaptive	sparse	coding on PCA dictionary for image denoising
Adaptive	sparse	Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
Adaptive	sparse	Pairwise Loss for Object Re-Identification
Adaptive	sparse	polynomial regression for camera lens simulation
Adaptive	sparse	Representations for Video Anomaly Detection
Adaptive	sparse	Subpixel Mapping With a Total Variation Model for Remote Sensing Imagery
Adaptive	sparse	Vector Tracking Via Online Bayesian Learning
Adaptive Spectral-Spatial Compression of Hyperspectral Image With	sparse	Representation
Adaptive Speech Dereverberation Using Constrained	sparse	Multichannel Linear Prediction
Adaptive Super-Resolution for Remote Sensing Images Based on	sparse	Representation With Global Joint Dictionary Model
Adaptive Support-Driven	sparse	Recovery STAP Method with Subspace Penalty
Adaptive Tiling: Applying Fixed-size Systolic Arrays To	sparse	Convolutional Neural Networks
adaptive transfer scheme based on	sparse	representation for figure-ground segmentation, An
Adaptive Two Phase	sparse	Representation Classifier for Face Recognition
Adaptive Waveform Optimization for MIMO Radar Imaging Based on	sparse	Recovery
Adjacency Matrix Construction Using	sparse	Coding for Label Propagation
Adjusting samples for obtaining better L2-norm minimization based	sparse	representation
ADMM for image restoration based on nonlocal simultaneous	sparse	Bayesian coding
ADMM penalty parameter selection with Krylov subspace recycling technique for	sparse	coding
ADMM-qSPICE-Based	sparse	DOA Estimation Method for MIMO Radar, An
ADMM-SRNet: Alternating Direction Method of Multipliers Based	sparse	Representation Network for One-Class Classification
Adversarial Defense by Stratified Convolutional	sparse	Coding
Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via	sparse	-Modeled Signals
Adversarial steganography based on	sparse	cover enhancement
AdvMask: A	sparse	adversarial attack-based data augmentation method for image classification
Aero-optic thermal radiation effects correction with a low-frequency prior and a	sparse	constraint in the gradient domain
AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for	sparse	Semantic Segmentation Network
Affine Approximation for Direct Batch Recovery of Euclidian Structure and Motion from	sparse	Data
Affine-Constrained Group	sparse	Coding and Its Application to Image-Based Classifications
Aggregated	sparse	Attention for Steering Angle Prediction
Air-Writing with	sparse	Network of Radars using Spatio-Temporal Learning
Airborne Downward Looking	sparse	Linear Array 3-D SAR Heterogeneous Parallel Simulation
Airborne Downward-Looking	sparse	Linear Array 3-D SAR Imaging via 2-D Adaptive Iterative Reweighted Atomic Norm Minimization
Airborne Passive Bistatic Radar Clutter Suppression Algorithm Based on Root Off-Grid	sparse	Bayesian Learning
Aircraft Target Classification for Conventional Narrow-Band Radar with Multi-Wave Gates	sparse	Echo Data
Algorithm for Parallel Reconstruction of Jointly	sparse	Tensors with Applications to Hyperspectral Imaging, An
Alignment of	sparse	freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation
Alpha Matting With KL-Divergence-Based	sparse	Sampling
Alzheimer's disease early detection from	sparse	data using brain importance maps
Analysis of Sketched IRLS for Accelerated	sparse	Residual Regression, An
Analysis of	sparse	Hash: An efficient embedding of set-similarity via sparse projections
Analysis of WD Face Dictionary for	sparse	Coding Based Face Recognition
Analysis	sparse	coding models for image-based classification
Analysis-form	sparse	phase retrieval using variable-splitting
Analyzing images containing multiple	sparse	patterns with neural networks
Anatomical triangulation: from	sparse	landmarks to dense annotation of the skeleton in CT images
Ancient Document Layout Analysis: Autoencoders meet	sparse	Coding
Animation of trees in wind using	sparse	motion capture data
Anisotropic Interpolation of	sparse	Generalized Image Samples
Anisotropic Interpolation of	sparse	Images
Anisotropic Third-Order Regularization for	sparse	Digital Elevation Models
Anomaly detection based on	sparse	coding with two kinds of dictionaries
Anomaly Detection Based on Stacked	sparse	Coding With Intraframe Classification Strategy
Anomaly Detection for Images Using Auto-encoder Based	sparse	Representation
Anomaly Detection in Hyperspectral Images Based on Low-Rank and	sparse	Representation
Anomaly detection in video using two-part	sparse	dictionary in 170 FPS
Anomaly detection via 3D-HOF and fast double	sparse	representation
Anti-noise Fusion Method for the Infrared and the Visible Image Based upon	sparse	Representation, An
Application of A Simple Landsat-MODIS Fusion Model to Estimate Evapotranspiration over A Heterogeneous	sparse	Vegetation Region
application of	sparse	Code Shrinkage to image steganalysis based on supervised learning, An
Application of	sparse	Regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado
Applications of	sparse	Representation and Compressive Sensing
Approach for Constructing	sparse	Kernel Classifier, An
Approach to model human appearance based on	sparse	representation for human tracking in surveillance
Approximate Cross Channel Color Mapping from	sparse	Color Correspondences
Approximate Search with Quantized	sparse	Representations
Approximate	sparse	Multinomial Logistic Regression for Classification
Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and	sparse	Representation Based Classification
Approximation and Compression With	sparse	Orthonormal Transforms
APUNet: Attention-guided upsampling network for	sparse	and non-uniform point cloud
Arabic characters recognition in natural scenes using	sparse	coding for feature representations
Archetypal Analysis and Structured	sparse	Representation for Hyperspectral Anomaly Detection
Are	sparse	representations really relevant for image classification?
Are Straight-Through gradients and Soft-Thresholding all you need for	sparse	Training?
Arranging and Interpolating	sparse	Unorganized Feature Points With Geodesic Circular Arc
Artifact-Free Wavelet Denoising: Non-convex	sparse	Regularization, Convex Optimization
ASAG: Building Strong One-Decoder-Layer	sparse	Detectors via Adaptive Sparse Anchor Generation
ASAG: Building Strong One-Decoder-Layer	sparse	Detectors via Adaptive Sparse Anchor Generation
ASIC: Aligning	sparse	in-the-wild Image Collections
Assessing the Performance of the Satellite-Based Precipitation Products (SPP) in the Data-	sparse	Himalayan Terrain
Assessment of GPM and TRMM Multi-Satellite Precipitation Products in Streamflow Simulations in a Data-	sparse	Mountainous Watershed in Myanmar
Assessment of Hydrologic- and Flood-Induced Land Deformation in Data-	sparse	Regions Using GRACE/GRACE-FO Data Assimilation, The
Assessment of	sparse	-based inpainting for retinal vessel removal
Associative3d: Volumetric Reconstruction from	sparse	Views
Asymmetric	sparse	Kernel Approximations for Large-Scale Visual Search
Atom specific multiple kernel dictionary based	sparse	Representation Classifier for medium scale image classification
Attention reweighted	sparse	subspace clustering
Attribute Augmentation with	sparse	Coding
Attribute compression for	sparse	point clouds using graph transforms
Attributed Relational Graph Matching with	sparse	Relaxation and Bistochastic Normalization
Audio-visual biometric recognition via joint	sparse	representations
Augmented Lagrangian-Based	sparse	Representation Method with Dictionary Updating for Image Deblurring
Augmented	sparse	Representation Classifier for Blurred Face Recognition
AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and	sparse	Scribble Annotations from OSM Data
Auto-Calibrated Parallel Imaging Reconstruction for Arbitrary Trajectories Using k-Space	sparse	Matrices (kSPA)
Auto-Grouped	sparse	Representation for Visual Analysis
Autogrouped	sparse	Representation for Visual Analysis
Automated Cephalometric Landmark Localization Using	sparse	Shape and Appearance Models
Automated Recovery of Compressedly Observed	sparse	Signals From Smooth Background
Automated variability selection in time-domain imaging surveys using	sparse	representations with learned dictionaries
automatic 3D expression recognition framework based on	sparse	representation of conformal images, An
Automatic Augmentation and Meshing of	sparse	3D Scene Structure
Automatic Change Detection in	sparse	Repeat CT Scanning
Automatic Deep	sparse	Multi-Trial Vector-based Differential Evolution clustering with manifold learning and incremental technique
Automatic Detection of Learnability under Unreliable and	sparse	User Feedback
Automatic Eigentemplate Learning for	sparse	Template Tracker
Automatic facial attribute analysis via adaptive	sparse	representation of random patches
Automatic Feature Learning for Spatio-Spectral Image Classification With	sparse	SVM
Automatic Hypergraph Generation for Enhancing Recommendation With	sparse	Optimization
Automatic Light Scene Setting Through Image-Based	sparse	Light Effect Approximation
Automatic Modulation Classification Using Deep Learning Based on	sparse	Autoencoders With Nonnegativity Constraints
Automatic Object Cosegmentation in	sparse	Multiview Images
Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace	sparse	Shape Composition
Automatic Regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using	sparse	Data, An
Automatic	sparse	Pruning Endmember Extraction Algorithm with a Combined Minimum Volume and Deviation Constraint, An
Automatic Spatial-Spectral Feature Selection for Hyperspectral Image via Discriminative	sparse	Multimodal Learning
Automatic target recognition based on simultaneous	sparse	representation
Automatically mining Relevant Variable Interactions Via	sparse	Bayesian Learning
AvatarPoser: Articulated Full-Body Pose Tracking from	sparse	Motion Sensing
Avatars Grow Legs: Generating Smooth Human Motion from	sparse	Tracking Inputs with Diffusion Model
Average Performance of Orthogonal Matching Pursuit (OMP) for	sparse	Approximation
Averaged Properties of the Residual Error in	sparse	Signal Reconstruction
Back in the US-SR: Unlimited Sampling and	sparse	Super-Resolution With Its Hardware Validation
Background-Foreground Modeling Based on Spatiotemporal	sparse	Subspace Clustering
Backward Motion for Estimation Enhancement in	sparse	Visual Odometry
Bad Data Analysis with	sparse	Sensors for Leak Localisation in Water Distribution Networks
Balancing search space partitions by	sparse	coding for distributed redundant media indexing and retrieval
Band selection of hyperspectral image by	sparse	manifold clustering
Band Subset Selection Approach Based on	sparse	Self-Representation and Band Grouping for Hyperspectral Image Classification, A
Base line estimation using	sparse	nonlinear operators
Base selection in estimating	sparse	foreground in video
Batch color classification using bag of colors and discriminative	sparse	coding
Batch Recovery of Multiple Views with Missing Data Using Direct	sparse	Solvers
Bayesian Approach to	sparse	Model Selection in Statistical Shape Models, A
Bayesian Blind Deconvolution with General	sparse	Image Priors
Bayesian Compressive Sensing Approaches for the Reconstruction of Two-Dimensional	sparse	Scatterers Under TE Illuminations
Bayesian Framework for	sparse	Representation-Based 3-D Human Pose Estimation, A
Bayesian Harmonic Modelling of	sparse	and Irregular Satellite Remote Sensing Time Series of Vegetation Indexes: A Story of Clouds and Fires
Bayesian Learning of	sparse	Classifiers
Bayesian Learning of	sparse	Multiscale Image Representations
Bayesian logistic regression with	sparse	general representation prior for multispectral image classification
Bayesian Matching Pursuit: A Finite-Alphabet	sparse	Signal Recovery Algorithm for Quantized Compressive Sensing
Bayesian Network for online evaluation of	sparse	features based multitarget tracking, A
Bayesian Path Inference Using	sparse	GPS Samples With Spatio-Temporal Constraints
Bayesian	sparse	Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States, A
Bayesian	sparse	hierarchical model for image denoising
Bayesian	sparse	Inference Approach in near-field wideband aeroacoustic imaging, A
Bayesian	sparse	regularization for parallel MRI reconstruction using complex Bernoulli-Laplace mixture priors
Bayesian	sparse	representation for hyperspectral image super resolution
Bayesian-Compressive-Sampling-Based Inversion for Imaging	sparse	Scatterers, A
Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by	sparse	Audio-Visual Samples
Beam-Space Post-Doppler Reduced-Dimension STAP Based on	sparse	Bayesian Learning
Beard and mustache segmentation using	sparse	classifiers on self-quotient images
Behavior recognition via	sparse	spatio-temporal features
Benchmark for	sparse	Coding: When Group Sparsity Meets Rank Minimization, A
Beyond SVD:	sparse	projections onto exemplar orthonormal bases for compact image representation
BICAV: a block-iterative parallel algorithm for	sparse	systems with pixel-related weighting
Bidirectional Convolutional Recurrent	sparse	Network (BCRSN): An Efficient Model for Music Emotion Recognition
Bidirectional	sparse	representations for multi-shot person re-identification
Bilateral Filter Regularized L2	sparse	Nonnegative Matrix Factorization for Hyperspectral Unmixing
Bilayer	sparse	Topic Model for Scene Analysis in Imbalanced Surveillance Videos
Bilevel	sparse	coding for coupled feature spaces
Bimodal Co-	sparse	Analysis Model for Image Processing, A
Binarizing	sparse	Convolutional Networks for Efficient Point Cloud Analysis
Binary	sparse	Nonnegative Matrix Factorization
Binary	sparse	signal recovery algorithms based on logic observation
Bioinspired Random Projections for Robust,	sparse	Classification
Biological modeling of human visual system for object recognition using GLoP filters and	sparse	coding on multi-manifolds
Biomarker discovery for	sparse	classification of brain images in Alzheimer's disease
Bit Allocation Method for	sparse	Source Coding, A
Black-Box	sparse	Adversarial Attack via Multi-Objective Optimisation CVPR Proceedings
Blind Audiovisual Source Separation Based on	sparse	Redundant Representations
Blind Audiovisual Source Separation using	sparse	Representations
Blind Decomposition of Transmission Light Microscopic Hyperspectral Cube Using	sparse	Representation
Blind Deconvolution From Multiple	sparse	Inputs
Blind Deconvolution of Images Using Optimal	sparse	Representations
Blind hyperspectral image super resolution via simultaneously	sparse	and TV constraint
Blind Hyperspectral Unmixing Using Total Variation and L_q	sparse	Regularization
Blind Image Deblurring Based on	sparse	Prior of Dictionary Pair
Blind image deblurring using non-negative	sparse	approximation
Blind image deblurring via coupled	sparse	representation
Blind Image Deblurring via Salient Structure Detection and	sparse	Representation
Blind image restoration with	sparse	priori regularization for passive millimeter-wave images
Blind Image Separation using	sparse	Representation
Blind motion deblurring from a single image using	sparse	approximation
Blind Reversible Data Hiding Method for High Dynamic Range Images Taking Advantage of	sparse	Histogram, A
Blind screen content image quality measurement based on	sparse	feature learning
Blind source separation of more sources than mixtures using	sparse	mixture models
Blind Source Separation Using Multinode	sparse	Representation
Blind spatial unmixing of multispectral images: New methods combining	sparse	component analysis, clustering and non-negativity constraints
Blind spectral unmixing based on	sparse	component analysis for hyperspectral remote sensing imagery
Blind Spectral Unmixing Based on	sparse	Nonnegative Matrix Factorization
Blind System Identification Using	sparse	Learning for TDOA Estimation of Room Reflections
Block and Group Regularized	sparse	Modeling for Dictionary Learning
Block compressive sensing of image and video with nonlocal Lagrangian multiplier and patch-based	sparse	representation
Block Fixed Point Continuation Algorithm for Block-	sparse	Reconstruction, A
Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally	sparse	Signals
Block	sparse	Estimator for Grid Matching in Single Snapshot DoA Estimation
Block	sparse	representation for pattern classification: Theory, extensions and applications
Block-Row	sparse	Multiview Multilabel Learning for Image Classification
Block-	sparse	RPCA for Consistent Foreground Detection
Block-	sparse	RPCA for Salient Motion Detection
Block-	sparse	signal recovery based on orthogonal matching pursuit via stage-wise weak selection
Block-wise constrained	sparse	graph for face image representation
BlockCopy: High-Resolution Video Processing with Block-	sparse	Feature Propagation and Online Policies
BoDiffusion: Diffusing	sparse	Observations for Full-Body Human Motion Synthesis
Boosting-Based Visual Tracking Using Structural Local	sparse	Descriptors
Bottom-up saliency detection with	sparse	representation of learnt texture atoms
Boundary handling for convolutional	sparse	representations
Bounded	sparse	photon-limited image recovery
Brain Tumor Classification in MRI Scans Using	sparse	Representation
Brain tumor classification using	sparse	coding and dictionary learning
Brain-Source Imaging: From	sparse	to tensor models
BRDF Estimation for Faces from a	sparse	Dataset Using a Neural Network
Breaking Text-Based CAPTCHA with	sparse	Convolutional Neural Networks
Bregman Itoh-Abe Methods for	sparse	Optimisation
Bregmanized Nonlocal Regularization for Deconvolution and	sparse	Reconstruction
Brushstroke based	sparse	hybrid convolutional neural networks for author classification of Chinese ink-wash paintings
Building Extraction from Remote Sensing Images with	sparse	Token Transformers
Building	sparse	3D representations from a Set of Calibrated Panoramic Images
Calibration method for	sparse	multi-view cameras by bridging with a mobile camera
Can Lateral Inhibition for	sparse	Coding Help Explain V1 Neuronal Responses To Natural Stimuli?
CAPPA: Continuous-Time Accelerated Proximal Point Algorithm for	sparse	Recovery
Cardiac motion estimation in ultrasound images using spatial and	sparse	regularizations
Cascade Deep Networks for	sparse	Linear Inverse Problems
Cascaded	sparse	color-localized matching for logo retrieval
Cascaded	sparse	Spatial Bins for Efficient and Effective Generic Object Detection
Case Study on the Effect of Atmospheric Density Calibration on Orbit Predictions with	sparse	Angular Data, A
Catchment-Scale Flood Modelling in Data-	sparse	Regions Using Open-Access Geospatial Technology
Cauchy Matching Pursuit for Robust	sparse	Representation and Classification
Cell imaging beyond the diffraction limit using	sparse	deconvolution spatial light interference microscopy
Cell volume estimation from a	sparse	collection of noisy confocal image slices
Centralized	sparse	representation for image restoration
Challenges in	sparse	Image Reconstruction
Change detection and classification of land cover in multispectral satellite imagery using clustering of	sparse	approximations (CoSA) over learned feature dictionaries
Channel Estimation for Underwater Acoustic Communications in Impulsive Noise Environments: A	sparse	, Robust, and Efficient Alternating Direction Method of Multipliers-Based Approach
Citywide Spatial-Temporal Travel Time Estimation Using Big and	sparse	Trajectories
Class Probability Propagation of Supervised Information Based on	sparse	Subspace Clustering for Hyperspectral Images
Class-Dependent	sparse	Representation Classifier for Robust Hyperspectral Image Classification
Class-Specific Reconstruction Transfer Learning via	sparse	Low-Rank Constraint
Class-specific	sparse	codes for representing activities
Class-Specific	sparse	Multiple Kernel Learning for Spectral-Spatial Hyperspectral Image Classification
Classification based on	sparse	representation and Euclidian distance
Classification based on weighted	sparse	representation using smoothed L0 norm with non-negative coefficients
Classification of clouds in satellite imagery using over-complete dictionary via	sparse	representation
Classification of high-dimensional data using the	sparse	Matrix Transform
Classification of Histology Sections via Multispectral Convolutional	sparse	Coding
Classification of PolSAR Image Using Neural Nonlocal Stacked	sparse	Autoencoders with Virtual Adversarial Regularization
Classification via semi-supervised multi-random subspace	sparse	representation
Classification via	sparse	Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image
Classification with emotional faces via a robust	sparse	classifier
Classification-Based Model for Multi-Objective Hyperspectral	sparse	Unmixing, A
Classifying Pollen Using Robust Sequence Alignment of	sparse	Z-Stack Volumes
Classifying	sparse	Vegetation in a Proglacial Valley Using UAV Imagery and Random Forest Algorithm
Classwise	sparse	and Collaborative Patch Representation for Face Recognition
Click Prediction for Web Image Reranking Using Multimodal	sparse	Coding
Click to Move: Controlling Video Generation with	sparse	Motion
Close Approximation of Kullback-Leibler Divergence for	sparse	Source Retrieval
Close the loop: Joint blind image restoration and recognition with	sparse	representation prior
Cloud Removal Based on	sparse	Representation via Multitemporal Dictionary Learning
Cloud Removal From Sentinel-2 Image Time Series Through	sparse	Reconstruction From Random Samples
Cloud-Based Actor Identification With Batch-Orthogonal Local-Sensitive Hashing and	sparse	Representation
Cluster constraint based	sparse	NMF for hyperspectral imagery unmixing
Cluster Sampling Method for Image Matting via	sparse	Coding, A
Cluster-based image super-resolution via jointly low-rank and	sparse	representation
Cluster-based multi-task	sparse	Representation for efficient face recognition
Clutter Removal in Through-the-Wall Radar Imaging Using	sparse	Autoencoder With Low-Rank Projection
CMV100: A dataset for people tracking and re-identification in	sparse	camera networks
CNN Driven	sparse	Multi-level B-Spline Image Registration
Co-segmentation of Textured 3D Shapes with	sparse	Annotations
Co-SLAM: Joint Coordinate and	sparse	Parametric Encodings for Neural Real-Time SLAM
Co-	sparse	Textural Similarity for Interactive Segmentation
Coarse-to-Fine	sparse	Transformer for Hyperspectral Image Reconstruction
Code-Aided Channel Tracking and Decoding Over	sparse	Fast-Fading Multipath Channels With an Application to Train Backbone Networks
CodedVTR: Codebook-based	sparse	Voxel Transformer with Geometric Guidance
Cognitive	sparse	Imaging Method for MIMO Radar under Wideband Interference
Coherent array imaging with	sparse	arrays
Collaborating frames: Temporally weighted	sparse	representation for visual tracking
Collaboration and spatialization for an efficient multi-person tracking via	sparse	representations
Collaborative Dictionary Learning and Soft Assignment for	sparse	Coding of Image Features
Collaborative object tracking model with local	sparse	representation
Collaborative representation of blur invariant deep	sparse	features for periocular recognition from smartphones
Collaborative representation of deep	sparse	filtered features for robust verification of smartphone periocular images
Collaborative	sparse	Approximation for Multiple-Shot Across-Camera Person Re-identification
Collaborative	sparse	Coding for Multiview Action Recognition
Collaborative	sparse	Hyperspectral Unmixing Using L_0 Norm
Collaborative	sparse	Regression for Hyperspectral Unmixing
Collaborative	sparse	regression using spatially correlated supports-Application to hyperspectral unmixing
Collaborative	sparse	Representation in Dissimilarity Space for Classification of Visual Information
Collaborative	sparse	representation leaning model for RGBD action recognition
Color demosaicking with	sparse	representations
Color image denoising via monogenic matrix-based	sparse	representation
Color Image Denoising via	sparse	3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space
Color image fusion with extend joint	sparse	model
Color Image Quality Assessment Based on	sparse	Representation and Reconstruction Residual
Color	sparse	Representations for Image Processing: Review, Models, and Prospects
Colour compressed sensing imaging via	sparse	difference and fractal minimisation recovery
Colour image steganography method based on	sparse	representation
Combinatorics of Local Constraints in Model-Based Recognition and Localization from	sparse	Data, The
Combined Machine Learning and Residual Analysis Approach for Improved Retrieval of Shallow Bathymetry from Hyperspectral Imagery and	sparse	Ground Truth Data, A
Combined	sparse	and Collaborative Representation for Hyperspectral Target Detection
Combining a Two Source Energy Balance Model Driven by MODIS and MSG-SEVIRI Products with an Aggregation Approach to Estimate Turbulent Fluxes over	sparse	and Heterogeneous Vegetation in Sahel Region (Niger)
Combining LBP and SIFT in	sparse	Coding for Categorizing Scene Images
Combining PCA and LFA for Surface Reconstruction from a	sparse	Set of Control Points
Combining	sparse	and dense descriptors with temporal semantic structures for robust human action recognition
Combining synthesis	sparse	with analysis sparse for single image super-resolution
Combining synthesis	sparse	with analysis sparse for single image super-resolution
Comment on 'Joint	sparse	principal component analysis' by S. Yi et al. (Pattern Recognition, vol. 61, pp. 524-536, 2017)
Comments on Image Denoising by	sparse	3-D Transform-Domain Collaborative Filtering
Comments on Iterative Re-Constrained Group	sparse	Face Recognition With Adaptive Weights Learning
Community discovery in networks with deep	sparse	filtering
Compact MQDF classifiers using	sparse	coding for handwritten Chinese character recognition
Compact	sparse	Coding for Ground-Based Cloud Classification
Compacting Binary Neural Networks by	sparse	Kernel Selection
Comparative Analysis of Digital Elevation Model Generation Methods Based on	sparse	Modeling
Comparing partial least squares (PLS) discriminant analysis and	sparse	PLS discriminant analysis in detecting and mapping Solanum mauritianum in commercial forest plantations using image texture
Comparison Between Three	sparse	Unmixing Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra, A
comparison of methods for improving the lossless compression of images with	sparse	histograms, A
Comparison of	sparse	point distribution models
Compensated Convexity Methods for Approximations and Interpolations of Sampled Functions in Euclidean Spaces: Applications to Contour Lines,	sparse	Data, and Inpainting
Complex artefact suppression for	sparse	reconstruction based on compensation approach in X-ray computed tomography
Complex nonseparable oversampled lapped transform for	sparse	representation of millimeter wave radar image
Complex-Image-Based	sparse	SAR Imaging and its Equivalence
Complex-Valued	sparse	SAR-Image-Based Target Detection and Classification
Compressed Channel Sensing: A New Approach to Estimating	sparse	Multipath Channels
Compressed Image Restoration via Artifacts-Free PCA Basis Learning and Adaptive	sparse	Modeling
Compressed Remote Sensing Of	sparse	Objects
Compressed Sensing Doppler Ultrasound Reconstruction Using Block	sparse	Bayesian Learning
Compressed sensing image reconstruction via adaptive	sparse	nonlocal regularization
Compressed Sensing-Based Inpainting of Aqua Moderate Resolution Imaging Spectroradiometer Band 6 Using Adaptive Spectrum-Weighted	sparse	Bayesian Dictionary Learning
Compressibility Constrained	sparse	Representation With Learnt Dictionary for Low Bit-Rate Image Compression
Compressing	sparse	Feature Vectors Using Random Ortho-Projections
Compression of	sparse	and Dense Dynamic Point Clouds: Methods and Standards
Compressive Detection of Stochastic	sparse	Signals With Unknown Sparsity Degree
Compressive Hyperspectral Imaging via	sparse	Tensor and Nonlinear Compressed Sensing
Compressive Imaging and Characterization of	sparse	Light Deflection Maps
Compressive Radar Imaging of Stationary Indoor Targets With Low-Rank Plus Jointly	sparse	and Total Variation Regularizations
Compressive Sensing Image Restoration Using Adaptive Curvelet Thresholding and Nonlocal	sparse	Regularization
Compressive Sensing Matrix Design for Fast Encoding and Decoding via	sparse	FFT
Compressive Sensing of	sparse	Tensors
Compressive Sensing Reconstruction Based on Standardized Group	sparse	Representation
Compressive Spectral Video Sensing using the Convolutional	sparse	Coding framework CSC4D
compressive-sensing based watermarking scheme for	sparse	image tampering identification, A
Computationally Efficient Formulation of	sparse	Color Image Recovery in the JPEG Compressed Domain
Computationally Efficient	sparse	Aperture ISAR Autofocusing and Imaging Based on Fast ADMM
Computing Volume Descriptions from	sparse	3-D Data
Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group	sparse	Coding
CondenseNet V2:	sparse	Feature Reactivation for Deep Networks
Conditional information gain networks as	sparse	mixture of experts
Conditional random fields versus template-matching in MT phrasing tasks involving	sparse	training data
Confidence Propagation through CNNs for Guided	sparse	Depth Regression
Confidence Regions for Statistical Model Based Shape Prediction From	sparse	Observations
Conformal and Low-Rank	sparse	Representation for Image Restoration
Connecting Missing Links: Object Discovery from	sparse	Observations Using 5 Million Product Images
Connections Between Deep Equilibrium and	sparse	Representation Models With Application to Hyperspectral Image Denoising
Consensus Based Distributed	sparse	Bayesian Learning by Fast Marginal Likelihood Maximization
Consensus Convolutional	sparse	Coding
Consensus Sparsity: Multi-Context	sparse	Image Representation via L8-Induced Matrix Variate
Consistent	sparse	Representation for Abnormal Event Detection
Consistent	sparse	Representation for Video-Based Face Recognition
Constrained Convolutional	sparse	Coding for Parametric Based Reconstruction of Line Drawings
Constrained Reconstruction of	sparse	Cardiac MR DTI Data
Constrained	sparse	Representation Model for Hyperspectral Anomaly Detection, A
Constrained	sparse	Subspace Clustering with Side-Information
Constrained	sparse	Texture Synthesis
Constrained	sparse	-Representation-Based Spatio-Temporal Anomaly Detector for Moving Targets in Hyperspectral Imagery Sequences, A
Constructing a Nonnegative Low-Rank and	sparse	Graph With Data-Adaptive Features
Constructing a	sparse	convolution matrix for shift varying image restoration problems
Constructing Deep	sparse	Coding Network for image classification
Content authentication of halftone video via flickering as	sparse	signal
Content based image retrieval with	sparse	representations and local feature descriptors: A comparative study
Content-Adaptively	sparse	Reconstruction Method for Abnormal Events Detection With Low-Rank Property, A
Content-based image retrieval system via	sparse	representation
Content-independent font recognition on a single Chinese character using	sparse	representation
Content-Insensitive Blind Image Blurriness Assessment Using Weibull Statistics and	sparse	Extreme Learning Machine
Context-aware horror video scene recognition via cost-sensitive	sparse	coding
Context-aware real-time tracking in	sparse	representation framework
Context-Aware Single Image Super-Resolution Using Locality-Constrained Group	sparse	Representation
Context-aware single image super-resolution using	sparse	representation and cross-scale similarity
Context-Aware	sparse	Decomposition for Image Denoising and Super-Resolution
Contextual Bandits With Hidden Features to Online Recommendation via	sparse	Interactions
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on	sparse	Data
Continual Semantic Segmentation via Repulsion-Attraction of	sparse	and Disentangled Latent Representations
Continuous adaptation of multi-camera person identification models through	sparse	non-redundant representative selection
Continuous AU intensity estimation using localized,	sparse	facial feature space
Continuous Gesture Recognition using a	sparse	Bayesian Classifier
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared	sparse	Regression
Contour Detection at Range Images Using	sparse	Normal Detector
Contour detection refined by a	sparse	reconstruction-based discrimination method
Contrastive Domain Adaptation-Based	sparse	SAR Target Classification under Few-Shot Cases
Contrastive Dual Gating: Learning	sparse	Features With Contrastive Learning
Contrastive Explanations to Classification Systems Using	sparse	Dictionaries
Controllable Mesh Generation Through	sparse	Latent Point Diffusion Models
Controllable Video Generation with	sparse	Trajectories
Convergence analysis of the mixed-norm LMS and two versions for	sparse	system identification
Convergence analysis of the zero-attracting variable step-size LMS algorithm for	sparse	system identification
Convergent Incoherent Dictionary Learning Algorithm for	sparse	Coding, A
Convex	sparse	Spectral Clustering: Single-View to Multi-View
Convexifying	sparse	Interpolation With Infinitely Wide Neural Networks: An Atomic Norm Approach
Convolution Structure	sparse	Coding for Fusion of Panchromatic and Multispectral Images
Convolutional Laplacian	sparse	coding
Convolutional Neural Network-Assisted Adaptive Sampling for	sparse	Feature Detection in Image and Video Data
Convolutional	sparse	and Low-Rank Coding-Based Image Decomposition
Convolutional	sparse	and Low-Rank Coding-Based Rain Streak Removal
Convolutional	sparse	coding classification model for image classification
Convolutional	sparse	Coding for Compressed Sensing CT Reconstruction
Convolutional	sparse	coding for demosaicking with panchromatic pixels
Convolutional	sparse	Coding for Image Super-Resolution
Convolutional	sparse	Coding for RGB-NIR Imaging
Convolutional	sparse	Coding for Trajectory Reconstruction
Convolutional	sparse	coding framework for compressive spectral imaging
Convolutional	sparse	Coding with Weighted L1 Norm for Phase Retrieval: Algorithm and Its Deep Unfolded Network
Convolutional	sparse	Coding-based Image Decomposition
Convolutional	sparse	representation of color images
Convolutional	sparse	representations as an image model for impulse noise restoration
Cooperative	sparse	Representation in Two Opposite Directions for Semi-Supervised Image Annotation
Coral-Segmentation: Training Dense Labeling Models with	sparse	Ground Truth
CoRNet: Composite-Regularized Neural Network For Convolutional	sparse	Coding
Correcting camera shake by incremental	sparse	approximation
Correcting for Duplicate Scene Structure in	sparse	3D Reconstruction
Correlation filter tracker based on	sparse	regularization
Correlation-Weighted	sparse	Representation for Robust Liver DCE-MRI Decomposition Registration
Correspondence-Free Material Reconstruction using	sparse	Surface Constraints
Corresponding keypoint constrained	sparse	representation three-dimensional ear recognition via one sample per person
Corrupted and occluded face recognition via cooperative	sparse	representation
Cost-Effective Method for Reconstructing City-Building 3D Models from	sparse	Lidar Point Clouds, A
Coupled	sparse	Denoising and Unmixing With Low-Rank Constraint for Hyperspectral Image
Coupled Splines for	sparse	Curve Fitting
Coupling Model for Soil Moisture Retrieval in	sparse	Vegetation Covered Areas Based on Microwave and Optical Remote Sensing Data, A
CR-LDSO: Direct	sparse	LiDAR-Assisted Visual Odometry With Cloud Reusing
Cramer-Rao Bound for	sparse	Signals Fitting the Low-Rank Model with Small Number of Parameters
Craniomaxillofacial Deformity Correction via	sparse	Representation in Coherent Space
Critical parameters of the	sparse	representation-based classifier
CROification: Accurate Kernel Classification with the Efficiency of	sparse	Linear SVM
Crop Classification Using MSCDN Classifier and	sparse	Auto-Encoders with Non-Negativity Constraints for Multi-Temporal, Quad-Pol SAR Data
Cross-Domain Few-Shot Classification via Dense-	sparse	-Dense Regularization
Cross-Generation Kinship Verification with	sparse	Discriminative Metric
Cross-view transformation based	sparse	reconstruction for person re-identification
CS-RPCA: Clustered	sparse	RPCA for Moving Object Detection
Curvature oriented clustering of	sparse	motion vector fields
Cycle-Based Queue Length Estimation for Signalized Intersections Using	sparse	Vehicle Trajectory Data
Cyclical Pruning for	sparse	Neural Networks
Cyclopean Image Based Stereoscopic Image Quality Assessment by Using	sparse	Representation
DALM-SVD: Accelerated	sparse	coding through singular value decomposition of the dictionary
Data Fusion Using a Multi-Sensor	sparse	-Based Clustering Algorithm
Data-Driven 3D Reconstruction of Dressed Humans From	sparse	Views
Data-driven depth map refinement via multi-scale	sparse	representation
Data-Driven	sparse	GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion, A
Data-Driven	sparse	GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion, A
Data-Driven	sparse	Structure Selection for Deep Neural Networks
Data-Free/Data-	sparse	Softmax Parameter Estimation With Structured Class Geometries
DCA-based	sparse	coding for video summarization with MCP, A
DCE-MRI Analysis Using	sparse	Adaptive Representations
Deblurring and	sparse	Unmixing for Hyperspectral Images
Deblurring of Document Images Based on	sparse	Representations Enhanced by Non-local Means
Decision-Theoretic Formulation for	sparse	Stereo Correspondence Problems, A
Decoding Finger Flexion from Electrocorticographic Signals Using a	sparse	Gaussian Process
Decomposing and regularizing	sparse	/non-sparse components for motion field estimation
Decomposing and regularizing	sparse	/non-sparse components for motion field estimation
Decomposition Algorithm for the	sparse	Generalized Eigenvalue Problem, A
Decoupling	sparse	Coding with Fusion of Fisher Vectors and Scalable SVMs for Large-Scale Visual Recognition
Decremental	sparse	Modeling Representative Selection for prototype selection
Deep 3D Capture: Geometry and Reflectance From	sparse	Multi-View Images
Deep Bayesian	sparse	Subspace Clustering
Deep Convolution Network for Direction of Arrival Estimation With	sparse	Prior
Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of	sparse	LiDAR Data: A Case Study for Forests
Deep Convolutional	sparse	Coding Networks for Interpretable Image Fusion
Deep Coupled-Representation Learning for	sparse	Linear Inverse Problems With Side Information
Deep Depth Completion From Extremely	sparse	Data: A Survey
Deep Ensemble	sparse	Regression Network for Alzheimer's Disease Diagnosis
Deep Fisher Score Representation via	sparse	Coding
Deep Generative Adversarial Networks for the	sparse	Signal Denoising
Deep Image Matting With	sparse	User Interactions
Deep Learning Framework using	sparse	Diffusion MRI for Diagnosis of Frontotemporal Dementia
Deep Learning on	sparse	Manifolds for Faster Object Segmentation
Deep Learning,	sparse	Coding, and SVM for Melanoma Recognition in Dermoscopy Images
Deep Multimodal	sparse	Representation-Based Classification
Deep Networks for Image Super-Resolution with	sparse	Prior
Deep Neural Network Based	sparse	Measurement Matrix for Image Compressed Sensing
Deep side group	sparse	coding network for image denoising
Deep	sparse	Coding for Invariant Multimodal Halle Berry Neurons
Deep	sparse	feature selection for computer aided endoscopy diagnosis
Deep	sparse	Representation Based Image Restoration With Denoising Prior
Deep	sparse	Representation Classifier for facial recognition and detection system
Deep	sparse	representation for robust image registration
Deep	sparse	Representation-Based Classification
Deep	sparse	-coded Network (DSN)
Deep Unfolding	sparse	Bayesian Learning Network for Off-Grid DOA Estimation with Nested Array
Deep Unrolled Recovery in	sparse	Biological Imaging: Achieving fast, accurate results
Deep Unsupervised 3D Human Body Reconstruction from a	sparse	set of Landmarks
Deep Video Prediction Through	sparse	Motion Regularization
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct	sparse	Odometry
Deep Volumetric Video from Very	sparse	Multi-View Performance Capture
Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using	sparse	Data
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From	sparse	LiDAR Data and Single Color Image
Deeply learned face representations are	sparse	, selective, and robust
DeepMultiCap: Performance Capture of Multiple Characters Using	sparse	Multiview Cameras
DeepRED Based	sparse	SAR Imaging
Defining and Quantifying the Emergence of	sparse	Concepts in DNNs
Deformable MR Prostate Segmentation via Deep Feature Learning and	sparse	Patch Matching
Degraf-Flow: Extending Degraf Features for Accurate and Efficient	sparse	-To-Dense Optical Flow Estimation
DeltaCNN: End-to-End CNN Inference of	sparse	Frame Differences in Videos
Deltas: Depth Estimation by Learning Triangulation and Densification of	sparse	Points
Demo: Robust face recognition via	sparse	representation
DeNet: Scalable Real-Time Object Detection with Directed	sparse	Sampling
Denoising by low-rank and	sparse	representations
Denoising for Multiple Image Copies through Joint	sparse	Representation
Dense and	sparse	Labeling With Multidimensional Features for Saliency Detection
Dense and	sparse	Optic Flows Aggregation for Accurate Motion Segmentation in Monocular Video Sequences
Dense and	sparse	Reconstruction Error Based Saliency Descriptor
Dense Deformation Reconstruction via	sparse	Coding
Dense depth map generation using	sparse	depth data from normal flow
Dense Depth Map Reconstruction from	sparse	Measurements Using a Multilayer Conditional Random Field Model
Dense Depth Posterior (DDP) From Single Image and	sparse	Range
Dense Depth Priors for Neural Radiance Fields from	sparse	Input Views
Dense Disparity Maps from RGB and	sparse	Depth Information Using Deep Regression Models
Dense disparity maps from	sparse	disparity measurements
Dense Light Field Reconstruction from	sparse	Sampling Using Residual Network
Dense Mirroring Surface Recovery from 1D Homographies and	sparse	Correspondences
Dense range images from	sparse	point clouds using multi-scale processing
Dense scene 3D reconstruction using color based sampling with fusion of image and	sparse	laser
Dense versus	sparse	Approaches for Estimating the Fundamental Matrix
Dense-	sparse	representation matters: A point-based method for volumetric medical image segmentation
Densification of	sparse	Optical Flow Using Edges Information
Depth Completion From	sparse	LiDAR Data With Depth-Normal Constraints
Depth Estimation from Monocular Images and	sparse	Radar Using Deep Ordinal Regression Network
Depth Estimation via	sparse	Radar Prior and Driving Scene Semantics
Depth Estimation with Occlusion Handling from a	sparse	Set of Light Field Views
Depth image super-resolution based on joint	sparse	coding
Depth image super-resolution using multi-dictionary	sparse	representation
Depth Map Completion by Jointly Exploiting Blurry Color Images and	sparse	Depth Maps
Depth map up-sampling with texture edge feature via	sparse	representation
Depth Reconstruction From	sparse	Samples: Representation, Algorithm, and Sampling
Depth-Guided	sparse	Structure-from-Motion for Movies and TV Shows
Deriving	sparse	Coefficients of Wavelet Pyramid Taking Clues from Hough Transform
Describe Fashion Products via Local	sparse	Self-Attention Mechanism and Attribute-Based Re-Sampling Strategy
Description and Recognition of Activity Patterns Using	sparse	Vector Fields
Design and Implementation of a Generic	sparse	Bundle Adjustment Software Package Based on the Levenberg-Marquardt Algorithm, The
Design redundant Chebyshev dictionary with generalized extreme value distribution for	sparse	approximation and image denoising
Design	sparse	features for age estimation using hierarchical face model
Designing a symmetric classifier for image annotation using multi-layer	sparse	coding
Detail preserving image denoising with patch-based structure similarity via	sparse	representation and SVD
Detecting Arbitrary Keypoints on Limbs and Skis with	sparse	Partly Correct Segmentation Masks
Detecting Communities on Topic of Transportation With	sparse	Crowd Annotations
Detecting different sub-types of acute myelogenous leukemia using dictionary learning and	sparse	representation
Detecting Ground Deformation in the Built Environment Using	sparse	Satellite InSAR Data With a Convolutional Neural Network
Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent	sparse	Center-Based Clustering Approach
Detecting the Presence of Stationary Objects from	sparse	Stereo Disparity Space
Detecting Weak Underwater Targets Using Block Updating of	sparse	and Structured Channel Impulse Responses
Detection and removal of random-valued impulse noise from images using	sparse	representations
Detection and spatial analysis of hepatic steatosis in histopathology images using	sparse	linear models
Detection of Clustered Objects in	sparse	Point Clouds Through 2D Classification and Quadric Filtering
Detection of Small Target Using Schatten 1/2 Quasi-Norm Regularization with Reweighted	sparse	Enhancement in Complex Infrared Scenes
Detection of	sparse	Signals in Sensor Networks via Locally Most Powerful Tests
Detection of spectrally	sparse	anomalies in hyperspectral imagery
Detection of the Large Surface Explosion Coupling Experiment by a	sparse	Network of Balloon-Borne Infrasound Sensors
Detection of the Movements of Persons from a	sparse	Sequence of TV Images
Detection Recovery in Online Multi-Object Tracking with	sparse	Graph Tracker
Detective: An Attentive Recurrent Model for	sparse	Object Detection
Determining Reflectance Parameters and Illumination Distribution from a	sparse	Set of Images for View-dependent Image Synthesis
Diabetic Retinopathy Grading based on a	sparse	Network Fusion of Heterogeneous ConvNeXt Models with Category Attention
Dictionaries for	sparse	Representation Modeling
Dictionary Learning and	sparse	Coding on Grassmann Manifolds: An Extrinsic Solution
Dictionary learning for a	sparse	appearance model in visual tracking
Dictionary Learning for Image Coding Based on Multisample	sparse	Representation
Dictionary Learning for	sparse	Coding: Algorithms and Convergence Analysis
Dictionary Learning for	sparse	Representation: A Novel Approach
Dictionary Training for	sparse	Representation as Generalization of K-Means Clustering
Dictionary-Based Map Compression for	sparse	Feature Maps
DiffuStereo: High Quality Human Reconstruction via Diffusion-Based Stereo Using	sparse	Cameras
Digital in-line particle holography: Twin-image suppression using	sparse	blind source separation
Digital phase correction of a partially coherent	sparse	aperture system
Digital phase-shifting holography based on	sparse	approximation of phase and amplitude
DIMAL: Deep Isometric Manifold Learning Using	sparse	Geodesic Sampling
Dimensionality Reduction by Integrating	sparse	Representation and Fisher Criterion and its Applications
Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized	sparse	Hypergraph Embedding
Dimensionality Reduction of Hyperspectral Images Based on	sparse	Discriminant Manifold Embedding
Dimensionality Reduction of Hyperspectral Images With	sparse	Discriminant Embedding
Dimensionality reduction of visual features using	sparse	projectors for content-based image retrieval
Direct Method for Building	sparse	Kernel Learning Algorithms, A
Direct	sparse	Deblurring
Direct	sparse	Odometry
Direct	sparse	Odometry with Rolling Shutter
Direct	sparse	Visual Odometry with Structural Regularities for Long Corridor Environments
Directed	sparse	Graphical Model for Multi-target Tracking, A
direction finding method for spatial optical beam-forming network based on	sparse	Bayesian learning, A
Direction of Arrival Estimation for Complex Sources Through L_1 Norm	sparse	Bayesian Learning
Directional Eigentemplate Learning for	sparse	Template Tracker
Directional L_0	sparse	Modeling for Image Stripe Noise Removal
Directional View Interpolation for Compensation of	sparse	Angular Sampling in Cone-Beam CT
DISCO: Distributed Inference with	sparse	Communications
DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of	sparse	Objects in High-Resolution UAV Imagery
Discovering visual concept structure with	sparse	and incomplete tags
Discrete Green's Functions for Harmonic and Biharmonic Inpainting with	sparse	Atoms
Discrete Probability Distribution Prediction of Image Emotions with Shared	sparse	Learning
Discriminant Analysis of Hyperspectral Imagery Using Fast Kernel	sparse	and Low-Rank Graph
Discriminant analysis via jointly -norm	sparse	tensor preserving embedding for image classification
Discriminant Manifold Learning via	sparse	Coding for Image Analysis
Discriminant	sparse	neighborhood preserving embedding for face recognition
Discriminative affine	sparse	codes for image classification
discriminative and	sparse	topic model for image classification and annotation, A
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon	sparse	Gaussian Bayesian Network
Discriminative Model for Object Representation and Detection via	sparse	Features, A
Discriminative multi-modality non-negative	sparse	graph model for action recognition
Discriminative multi-scale	sparse	coding for single-sample face recognition with occlusion
Discriminative Multi-Task	sparse	Learning for Robust Visual Tracking Using Conditional Random Field
Discriminative Noise Robust	sparse	Orthogonal Label Regression-Based Domain Adaptation
Discriminative Object Tracking via	sparse	Representation and Online Dictionary Learning
Discriminative Reverse	sparse	Tracking via Weighted Multitask Learning
Discriminative	sparse	flexible manifold embedding with novel graph for robust visual representation and label propagation
Discriminative	sparse	Image Models for Class-Specific Edge Detection and Image Interpretation
Discriminative	sparse	Inverse Covariance Matrix: Application in Brain Functional Network Classification
Discriminative	sparse	Representation for Hyperspectral Image Classification: A Semi-Supervised Perspective
Discriminative	sparse	representations in hyperspectral imagery
Discriminative subspace learning with	sparse	representation view-based model for robust visual tracking
Discriminative Tensor	sparse	Coding for Image Classification
Discriminative Transfer Subspace Learning via Low-Rank and	sparse	Representation
Discriminative Weighted	sparse	Partial Least Squares for Human Detection
Discriminatory	sparse	Coding And Its Application To Face Recognition
Disentangling Soil, Shade, and Tree Canopy Contributions to Mixed Satellite Vegetation Indices in a	sparse	Dry Forest
Disparity map optimization using	sparse	gradient measurement under intensity-edge constraints
Dissimilarity-Based	sparse	Subset Selection
Distant face recognition based on	sparse	-stereo reconstruction
Distributed bundle adjustment with block-based	sparse	matrix compression for super large scale datasets
Distributed Detection of	sparse	Signals With Censoring Sensors Via Locally Most Powerful Test
Distributed Detection of	sparse	Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios
Distributed Dictionary Learning for	sparse	Representation in Sensor Networks
Distributed Sensor Perception via	sparse	Representation
Distributed Signal Decorrelation and Detection in Multi View Camera Networks Using the Vector	sparse	Matrix Transform
Distributed Spectrum Estimation for Small Cell Networks Based on	sparse	Diffusion Adaptation
Distributed video surveillance using hardware-friendly	sparse	large margin classifiers
Distribution-Aware Block-	sparse	Recovery via Convex Optimization
Dithered backprop: A	sparse	and quantized backpropagation algorithm for more efficient deep neural network training
Divisively Normalized	sparse	Coding: Toward Perceptual Visual Signal Representation
DOA and Range Estimation for FDA-MIMO Radar with	sparse	Bayesian Learning
DOA Estimation Based on	sparse	Signal Recovery Utilizing Weighted L_1-Norm Penalty
DOA Estimation From One-Bit Compressed Array Data via Joint	sparse	Representation
DOA Estimation under GNSS Spoofing Attacks Using a Coprime Array: From a	sparse	Reconstruction Viewpoint
DoA Estimation Using Low-Resolution Multi-Bit	sparse	Array Measurements
DOA Refinement Through Complex Parabolic Interpolation of a	sparse	Recovered Signal
Document Specific	sparse	Coding for Word Retrieval
Domain adaptive	sparse	representation-based classification
Domain Siamese CNNs for	sparse	Multispectral Disparity Estimation
Domain-Transformable	sparse	Representation for Anomaly Detection in Moving-Camera Videos
Don't Be So Dense:	sparse	-to-Sparse GAN Training Without Sacrificing Performance
Don't Be So Dense:	sparse	-to-Sparse GAN Training Without Sacrificing Performance
Double Detector for	sparse	Signal Detection From One-Bit Compressed Sensing Measurements
Double Reweighted	sparse	Regression and Graph Regularization for Hyperspectral Unmixing
Double Shrinking	sparse	Dimension Reduction
Double-Laplacian Mixture-Error Model-Based Supervised Group-	sparse	Coding for Robust Palmprint Recognition
Doubling down:	sparse	grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining
Doubly	sparse	Relevance Vector Machine for Continuous Facial Behavior Estimation
DRFM Repeater Jamming Suppression Method Based on Joint Range-Angle	sparse	Recovery and Beamforming for Distributed Array Radar
Driver Monitoring Using	sparse	Representation With Part-Based Temporal Face Descriptors
DRONE: Dual-Domain Residual-based Optimization NEtwork for	sparse	-View CT Reconstruction
DSVT: Dynamic	sparse	Voxel Transformer with Rotated Sets
DU-CG-STAP Method Based on	sparse	Recovery and Unsupervised Learning for Airborne Radar Clutter Suppression
Dual graph regularized	sparse	coding for image representation
Dual	sparse	Constrained Cascade Regression for Robust Face Alignment
Dual	sparse	Representation Graph-Based Copropagation for Semisupervised Hyperspectral Image Classification
Dual-Geometric Neighbor Embedding for Image Super Resolution With	sparse	Tensor
Dual-scale weighted structural local	sparse	appearance model for object tracking
Dynamic background subtraction via	sparse	representation of dynamic textures in a low-dimensional subspace
Dynamic Block	sparse	Reparameterization of Convolutional Neural Networks
Dynamic Facial Expression Recognition With Atlas Construction and	sparse	Representation
Dynamic MR Image Reconstruction: Separation From Undersampled (k,t)-Space via Low-Rank Plus	sparse	Prior
Dynamic MRI reconstruction using low rank plus	sparse	tensor decomposition
Dynamic Positron Emission Tomography Data-Driven Analysis Using	sparse	Bayesian Learning
Dynamic quantization for belief propagation in	sparse	spaces
Dynamic scene understanding by improved	sparse	topical coding
Dynamic	sparse	R-CNN
Dynamic Texture Comparison Using Derivative	sparse	Representation: Application to Video-Based Face Recognition
Dynamic tree-structured	sparse	RPCA via column subset selection for background modeling and foreground detection
Dynamic Vehicle Detection With	sparse	Point Clouds Based on PE-CPD
DynaST: Dynamic	sparse	Transformer for Exemplar-Guided Image Generation
Early diagnosis of Alzheimer's disease: A multi-class deep learning framework with modified k-	sparse	autoencoder classification
Edge Detection Using	sparse	Coding Method
Edge noise removal in bilevel graphical document images using	sparse	representation
Edge preserving single image super resolution in	sparse	environment
Effective two-step method for face hallucination based on	sparse	compensation on over-complete patches
Efficient ADMM-Based Algorithms for Convolutional	sparse	Coding
Efficient algorithm for	sparse	symmetric nonnegative matrix factorization
Efficient Algorithms for Convolutional	sparse	Representations
Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed	sparse	Analysis Priors
Efficient and Robust Semi-supervised Learning Over a	sparse	-Regularized Graph
efficient and	sparse	approach for large scale human action recognition in videos, An
Efficient and Stable	sparse	-to-Dense Conversion for Automatic 2-D to 3-D Conversion
Efficient Background Modeling Based on	sparse	Representation and Outlier Iterative Removal
Efficient background subtraction with low-rank and	sparse	matrix decomposition
Efficient coding of	sparse	trees using an enhanced-embedded zerotree wavelet algorithm
Efficient Coupled Dictionary Learning And	sparse	Coding For Noisy Piecewise-Smooth Signals: Application To Hyperspectral Imaging
Efficient Dense Scene Flow from	sparse	or Dense Stereo Data
Efficient Head Tracking Using an Integral Histogram Constructing Based on	sparse	Matrix Technology
Efficient high-speed framework for	sparse	representation-based iris recognition
Efficient Highly Over-Complete	sparse	Coding Using a Mixture Model
Efficient image classification via	sparse	coding spatial pyramid matching representation of SIFT-WCS-LTP feature
Efficient image/video deblocking via	sparse	representation
Efficient instance search from large video database via	sparse	filters in subspaces
Efficient learning of	sparse	, distributed, convolutional feature representations for object recognition
Efficient Line Search for	sparse	Reconstruction, An
Efficient Local Feature Encoding for Human Action Recognition with Approximate	sparse	Coding
Efficient Metric Learning Based Dimension Reduction Using	sparse	Projectors for Image Near Duplicate Retrieval
Efficient Misalignment Method for Visual Tracking Based on	sparse	Representation, An
Efficient modeling of visual saliency based on local	sparse	representation and the use of hamming distance
Efficient Nearest Neighbors via Robust	sparse	Hashing
Efficient Neighbourhood Consensus Networks via Submanifold	sparse	Convolutions
Efficient Newton-Based Method for	sparse	Generalized Canonical Correlation Analysis, An
Efficient Optimization for	sparse	Gaussian Process Regression
Efficient Orthogonal Matching Pursuit using	sparse	random projections for scene and video classification
Efficient Particle Filtering via	sparse	Kernel Density Estimation
Efficient Point Cloud Segmentation with Geometry-Aware	sparse	Networks
Efficient Poisson-Based Surface Reconstruction of 3D Model from a Non-homogenous	sparse	Point Cloud
Efficient Relaxations for Dense CRFs with	sparse	Higher-Order Potentials
Efficient Retrieval from Large-Scale Egocentric Visual Data Using a	sparse	Graph Representation
Efficient Segmentation by	sparse	Pixel Classification
Efficient	sparse	3D Reconstruction by Space Sweeping
Efficient	sparse	Approximation of Support Vector Machines Solving a Kernel Lasso
Efficient	sparse	Banded Acoustic Models for Speech Recognition
Efficient	sparse	Bayesian Learning STAP Algorithm with Adaptive Laplace Prior, An
Efficient	sparse	Data Filtering Method for Image Histogram Comparison, An
Efficient	sparse	Kernel Feature Extraction Based on Partial Least Squares
Efficient	sparse	-to-dense optical flow estimation using a learned basis and layers
Efficient Spatially	sparse	Inference for Conditional GANs and Diffusion Models
Efficient Spatially	sparse	Inference for Conditional GANs and Diffusion Models
Efficient Superpixel-Level Multitask Joint	sparse	Representation for Hyperspectral Image Classification
Efficient Tracking of	sparse	Signals via an Earth Mover's Distance Dynamics Regularizer
Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of	sparse	coding
Efficient,	sparse	Representation of Manifold Distance Matrices for Classical Scaling
Efficiently Learning a Detection Cascade With	sparse	Eigenvectors
Efficiently Learning Random Fields for Stereo Vision with	sparse	Message Passing
Efficiently training a better visual detector with	sparse	eigenvectors
EK-SVD: Optimized dictionary design for	sparse	representations
Elastic Shape-from-Template with Spatially	sparse	Deforming Forces
Electromagnetic Imaging of Hidden 2-D PEC Targets Using	sparse	-Signal Modeling
Electron Microscopy Reconstruction of Brain Structure Using	sparse	Representations Over Learned Dictionaries
Embedded	sparse	coding for summarizing multi-view videos
Embedding new observations via	sparse	-coding for non-linear manifold learning
Embracing Single Stride 3D Object Detector with	sparse	Transformer
EMOD: Efficient Moving Object Detection via Image Eccentricity Analysis and	sparse	Neural Networks
Emotion Recognition and EEG Analysis Using ADMM-Based	sparse	Group Lasso
Emotion recognition based on	sparse	learning feature selection method for social communication
Employing structural and statistical information to learn dictionary(s) for single image super-resolution in	sparse	domain
Encoding	sparse	and competitive structures among tasks in multi-task learning
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative	sparse	Coding
End-to-End SAR Deep Learning Imaging Method Based on	sparse	Optimization
End-to-End Weakly Supervised Object Detection with	sparse	Proposal Evolution
EndNet:	sparse	AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing
Endogenous convolutional	sparse	representations for transolation invariant image subspace models
Endoscopic bladder image registration using	sparse	graph cuts
Energy-based adaptive matching pursuit algorithm for binary	sparse	signal reconstruction in compressed sensing
Energy-Based Segmentation of Very	sparse	Range Surfaces
Enhanced dictionary pair learning	sparse	representation model for facial expression classification
Enhanced Group	sparse	Regularized Nonconvex Regression for Face Recognition
Enhanced Laplacian Group	sparse	Learning with Lifespan Outlier Rejection for Visual Tracking
Enhanced Micro-Doppler Feature Extraction Using Adaptive Short-Time Kernel-Based	sparse	Time-Frequency Distribution
Enhanced	sparse	Model for Blind Deblurring
Enhancement of Vital Signals for UWB Through-Wall Radar Using Low-Rank and Block-	sparse	Matrix Decomposition
Enrollee-constrained	sparse	coding of test data for speaker verification
Ensemble Discriminant	sparse	Projections Applied to Music Genre Classification
Ensemble manifold regularized	sparse	low-rank approximation for multiview feature embedding
Ensemble of Proximal Networks for	sparse	Coding, An
Entropy of Primitive: From	sparse	Representation to Visual Information Evaluation
Envelope-Based	sparse	-Constrained Deconvolution for Velocity Model Building
Equivalence principle for optimization of	sparse	versus low-spread representations for signal estimation in noise
Error Equalisation for	sparse	Image Mosaic Construction
Error-Bound-Regularized	sparse	Coding for Spatiotemporal Reflectance Fusion, An
ESC-Net: Alleviating Triple Sparsity on 3D LiDAR Point Clouds for Extreme	sparse	Scene Completion
Establishing Point Correspondence of 3D Faces Via	sparse	Facial Deformable Model
Estimating Depth from RGB and	sparse	Sensing
Estimating Dynamic Functional Brain Connectivity With a	sparse	Hidden Markov Model
Estimating facial pose from a	sparse	representation
Estimating Motion from	sparse	Range Data Without Correspondence
Estimating	sparse	Signals with Smooth Support via Convex Programming and Block Sparsity
Estimating Travel Speed of a Road Section Through	sparse	Crowdsensing Data
Estimation error bounds for denoising by	sparse	approximation
Estimation of Dynamic	sparse	Connectivity Patterns From Resting State fMRI
Estimation of Evapotranspiration in	sparse	Vegetation Areas by Applying an Optimized Two-Source Model
Estimation of Signal-Dependent Noise Level Function in Transform Domain via a	sparse	Recovery Model
Estimation of signal-dependent sensor noise via	sparse	representation of noise level functions
Estimation of	sparse	O-D matrix accounting for demand volatility
Euclid in a Taxicab:	sparse	Blind Deconvolution with Smoothed L_1/L_2 Regularization
Evaluation and Application of Multi-Source Satellite Rainfall Product CHIRPS to Assess Spatio-Temporal Rainfall Variability on Data-	sparse	Western Margins of Ethiopian Highlands
Evaluation and FPGA Implementation of	sparse	Linear Solvers for Video Processing Applications
Evaluation of Iterative	sparse	Object Reconstruction From Few Projections for 3-D Rotational Coronary Angiography
Evaluation of K-SVD Method in Facial Expression Recognition Based on	sparse	Representation Problems
Evaluation of the	sparse	Dual-Source Model for Predicting Water Stress and Evapotranspiration from Thermal Infrared Data over Multiple Crops and Climates
Evaluation of the Sparsity Degree for	sparse	Recovery with Deterministic Measurement Matrices, An
Event Transformer. A	sparse	-aware solution for efficient event data processing
Event-aided Direct	sparse	Odometry
Event-based Asynchronous	sparse	Convolutional Networks
Event-Guided Person Re-Identification via	sparse	-Dense Complementary Learning
Evolutionary algorithms for	sparse	signal reconstruction
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus	sparse	Matrices
Exact Recovery of Multichannel	sparse	Blind Deconvolution via Gradient Descent
Exact Solution for	sparse	Sampling for Optimal Detection of Known Signals in Gaussian Noise, An
Exact Support Recovery of	sparse	Signals With Noise via Orthogonal Matching Pursuit, The
Example-Based Image Colorization Using Locality Consistent	sparse	Representation
Expectation-Maximization-Aided Hybrid Generalized Expectation Consistent for	sparse	Signal Reconstruction
Expected Patch Log Likelihood with a	sparse	Prior
Explainable	sparse	Attention for Memory-based Trajectory Predictors
Exploiting Earth Observations to Enable Groundwater Modeling in the Data-	sparse	Region of Goulbi Maradi, Niger
Exploiting Passthrough Information for Multi-view Object Reconstruction with	sparse	and Noisy Laser Data
Exploiting Random RGB and	sparse	Features for Camera Pose Estimation
Exploiting	sparse	Representations for Robust Analysis of Noisy Complex Video Scenes
Exploiting	sparse	representations in very high-dimensional feature spaces obtained from patch-based processing
Exploiting	sparse	Topics Mining for Temporal Event Summarization
Exploration into Single Image Super-Resolution via Self Similarity by	sparse	Representation
Exploratory	sparse	Models for Face Recognition
Exploring Functional Connectivity Biomarker in Autism Using Group-wise	sparse	Representation
Exploring	sparse	Spatial Relation in Graph Inference for Text-Based VQA
Expression-insensitive 3D face recognition using	sparse	representation
Expression-invariant and	sparse	representation for mesh-based compression for 3-D face models
Expression-Reinforced	sparse	Subspace Clustering By Orthogonal Matching Pursuit, An
Extended Abstract of PhD Thesis: Integrated Registration, Segmentation, and Interpolation for 3D/4D	sparse	Data
Extended common molecular and discriminative atom dictionary based	sparse	representation for face recognition
Extended OMP algorithm for	sparse	phase retrieval
Extended	sparse	Classification Framework for Domain Adaptation in Video Surveillance, An
Extended	sparse	representation-based classification method for face recognition
Extending the GOSAILT Model to Simulate	sparse	Woodland Bi-Directional Reflectance with Soil Reflectance Anisotropy Consideration
Extension of	sparse	Randomized Kaczmarz Algorithm for Multiple Measurement Vectors
Extract foreground objects based on	sparse	model of spatiotemporal spectrum
Extracting	sparse	error of robust PCA for face recognition in the presence of varying illumination and occlusion
Extraction of Continuous and Discrete Spatial Heterogeneities: Fusion Model of Spatially Varying Coefficient Model and	sparse	Modelling
Extreme	sparse	Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification
Eye localization through multiscale	sparse	dictionaries
Fabric defect detection based on improved low-rank and	sparse	matrix decomposition
Face Aging Effect Simulation Using Hidden Factor Analysis Joint	sparse	Representation
Face hallucination based on	sparse	local-pixel structure
Face Hallucination Using Linear Models of Coupled	sparse	Support
Face hallucination via K-selection mean constrained	sparse	representation
Face hallucination VIA	sparse	coding
Face Hallucination Via Weighted Adaptive	sparse	Regularization
Face hallucination with imprecise-alignment using iterative	sparse	representation
Face Image Super-Resolution Based on Topology ICA and	sparse	Representation
Face image super-resolution via	sparse	representation and wavelet transform
Face Liveness Detection from a Single Image with	sparse	Low Rank Bilinear Discriminative Model
Face recognition algorithm based on feature descriptor and weighted linear	sparse	representation
Face recognition at-a-distance based on	sparse	-stereo reconstruction
Face Recognition at-a-Distance Using Texture, Dense- and	sparse	-Stereo Reconstruction
Face recognition by	sparse	discriminant analysis via joint L2,1-norm minimization
Face Recognition from Color Images Using	sparse	Projection Analysis
Face recognition in low-quality images using adaptive	sparse	representations
Face Recognition in Movie Trailers via Mean Sequence	sparse	Representation-Based Classification
Face Recognition in Uncontrolled Conditions Using	sparse	Representation and Local Features
Face recognition using Hog feature and group	sparse	coding
Face recognition using localized features based on non-negative	sparse	coding
Face Recognition Using Simultaneous Discriminative Feature and Adaptive Weight Learning Based on Group	sparse	Representation
Face Recognition Using	sparse	Approximated Nearest Points between Image Sets
Face Recognition Using	sparse	Representations and Manifold Learning
Face recognition via local	sparse	coding
Face recognition via Weighted	sparse	Representation
Face recognition: handling data misalignments implicitly by fusion of	sparse	representations
Face Sketch Synthesis via	sparse	Representation
Face Sketch Synthesis via	sparse	Representation-Based Greedy Search
Face Sketch-Photo Synthesis and Retrieval Using	sparse	Representation
Face Sketch-Photo Synthesis under Multi-dictionary	sparse	Representation Framework
Face verification using	sparse	representations
Face Verification With Local	sparse	Representation
Facial action unit recognition with	sparse	representation
Facial alignment by using	sparse	initialization and random forest
Facial Expression Recognition Based on Dimension Model of Emotion with Autonomously Extracted	sparse	Representations
Facial Expression Recognition Based on Gabor Features and	sparse	Representation
Facial expression recognition based on graph-preserving	sparse	non-negative matrix factorization
Facial Expression Recognition by	sparse	Reconstruction with Robust Features
Facial Expression Recognition via	sparse	Representation
Facial expression recognition via	sparse	representation using positive and reverse templates
Factorization Approach for	sparse	Spatio-Temporal Brain-Computer Interface
Factorization Method for Multifrequency Inverse Source Problems with	sparse	Far Field Measurements, A
Fair Scratch Tickets: Finding Fair	sparse	Networks without Weight Training
Family of Fast Walsh Hadamard Algorithms With Identical	sparse	Matrix Factorization, A
Fast 3-D Imaging Algorithm Based on Unitary Transformation and Real-Valued	sparse	Representation for MIMO Array SAR
Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via	sparse	Representation
Fast alignment for	sparse	representation based face recognition
Fast and Accurate Depth Estimation From	sparse	Light Fields
Fast and Accurate: Video Enhancement Using	sparse	Depth
Fast and Efficient Saliency Detection Using	sparse	Sampling and Kernel Density Estimation
Fast and flexible convolutional	sparse	coding
Fast and robust map-matching algorithm based on a global measure and dynamic programming for	sparse	probe data
Fast and Robust	sparse	Approach for Hyperspectral Data Classification Using a Few Labeled Samples, A
Fast and Stable Bayesian Image Expansion Using	sparse	Edge Priors
Fast Approximation of Non-Negative	sparse	Recovery via Deep Learning
Fast Approximations to Structured	sparse	Coding and Applications to Object Classification
Fast blind deconvolution using a deeper	sparse	patch-wise maximum gradient prior
Fast compressed sensing recovery using generative models and	sparse	deviations modeling
Fast Convolutional	sparse	Coding
Fast Extension for	sparse	Representation on Robust Face Recognition, A
fast global matching pursuit algorithm for	sparse	reconstruction by L0 minimization, A
Fast Gradient Computation for Learning with Tensor Product Kernels and	sparse	Training Labels
Fast Gradient Method for Nonnegative	sparse	Regression With Self-Dictionary, A
Fast high-quality non-blind deconvolution using	sparse	adaptive priors
Fast human action classification and VOI localization with enhanced	sparse	coding
Fast Hyperspectral Unmixing via Reweighted	sparse	Regression
Fast Inverse-Free	sparse	Bayesian Learning via Relaxed Evidence Lower Bound Maximization
Fast Iterative Method for Removing Impulsive Noise From	sparse	Signals, A
Fast Kernel	sparse	Representation
Fast Lexicon-Based Scene Text Recognition with	sparse	Belief Propagation
Fast M-Term Pursuit for	sparse	Image Representation
Fast Majorize-Minimize Algorithm for the Recovery of	sparse	and Low-Rank Matrices, A
Fast matching pursuit for	sparse	representation-based face recognition
Fast Monocular Scene Reconstruction with Global-	sparse	Local-Dense Grids
Fast multi-spectral image super-resolution via	sparse	representation
fast object tracking approach based on	sparse	representation, A
Fast Obstacle Detection Using	sparse	Edge-Based Disparity Maps
Fast Parallel Algorithm for Convolutional	sparse	Coding, A
Fast Physically Correct Refocusing for	sparse	Light Fields Using Block-Based Multi-Rate View Interpolation
Fast Pixel/Part Selection with	sparse	Eigenvectors
Fast protein homology and fold detection with	sparse	spatial sample kernels
fast robot homing approach using	sparse	image waypoints, A
Fast Segmentation of	sparse	3D Point Trajectories Using Group Theoretical Invariants
Fast Signal Separation of 2-D	sparse	Mixture via Approximate Message-Passing
Fast Single Image Super-Resolution via Self-Example Learning and	sparse	Representation
Fast	sparse	Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse Bayesian Learning
Fast	sparse	Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse Bayesian Learning
Fast	sparse	coding networks for anomaly detection in videos
Fast	sparse	ConvNets
Fast	sparse	Dynamic Time Warping
Fast	sparse	edge-based intrinsic image decomposition guided by chromaticity gradients
Fast	sparse	Gaussian Processes Learning for Man-Made Structure Classification
Fast	sparse	Image Reconstruction Using Adaptive Nonlinear Filtering
Fast	sparse	Multinomial Regression Applied to Hyperspectral Data
Fast	sparse	Period Estimation
fast	sparse	reconstruction approach for high resolution image-based object surface anomaly detection, A
Fast	sparse	representation with prototypes
Fast	sparse	-TSVD Super-Resolution Method of Real Aperture Radar Forward-Looking Imaging
Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended	sparse	Representation
Fast Variational Bayesian Inference for Temporally Correlated	sparse	Signal Recovery
Fast Visual Odometry Based	sparse	Geometric Constraint for RGB-D Camera
Fast, Approximate Piecewise-Planar Modeling Based on	sparse	Structure-from-Motion and Superpixels
Fast-MVSNet:	sparse	-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
Fault Prediction of Railway Turnout Systems Based on Improved	sparse	Auto Encoder and Gated Recurrent Unit Network
FDM: fast dense matching based on	sparse	matching
FDR-Corrected	sparse	Canonical Correlation Analysis With Applications to Imaging Genomics
FeatLoc: Absolute pose regressor for indoor 2D	sparse	features with simplistic view synthesizing
Feature Denoising Using Joint	sparse	Representation for In-Car Speech Recognition
Feature Detection With a Constant FAR in	sparse	3-D Point Cloud Data
Feature Dimension Reduction Using Stacked	sparse	Auto-Encoders for Crop Classification with Multi-Temporal, Quad-Pol SAR Data
Feature extraction based on	sparse	representation with application to epileptic EEG classification
Feature extraction for different distances of visible reflection iris using multiscale	sparse	representation of local Radon transform
Feature Interaction Augmented	sparse	Learning for Fast Kinect Motion Detection
Feature matching in underwater environments using	sparse	linear combinations
Feature Matching With Intra-Group	sparse	Model
Feature selection from high-order tensorial data via	sparse	decomposition
Feature selection via simultaneous	sparse	approximation for person specific face verification
Feature weight estimation based on dynamic representation and neighbor	sparse	reconstruction
Feature-Assisted	sparse	to Dense Motion Estimation Using Geodesic Distances
Feature-Based	sparse	Representation for Image Similarity Assessment
FedLTN: Federated Learning for	sparse	and Personalized Lottery Ticket Networks
Feedback Acquisition and Reconstruction of Spectrum-	sparse	Signals by Predictive Level Comparisons
Few-Shot Image Classification Along	sparse	Graphs
Figure/ground video segmentation via low-rank	sparse	learning
Filter Pruning using Hierarchical Group	sparse	Regularization for Deep Convolutional Neural Networks
Find dominant bins of a histogram by	sparse	representation
Finding Correspondence from Multiple Images via	sparse	and Low-Rank Decomposition
Fine-Grained Urban Air Quality Mapping from	sparse	Mobile Air Pollution Measurements and Dense Traffic Density
Finger vein recognition using mutual	sparse	representation classification
Fingerprint Compression Based on	sparse	Representation
Fingerprint image super resolution using	sparse	representation with ridge pattern prior by classification coupled dictionaries
Fingerprint Pore Matching Based on	sparse	Representation
Fisher Discrimination Dictionary Learning for	sparse	representation
Fisher discrimination-based L_2,1-norm	sparse	representation for face recognition
FLAG: Flow-based 3D Avatar Generation from	sparse	Observations
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from	sparse	Views
Floor Plan Reconstruction from	sparse	Views: Combining Graph Neural Network with Constrained Diffusion
Fluorescence Microscopy Images Denoising Via Deep Convolutional	sparse	Coding
Focal Combo Loss for Improved Road Marking Extraction of	sparse	Mobile LiDAR Scanning Point Cloud-Derived Images Using Convolutional Neural Networks
Focal	sparse	Convolutional Networks for 3D Object Detection
Foreground detection based on low-rank and block-	sparse	matrix decomposition
Foreground Extraction of Underwater Videos via	sparse	and Low-Rank Matrix Decomposition
Foreground Segmentation via Dynamic Tree-Structured	sparse	RPCA
Foreground Segmentation with Tree-Structured	sparse	RPCA
Foreign Object Detection in Multispectral X-ray Images of Food Items Using	sparse	Discriminant Analysis
Forward Basis Selection for Pursuing	sparse	Representations over a Dictionary
Forward-Looking Super-Resolution Imaging of MIMO Radar via	sparse	and Double Low-Rank Constraints
FPRSGF denoised non-subsampled shearlet transform-based image fusion using	sparse	representation
FPS: Fast Path Planner Algorithm Based on	sparse	Visibility Graph and Bidirectional Breadth-First Search
Fractional-order total variation combined with sparsifying transforms for compressive sensing	sparse	image reconstruction
Fragment-based real-time object tracking: A	sparse	representation approach
Framelet-Based	sparse	Unmixing of Hyperspectral Images
framework for dense optical flow from multiple	sparse	hypotheses, A
Framework for Learning Depth From a Flexible Subset of Dense and	sparse	Light Field Views, A
Framework for Long Distance Face Recognition Using Dense and	sparse	Stereo Reconstruction, A
Framework of Dam-Break Hazard Risk Mapping for a Data-	sparse	Region in Indonesia, A
Framework of Joint Graph Embedding and	sparse	Regression for Dimensionality Reduction, A
Framework of Joint Low-Rank and	sparse	Regression for Image Memorability Prediction, A
Framework of Mixed	sparse	Representations for Remote Sensing Images, A
Framing U-Net via Deep Convolutional Framelets: Application to	sparse	-View CT
Frank-Wolfe Network: An Interpretable Deep Structure for Non-	sparse	Coding
Free form face recognition using kernel	sparse	representation
Frequencygrams and multi-feature joint	sparse	representation for action and gesture recognition
From Affine Rank Minimization Solution to	sparse	Modeling
From Easy to Difficult: A Self-Paced Multi-Task Joint	sparse	Representation Method
From person to group re-identification via unsupervised transfer of	sparse	features
From	sparse	3-D Data Directly to Volumetric Shape Descriptions
From	sparse	Coding Significance to Perceptual Quality: A New Approach for Image Quality Assessment
From	sparse	to Dense: Semantic Graph Evolutionary Hashing for Unsupervised Cross-Modal Retrieval
From Theory to Application: Real-Time	sparse	SAR Imaging
Full and partial shape similarity through	sparse	descriptor reconstruction
Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest Regression and Hierarchical	sparse	Shape Composition
Fully automatic segmentation of AP pelvis X-rays via random forest regression with efficient feature selection and hierarchical	sparse	shape composition
Fully convolutional Deep Stacked Denoising	sparse	Auto encoder network for partial face reconstruction
Fully Trainable and Interpretable Non-local	sparse	Models for Image Restoration
Function4D: Real-time Human Volumetric Capture from Very	sparse	Consumer RGBD Sensors
Fused Estimation of	sparse	Connectivity Patterns From Rest fMRI: Application to Comparison of Children and Adult Brains
Fused	sparse	Network Learning for Longitudinal Analysis of Mild Cognitive Impairment
Fusing Hyperspectral and Multispectral Images via Coupled	sparse	Tensor Factorization
Fusing of Electroencephalogram and Eye Movement With Group	sparse	Canonical Correlation Analysis for Anxiety Detection
Fusing video and	sparse	depth data in structure from motion
Fusion Framework Based on	sparse	Gaussian-Wigner Prediction for Vehicle Localization Using GDOP of GPS Satellites, A
Fusion of dense spatial features and	sparse	temporal features for three-dimensional structure estimation in urban scenes
Fusion of Digital Elevation Models Using	sparse	Representations
Fusion of Hyperspectral and LiDAR Data Using	sparse	and Low-Rank Component Analysis
Fusion of public DEMs based on	sparse	representation and adaptive regularization variation model
Fusion of	sparse	Model Based on Randomly Erased Image for SAR Occluded Target Recognition
Futuristic Greedy Approach to	sparse	Unmixing of Hyperspectral Data
Fuzzy	sparse	Autoencoder Framework for Single Image Per Person Face Recognition
Fuzzy	sparse	Deviation Regularized Robust Principal Component Analysis
Fuzzy	sparse	Subspace Clustering for Infrared Image Segmentation
Fuzzy weighted	sparse	reconstruction error-steered semi-supervised learning for face recognition
Gabor Cube Selection Based Multitask Joint	sparse	Representation for Hyperspectral Image Classification
Gabor Feature Based	sparse	Representation for Face Recognition with Gabor Occlusion Dictionary
Gait Based Gender Recognition Using	sparse	Spatio Temporal Features
Gait recognition based on	sparse	linear subspace
Gaussian Mixture Model Based Semi-supervised	sparse	Representation for Face Recognition
Gaze prediction for first-person videos based on inverse non-negative	sparse	coding with determinant sparse measure
Gaze prediction for first-person videos based on inverse non-negative	sparse	coding with determinant sparse measure
Gender classification using 2-D ear images and	sparse	representation
General Formulation for Redundant Integration of Finite Differences and Phase Unwrapping on a	sparse	Multidimensional Domain, A
Generalised non-locally centralised image de-noising using	sparse	dictionary
Generalized Aggregation of	sparse	Coded Multi-Spectra for Satellite Scene Classification
Generalized Brain Image Synthesis with Transferable Convolutional	sparse	Coding Networks
Generalized Cone Descriptions from	sparse	3-D Data
Generalized Convolutional	sparse	Coding With Unknown Noise
Generalized Fast Iteratively Reweighted Soft-Thresholding Algorithm for	sparse	Coding Under Tight Frames in the Complex-Domain
Generalized group	sparse	classifiers with application in fMRI brain decoding
Generalized Iterated Shrinkage Algorithm for Non-convex	sparse	Coding, A
Generalized Likelihood Ratio Test and the	sparse	Representations Approach, The
Generalized multiple	sparse	information fusion for vehicle re-identification
Generalized pooling pyramid with hierarchical dictionary	sparse	coding for event and object recognition
Generalized Robust Regression for Jointly	sparse	Subspace Learning
Generalized	sparse	Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery
Generalized	sparse	Learning of Linear Models Over the Complete Subgraph Feature Set
Generalized	sparse	MRF appearance models
Generalized Spectral Bounds for	sparse	LDA
Generalized subspace pursuit and an application to	sparse	poisson denoising
Generalized Uncertainty Principle and	sparse	Representation in Pairs of Bases, A
Generated Data With	sparse	Regularized Multi-Pseudo Label for Person Re-Identification
Generation from	sparse	Data
Generative and Discriminative	sparse	Coding for Image Classification Applications
Generative Hierarchical Learning of	sparse	FRAME Models
Generative	sparse	Detection Networks for 3d Single-shot Object Detection
Generic	sparse	Graph Based Convolutional Networks for Face Recognition
Genetic	sparse	Distributed Memory Approach to the Application of Handwritten Character Recognition, A
Geodesic neighborhoods for piecewise affine interpolation of	sparse	data
Geometry Constrained	sparse	Coding for Single Image Super-Resolution
Gesture Control Using Active Difference Signatures and	sparse	Learning
Gesture recognition using	sparse	code of Hierarchical SOM
Global and local structure preserving	sparse	subspace learning: An iterative approach to unsupervised feature selection
Global and Local Tensor	sparse	Approximation Models for Hyperspectral Image Destriping
Global Iterative Geometric Calibration of a Linear Optical Satellite Based on	sparse	GCPs
global solution to	sparse	correspondence problems, A
Global	sparse	gradient guided variational Retinex model for image enhancement
Global Spatial and Local Spectral Similarity-Based Manifold Learning Group	sparse	Representation for Hyperspectral Imagery Classification
Global stereo matching leveraged by	sparse	ground control points
globally convergent approximate Newton method for non-convex	sparse	learning, A
Globally Variance-Constrained	sparse	Representation and Its Application in Image Set Coding
GLTC: A Metro Passenger Identification Method Across AFC Data and	sparse	WiFi Data
GMAT-DU: Traffic Anomaly Prediction With Fine Spatiotemporal Granularity in	sparse	Data
GMM-Aided DNN Bearing Fault Diagnosis Using	sparse	Autoencoder Feature Extraction
GP-S3Net: Graph-based Panoptic	sparse	Semantic Segmentation Network
GPR Target Detection by Joint	sparse	and Low-Rank Matrix Decomposition
GPSlam: Marrying	sparse	Geometric and Dense Probabilistic Visual Mapping
GPU-based fast hyperspectral image classification using joint	sparse	representation with spectral consistency constraint
Gradient projection for linearly constrained convex optimization in	sparse	signal recovery
Gradient-Based Methods For	sparse	Recovery
Gradients versus Grey Values for	sparse	Image Reconstruction and Inpainting-Based Compression
Graph connectivity in	sparse	subspace clustering
Graph Cut Segmentation Using a Constrained Statistical Model with Non-linear and	sparse	Shape Optimization
Graph Laplacian Regularization With	sparse	Coding for Image Restoration and Representation
Graph Neural Network Meets	sparse	Representation: Graph Sparse Neural Networks via Exclusive Group Lasso
Graph Neural Network Meets	sparse	Representation: Graph Sparse Neural Networks via Exclusive Group Lasso
Graph regularised	sparse	NMF factorisation for imagery de-noising
Graph regularized nonnegative	sparse	coding using incoherent dictionary for approximate nearest neighbor search
Graph Regularized	sparse	Coding for Image Representation
Graph Theoretic Approach to Direct Processing of	sparse	Unwarped Panoramic Images, A
graph-cut approach to image segmentation using an affinity graph based on L0-	sparse	representation of features, A
Graph-guided	sparse	reconstruction for region tagging
Graph-Preserving	sparse	Nonnegative Matrix Factorization With Application to Facial Expression Recognition
GraphRegNet: Deep Graph Regularisation Networks on	sparse	Keypoints for Dense Registration of 3D Lung CTs
GraphSAGE-Based Traffic Speed Forecasting for Segment Network With	sparse	Data
Grassmannian Manifold Optimization Assisted	sparse	Spectral Clustering
Grassmannian	sparse	Representations and Motion Depth Surfaces for 3D Action Recognition
Gray-level image denoising with an improved weighted	sparse	coding
Grayscale-Thermal Object Tracking via Multitask Laplacian	sparse	Representation
Grayscale-Thermal Tracking via Inverse	sparse	Representation-Based Collaborative Encoding
Greedy Approach to Ll_(0,inf)-Based Convolutional	sparse	Coding, A
Greedy dictionary learning for kernel	sparse	representation based classifier
Greedy Regression in	sparse	Coding Space for Single-Image Super-Resolution
Greedy-Based Design of	sparse	Two-Stage SVMs for Fast Classification
Grid-Less DOA Estimation Using	sparse	Linear Arrays Based on Wasserstein Distance
Gridless Direction of Arrival Estimation Exploiting	sparse	Linear Array
Gridless DOA Estimation Method for	sparse	Sensor Array, A
group lasso based	sparse	KNN classifier, A
Group Re-identification via Unsupervised Transfer of	sparse	Features Encoding
Group Replicator Dynamics: A Novel Group-Wise Evolutionary Approach for	sparse	Brain Network Detection
Group	sparse	autoencoder
Group	sparse	Multiview Patch Alignment Framework With View Consistency for Image Classification
Group	sparse	Non-negative Matrix Factorization for Multi-Manifold Learning
Group	sparse	Optimization for Images Recovery Using Capped Folded Concave Functions
Group	sparse	Reduced Rank Tensor Regression for Micro-Expression Recognition
Group	sparse	representation of adaptive sub-domain selection for image classification
Group	sparse	-Based Mid-Level Representation for Action Recognition
Group-Based	sparse	Representation for Image Restoration
Group-based	sparse	representation for low lighting image enhancement
GSLD: A Global Scanner with Local Discriminator Network for Fast Detection of	sparse	Plasma Cell in Immunohistochemistry
Guest Editorial:	sparse	Coding
Guided	sparse	Feature Matching Via Coarsely Defined Dense Matches
Half-Quadratic-Based Iterative Minimization for Robust	sparse	Representation
Hallucinating Dense Optical Flow from	sparse	Lidar for Autonomous Vehicles
Handwritten Signature Verification via Deep	sparse	Coding Architecture
Hardware-software optimizations of reconfigurable multi-core processors for floating-point computations of large	sparse	matrices
Hash-Based Identification of	sparse	Image Tampering
Head Detection and Localization from	sparse	3D Data
Heart Rate Detection From Facial Videos Using A Frequencyconstrained Multilayer	sparse	Coding
Heat Kernels for Non-Rigid Shape Retrieval:	sparse	Representation and Efficient Classification
HEP-2 cell image classification using local features and K-means clustering based joint	sparse	representation
HEp-2 cells classification via	sparse	representation of textural features fused into dissimilarity space
Hessian Regularized	sparse	Coding for Human Action Recognition
Hessian Semi-Supervised	sparse	Feature Selection Based on L_2,1/2 -Matrix Norm
Heterogeneous Feature Fusion Based Machine Learning on Shallow-wide and Heterogeneous-	sparse	Industrial Datasets
Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and	sparse	Group LASSO
Heterogeneous Recommendation via Deep Low-Rank	sparse	Collective Factorization
Heterogeneous Visual Features Fusion via	sparse	Multimodal Machine
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from	sparse	Image Ensemble
Hierarchical and Spatio-Temporal	sparse	Representation for Human Action Recognition
Hierarchical Bayesian	sparse	Image Reconstruction With Application to MRFM
Hierarchical classification of images by	sparse	approximation
Hierarchical Classification of Images by	sparse	Approximation 1
Hierarchical Dictionary Learning and	sparse	Coding for Static Signature Verification
Hierarchical electricity time series prediction with cluster analysis and	sparse	penalty
Hierarchical feature concatenation-based kernel	sparse	representations for image categorization
Hierarchical Fully Convolutional Network Integrated with	sparse	and Low-Rank Subspace Representations for PolSAR Imagery Classification, A
Hierarchical image representation via multi-level	sparse	coding
Hierarchical invariant	sparse	modeling for image analysis
Hierarchical learning of multi-task	sparse	metrics for large-scale image classification
hierarchical local region-based	sparse	shape composition for liver segmentation in CT scans, A
Hierarchical Lung Field Segmentation With Joint Shape and Appearance	sparse	Learning
Hierarchical Patch-Based	sparse	Representation: A New Approach for Resolution Enhancement of 4D-CT Lung Data
Hierarchical	sparse	Bayesian Learning with Beta Process Priors for Hyperspectral Imagery Restoration
Hierarchical	sparse	coding with geometric prior for visual geo-location
Hierarchical	sparse	Modeling for Representative Selection in Choreographic Time Series
Hierarchical	sparse	Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability
Hierarchical	sparse	Representation for Robust Image Registration
Hierarchical	sparse	Signal Recovery by Variational Bayesian Inference
Hierarchical	sparse	Spectral Clustering For Image Set Classification
Hierarchical	sparse	Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis
Hierarchical spatial pyramid max pooling based on SIFT features and	sparse	coding for image classification
High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level	sparse	Representation
High Order Tensor Formulation for Convolutional	sparse	Coding
High-accuracy wave field reconstruction: decoupled inverse imaging with	sparse	modeling of phase and amplitude
High-Dimensional	sparse	Hashing Framework for Cross-Modal Retrieval, A
High-quality image interpolation via local autoregressive and nonlocal 3-D	sparse	regularization
High-Resolution Azimuth Missing Data SAR Imaging Based on	sparse	Representation Autofocusing
High-Resolution ISAR Imaging and Motion Compensation With 2-D Joint	sparse	Reconstruction
High-Resolution ISAR Imaging Under Low SNR With	sparse	Stepped-Frequency Chirp Signals
High-Resolution ISAR Imaging With	sparse	Stepped-Frequency Waveforms
High-Resolution Modeling of Moving and Deforming Objects Using	sparse	Geometric and Dense Photometric Measurements
High-resolution reconstruction of	sparse	data from dense low-resolution spatio-temporal data
High-Resolution	sparse	Subband Imaging Based on Bayesian Learning With Hierarchical Priors
high-resolution technique for ultrasound harmonic imaging using	sparse	representations in gabor frames, A
Hippocampus Segmentation Based on Orientation-Scale Descriptor and	sparse	Coding
Histograms of	sparse	Codes for Object Detection
Histopathological Image Classification Through Discriminative Feature Learning and Mutual Information-Based Multi-Channel Joint	sparse	Representation
HMD-NeMo: Online 3D Avatar Motion Generation From	sparse	Observations
HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for	sparse	Depth Completion
Hooke and jeeves algorithm for linear least-square problems in	sparse	signal reconstruction
How to Learn the Effect of Non-Uniform Distortion on Perceived Visual Quality? Case Study Using Convolutional	sparse	Coding for Quality Assessment of Synthesized Views
How Well Do	sparse	ImageNet Models Transfer?
HRTF personalization based on weighted	sparse	representation of anthropometric features
HSETA: A Heterogeneous and	sparse	Data Learning Hybrid Framework for Estimating Time of Arrival
Human action recognition based on	sparse	representation induced by L1/L2 regulations
Human Action Recognition Using LBP-TOP as	sparse	Spatio-Temporal Feature Descriptor
Human Action Recognition,	sparse	Techniques, Low-Rank, SVM
Human activities prediction by learning combinatorial	sparse	representations
Human activity detection using	sparse	representation
Human Gait Recognition Using Patch Distribution Feature and Locality-Constrained Group	sparse	Representation
Human Gait Recognition via	sparse	Discriminant Projection Learning
Human Identification From ECG Signals Via	sparse	Representation of Local Segments
Human motion capture data recovery via trajectory-based	sparse	representation
Human Motion Segmentation via Robust Kernel	sparse	Subspace Clustering
HumanNeRF: Efficiently Generated Human Radiance Field from	sparse	Inputs
Hybrid Aggregation of	sparse	Coded Descriptors for Food Recognition
hybrid evolutionary algorithm for multiobjective	sparse	reconstruction, A
Hybrid fitting energy-based fast level set model for image segmentation solving by algebraic multigrid and	sparse	field method
Hybrid Frequency-Spatial Domain Model for	sparse	Image Reconstruction in Scanning Transmission Electron Microscopy, A
Hybrid Function	sparse	Representation Towards Image Super Resolution
Hybrid Probabilistic	sparse	Coding With Spatial Neighbor Tensor for Hyperspectral Imagery Classification
Hybrid	sparse	Subspace Clustering for Visual Tracking
Hybrid Wavelet Convolution Network with	sparse	-Coding for Image Super-Resolution, A
HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and	sparse	IMUs
Hypergraph-regularized	sparse	representation for single color image super resolution
Hyperpixels: Flexible 4D Over-Segmentation for Dense and	sparse	Light Fields
Hyperspectral and Multispectral Image Fusion Based on a	sparse	Representation
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Approximation and	sparse	Representation
Hyperspectral anomalous change detection based on joint	sparse	representation
Hyperspectral Anomaly Detection Method Based on Low-Rank and	sparse	Decomposition With Density Peak Guided Collaborative Representation, A
Hyperspectral Anomaly Detection via Background Estimation and Adaptive Weighted	sparse	Representation
Hyperspectral Anomaly Detection via Discriminative Feature Learning with Multiple-Dictionary	sparse	Representation
Hyperspectral Dimensionality Reduction by Tensor	sparse	and Low-Rank Graph-Based Discriminant Analysis
Hyperspectral Feature Extraction Using	sparse	and Smooth Low-Rank Analysis
Hyperspectral Image Classification Based on	sparse	Superpixel Graph
Hyperspectral Image Classification Based on Structured	sparse	Logistic Regression and Three-Dimensional Wavelet Texture Features
Hyperspectral Image Classification Using Dictionary-Based	sparse	Representation
Hyperspectral Image Classification via Kernel	sparse	Representation
Hyperspectral Image Classification via Multitask Joint	sparse	Representation and Stepwise MRF Optimization
Hyperspectral image clustering via	sparse	dictionary-based anchored regression
Hyperspectral image compression based on simultaneous	sparse	representation and general-pixels
Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and	sparse	Representations
Hyperspectral Image Denoising via	sparse	Representation and Low-Rank Constraint
Hyperspectral Image Kernel	sparse	Subspace Clustering With Spatial Max Pooling Operation
Hyperspectral Image Reconstruction Based on Spatial-Spectral Domains Low-Rank	sparse	Representation
Hyperspectral Image Resolution Enhancement Approach Based on Local Adaptive	sparse	Unmixing and Subpixel Calibration
hyperspectral image restoration method based on analysis	sparse	filter, A
Hyperspectral image super-resolution based on non-factorization	sparse	representation and dictionary learning
Hyperspectral Image Super-Resolution Method Based on Spectral Smoothing Prior and Tensor Tubal Row-	sparse	Representation
Hyperspectral Image Super-Resolution via Non-local	sparse	Tensor Factorization
Hyperspectral Image Super-Resolution via Non-Negative Structured	sparse	Representation
Hyperspectral image, video compression using	sparse	Tucker tensor decomposition
Hyperspectral Imagery Classification Using	sparse	Representations of Convolutional Neural Network Features
Hyperspectral Imagery Denoising via Reweighed	sparse	Low-Rank Nonnegative Tensor Factorization
Hyperspectral Images Denoising via Nonconvex Regularized Low-Rank and	sparse	Matrix Decomposition
Hyperspectral Mixture Modeling for Quantifying	sparse	Vegetation Cover in Arid Environments
Hyperspectral Target Detection via Adaptive Joint	sparse	Representation and Multi-Task Learning with Locality Information
Hyperspectral Unmixing Based on Dual-Depth	sparse	Probabilistic Latent Semantic Analysis
Hyperspectral Unmixing Using Orthogonal	sparse	Prior-Based Autoencoder With Hyper-Laplacian Loss and Data-Driven Outlier Detection
Hyperspectral Unmixing with Robust Collaborative	sparse	Regression
I See-Through You: A Framework for Removing Foreground Occlusion in Both	sparse	and Dense Light Field Images
Identification of	sparse	Audio Tampering Using Distributed Source Coding and Compressive Sensing Techniques
Identifying Correspondences in	sparse	and Varying 3D Point Clouds using Distinctive Features
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware	sparse	Bayesian Learning
IGSSTRCF: Importance Guided	sparse	Spatio-Temporal Regularized Correlation Filters For Tracking
IHT Algorithm for	sparse	Recovery From Subexponential Measurements, An
II-LK: A Real-Time Implementation for	sparse	Optical Flow
Illumination and Expression Invariant Recognition Using SSIM Based	sparse	Representation
Illumination Estimation Based on Bilayer	sparse	Coding
Illumination Recovery From Image With Cast Shadows Via	sparse	Representation
Illumination robust face recognition using random projection and	sparse	representation
Illumination-robust face recognition via	sparse	representation
iLogBook: Enabling Text-Searchable Event Query Using	sparse	Vehicle-Mounted GPS Data
Image authentication using a vector beam with	sparse	phase information
Image based rendering technique via	sparse	representation in shearlet domain
Image classification by non-negative	sparse	coding, correlation constrained low-rank and sparse decomposition
Image classification by non-negative	sparse	coding, correlation constrained low-rank and sparse decomposition
Image classification by non-negative	sparse	coding, low-rank and sparse decomposition
Image classification by non-negative	sparse	coding, low-rank and sparse decomposition
Image classification using RBM to encode local descriptors with group	sparse	learning
Image classification using spatial pyramid robust	sparse	coding
Image clustering based on	sparse	patch alignment framework
Image collection summarization via dictionary learning for	sparse	representation
Image compression by	sparse	PCA coding in curvelet domain
Image Compression Using Stochastic-AFD Based Multisignal	sparse	Representation
Image Compression:	sparse	Coding vs. Bottleneck Autoencoders
Image compressive sensing using group	sparse	representation via truncated nuclear norm minimization
Image compressive sensing via hybrid regularization combining centralized group	sparse	representation and deep denoiser prior
Image copy-move forgery detection using	sparse	recovery and keypoint matching
Image deblocking using group-based	sparse	representation and quantization constraint prior
Image deblocking via	sparse	representation
Image Deblurring and Super-Resolution by Adaptive	sparse	Domain Selection and Adaptive Regularization
Image Decomposition and Separation Using	sparse	Representations: An Overview
Image Decomposition and Texture Segmentation via	sparse	Representation
Image decomposition using optimally	sparse	representations and a variational approach
Image decomposition via the combination of	sparse	representations and a variational approach
Image deconvolution using tree-structured Bayesian group	sparse	modeling
image denoising algorithm for mixed noise combining nonlocal means filter and	sparse	representation technique, An
Image denoising based on	sparse	representation and gradient histogram
Image Denoising by	sparse	3-D Transform-Domain Collaborative Filtering
Image denoising employing local mixture models in	sparse	domains
Image denoising method based on variable exponential fractional-integer-order total variation and tight frame	sparse	regularization
Image Denoising Using Convolutional	sparse	Coding Network with Dry Friction
Image denoising using multi-stage	sparse	representations
Image Denoising Using Non-Negative	sparse	Coding Shrinkage Algorithm
Image Denoising Using	sparse	Representation and Principal Component Analysis
Image denoising using	sparse	representation classification and non-subsampled shearlet transform
Image denoising via correlation-based	sparse	representation
Image Denoising via Improved	sparse	Coding
Image Denoising Via Learned Dictionaries and	sparse	representation
Image Denoising Via	sparse	and Redundant Representations Over Learned Dictionaries
Image denoising via	sparse	approximation using eigenvectors of graph Laplacian
Image Feature Extraction and Denoising by	sparse	Coding
Image Feature Extraction by	sparse	Coding and Independent Component Analysis
Image fusion based on a	sparse	linear system
Image fusion based on multi-scale transform and	sparse	representation: an image energy approach
Image Fusion for Spatial Enhancement of Hyperspectral Image via Pixel Group Based Non-Local	sparse	Representation
Image fusion method based on simultaneous	sparse	representation with non-subsampled contourlet transform
Image fusion method based on spatially masked convolutional	sparse	representation
Image fusion via	sparse	regularization with non-convex penalties
Image Fusion With Convolutional	sparse	Representation
Image inpainting via Weighted	sparse	Non-negative Matrix Factorization
Image Matting for	sparse	User Input by Iterative Refinement
Image Matting with KL-Divergence Based	sparse	Sampling
Image modeling and enhancement via structured	sparse	model selection
Image prediction: Template matching vs.	sparse	approximation
Image Quality Assessment Using Kernel	sparse	Coding
Image Quality Measurement Using	sparse	Extreme Learning Machine Classifier
Image Rain Removal algorithm based on the depth of field and	sparse	coding, An
Image Reconstruction by	sparse	Coding and Selective Attention
Image reconstruction for compressed sensing based on joint	sparse	bases and adaptive sampling
Image Reconstruction from	sparse	Projections Using S-Transform
Image Reconstruction in Electrical Impedance Tomography Based on Structure-Aware	sparse	Bayesian Learning
Image Registration with	sparse	Approximations in Parametric Dictionaries
Image restoration through L0 analysis-based	sparse	optimization in tight frames
Image restoration using a	sparse	quadtree decomposition representation
Image Restoration Using Joint Patch-Group-Based	sparse	Representation
Image restoration via Bayesian structured	sparse	coding
Image restoration via exponential scale mixture-based simultaneous	sparse	prior
Image Restoration via Simultaneous	sparse	Coding: Where Structured Sparsity Meets Gaussian Scale Mixture
Image restoration with group	sparse	representation and low-rank group residual learning
Image Restoration: From	sparse	and Low-Rank Priors to Deep Priors
Image Saliency Detection with	sparse	Representation of Learnt Texture Atoms
Image Segmentation by Unsupervised	sparse	Clustering
Image Segmentation Using a	sparse	Coding Model of Cortical Area V1
Image segmentation using dense and	sparse	hierarchies of superpixels
Image Segmentation Using	sparse	Subset Selection
Image Sequence Denoising via	sparse	and Redundant Representations
Image set classification based on cooperative	sparse	representation
Image Set Classification Using	sparse	Bayesian Regression
Image Set Compression with Content Adaptive	sparse	Dictionary
Image Sharpness Assessment by	sparse	Representation
Image Signature: Highlighting	sparse	Salient Regions
Image Similarity Using	sparse	Representation and Compression Distance
Image super resolution using saliency-modulated context-aware	sparse	decomposition
Image Super Resolution Using	sparse	Image and Singular Values as Priors
Image super-resolution as	sparse	representation of raw image patches
Image Super-Resolution Based on Structure-Modulated	sparse	Representation
Image super-resolution by structural	sparse	coding
Image super-resolution reconstruction based on	sparse	representation and deep learning
Image super-resolution using graph regularized block	sparse	representation
Image super-resolution using	sparse	coding over redundant dictionary based on effective image representations
Image super-resolution via adaptive	sparse	representation and self-learning
Image Super-Resolution Via Analysis	sparse	Prior
Image super-resolution via nonlocal similarity and group structured	sparse	representation
Image Super-Resolution Via	sparse	Representation
Image super-resolution via	sparse	representation over multiple learned dictionaries based on edge sharpness
Image super-resolution via	sparse	representation over multiple learned dictionaries based on edge sharpness and gradient phase angle
Image Super-Resolution with Non-Local	sparse	Attention
Image Super-Resolution With Parametric	sparse	Model Learning
Image Super-Resolution with	sparse	Neighbor Embedding
Image tag completion via dual-view linear	sparse	reconstructions
Image Tag Completion via Image-Specific and Tag-Specific Linear	sparse	Reconstructions
Image-Aided	sparse	Point Cloud Registration Strategy for Managing Stockpiles in Dome Storage Facilities, An
Image-based 3D Surface Reconstruction by Combination of	sparse	Depth Data with Shape from Shading and Polarisation
Image-to-Set Face Recognition Using Locality Repulsion Projections and	sparse	Reconstruction-Based Similarity Measure
Images of 3-D Maneuvering Motion Targets for Interferometric ISAR With 2-D Joint	sparse	Reconstruction
Imaging a Moving Point Source from Multifrequency Data Measured at One and	sparse	Observation Directions (Part I): Far-Field Case
Imaging Genetics Study Based on a Temporal Group	sparse	Regression and Additive Model for Biomarker Detection of Alzheimer's Disease
Imaging of the SEG/EAGE Salt Model Seismic Data Using	sparse	f-x Finite-Impulse-Response Wavefield Extrapolation Filters
Impact of Modeling Abstractions When Estimating Leaf Mass per Area and Equivalent Water Thickness over	sparse	Forests Using a Hybrid Method
Implicit kernel	sparse	shape representation: a sparse-neighbors-based objection segmentation framework
Implicit kernel	sparse	shape representation: a sparse-neighbors-based objection segmentation framework
Implicit spatial inference with	sparse	local features
Improve robustness of	sparse	PCA by L1-norm maximization
Improved 3D	sparse	maps for high-performance SFM with low-cost omnidirectional robots
Improved Aggregated-Mosaic Method for the	sparse	Object Detection of Remote Sensing Imagery, An
Improved Attributed Scattering Model Optimized by Incremental	sparse	Bayesian Learning, An
Improved Auto-Calibration Algorithm Based on	sparse	Bayesian Learning Framework, An
Improved class statistics estimation for	sparse	data problems in offline signature verification
Improved Group	sparse	Classifier
Improved hypergraph regularized Nonnegative Matrix Factorization with	sparse	representation
Improved Image Set Classification via Joint	sparse	Approximated Nearest Subspaces
Improved iteratively reweighted least squares algorithms for	sparse	recovery problem
Improved Joint	sparse	Models for Hyperspectral Image Classification Based on a Novel Neighbour Selection Strategy
improved label fusion approach with	sparse	patch-based representation for MRI brain image segmentation, An
Improved License Plate Recognition for Low-Resolution CCTV Forensics by Integrating	sparse	Representation-Based Super-Resolution
improved locally linear embedding for	sparse	data sets, An
Improved Non Convex Optimization Algorithm for Reconstruction of	sparse	Signals
Improved outlier detection using	sparse	coding-based methods
improved point feature-based	sparse	stereo vision, An
Improved quadruple	sparse	census transform and adaptive multi-shape aggregation algorithms for precise stereo matching
Improved Recovery of Analysis	sparse	Vectors in Presence of Prior Information
Improved RFI Mitigation Approach for SAR Based on Low-Rank	sparse	Decomposition: From the Perspective of Useful Signal Protection, An
Improved	sparse	approximation over quasi-incoherent dictionaries
Improved	sparse	coding using manifold projections
Improved	sparse	representation algorithm for optical coherence tomography images
Improved	sparse	representation method for image classification
Improved Sufficient Condition for	sparse	Signal Recovery With Minimization of L1-L2, An
Improving Appearance-Based 3D Face Tracking Using	sparse	Stereo Data
Improving Estimation of Woody Aboveground Biomass of	sparse	Mixed Forest over Dryland Ecosystem by Combining Landsat-8, GaoFen-2, and UAV Imagery
Improving facial expression analysis using histograms of Log-Transformed Nonnegative	sparse	Representation with a Spatial Pyramid Structure
Improving Multi-frame Data Association with	sparse	Representations for Robust Near-online Multi-object Tracking
Improving Performance of Feature Extraction in Sfm Algorithms for 3d	sparse	Point Cloud
Improving Random Forests by Correlation-Enhancing Projections and Sample-Based	sparse	Discriminant Selection
Improving	sparse	3D Models for Man-Made Environments Using Line-Based 3D Reconstruction
Improving	sparse	graph attention for feature matching by informative keypoints exploration
Improving	sparse	Multichannel Blind Deconvolution with Correlated Seismic Data: Foundations and Further Results
Improving the Impervious Surface Estimation from Hyperspectral Images Using a Spectral-Spatial Feature	sparse	Representation and Post-Processing Approach
Improving the Quality of	sparse	-view Cone-beam Computed Tomography via Reconstruction-friendly Interpolation Network
Improving the Table Boundary Detection in PDFs by Fixing the Sequence Error of the	sparse	Lines
Improving Thin Structures in Surface Reconstruction from	sparse	Point Cloud
In Defense of	sparse	Tracking: Circulant Sparse Tracker
In Defense of	sparse	Tracking: Circulant Sparse Tracker
In-air handwritten Chinese character recognition using discriminative projection based on locality-sensitive	sparse	representation
In-air handwritten Chinese character recognition with locality-sensitive	sparse	representation toward optimized prototype classifier
In-band sub-pixel registration of wavelet-encoded images from	sparse	coefficients
in-depth study of	sparse	codes on abnormality detection, An
Incoherent dictionary learning for	sparse	representation
Incoherent dictionary learning for	sparse	representation based image denoising
Increasing depth resolution of electron microscopy of neural circuits using	sparse	tomographic reconstruction
Increasing Imaging Resolution by Non-Regular Sampling and Joint	sparse	Deconvolution and Extrapolation
Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of	sparse	LiDAR Data
Incremental learning based on block	sparse	kernel nonnegative matrix factorization
Incremental low-rank and	sparse	decomposition for compressing videos captured by fixed cameras
Incremental Principal Component Analysis-Based	sparse	Representation for Face Pose Classification
Incremental Reconstruction of Manifold Surface from	sparse	Visual Mapping
Incremental Solid Modeling from	sparse	and Omnidirectional Structure-from-Motion Data
Incremental Solid Modeling from	sparse	Structure-from-Motion Data with Improved Visual Artifacts Removal
Incremental	sparse	saliency detection
Incremental structural modeling on	sparse	visual SLAM
Incremental Surface Extraction from	sparse	Structure-from-Motion Point Clouds
Incremental Training of a Detector Using Online	sparse	Eigendecomposition
Inexact Matching of Large and	sparse	Graphs Using Laplacian Eigenvectors
Inference of Black Hole Fluid-Dynamics from	sparse	Interferometric Measurements
Inference of Integrated Surface, Curve, and Junction Descriptions from	sparse	3D Data
Inference of Surfaces from	sparse	3-D Points
Inference of Surfaces, 3D Curves and Junctions from	sparse	3D Data
Inference of Surfaces, 3D Curves, and Junctions from	sparse	, Noisy, 3D Data
Inferring Planar Patch Equations from	sparse	View Stereo Images
Infinite	sparse	Factor Analysis for Blind Source Separation in Reverberant Environments
Information bottleneck disentanglement based	sparse	representation for fair classification
Informative feature selection for object recognition via	sparse	PCA
Informed Group-	sparse	Representation for Singing Voice Separation
Infrared and Visible Image Fusion Based on	sparse	Representation and Spatial Frequency in DTCWT Domain
Infrared Maritime Small Target Detection Based on Multidirectional Uniformity and	sparse	-Weight Similarity
Infrasound Source Localization of Distributed Stations Using	sparse	Bayesian Learning and Bayesian Information Fusion
Ingredient Separation of Natural Images: A Multiple Transform Domain Method Based on	sparse	Coding Strategy
Initialized and Guided EM-clustering of	sparse	Binary Data with Application to Text Based Documents
Inpainting of	sparse	occlusion in face recognition
INS-Conv: Incremental	sparse	Convolution for Online 3D Segmentation
Insect Species Recognition using	sparse	Representation
Insights Into Analysis Operator Learning: From Patch-Based	sparse	Models to Higher Order MRFs
Instance Selection Using Nonlinear	sparse	Modeling
Instrument Learning and	sparse	NMD for Automatic Polyphonic Music Transcription
Integrability-regularized phase unwrapping via	sparse	error correction
Integrated framework for real-time urban network travel time prediction on	sparse	probe data
integrated inverse space	sparse	representation framework for tumor classification, An
Integrated Segmentation and Interpolation of	sparse	Data
Integrated Spatio-Spectral-Temporal	sparse	Representation Method for Fusing Remote-Sensing Images With Different Resolutions, An
Integrated Surface, Curve and Junction Inference from	sparse	3-D Data Sets
Integrating ILSR to Bag-of-Visual Words Model Based on	sparse	Codes of SIFT Features Representations
Integrating Multiple Global and Local Features by Product	sparse	Coding for Image Retrieval
Integrating	sparse	and Collaborative Representation Classifications for Image Classification
Integrating	sparse	Reconstruction Saliency and Target-Aware Active Contour Model for Airport Extraction
Integration of Hyperspectral Imagery and	sparse	Sonar Data for Shallow Water Bathymetry Mapping
Intelligent Building Occupancy Detection System Based on	sparse	Auto-Encoder, An
Intelligent Localization of a High-Speed Train Using LSSVM and the Online	sparse	Optimization Approach
Intelligent Pedestrian Tracking Algorithm Based on	sparse	Models in Urban Road Scene, An
Intensity Estimation of Spectroscopic Signals With an Improved	sparse	Reconstruction Algorithm
Interaction Recognition Using	sparse	Portraits
Interactions Between Large-Scale Functional Brain Networks are Captured by	sparse	Coupled HMMs
Interactive modeling from dense color and	sparse	depth
Interest points based object tracking via	sparse	representation
Interferometric Phase Image Estimation via	sparse	Coding in the Complex Domain
Interferometric Phase Retrieval for Multimode InSAR via	sparse	Recovery
Interior Point Method for Nonnegative	sparse	Signal Reconstruction, An
Interleaved Structured	sparse	Convolutional Neural Networks
Interpolating	sparse	GPS Measurements Via Relaxation Labeling and Belief Propagation for the Redeployment of Ambulances
Interpolation of Reference Images in	sparse	Dictionary for Global Image Registration
Interpolation-Aware Padding for 3D	sparse	Convolutional Neural Networks
Interpretable Structured Learning with	sparse	Gated Sequence Encoder for Protein-Protein Interaction Prediction
Interpretive Tools for 3-D Structural Geological Modelling Part II: Surface Design from	sparse	Spatial Data
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of	sparse	CNNs
Intra-Class Variation Reduction Using Training Expression Images for	sparse	Representation Based Facial Expression Recognition
Intraoperative Correction of Liver Deformation Using	sparse	Surface and Vascular Features via Linearized Iterative Boundary Reconstruction
Intrinsic Image Decomposition Using a	sparse	Representation of Reflectance
Intrinsic image estimation using near- L0	sparse	optimization
Intrinsic images decomposition using a local and global	sparse	representation of reflectance
Intrinsic line features and contour metric for locating 3-D objects in	sparse	, segmented range images
Invariant Surface and Motion Estimation from	sparse	Range Data
Inverse	sparse	Group Lasso Model for Robust Object Tracking
Inverse	sparse	Tracker With a Locally Weighted Distance Metric
Inverse Synthetic Aperture Radar	sparse	Imaging Exploiting the Group Dictionary Learning
IP-LSSVM: A two-step	sparse	classifier
Iris recognition based on	sparse	representation and k-nearest subspace with genetic algorithm
Iris recognition using quaternionic	sparse	orientation code (QSOC)
Isolated Handwritten Farsi Numerals Recognition Using	sparse	and Over-Complete Representations
Isolating top-k dense regions with filtration of	sparse	background
Isomorphic and	sparse	multimodal data representation based on correlation analysis
Issues in Shape Description and an Approach for Working with	sparse	Data
Iterative Convex Refinement for	sparse	Recovery
Iterative Coordinate Descent Algorithm to Compute	sparse	Low-Rank Approximations, An
Iterative Re-Constrained Group	sparse	Face Recognition With Adaptive Weights Learning
Iterative Soft/Hard Thresholding With Homotopy Continuation for	sparse	Recovery
Iterative	sparse	and deep learning for accurate diagnosis of Alzheimer's disease
Iterative	sparse	Coding for Colorization Based Compression
Iterative Threshold Algorithm of Log-Sum Regularization for	sparse	Problem, An
Iterative weighted	sparse	representation for X-ray cardiovascular angiogram image denoising over learned dictionary
Iteratively Reweighted Minimax-Concave Penalty Minimization for Accurate Low-rank Plus	sparse	Matrix Decomposition
Joint Bilateral Filtering and Spectral Similarity-Based	sparse	Representation: A Generic Framework for Effective Feature Extraction and Data Classification in Hyperspectral Imaging
Joint Content-Adaptive Dictionary Learning And	sparse	Selective Extrapolation For Cross-Spectral Image Reconstruction
Joint Convolutional Analysis and Synthesis	sparse	Representation for Single Image Layer Separation
Joint coupled dictionaries-based visible-infrared image fusion method via texture preservation structure in	sparse	domain
Joint Design of Measurement Matrix and	sparse	Support Recovery Method via Deep Auto-Encoder
Joint DOA and Frequency Estimation With Sub-Nyquist Sampling in the	sparse	Array System
Joint dynamic	sparse	learning and its application to multi-view face recognition
Joint dynamic	sparse	representation for multi-view face recognition
Joint gaze-correction and beautification of DIBR-synthesized human face via dual	sparse	coding
Joint graph regularized dictionary learning and	sparse	ranking for multi-modal multi-shot person re-identification
Joint Group	sparse	PCA for Compressed Hyperspectral Imaging
Joint Hapke Model and Spatial Adaptive	sparse	Representation with Iterative Background Purification for Martian Serpentine Detection
Joint hypergraph learning and	sparse	regression for feature selection
Joint image deblurring and matching with feature-based	sparse	representation prior
Joint Image Restoration and Matching Based on Distance-Weighted	sparse	Representation
Joint Image Restoration and Matching Based on Hierarchical	sparse	Representation
Joint image restoration and matching method based on distance-weighted	sparse	representation prior
Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled	sparse	Priors
Joint Intensity and Depth Co-	sparse	Analysis Model for Depth Map Super-resolution, A
Joint Local Abundance	sparse	Unmixing for Hyperspectral Images
Joint Local Block Grouping with Noise-Adjusted Principal Component Analysis for Hyperspectral Remote-Sensing Imagery	sparse	Unmixing
Joint Low-Rank and	sparse	Principal Feature Coding for Enhanced Robust Representation and Visual Classification
Joint medical image fusion, denoising and enhancement via discriminative low-rank	sparse	dictionaries learning
Joint nonlocal	sparse	representation for depth map super-resolution
Joint optimization of manifold learning and	sparse	representations
Joint Optimization of	sparse	FDAs for Time Invariant Transmit Beampattern Synthesis
Joint People Recognition across Photo Collections Using	sparse	Markov Random Fields
Joint Regression Modeling and	sparse	Spatial Refinement for High-Quality Reconstruction of Distorted Color Images
Joint Semantic Preserving	sparse	Hashing for Cross-Modal Retrieval
Joint	sparse	and Low-Rank Decomposition for Pansharpening of Multispectral Images, A
Joint	sparse	and Low-Rank Multi-Task Learning with Extended Multi-Attribute Profile for Hyperspectral Target Detection
Joint	sparse	and Low-Rank Multitask Learning with Laplacian-Like Regularization for Hyperspectral Classification
Joint	sparse	Aperture ISAR Autofocusing and Scaling via Modified Newton Method-Based Variational Bayesian Inference
Joint	sparse	Coding and Frame Optimization
Joint	sparse	Learning for 3-D Facial Expression Generation
Joint	sparse	Learning With Nonlocal and Local Image Priors for Image Error Concealment
Joint	sparse	matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection
Joint	sparse	principal component analysis
Joint	sparse	Recovery for Signals of Spark-Level Sparsity and MMV Tail-L_2,1 Minimization
Joint	sparse	Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media, A
Joint	sparse	Recovery With Semisupervised MUSIC
Joint	sparse	Representation and Multitask Learning for Hyperspectral Target Detection
Joint	sparse	Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking
Joint	sparse	Representation for Robust Multimodal Biometrics Recognition
Joint	sparse	Representation of Brain Activity Patterns in Multi-Task fMRI Data
Joint	sparse	Sub-Pixel Mapping Model with Endmember Variability for Remotely Sensed Imagery
Joint Sparsity Based	sparse	Subspace Clustering for Hyperspectral Images
Joint Statistical and Spatial	sparse	Representation for Robust Image and Image-Set Classification
Joint Structured Sparsity and Least Entropy Constrained	sparse	Aperture Radar Imaging and Autofocusing
Joint Use of PROSAIL and DART for Fast LUT Building: Application to Gap Fraction and Leaf Biochemistry Estimations over	sparse	Oak Stands
Joint-Connectivity-Based	sparse	Canonical Correlation Analysis of Imaging Genetics for Detecting Biomarkers of Parkinson's Disease
Joint-	sparse	Signal Reconstruction Based on Common Support Set Refinement
Joint-	sparse	-Blocks and Low-Rank Representation for Hyperspectral Unmixing
jointly local structured	sparse	deep learning network for face recognition, A
Jointly	sparse	fast hashing with orthogonal learning for large-scale image retrieval
Jointly	sparse	Hashing for Image Retrieval
Jointly	sparse	Locality Regression for Image Feature Extraction
Jointly Using Low-Rank and Sparsity Priors for	sparse	Inverse Synthetic Aperture Radar Imaging
JPEG Artifacts Reduction via Deep Convolutional	sparse	Coding
JPEG-matched data filling of	sparse	images
K-CPD: Learning of overcomplete dictionaries for tensor	sparse	coding
K-SVD: An Algorithm for Designing Overcomplete Dictionaries for	sparse	Representation
K-WEB: Nonnegative dictionary learning for	sparse	image representations
Kernel based	sparse	representation for face recognition
Kernel Combined	sparse	Representation for Disease Recognition
Kernel eigenmaps based multiscale	sparse	model for hyperspectral image classification
Kernel Homotopy based	sparse	representation for object classification
Kernel Joint	sparse	Representation Based on Self-Paced Learning for Hyperspectral Image Classification
Kernel Low-Rank and	sparse	Graph for Unsupervised and Semi-Supervised Classification of Hyperspectral Images
Kernel	sparse	Multitask Learning for Hyperspectral Image Classification With Empirical Mode Decomposition and Morphological Wavelet-Based Features
Kernel	sparse	Representation for Image Classification and Face Recognition
Kernel	sparse	representation with local patterns for face recognition
Kernel	sparse	subspace clustering
Kernel	sparse	Subspace Clustering on Symmetric Positive Definite Manifolds
Kernel	sparse	Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation
Kernel	sparse	tracking with compressive sensing
Kernel subspace pursuit for	sparse	regression
Kernel tapering: A simple and effective approach to	sparse	kernels for image processing
Kernel-based	sparse	representation for gesture recognition
Key frame extraction from consumer videos using	sparse	representation
Keypoint matching and image registration using	sparse	representations
Kinect Depth Holes Filling by Similarity and Position Constrained	sparse	Representation
l0-based	sparse	hyperspectral unmixing using spectral information and a multi-objectives formulation
L0-norm based structural	sparse	least square regression for feature selection
L0-norm	sparse	representation based on modified genetic algorithm for face recognition
L0-Norm-Based	sparse	Representation Through Alternate Projections
L0-	sparse	Subspace Clustering
L1/2,1 group	sparse	regularization for compressive sensing
Label fusion method based on	sparse	patch representation for the brain MRI image segmentation
Label Noise Cleansing with	sparse	Graph for Hyperspectral Image Classification
Label transfer via	sparse	representation
Labeling Images by Integrating	sparse	Multiple Distance Learning and Semantic Context Modeling
Landmark-Based Shape Encoding and	sparse	-Dictionary Learning in the Continuous Domain
Landmark-based	sparse	color representations for color transfer
Lane Change Intent Analysis Using Robust Operators and	sparse	Bayesian Learning
Laplacian affine	sparse	coding with tilt and orientation consistency for image classification
Laplacian group	sparse	modeling of human actions
Laplacian	sparse	Coding, Hypergraph Laplacian Sparse Coding, and Applications
Laplacian	sparse	Coding, Hypergraph Laplacian Sparse Coding, and Applications
Large Scale Bayesian Inference And Experimental Design For	sparse	Linear Models
Large Scale Image Categorization in	sparse	Nonparametric Bayesian Representation
Large Scale Spectral Clustering Via Landmark-Based	sparse	Representation
Large tree diameter distribution modelling using	sparse	airborne laser scanning data in a subtropical forest in Nepal
Large-Scale Optimization Method Using a	sparse	Approximation of the Hessian for Magnetic Resonance Fingerprinting, A
Large-Scale	sparse	Learning From Noisy Tags for Semantic Segmentation
LargeKernel3D: Scaling up Kernels in 3D	sparse	CNNs
LASSI: A low-rank and adaptive	sparse	signal model for highly accelerated dynamic imaging
LASSO (L1) Regularization for Development of	sparse	Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools
Latency Driven Spatially	sparse	Optimization for Multi-Branch CNNs for Semantic Segmentation
Latent Dictionary Learning for	sparse	Representation Based Classification
Latent low-rank representation	sparse	regression model with symmetric constraint for unsupervised feature selection
Latent Relationship Guided Stacked	sparse	Autoencoder for Hyperspectral Imagery Classification
Latent Representation Learning Model for Multi-Band Images Fusion via Low-Rank and	sparse	Embedding
Latent semantic learning with structured	sparse	representation for human action recognition
Latent Space	sparse	Subspace Clustering
LDA based compact and discriminative dictionary learning for	sparse	coding
Learn	sparse	Dictionaries for Edit Propagation
LEARN: Learned Experts: Assessment-Based Reconstruction Network for	sparse	-Data CT
Learned Greedy Method (LGM): A novel neural architecture for	sparse	coding and beyond
Learned Multimodal Convolutional	sparse	Coding for Guided Image Super-Resolution
Learning a Context Aware Dictionary for	sparse	Representation
Learning a discriminative dictionary for	sparse	coding via label consistent K-SVD
Learning a discriminative	sparse	tri-value transform
Learning a mixture of	sparse	distance metrics for classification and dimensionality reduction
Learning a Nonnegative	sparse	Graph for Linear Regression
Learning a referenceless stereopair quality engine with deep nonnegativity constrained	sparse	autoencoder
Learning a	sparse	dictionary of video structure for activity modeling
Learning a	sparse	Representation for Object Detection
Learning a	sparse	Representation from Multiple Still Images for On-Line Face Recognition in an Unconstrained Environment
Learning A	sparse	Transformer Network for Effective Image Deraining
Learning a	sparse	, Corner-Based Representation for Time-varying Background Modeling
Learning Adaptive and	sparse	Representations of Medical Images
Learning Adaptive	sparse	Spatially-Regularized Correlation Filters for Visual Tracking
Learning an augmentation strategy for	sparse	datasets
Learning Asynchronous and	sparse	Human-Object Interaction in Videos
Learning Bayesian	sparse	Networks with Full Experience Replay for Continual Learning
Learning Blind Quality Evaluator for Stereoscopic Images Using Joint	sparse	Representation
Learning Collaborative	sparse	Representation for Grayscale-Thermal Tracking
Learning Common and Feature-Specific Patterns: A Novel Multiple-	sparse	-Representation-Based Tracker
Learning complex image patterns with Scale and Shift Invariant	sparse	Coding
Learning Component-Level	sparse	Representation for Image and Video Categorization
Learning component-level	sparse	representation using histogram information for image classification
Learning Compositional	sparse	Bimodal Models
Learning context-aware	sparse	representation for single image super-resolution
Learning Cross-Media Joint Representation With	sparse	and Semisupervised Regularization
Learning Deep	sparse	Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification
Learning dictionary via subspace segmentation for	sparse	representation
Learning Directional Local Pairwise Bases with	sparse	Coding
Learning discriminated and correlated patches for multi-view object detection using	sparse	coding
Learning Discriminative Dictionary for Group	sparse	Representation
Learning Discriminative	sparse	Representations for Modeling, Source Separation, and Mapping of Hyperspectral Imagery
Learning domain-shared group-	sparse	representation for unsupervised domain adaptation
Learning doubly	sparse	transforms for image representation
Learning Doubly	sparse	Transforms for Images
Learning Dynamic Interpolation for Extremely	sparse	Light Fields with Wide Baselines
Learning Efficient	sparse	and Low Rank Models
Learning Feature-	sparse	Principal Subspace
Learning from Incomplete Features by Simultaneous Training of Neural Networks and	sparse	Coding
Learning from	sparse	codes
Learning Global Brain Microstructure Maps Using Trainable	sparse	Encoders
Learning Group-Based	sparse	and Low-Rank Representation for Hyperspectral Image Classification
Learning image representations from the pixel level via hierarchical	sparse	coding
Learning interlaced	sparse	Sinkhorn matching network for video super-resolution
Learning invariant color features with	sparse	topographic restricted Boltzmann machines
Learning Joint Intensity-Depth	sparse	Representations
Learning Joint-	sparse	Codes for Calibration-Free Parallel MR Imaging
Learning Latent Low-Rank and	sparse	Embedding for Robust Image Feature Extraction
Learning Local Appearances With	sparse	Representation for Robust and Fast Visual Tracking
Learning Local Patch Orientation with a Cascade of	sparse	Regressors
Learning Low-Rank and	sparse	Discriminative Correlation Filters for Coarse-to-Fine Visual Object Tracking
Learning Low-Rank	sparse	Representations With Robust Relationship Inference for Image Memorability Prediction
Learning multi-scale	sparse	representation for visual tracking
Learning neighborhood cooccurrence statistics of	sparse	features for human activity recognition
Learning Non-Local Spatial Correlations To Restore	sparse	3D Single-Photon Data
Learning Non-Negative	sparse	Image Codes by Convex Programming
Learning Nonlocal	sparse	and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling
Learning Nonlocal	sparse	and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets	sparse	Coding
Learning Parseval Frames for	sparse	Representation with Frame Perspective
Learning pseudo-tags to augment	sparse	tagging in hybrid music recommender systems
Learning region	sparse	constraint correlation filter for tracking
Learning Robust Image-Based Rendering on	sparse	Scene Geometry via Depth Completion
Learning Semantic Correspondence with	sparse	Annotations
Learning shift-invariant	sparse	representation of actions
Learning Simple Thresholded Features With	sparse	Support Recovery
Learning skin distribution using a	sparse	map
Learning	sparse	and Discriminative Multimodal Feature Codes for Finger Recognition
Learning	sparse	and Identity-Preserved Hidden Attributes for Person Re-Identification
Learning	sparse	covariance patterns for natural scenes
Learning	sparse	CRFs for Feature Selection and Classification of Hyperspectral Imagery
Learning	sparse	deep neural networks using efficient structured projections on convex constraints for green AI
Learning	sparse	discriminant low-rank features for low-resolution face recognition
Learning	sparse	Face Features: Application to Face Verification
Learning	sparse	feature for eyeglasses problem in face recognition
Learning	sparse	features for classification by mixture models
Learning	sparse	Features in Granular Space for Multi-View Face Detection
Learning	sparse	Features On-Line for Image Classification
Learning	sparse	filter bank transforms with convolutional ICA
Learning	sparse	Filters in Deep Convolutional Neural Networks with a L1/l2 Pseudo-norm
Learning	sparse	FRAME Models for Natural Image Patterns
Learning	sparse	Geometric Features for Building Segmentation from Low-Resolution Remote-Sensing Images
Learning	sparse	Graphs for Prediction of Multivariate Data Processes
Learning	sparse	Graphs via Majorization-Minimization for Smooth Node Signals
Learning	sparse	High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
Learning	sparse	image representation with support vector regression for single-image super-resolution
Learning	sparse	Kernel Classifiers in the Primal
Learning	sparse	Masks for Diffusion-Based Image Inpainting
Learning	sparse	Multiple Cause Models
Learning	sparse	Neural Networks Through Mixture-Distributed Regularization
Learning	sparse	Prototypes for Crowd Perception via Ensemble Coding Mechanisms
Learning	sparse	Representation for No-Reference Quality Assessment of Multiply Distorted Stereoscopic Images
Learning	sparse	Representation for Objective Image Retargeting Quality Assessment
Learning	sparse	Representations for Human Action Recognition
Learning	sparse	tag patterns for social image classification
Learning	sparse	Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
Learning	sparse	, overcomplete representations of time-varying natural images
Learning Splines for	sparse	Tomographic Reconstruction
Learning structural conjunction of image content by	sparse	graphical model
Learning the discriminative dictionary for	sparse	representation by a general fisher regularized model
Learning the Set Graphs: Image-Set Classification Using	sparse	Graph Convolutional Networks
Learning Theory of Randomized	sparse	Kaczmarz Method
Learning to Detect Objects in Images via a	sparse	, Part-Based Representation
Learning to Distill Global Representation for	sparse	-View CT
Learning to Drive Using	sparse	Imitation Reinforcement Learning
Learning to predict crop type from heterogeneous	sparse	labels using meta-learning
Learning to Reconstruct and Understand Indoor Scenes From	sparse	Views
Learning to Sense	sparse	Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization
Learning Transferable	sparse	Representations for Cross-Corpus Facial Expression Recognition
Learning unified	sparse	representations for multi-modal data
Learning View-Invariant	sparse	Representations for Cross-View Action Recognition
Learning visual categories through a	sparse	representation classifier based cross-category knowledge transfer
Learning with Noisy Labels via	sparse	Regularization
Learning-Based Clutter Mitigation with Subspace Projection and	sparse	Representation in Holographic Subsurface Radar Imaging
Learning-Based Lossless Point Cloud Geometry Coding Using	sparse	Tensors
Least Angle Regression-Based Constrained	sparse	Unmixing of Hyperspectral Remote Sensing Imagery
Lensless Imaging with Focusing	sparse	Ura Masks in Long-wave Infrared and Its Application for Human Detection
Less is More: CLIPBERT for Video-and-Language Learning via	sparse	Sampling
LESS: A Model-Based Classifier for	sparse	Subspaces
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text	sparse	Retrieval
LGE-KSVD: Flexible Dictionary Learning for Optimized	sparse	Representation Classification
LGE-KSVD: Robust	sparse	Representation Classification
Lidar Waveform-Based Analysis of Depth Images Constructed Using	sparse	Single-Photon Data
Light Field Compression With Disparity-Guided	sparse	Coding Based on Structural Key Views
Light Field Compression With Graph Learning and Dictionary-Guided	sparse	Coding
Light Field Salient Object Detection With	sparse	Views via Complementary and Discriminative Interaction Network
Light Field Super-Resolution via LFBM5D	sparse	Coding
Lightweight Multi-person Total Motion Capture Using	sparse	Multi-view Cameras
Linear classifier combination and selection using group	sparse	regularization and hinge loss
Linear	sparse	feature based face detection in gray images
Linear spatial pyramid matching using	sparse	coding for image classification
linear subspace learning approach via	sparse	coding, A
Linearized kernel dictionary learning with group	sparse	priors for action recognition
LLP norm regularization based group	sparse	representation for image compressed sensing recovery
Local Block Multilayer	sparse	Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images
Local Constraint-Based	sparse	Manifold Hypergraph Learning for Dimensionality Reduction of Hyperspectral Image
Local discriminative based	sparse	subspace learning for feature selection
Local features and	sparse	representation for face recognition with partial occlusions
Local Features Applied to Dermoscopy Images: Bag-of-Features versus	sparse	Coding
Local features are not lonely: Laplacian	sparse	coding for image classification
Local intensity compensation using	sparse	representation
Local Manifold-Based	sparse	Discriminant Learning for Feature Extraction of Hyperspectral Image
Local Matrix Feature-Based Kernel Joint	sparse	Representation for Hyperspectral Image Classification
Local receptive field constrained stacked	sparse	autoencoder for classification of hyperspectral images
Local	sparse	appearance model with specific structural information in infrared pedestrian tracking
Local	sparse	Discriminant Analysis for Robust Face Recognition
Local	sparse	Representation Based Classification
Local	sparse	Structure Denoising for Low-Light-Level Image
Local Spectral Similarity Preserving Regularized Robust	sparse	Hyperspectral Unmixing
Local structure based	sparse	representation for face recognition with single sample per person
Local-	sparse	-Information-Aggregation Transformer with Explicit Contour Guidance for SAR Ship Detection, A
Locality Constrained	sparse	Representation for Cat Recognition
Locality Preserving Robust Regression for Jointly	sparse	Subspace Learning
Locality regularized group	sparse	coding for action recognition
Locality-Constrained Collaborative	sparse	Approximation for Multiple-Shot Person Re-identification
Locality-Constrained Group	sparse	Representation for Robust Face Recognition
Locality-constrained max-margin	sparse	coding
Locality-Constrained Multi-Task Joint	sparse	Representation for Image Classification
Locality-Constrained	sparse	Auto-Encoder for Image Classification
Locality-Constrained	sparse	Reconstruction for Trajectory Classification
Locality-sensitive dictionary learning for	sparse	representation based classification
Locality-sensitive kernel	sparse	representation classification for face recognition
Localization of eye Saccadic signatures in Electrooculograms using	sparse	representations with data driven dictionaries
Localization of More Sources Than Sensors via Jointly-	sparse	Bayesian Learning
Localization of Multi-pose and Occluded Facial Features via	sparse	Shape Representation
Localization of	sparse	image tampering via random projections
Localized Low-Rank Promoting for Recovery of Block-	sparse	Signals With Intrablock Correlation
Localized	sparse	Incomplete Multi-View Clustering
Locally Accumulated Adam For Distributed Training With	sparse	Updates
Locally Affine	sparse	-to-Dense Matching for Motion and Occlusion Estimation
Locally Competitive Algorithms for	sparse	Approximation
Locally Joint	sparse	Marginal Embedding for Feature Extraction
Locally Linear Embedded	sparse	Coding for Spectral Reconstruction From RGB Images
Log-Euclidean Kernels for	sparse	Representation and Dictionary Learning
Lonely but attractive:	sparse	color salient points for object retrieval and categorization
Long Short-Term Memory Network for	sparse	Spatiotemporal EEG Source Imaging, A
Long-term correlation tracking using multi-layer hybrid features in	sparse	and dense environments
Loose L1/2 regularised	sparse	representation for face recognition
Lossless digital image watermarking in	sparse	domain by using K-singular value decomposition algorithm
Lossy compression of lenslet images from plenoptic cameras combining	sparse	predictive coding and JPEG 2000
Lossy image coding in the pixel domain using a	sparse	steering kernel synthesis approach
Low Bit Rate Compression of Facial Images Based on Adaptive Over-Complete	sparse	Representation
Low Light Image Enhancement via	sparse	Representations
Low Memory Footprint Quantized Neural Network for Depth Completion of Very	sparse	Time-of-Flight Depth Maps, A
Low Rank and	sparse	Decomposition for Image and Video Applications
Low Rank and	sparse	Decomposition of Ultrasound Color Flow Images for Suppressing Clutter in Real-Time
Low rank and	sparse	matrix reconstruction with partial support knowledge for surveillance video processing
Low rank group	sparse	representation based classifier for pose variation
Low rank matrix completion using truncated nuclear norm and	sparse	regularizer
Low-Complexity Transceiver Design in	sparse	Multipath Massive MIMO Channels, A
Low-Cost System Using	sparse	Vision for Navigation In the Urban-Environment, A
Low-Rank and Adaptive	sparse	Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
Low-Rank and Joint	sparse	Representations for Multi-Modal Recognition
Low-Rank and	sparse	Decomposition Based Frame Difference Method for Small Infrared Target Detection in Coastal Surveillance
Low-Rank and	sparse	Decomposition on Contrast Map for Small Infrared Target Detection
Low-Rank and	sparse	Decomposition With Mixture of Gaussian for Hyperspectral Anomaly Detection
Low-rank and	sparse	matrix decomposition based on S1/2 and L1/2 regularizations in dynamic MRI
Low-rank and	sparse	matrix decomposition via the truncated nuclear norm and a sparse regularizer
Low-rank and	sparse	matrix decomposition via the truncated nuclear norm and a sparse regularizer
Low-Rank and	sparse	Matrix Decomposition with Cluster Weighting for Hyperspectral Anomaly Detection
Low-Rank and	sparse	Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection, A
Low-Rank and	sparse	Tensor Representation for Multi-View Subspace Clustering
Low-rank and structured	sparse	subspace clustering
Low-Rank Approach to Off-the-Grid	sparse	Superresolution, A
Low-rank constraint with	sparse	representation for image restoration under multiplicative noise
Low-Rank Group-	sparse	Model for Eliminating Mixed Errors in Data for SRTM1, A
Low-rank nonnegative	sparse	representation and local preservation-based matrix regression for supervised image feature selection
Low-Rank Plus	sparse	Tensor Models for Light-field Reconstruction from Focal Stack Data
Low-rank	sparse	coding and region of interest pooling for dynamic 3D facial expression recognition
Low-Rank	sparse	Coding for Image Classification
Low-Rank	sparse	Learning for Robust Visual Tracking
Low-Rank	sparse	Preserving Projections for Dimensionality Reduction
Low-rank	sparse	representation for single image super-resolution via self-similarity learning
Low-rank structured	sparse	representation and reduced dictionary learning-based abnormity detection
Low-rank,	sparse	matrix decomposition and group sparse coding for image classification
Low-rank,	sparse	matrix decomposition and group sparse coding for image classification
Low-Rank-	sparse	Subspace Representation for Robust Regression
Low-Tubal-Rank Plus	sparse	Tensor Recovery With Prior Subspace Information
Lower Order Description and Reconstruction of	sparse	Scanning Lidar Measurements of Wind Turbine Inflow Using Proper Orthogonal Decomposition
LSDT: Latent	sparse	Domain Transfer Learning for Visual Adaptation
Lst-net: Learning a Convolutional Neural Network with a Learnable	sparse	Transform
Luminance driven	sparse	representation based demosaicking
Luojia-1 Nightlight Image Registration Based on	sparse	Lights
L_0 TV: A	sparse	Optimization Method for Impulse Noise Image Restoration
L_0-Norm	sparse	Hyperspectral Unmixing Using Arctan Smoothing
L_0-overlapping group	sparse	total variation for impulse noise image restoration, An
L_1 Graph Based	sparse	Model for Label De-noising
L_1-Norm Regularization for Short-and-	sparse	Blind Deconvolution: Point Source Separability and Region Selection
L_2,1-norm-based	sparse	principle component analysis with trace norm regularised term
Machine Learning Based Channel Estimation for 5G NR-V2V Communications:	sparse	Bayesian Learning and Gaussian Progress Regression
Manifold Based Face Synthesis from	sparse	Samples
Manifold based	sparse	representation for facial understanding in natural images
Manifold based	sparse	Representation for robust expression recognition without neutral subtraction
Manifold Kernel	sparse	Representation of Symmetric Positive-Definite Matrices and Its Applications
Manifold Learning via Linear Tangent Space Alignment (LTSA) for Accelerated Dynamic MRI With	sparse	Sampling
Manifold Regularized Local	sparse	Representation for Face Recognition
Manifold Regularized	sparse	NMF for Hyperspectral Unmixing
Manifold surface reconstruction of an environment from	sparse	Structure-from-Motion data
Manifold-Based	sparse	Representation for Hyperspectral Image Classification
Manifold-constrained coding and	sparse	representation for human action recognition
Many-Lights Real Time Global Illumination Using	sparse	Voxel Octree
Map Matching for	sparse	Automatic Vehicle Identification Data
Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling	sparse	Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products
Mapping of	sparse	3d Data Using Alternating Projection
MapReduce framework based big data clustering using fractional integrated	sparse	fuzzy C means algorithm
Margin-based discriminant embedding guided	sparse	matrix regression for image supervised feature selection
MASC-Net: Multi-scale Anisotropic	sparse	Convolutional Network for Sparse Depth Densification
MASC-Net: Multi-scale Anisotropic	sparse	Convolutional Network for Sparse Depth Densification
Mask	sparse	Representation Based on Semantic Features for Thermal Infrared Target Tracking
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and	sparse	Network
Matched-Filter and Correlation-Based Imaging for Fast Moving Objects Using a	sparse	Network of Receivers
Matching Trajectories between Video Sequences by Exploiting a	sparse	Projective Invariant Representation
Materials Classification Using	sparse	Gray-Scale Bidirectional Reflectance Measurements
Matrix completion by least-square, low-rank, and	sparse	self-representations
Matrix Completion for Downward-Looking 3-D SAR Imaging With a Random	sparse	Linear Array
Max-Margin Perspective on	sparse	Representation-Based Classification, A
Maximum Correntropy Criterion-Based	sparse	Subspace Learning for Unsupervised Feature Selection
Maximum mean discrepancy regularized	sparse	reconstruction for robust salient regions detection
Maximum Phase Modeling for	sparse	Linear Prediction of Speech
MCMC Data Association and	sparse	Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements
Mean-Shift and	sparse	Sampling-Based SMC-PHD Filtering for Audio Informed Visual Speaker Tracking
Mechanics-Based Nonrigid Registration Method for Liver Surgery Using	sparse	Intraoperative Data, A
Medical image reconstruction from	sparse	samples using Simultaneous Perturbation Stochastic Optimization
Medical images stabilization using	sparse	-induced similarity measure
Membership representation for detecting block-diagonal structure in low-rank or	sparse	subspace clustering
Mesh Modelling for	sparse	Image Data Sets
Mesh-free	sparse	representation of multidimensional LiDAR data
MeshNet-SP: A Semantic Urban 3D Mesh Segmentation Network with	sparse	Prior
Message Passing Based Block	sparse	Signal Recovery for DOA Estimation Using Large Arrays
Meta-Parameter Free Unsupervised	sparse	Feature Learning
Metaface Learning for	sparse	Representation Based Face Recognition
MetaInv-Net: Meta Inversion Network for	sparse	View CT Image Reconstruction
Method based on bitonic filtering decomposition and	sparse	representation for fusion of infrared and visible images
Method for Compact Image Representation Using	sparse	Matrix and Tensor Projections Onto Exemplar Orthonormal Bases, A
Method for Detecting Feature-	sparse	Regions and Matching Enhancement, A
Method for Digital Terrain Reconstruction Using Longitudinal Control Lines and	sparse	Measured Cross Sections, A
Method for Finding Structured	sparse	Solutions to Nonnegative Least Squares Problems with Applications, A
method for	sparse	disparity densification using voting mask propagation, A
method of visibility forecast based on hierarchical	sparse	representation, A
Methods of Sandy Land Detection in a	sparse	-Vegetation Scene Based on the Fusion of HJ-2A Hyperspectral and GF-3 SAR Data
Micro-Doppler Effects Removed	sparse	Aperture ISAR Imaging via Low-Rank and Double Sparsity Constrained ADMM and Linearized ADMM
Micro-Expression Recognition by Regression Model and Group	sparse	Spatio-Temporal Feature Learning
Microaneurysm (MA) Detection via	sparse	Representation Classifier with MA and Non-MA Dictionary Learning
Microstructure analysis of silk samples using mueller matrix determination and	sparse	representation
Millimeter-Wave Imaging With Optimized	sparse	Periodic Array for Short-Range Applications
MIMO Radar Imaging With Nonorthogonal Waveforms Based on Joint-Block	sparse	Recovery
MIMO Radar	sparse	Recovery Imaging with Wideband Interference Prediction
Minimally Invasive Surgery for	sparse	Neural Networks in Contrastive Manner
Minimizing dataset bias: Discriminative multi-task	sparse	coding through shared subspace learning for image classification
Minimizing	sparse	higher order energy functions of discrete variables
Minkowski-Algebra-Based Super-	sparse	Array Design for Super-Resolution Ultrasound Imaging
Missing Image Data Reconstruction Based on Adaptive Inverse Projection via	sparse	Representation
Missing Low-Rank and	sparse	Decomposition Based on Smoothed Nuclear Norm
Mixed Noise Removal by Weighted Encoding With	sparse	Nonlocal Regularization
Mixed-norm	sparse	representation for multi view face recognition
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from	sparse	Inputs
MobileViG: Graph-Based	sparse	Attention for Mobile Vision Applications
Modal Activity-Based Stochastic Model for Estimating Vehicle Trajectories from	sparse	Mobile Sensor Data
Modality-correlation-aware	sparse	representation for RGB-infrared object tracking
Model based variational Bayesian compressive sensing using heavy tailed	sparse	prior
Model driven reconstruction of roofs from	sparse	LIDAR point clouds
Model-based 3D human motion tracking and voxel reconstruction from	sparse	views
Model-based co-clustering for the effective handling of	sparse	data
Model-Based Edge Detector for Spectral Imagery Using	sparse	Spatiospectral Masks
Model-Based Recognition and Localization from	sparse	Range Data
Model-Based Recognition and Localization from	sparse	Range or Tactile Data
Model-Based Transfer Learning and	sparse	Coding for Partial Face Recognition
Modeling and Classifying Hyperspectral Imagery by CRFs With	sparse	Higher Order Potentials
Modeling and recognizing action contexts in persons using	sparse	representation
Modeling Point Spread Function in Fluorescence Microscopy With a	sparse	Gaussian Mixture: Tradeoff Between Accuracy and Efficiency
Modular Weighted Global	sparse	Representation for Robust Face Recognition
Moire Pattern Removal from Texture Images via Low-Rank and	sparse	Matrix Decomposition
Monocular 3D facial shape reconstruction from a single 2D image with coupled-dictionary learning and	sparse	coding
Monocular 3D human pose estimation using	sparse	motion features
Monotone operator splitting for optimization problems in	sparse	recovery
MoreauGrad:	sparse	and Robust Interpretation of Neural Networks via Moreau Envelope
Mosaic construction from a	sparse	set of views
Motion Compensation for Airborne SAR via Parametric	sparse	Representation
Motion Estimation in Echocardiography Using	sparse	Representation and Dictionary Learning
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using	sparse	Point Features
MotionDeltaCNN:	sparse	CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions
Movie dimensionalization via	sparse	user annotations
Moving Object Detection in Complex Scene Using Spatiotemporal Structured-	sparse	RPCA
Moving Object Detection in Time-Lapse or Motion Trigger Image Sequences Using Low-Rank and Invariant	sparse	Decomposition
Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant	sparse	Decomposition
Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-	sparse	Decomposition
Moving target inverse synthetic aperture radar image resolution enhancement based on two-dimensional block	sparse	signal reconstruction
Moving Target's HRRP Synthesis With	sparse	Frequency-Stepped Chirp Signal via Atomic Norm Minimization
MS2DG-Net: Progressive Correspondence Learning via Multiple	sparse	Semantics Dynamic Graph
MsSVT++: Mixed-Scale	sparse	Voxel Transformer With Center Voting for 3D Object Detection
MTRC-Tolerated Multi-Target Imaging Based on 3D Hough Transform and Non-Equal Sampling	sparse	Solution
Multi-attribute	sparse	representation with group constraints for face recognition under different variations
Multi-attributed Dictionary Learning for	sparse	Coding
Multi-baseline SAR 3D reconstruction of vehicle from very	sparse	aspects: A generative adversarial network based approach
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View	sparse	Representation
Multi-classification of Parkinson's Disease via	sparse	Low-Rank Learning
Multi-Cue Illumination Estimation via a Tree-Structured Group Joint	sparse	Representation
Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint	sparse	Representation
Multi-Delay	sparse	Approach to Residual Crosstalk Reduction for Blind Source Separation
Multi-dimensional low rank plus	sparse	decomposition for reconstruction of under-sampled dynamic MRI
Multi-Dimensional Pruned	sparse	Convolution for Efficient 3D Object Detection
Multi-Dimensional	sparse	Models
Multi-Feature Joint	sparse	Model for the Classification of Mangrove Remote Sensing Images
Multi-feature	sparse	similar representation for person identification
Multi-Feature Weighted	sparse	Graph for SAR Image Analysis
Multi-focus image fusion based on joint	sparse	representation and optimum theory
Multi-focus image fusion based on multi-scale	sparse	representation
Multi-focus image fusion based on non-negative	sparse	representation and patch-level consistency rectification
Multi-focus image fusion evaluation based on jointly	sparse	representation and atom focus measure
multi-focus image fusion method based on multi-source joint layering and convolutional	sparse	representation, A
Multi-focus image fusion via Joint convolutional analysis and synthesis	sparse	representation
Multi-focus image fusion with Geometrical	sparse	Representation
Multi-frame	sparse	aperture image restoration based on movable array
Multi-Frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained	sparse	Bayesian Learning
Multi-Frequency Field Perception and	sparse	Progressive Network for low-light image enhancement
Multi-Frequency Polarimetric SAR Classification Based on Riemannian Manifold and Simultaneous	sparse	Representation
Multi-human tracking from	sparse	detection responses
Multi-illumination Face Recognition from a Single Training Image per Person with	sparse	Representation
Multi-image Blind Deblurring Using a Coupled Adaptive	sparse	Prior
Multi-instance Feature Learning Based on	sparse	Representation for Facial Expression Recognition
Multi-instance multi-label learning of natural scene images: via	sparse	coding and multi-layer neural network
Multi-kernel	sparse	subspace clustering on the Riemannian manifold of symmetric positive definite matrices
Multi-label Classification for Image Annotation via	sparse	Similarity Voting
Multi-label feature selection via robust flexible	sparse	regularization
Multi-Label Image Categorization With	sparse	Factor Representation
Multi-label	sparse	coding for automatic image annotation
Multi-Label Transfer Learning With	sparse	Representation
Multi-layer group	sparse	coding: For concurrent image classification and annotation
Multi-Level Cascade	sparse	Representation Learning for Small Data Classification
Multi-modal data fusion using group-structured	sparse	canonical correlation analysis: A simulation study
Multi-Modal	sparse	Coding Classifier Using Dictionaries with Different Number of Atoms, A
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized	sparse	Dictionary Learning
Multi-Objective	sparse	Subspace Clustering for Hyperspectral Imagery
Multi-Observation Blind Deconvolution with an Adaptive	sparse	Prior
Multi-observation visual recognition via joint dynamic	sparse	representation
Multi-part	sparse	representation in random crowded scenes tracking
Multi-patch deep	sparse	histograms for iris recognition in visible spectrum using collaborative subspace for robust verification
Multi-person tracking from	sparse	3D trajectories in a camera sensor network
Multi-Person Tracking with	sparse	Detection and Continuous Segmentation
Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance	sparse	Coding and Its Application to Sensitive Video Recognition
multi-phase	sparse	probability framework via entropy minimization for single sample face recognition, A
Multi-Pose 3D Face Recognition Based on 2D	sparse	Representation
Multi-resolutive	sparse	approximations of d-dimensional data
Multi-scale deep feature fusion based	sparse	dictionary selection for video summarization
Multi-scale Direct	sparse	Visual Odometry for Large-Scale Natural Environment
Multi-Scale Evaluation of the SMAP Product Using	sparse	In-Situ Network over a High Mountainous Watershed, Northwest China
Multi-scale patch-based	sparse	appearance model for robust object tracking
Multi-Scale	sparse	Graph Convolutional Network For the Assessment of Parkinsonian Gait
Multi-shot SURF-based person re-identification via	sparse	representation
Multi-spectral demosaicing: A joint-	sparse	elastic-net formulation
Multi-Target CFAR Detection Method for HF Over-The-Horizon Radar Based on Target	sparse	Constraint in Weibull Clutter Background
Multi-target Data Association Using	sparse	Reconstruction
Multi-target Tracking with	sparse	Group Features and Position Using Discrete-Continuous Optimization
Multi-Task Joint	sparse	and Low-Rank Representation for the Scene Classification of High-Resolution Remote Sensing Image
Multi-task Learning via Non-	sparse	Multiple Kernel Learning
Multi-Task low-rank and	sparse	matrix recovery for human motion segmentation
Multi-task	sparse	Learning with Beta Process Prior for Action Recognition
Multi-Tissue Decomposition of Diffusion MRI Signals via L_0	sparse	-Group Estimation
Multi-view face recognition via joint dynamic	sparse	representation
Multi-view Facial Expression Recognition Analysis with Generic	sparse	Coding Feature
Multi-View Facial Expression Recognition Based on Group	sparse	Reduced-Rank Regression
Multi-view Gait recognition using	sparse	representation
Multi-view image inpainting with	sparse	representations
Multi-view low-rank	sparse	subspace clustering
Multi-View Multi-Instance Learning Based on Joint	sparse	Representation and Multi-View Dictionary Learning
Multi-View Surveillance Video Summarization via Joint Embedding and	sparse	Optimization
Multi-view wide baseline depth estimation robust to	sparse	input sampling
Multi-Way Compressed Sensing for	sparse	Low-Rank Tensors
Multiattribute	sparse	Coding Approach for Action Recognition From a Single Unknown Viewpoint, A
Multichannel Image Completion With Mixture Noise: Adaptive	sparse	Low-Rank Tensor Subspace Meets Nonlocal Self-Similarity
Multiclass feature learning for hyperspectral image classification:	sparse	and hierarchical solutions
Multiclass Object Recognition with	sparse	, Localized Features
Multiclass-SGCN:	sparse	Graph-Based Trajectory Prediction with Agent Class Embedding
Multiframe Super-Resolution Reconstruction Using	sparse	Directional Regularization
Multilayer Projective Dictionary Pair Learning and	sparse	Autoencoder for PolSAR Image Classification
Multilinear	sparse	Decomposition for Best Spectral Bands Selection
Multimodal Deep	sparse	Subspace Clustering for Multiple Stimuli-based Cognitive task
Multimodal image fusion via	sparse	representation with local patch dictionaries
Multimodal medical image fusion using L0 gradient smoothing with	sparse	representation
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured	sparse	Learning
Multimodal sensor medical image fusion based on mutual-structure for joint filtering using	sparse	representation
Multimodal	sparse	representation classification with Fisher discriminative sample reduction
Multimodal Target Detection by	sparse	Coding: Application to Paint Loss Detection in Paintings
Multinomial classification with class-conditional overlapping	sparse	feature groups
Multiobjective	sparse	Non-Negative Matrix Factorization
Multiobjective	sparse	Subpixel Mapping for Remote Sensing Imagery
Multiobjective-Based	sparse	Representation Classifier for Hyperspectral Imagery Using Limited Samples
Multipath Mitigation for GNSS Positioning in an Urban Environment Using	sparse	Estimation
Multipath	sparse	Coding Using Hierarchical Matching Pursuit
Multipitch Estimation of Piano Music by Exemplar-Based	sparse	Representation
Multiple clusters parts-based	sparse	representation for single example face identification
Multiple Feature Kernel	sparse	Representation Classifier for Hyperspectral Imagery
Multiple instance learning tracking method with local	sparse	representation
Multiple Kernel Learning for	sparse	Representation-Based Classification
Multiple Kernel	sparse	Representation for Airborne LiDAR Data Classification
Multiple Kernel	sparse	Representation-Based Orthogonal Discriminative Projection and Its Cost-Sensitive Extension
Multiple Kernel	sparse	Representations for Supervised and Unsupervised Learning
Multiple Learned Dictionaries Based Clustered	sparse	Coding for the Super-Resolution of Single Text Image
Multiple Model Estimation for the Detection of Curvilinear Segments in Medical X-ray Images Using	sparse	-plus-dense-RANSAC
Multiple object tracking based on	sparse	generative appearance modeling
Multiple pattern classification by	sparse	subspace decomposition
Multiple representations and	sparse	representation for image classification
Multiple	sparse	priors technique with optimized patches for brain source localization
Multiplicative Noise Removal via Nonlocal Similarity-Based	sparse	Representation
Multipolar Acoustic Source Reconstruction From	sparse	Far-Field Data Using ALOHA
Multipolarization Through-Wall Radar Imaging Using Low-Rank and Jointly-	sparse	Representations
multiscale competitive code via	sparse	representation for palmprint verification, The
Multiscale Hierarchical Model for	sparse	Hyperspectral Unmixing, A
Multiscale	sparse	Image Representation with Learned Dictionaries
Multiscale	sparse	representation of high-resolution computed tomography (HRCT) lung images for diffuse lung disease classification
Multiscale Superpixel-Based	sparse	Representation for Hyperspectral Image Classification
Multiscale Union Regions Adaptive	sparse	Representation for Hyperspectral Image Classification
Multisnapshot	sparse	Bayesian Learning for DOA
Multisource Geospatial Data Fusion via Local Joint	sparse	Representation
Multispectral and Hyperspectral Image Fusion Based on Joint-Structured	sparse	Block-Term Tensor Decomposition
Multispectral and SAR Image Fusion Based on Laplacian Pyramid and	sparse	Representation
Multispectral Image Denoising via Nonlocal Multitask	sparse	Learning
Multispectral Image Restoration via Inter- and Intra-Block	sparse	Estimation Based on Physically-Induced Joint Spatiospectral Structures
Multispectral Interlaced	sparse	Sampling Photoacoustic Tomography
Multispectral palmprint matching based on joint	sparse	representation
Multitask multivariate common	sparse	representations for robust multimodal biometrics recognition
Multitask	sparse	Nonnegative Matrix Factorization for Joint Spectral-Spatial Hyperspectral Imagery Denoising
Multitemporal image change detection with compressed	sparse	representation
Multivariate statistical modeling of images in	sparse	multiscale transforms domain
Multiview Automatic Target Recognition for Infrared Imagery Using Collaborative	sparse	Priors
Multiview Gait Recognition Based on Patch Distribution Features and Uncorrelated Multilinear	sparse	Local Discriminant Canonical Correlation Analysis
Multiview Hessian discriminative	sparse	coding for image annotation
Multiview Hessian Semisupervised	sparse	Feature Selection for Multimedia Analysis
Multiview Joint	sparse	Representation with Discriminative Dictionary for Melanoma Detection, A
Multiview Jointly	sparse	Discriminant Common Subspace Learning
Music Annotation and Retrieval using Unlabeled Exemplars: Correlation and	sparse	Codes
MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative	sparse	Regression
Natural Image Denoising Using	sparse	ICA Based on 2-D Gabor Wavelet
Navigation and Mapping in Forest Environment Using	sparse	Point Clouds
Near Relation-Based Indoor Positioning Method under	sparse	Wi-Fi Fingerprints
Near-Field 3D	sparse	SAR Direct Imaging with Irregular Samples
NeeDrop: Self-supervised Shape Representation from	sparse	Point Clouds using Needle Dropping
NELasso: Group-	sparse	Modeling for Characterizing Relations Among Named Entities in News Articles
NeO 360: Neural Fields for	sparse	View Synthesis of Outdoor Scenes
Nesta: A Fast And Accurate First-Order Method For	sparse	Recovery
Nested	sparse	Quantization for Efficient Feature Coding
NestedNet: Learning Nested	sparse	Structures in Deep Neural Networks
Network-based	sparse	Bayesian classification
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D	sparse	Cardiac Magnetic Resonance Imaging
Neural Image Compression Using Masked	sparse	Visual Representation
Neural Network Panning: Screening the Optimal	sparse	Network Before Training
Neural Radiance Fields From	sparse	RGB-D Images for High-Quality View Synthesis
Neuro-Inspired Deep Neural Networks with	sparse	, Strong Activations
New Accurate Image Denoising Method Based on	sparse	Coding Coefficients, A
New Approach for Symbol Recognition Combining Shape Context of Interest Points with	sparse	Representation
New Approach to Construct Virtual Array With Increased Degrees of Freedom for Moving	sparse	Arrays, A
new approach to image	sparse	decomposition based on MP, A
New Approach to	sparse	Image Representation Using MMV and K-SVD, A
New bounds on image denoising: Viewpoint of	sparse	representation and non-local averaging
New Contour Cue-Based Hybrid	sparse	Learning for Salient Object Detection
New fusional framework combining	sparse	selection and clustering for key frame extraction
new linearly constrained minimum variance beamformer for reconstructing EEG	sparse	sources, A
New method for	sparse	point-sets matching with underlying non-rigidity
New non-negative	sparse	feature learning approach for content-based image retrieval
New Optimization Approach to	sparse	Reconstruction of Log-Conductivity in Acousto-Electric Tomography, A
New Point Matching Algorithm Using	sparse	Representation of Image Patch Feature for SAR Image Registration
New Sammon Algorithm for	sparse	Data Visualization, A
New Sample Consensus Based on	sparse	Coding for Improved Matching of SIFT Features on Remote Sensing Images, A
New SAR Interferogram denoising method via	sparse	recovery based on L0 norm
New semi-supervised classification using a multi-modal feature joint L21-norm based	sparse	representation
New	sparse	Blind Source Separation Method for Determined Linear Convolutive Mixtures in Time-frequency Domain, A
New	sparse	LSSVM Method Based the Revised LARS, A
New	sparse	Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans, A
new	sparse	representation learning of complex data: Application to dynamic clustering of web navigation, A
new	sparse	representation-based object segmentation framework, A
New	sparse	Source Separation-Based Classification Approach, A
New	sparse	Subspace Clustering by Rotated Orthogonal Matching Pursuit, A
New Sufficient Condition for Non-Convex	sparse	Recovery via Weighted L_r-L_1 Minimization, A
Night Removal by Color Estimation and	sparse	representation
NLOS Mitigation in	sparse	Anchor Environments with the Misclosure Check Algorithm
NMF with	sparse	Regularizations in Transformed Domains
No-Reference Light Field Image Quality Assessment Using Four-Dimensional	sparse	Transform
Noise Removal From Hyperspectral Image With Joint Spectral-Spatial Distributed	sparse	Representation
Noise Robust Face Image Super-Resolution Through Smooth	sparse	Representation
Noise-robust semi-supervised learning via fast	sparse	coding
Non-Convex Optimization For	sparse	Interferometric Phase Estimation
non-convex relaxation approach to	sparse	dictionary learning, A
Non-convex	sparse	optimization through deterministic annealing and applications
Non-dictionary Aided	sparse	Unmixing of Hyperspectral Images via Weighted Nonnegative Matrix Factorization
non-local Chan-Vese model for	sparse	, tubular object segmentation, A
Non-local	sparse	Model for Intrinsic Images, A
Non-local	sparse	models for image restoration
Non-local	sparse	models for SAR image despeckling
Non-local	sparse	representation for hyperspectral image super-resolution
Non-negative and	sparse	spectral clustering
Non-Negative Low Rank and	sparse	Graph for Semi-Supervised Learning
Non-negative low-rank adaptive preserving	sparse	matrix regression model for supervised image feature selection and classification
Non-negative Low-Rank and Group-	sparse	Matrix Factorization
Non-negative	sparse	coding for human action recognition
Non-negative	sparse	coding shrinkage for image denoising using normal inverse Gaussian density model
Non-negative	sparse	Coding with Regularizer for Image Classification
Non-negative	sparse	Modeling of Textures
Non-negative	sparse	Semantic Coding for text categorization
Non-negativity and dependence constrained	sparse	coding for image classification
Non-parametric image transforms for	sparse	disparity maps
Non-rigid Segmentation Using	sparse	Low Dimensional Manifolds and Deep Belief Networks
NON-rigid structure from motion via	sparse	self-expressive representation
Non-	sparse	linear representations for visual tracking with online reservoir metric learning
Nonambiguous SAR Image Formation of Maritime Targets Using Weighted	sparse	Approach
Nonconvex compressive sensing and reconstruction of gradient-	sparse	images: Random vs. tomographic Fourier sampling
Nonconvex	sparse	regularizer based speckle noise removal
Nonconvex Weighted L_p Minimization Based Group	sparse	Representation Framework for Image Denoising
Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient	sparse	in Frequency Domain: Application to Mapping Reentrant Ventricular Tachycardia
Noniterative MAP Reconstruction Using	sparse	Matrix Representations
Nonlinear approximation based image recovery using adaptive	sparse	reconstructions
Nonlinear Approximation Based Image Recovery Using Adaptive	sparse	Reconstructions and Iterated Denoising-Part I: Theory
Nonlinear Approximation Based Image Recovery Using Adaptive	sparse	Reconstructions and Iterated Denoising-Part II: Adaptive Algorithms
Nonlinear	sparse	Hashing
Nonlocal Elastica Model for	sparse	Reconstruction
Nonlocal Means Regularized Sketched Reweighted	sparse	and Low-Rank Subspace Clustering for Large Hyperspectral Images
Nonlocal Patch Tensor	sparse	Representation for Hyperspectral Image Super-Resolution
Nonlocal	sparse	and Low-Rank Regularization for Optical Flow Estimation
Nonlocal	sparse	Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion
Nonlocal Tensor	sparse	Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction
Nonlocal Tensor-Based	sparse	Hyperspectral Unmixing
Nonlocally Centralized	sparse	Representation for Image Restoration
Nonnegative and Nonlocal	sparse	Tensor Factorization-Based Hyperspectral Image Super-Resolution
Nonnegative matrix factorization with endmember	sparse	graph learning for hyperspectral unmixing
Nonnegative	sparse	and Collaborative Method for Hyperspectral Target Detection, A
Nonnegative	sparse	Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and L_1 Minimization
Nonnegative	sparse	coding for discriminative semi-supervised learning
Nonnegative	sparse	PCA
Nonparametric blind SAR image super resolution based on combination of the compressive sensing and	sparse	priors
Nonparametric kernel	sparse	representation-based classifier
Nonparametric	sparse	Matrix Decomposition for Cross-View Dimensionality Reduction
Nonrigid Registration of Remote Sensing Images via	sparse	and Dense Feature Matching
Nonrigid Structure From Motion via	sparse	Representation
Nonuniform sampling, image recovery from	sparse	data and the discrete sampling theorem
NOPE-SAC: Neural One-Plane RANSAC for	sparse	-View Planar 3D Reconstruction
Normalized Non-Negative	sparse	Encoder for Fast Image Representation
Note on Compressed Sensing of Structured	sparse	Wavelet Coefficients From Subsampled Fourier Measurements, A
novel 3D ear identification approach based on	sparse	representation, A
Novel Anti-Drift Visual Object Tracking Algorithm Based on	sparse	Response and Adaptive Spatial-Temporal Context-Aware, A
novel approach to	sparse	histogram image lossless compression using JPEG2000, A
novel cumulative distortion metric and a no-reference	sparse	prediction model for packet prioritization in encoded video transmission, A
novel distributed compressive video sensing based on hybrid	sparse	basis, A
novel double-layer	sparse	representation approach for unsupervised dictionary learning, A
Novel Fast	sparse	Bayesian Learning STAP Algorithm for Conformal Array Radar, A
novel image tag saliency ranking algorithm based on	sparse	representation, A
Novel Key-Point Detector Based on	sparse	Coding, A
Novel Learning Dictionary for	sparse	Coding-Based Key Point Detection, A
Novel Magnification-Robust Network with	sparse	Self-Attention for Micro-Expression Recognition, A
novel multi-branch wavelet neural network for	sparse	representation based object classification, A
novel multi-focus image fusion method based on joint regularization optimization layering and	sparse	representation, A
novel multimodal medical image fusion using	sparse	representation and modified spatial frequency, A
Novel Multiple	sparse	Source Localization Using Triangular Pyramid Microphone Array, A
Novel	sparse	Array Design Based on the Maximum Inter-Element Spacing Criterion
Novel	sparse	Bayesian Space-Time Adaptive Processing Algorithm to Mitigate Off-Grid Effects, A
Novel	sparse	Method for Despeckling SAR Images, A
novel	sparse	model based forensic writer identification, A
Novel Speech Emotion Recognition Method via Incomplete	sparse	Least Square Regression, A
Novel Transferable	sparse	Regression Method for Cross-Database Facial Expression Recognition, A
novel variety-based 3DTV content generation scheme for casually captured	sparse	photo collections, A
Novel Vehicle Reversing Speed Control Based on Obstacle Detection and	sparse	Representation, A
Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from	sparse	Views
Nuclear Norm Regularized	sparse	Coding
Object categorization via	sparse	representation of local features
Object Class Recognition and Localization Using	sparse	Features with Limited Receptive Fields
Object classification with efficient global self-similarity descriptors based on	sparse	representations
Object co-detection via low-rank and	sparse	representation dictionary learning
Object Detection in Cluttered Environments with	sparse	Keypoint Selection
Object Detection in Low-Resolution Image via	sparse	Representation
Object Extraction from Bounding Box Prior with Double	sparse	Reconstruction
Object Indexing Using an Iconic	sparse	Distributed Memory
Object Recognition in Baggage Inspection Using Adaptive	sparse	Representations of X-ray Images
Object tracking based on incremental Bi-2DPCA learning with	sparse	structure
Object tracking based on local dynamic	sparse	model
Object Tracking by Occlusion Detection via Structured	sparse	Learning
Object tracking using discriminative	sparse	appearance model
Object tracking via appearance modeling and	sparse	representation
Object Tracking via Pixel-Wise and Block-Wise	sparse	Representation
Object Tracking via Robust Multitask	sparse	Representation
Object Tracking with Classification Score Weighted Histogram of	sparse	Codes
Object tracking with	sparse	representation and annealed particle filter
Object verification in two views using	sparse	representation
object-dependent hand pose prior from	sparse	training data, An
Object-Oriented Visual Saliency Detection Framework Based on	sparse	Coding Representations, An
Oblivious Cocktail Watermarking by	sparse	Code Shrinkage: A Regional- and Global-based Scheme
Observation quality guaranteed layout of camera networks via	sparse	representation
Occlusion Handling with L1-Regularized	sparse	Reconstruction
Occlusion-Aware Depth Estimation Using	sparse	Light Field Coding
Off-Grid Compressive Sensing Algorithm Based on	sparse	Bayesian Learning for RFPA Radar, An
Off-Grid DOA Estimation for Noncircular Signals via Block	sparse	Representation Using Extended Transformed Nested Array
Omega-KA-Net: A SAR Ground Moving Target Imaging Network Based on Trainable Omega-K Algorithm and	sparse	Optimization
Omni-gradient-based total variation minimisation for	sparse	reconstruction of omni-directional image
On Compressing Deep Models by Low Rank and	sparse	Decomposition
On Constrained	sparse	Matrix Factorization
On Gleaning Knowledge From Cross Domains by	sparse	Subspace Correlation Analysis for Hyperspectral Image Classification
On growth and formlets:	sparse	multi-scale coding of planar shape
On Landscape of Nonconvex Regularized Least Squares for	sparse	Support Recovery
On Reconstructing Curved Object Boundaries from	sparse	Sets of X-Ray Images
On robust face recognition via	sparse	coding: The good, the bad and the ugly
On	sparse	representations of color images
On	sparse	Signal Representations
On Surface Reconstruction Using	sparse	Depth Data
On the 2D Beampattern Optimization of	sparse	Group-Constrained Robust Capon Beamforming with Conformal Arrays
On the Application of Structured	sparse	Model Selection to JPEG Compressed Images
On the Dimensionality Reduction for	sparse	Representation Based Face Recognition
On the Efficient Implementation of	sparse	Bayesian Learning-Based STAP Algorithms
On the exact recovery conditions of 3D human motion from 2D landmark motion with	sparse	articulated motion
On the Global Geometry of Sphere-Constrained	sparse	Blind Deconvolution
On the Identifiability of	sparse	Vectors From Modulo Compressed Sensing Measurements
On the Observability of a Linear System With a	sparse	Initial State
On the reconstruction of sequences of	sparse	signals: The Weighted-CS
On the Reconstruction of Wavelet-	sparse	Signals From Partial Fourier Information
On the Role of	sparse	and Redundant Representations in Image Processing
On the Use of Global Flood Forecasts and Satellite-Derived Inundation Maps for Flood Monitoring in Data-	sparse	Regions
On the use of joint	sparse	representation for image fusion quality evaluation and analysis
On Variational Block	sparse	Recovery With Unknown Partition and L_0-Norm Constraint
On video based face recognition through adaptive	sparse	dictionary
One-Dimensional Deep Low-Rank and	sparse	Network for Accelerated MRI
One-Shot Learning of Sketch Categories with Co-regularized	sparse	Coding
Online adaptive dictionary learning and weighted	sparse	coding for abnormality detection
Online Change-Point Detection in	sparse	Time Series With Application to Online Advertising
Online detection of unusual events in videos via dynamic	sparse	coding
Online discriminative object tracking with local	sparse	representation
Online Estimation and Prediction of Large-Scale Network Traffic From	sparse	Probe Vehicle Data
Online failure detection and correction for Bayesian	sparse	feature-based object tracking
Online Map-Matching of Noisy and	sparse	Location Data With Hidden Markov and Route Choice Models
Online multi-modal task-driven dictionary learning and robust joint	sparse	representation for visual tracking
Online multi-object tracking based on hierarchical association and	sparse	representation
Online multi-person tracking based on global	sparse	collaborative representations
Online Object Tracking With	sparse	Prototypes
online preprocessing technique for improving the lossless compression of images with	sparse	histograms, An
Online Semi-Supervised Discriminative Dictionary Learning for	sparse	Representation
Online Signature Verification Based on DCT and	sparse	Representation
Online Space-Variant Background Modeling With	sparse	Coding
Online	sparse	DOA Estimation Based on Sub-Aperture Recursive LASSO for TDM-MIMO Radar
Online	sparse	Gaussian Process Regression and Its Applications
Online	sparse	learning utilizing multi-feature combination for image classification
Online	sparse	Matrix Gaussian Process Regression and Vision Applications
Online Task-free Continual Learning with Dynamic	sparse	Distributed Memory
Online Video	sparse	Noise Removing via Nonlocal Robust PCA
Online Visual Tracking via Two View	sparse	Representation
Online writer identification system using adaptive	sparse	representation framework
Optical flow estimation using learned	sparse	model
Optical flow estimation using	sparse	gradient representation
Optimal Cell Size for Efficient Retrieval of	sparse	Data by Approximate 2D Position Using a Coarse Spatial Array
Optimal Coarray Combinations Robust to Sensor Failures on	sparse	Arrays
Optimal Couple Projections for Domain Adaptive	sparse	Representation-Based Classification
Optimal Discriminative Projection for	sparse	Representation-Based Classification via Bilevel Optimization
Optimal Knots Selection for	sparse	Reduced Data
Optimal	sparse	representations for blind source separation and blind deconvolution: a learning approach
Optimal	sparse	Sampling for Detection of a Known Signal in Nonwhite Gaussian Noise
Optimization of regularization parameter for	sparse	reconstruction based on predictive risk estimate
Optimization-Oriented Algorithm for	sparse	Signal Reconstruction, An
Optimized Color Filter Arrays for	sparse	Representation-Based Demosaicking
Optimized image super-resolution based on	sparse	representation
Optimized Pilot Placement for	sparse	Channel Estimation in OFDM Systems
Optimizing an Algorithm Designed for	sparse	-Frequency Waveforms for Use in Airborne Radars
Optimizing collaborative	sparse	dictionary for compressive light field photography
Orassyll: Object Recognition with Autonomously Learned and	sparse	Symbolic Representations Based on Local Line Detectors
ORASSYLL: Object Recognition with Autonomously Learned and	sparse	Symbolic Representations Based on Metrically Organized Local Line Detectors
Order Preserving	sparse	Coding
Order-Preserving	sparse	Coding for Sequence Classification
Orthogonal	sparse	fractal coding algorithm based on image texture feature
Orthogonal Subspace Projection Using Data Sphering and Low-Rank and	sparse	Matrix Decomposition for Hyperspectral Target Detection
Other Invariants in Face Recognition, General Invariants,	sparse	Representations
Other	sparse	Coding, Low Dimensional Representation, Invariants
Out-of-Sample Embedding by	sparse	Representation
Outlier Removal for	sparse	3D Reconstruction from Video
p-norm variable step-size LMS algorithm for	sparse	system identification, A
Pair of projections based on	sparse	consistence with applications to efficient face recognition
paired	sparse	representation model for robust face recognition from a single sample, A
PAN-Guided Cross-Resolution Projection for Local Adaptive	sparse	Representation- Based Pansharpening
Pan-Sharpening for Spectral Details Preservation Via Convolutional	sparse	Coding in Non-Subsampled Shearlet Space
Pansharpening With Spatial Hessian Non-Convex	sparse	and Spectral Gradient Low Rank Priors
Parallel Implementation of the	sparse	-Matrix/Canonical Grid Method for the Analysis of Two-Dimensional Random Rough Surfaces (Three-Dimensional Scattering Problem) on a Beowulf System
Parallel Vision Algorithms Using	sparse	Array Representations
Parameter Distribution Models for Estimation of Population Based Left Ventricular Deformation Using	sparse	Fiducial Markers
Parameterized Strain Estimation for Vascular Ultrasound Elastography With	sparse	Representation
Parametric PSF estimation based on predicted-SURE with l1-penalized	sparse	deconvolution
Paramixer: Parameterizing Mixing Links in	sparse	Factors Works Better than Dot-Product Self-Attention
Pareto-Based	sparse	Subspace Learning Framework, A
Partial	sparse	shape constrained sector-driven bladder wall segmentation
Particle Filter-Based Approach for Vehicle Trajectory Reconstruction Using	sparse	Probe Data, A
Particle filtering and	sparse	sampling for multi-person 3D tracking
Parts-based multi-task	sparse	learning for visual tracking
Passive Imaging of Moving Targets Using	sparse	Distributed Apertures
Patch Based Video Summarization With Block	sparse	Representation
Patch-based image deconvolution via joint modeling of	sparse	priors
Patchwise Joint	sparse	Tracking With Occlusion Detection
Patchwise	sparse	Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images
Path Orthogonal Matching Pursuit for	sparse	Reconstruction and Denoising of SWIR Maritime Imagery
Path-Based Dictionary Augmentation: A Framework for Improving k-	sparse	Image Processing
Pathological Gait Detection of Parkinson's Disease Using	sparse	Representation
Pattern Recognition special issue:	sparse	representation for event recognition in videosurveillance
Pattern-Coupled	sparse	Bayesian Learning for Inverse Synthetic Aperture Radar Imaging
PCA-based dictionary building for accurate facial expression recognition via	sparse	representation
PCCA: A new approach for distance learning from	sparse	pairwise constraints
Pedestrian detection based on	sparse	coding and transfer learning
Pedestrian Detection with	sparse	Depth Estimation
Pedestrian Trajectory Prediction Using LSTM and	sparse	Motion Fields
PENDANTSS: PEnalized Norm-Ratios Disentangling Additive Noise, Trend and	sparse	Spikes
People Counting in Dense Crowd Images Using	sparse	Head Detections
People re-identification by classification of silhouettes based on	sparse	representation
Perceptual	sparse	representation for compressed sensing of image
Perceptually learning multi-view	sparse	representation for scene categorization
Perceptually optimized	sparse	coding for HDR images via divisive normalization
Performance analysis of adaptive filter structure employing wavelet and	sparse	subfilters
Performance of	sparse	Representation Algorithms Using Randomly Generated Frames
Peripapillary Atrophy Detection by	sparse	Biologically Inspired Feature Manifold
Permuted	sparse	Representation for 3D Point Clouds
Persistent Homology in	sparse	Regression and Its Application to Brain Morphometry
Person Re-Identification by Iterative Re-Weighted	sparse	Ranking
Person re-identification using	sparse	representation with manifold constraints
Person re-identification with block	sparse	recovery
Phase imaging via	sparse	coding in the complex domain based on high-order SVD and nonlocal BM3D techniques
Phase retrieval of	sparse	signals using optimization transfer and ADMM
Phase retrieval via spatial light modulator phase modulation in 4f optical setup: numerical inverse imaging with	sparse	regularization for phase and amplitude
Photo-consistent surfaces from a	sparse	set of viewpoints
Photometric Stereo Using	sparse	Bayesian Regression for General Diffuse Surfaces
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from	sparse	Inertial Sensors
Piano Transcription With Convolutional	sparse	Lateral Inhibition
Piecewise planar scene reconstruction from	sparse	correspondences
Piecewise Smooth Segmentation with	sparse	Prior
Pileup Correction Algorithm using an Iterated	sparse	Reconstruction Method
PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in	sparse	-view CT Reconstruction
Pix2Point: Learning Outdoor 3D Using	sparse	Point Clouds and Optimal Transport
Planar surface detection for	sparse	and heterogeneous mobile laser scanning point clouds
Planar Surface Reconstruction from	sparse	Views
PlaneFormers: From	sparse	View Planes to 3D Reconstruction
Platoon Trajectory Completion in a Mixed Traffic Environment Under	sparse	Observation
Plausibilistic preprocessing of	sparse	range images
pLSA for	sparse	Arrays With Tsallis Pseudo-Additive Divergence: Noise Robustness and Algorithm
PLSA-Based	sparse	Representation for Object Classification
PLSA-based	sparse	representation for vehicle color classification
PointDrop: Improving Object Detection from	sparse	Point Clouds via Adversarial Data Augmentation
Polarimetric Contextual Classification of PolSAR Images Using	sparse	Representation and Superpixels
Polarimetric SAR Image Filtering Based on Patch Ordering and Simultaneous	sparse	Coding
PolSAR Coherency Matrix Decomposition Based on Constrained	sparse	Representation
Polya Urn Latent Dirichlet Allocation: A Doubly	sparse	Massively Parallel Sampler
Polyhedral Object Recognition with	sparse	Data in SIMD Processing Mode
Polyhedral Object Recognition with	sparse	Data: Validation of Interpretations
Pose Invariant Deformable Shape Priors Using L_1 Higher Order	sparse	Graphs
Pose-based human action recognition via	sparse	representation in dissimilarity space
Pose-Robust Face Recognition Via	sparse	Representation
PoseDiff: Pose-conditioned Multimodal Diffusion Model for Unbounded Scene Synthesis from	sparse	Inputs
Positive	sparse	Signal Denoising: What Does a CNN Learn?
Power-Constrained Image Contrast Enhancement Through	sparse	Representation by Joint Mixed-Norm Regularization
Precision Downward-Looking 3D Synthetic Aperture Radar Imaging with	sparse	Linear Array and Platform Motion Parameters Estimation
Preconditioning for Underdetermined Linear Systems with	sparse	Solutions
Predicting onsets of genocide with	sparse	additive models
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based	sparse	Representation
Proactive 3D Robot Mapping in Environments with	sparse	Features
Probabilistic class structure regularized	sparse	representation graph for semi-supervised hyperspectral image classification
Probabilistic	sparse	Matching for Robust 3D/3D Fusion in Minimally Invasive Surgery
probabilistic	sparse	skeleton based object detection, A
Probabilistic	sparse	Subspace Clustering Using Delayed Association
Probabilistic Subspace Clustering Via	sparse	Representations
Probablistic phase based	sparse	stereo
Problem of	sparse	Image Coding, The
Processing	sparse	Panoramic Images via Space Variant Operators
Product	sparse	Coding
Progressive Compression of 3D Mesh Geometry Using	sparse	Approximations from Redundant Frame Dictionaries
Progressive edge-preserving depth maps coding based on	sparse	representation
Progressive Mode-Seeking on Graphs for	sparse	Feature Matching
Progressive	sparse	Local Attention for Video Object Detection
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and	sparse	Sensor Data
Projected Gradient Descent for Non-Convex	sparse	Spike Estimation
Projected Transfer	sparse	Coding for cross domain image representation
Prony-based Super-Resolution Phase Retrieval of	sparse	, Multidimensional Signals
Propagating	sparse	labels through edge-aware filters
Proposals for local basis selection for the	sparse	representation-based classifier
Protected Pooling Method of	sparse	Coding in Visual Classification
Provably correct reconstruction of surfaces from	sparse	noisy samples
Proximal Iteration for Deconvolving Poisson Noisy Images Using	sparse	Representations, A
Pruning Rule Based on a Distance	sparse	Table for Hierarchical Similarity Search Algorithms, A
Pseudo-Image and	sparse	Points: Vehicle Detection With 2D LiDAR Revisited by Deep Learning-Based Methods
Pseudo-Inverse-Based Hard Thresholding Algorithm for	sparse	Signal Recovery, A
PSO-Based	sparse	Source Location in Large-Scale Environments With a UAV Swarm
PU-Dense:	sparse	Tensor-Based Point Cloud Geometry Upsampling
Pushing the Efficiency Limit Using Structured	sparse	Convolutions
PVC-SLP: Perceptual Vibrotactile-Signal Compression Based-on	sparse	Linear Prediction
PVConvNet: Pixel-Voxel	sparse	Convolution for multimodal 3D object detection
q-Gaussian Maximum Correntropy Adaptive Filtering Algorithm for Robust	sparse	Recovery in Impulsive Noise, A
QRkit:	sparse	, Composable QR Decompositions for Efficient and Stable Solutions to Problems in Computer Vision
Quadruped gait analysis using	sparse	motion information
Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with	sparse	Convolutions
Quantifying Registration Uncertainty With	sparse	Bayesian Modelling
Quantitative microwave tomography from	sparse	measurements using a robust huber regularizer
Quantitative Optoacoustic Signal Extraction Using	sparse	Signal Representation
Quaternion Collaborative and	sparse	Representation With Application to Color Face Recognition
Query6DoF: Learning	sparse	Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation
QueryDet: Cascaded	sparse	Query for Accelerating High-Resolution Small Object Detection
Quick response barcode deblurring via L_0 regularisation based	sparse	optimisation
QUICKSAL: A small and	sparse	visual saliency model for efficient inference in resource constrained hardware
Radar Target Recognition Using Salient Keypoint Descriptors and Multitask	sparse	Representation
Random Faces Guided	sparse	Many-to-One Encoder for Pose-Invariant Face Recognition
Random Features for	sparse	Signal Classification
Random Generated Dictionaries for Convolutional	sparse	Coding: An ELM Interpretation for Simple CSC Applications
Random impulse noise removal using	sparse	and low rank decomposition of annihilating filter-based Hankel matrix
Random Noise Suppression of Magnetic Resonance Sounding Data with Intensive Sampling	sparse	Reconstruction and Kernel Regression Estimation
Random subspace based ensemble	sparse	representation
Randomized Algorithm for	sparse	Recovery, A
Range map superresolution-inpainting, and reconstruction from	sparse	data
Rank Preserving	sparse	Learning for Kinect Based Scene Classification
RASL: Robust Alignment by	sparse	and Low-Rank Decomposition for Linearly Correlated Images
Rate-distortion based	sparse	coding for image set compression
Rate-Distortion Optimized	sparse	Coding With Ordered Dictionary for Image Set Compression
RBDL: Robust block-Structured dictionary learning for block	sparse	representation
Real-Time Adaptive Hand Motion Recognition Using a	sparse	Bayesian Classifier
Real-time enhancement of	sparse	3D maps using a parallel segmentation scheme based on superpixels
Real-time estimation of freeway travel time with recurrent congestion based on	sparse	detector data
Real-time face tracking and recognition by	sparse	eigentracker with associative mapping to 3D shape
Real-Time Grayscale-Thermal Tracking via Laplacian	sparse	Representation
Real-time infrared pedestrian detection via	sparse	representation
Real-time Interpretation of Hand Motions using a	sparse	Bayesian Classifier on Motion Gradient Orientation Images
Real-Time Model-Based Rigid Object Pose Estimation and Tracking Combining Dense and	sparse	Visual Cues
Real-time Monocular Depth Estimation with	sparse	Supervision on Mobile
Real-Time Motion Segmentation of	sparse	Feature Points at Any Speed
Real-time Object Recognition in	sparse	Range Images Using Error Surface Embedding
Real-Time Pose-Invariant Face Recognition by Triplet Pose	sparse	Matrix from Only a Single Image
Real-time robust tracking via	sparse	representation: A mode-seeking approach
Real-Time	sparse	Visual Tracking Using Circulant Reverse LASSO Model
Real-time view synthesis from a	sparse	set of views
Real-time Visualization of a	sparse	Parametric Mixture Model for BTF Rendering
Realistic Face Animation for Audiovisual Speech Applications: A Densification Approach Driven by	sparse	Stereo Meshes
Realistic Full-Body Tracking from	sparse	Observations via Joint-Level Modeling
Recent Developments in the	sparse	Fourier Transform: A compressed Fourier transform for big data
Recognition and Localization of Overlapping Parts from	sparse	Data
Recognition of Facial Attributes Using Adaptive	sparse	Representations of Random Patches
Recognition of Low-Resolution Logos in Vehicle Images Based on Statistical Random	sparse	Distribution
Recognizing actions via	sparse	coding on structure projection
Recognizing and Locating Polyhedral Objects from	sparse	Range Data
Recognizing Brain States Using Deep	sparse	Recurrent Neural Network
Recognizing human actions based on	sparse	Coding with Non-negative and Locality constraints
Recognizing Human-Object Interactions Using	sparse	Subspace Clustering
Reconfigurable Intelligent Surface Aided	sparse	DOA Estimation Method With Non-ULA
Reconstructing diffusion kurtosis tensors from	sparse	noisy measurements
Reconstructing Free-Form Surfaces from	sparse	Data
Reconstructing FT-IR spectroscopic imaging data with a	sparse	prior
Reconstructing spatiotemporal trajectories from	sparse	data
Reconstructing Surfaces for	sparse	Point Clouds with On-Surface Priors
Reconstruction from	sparse	Data
Reconstruction of a Color Image from Nonuniformly Distributed	sparse	and Noisy Data
Reconstruction of low-rank jointly	sparse	signals from multiple measurement vectors
Reconstruction of Scene Models from	sparse	3D Structure
Reconstruction of	sparse	Wavelet Signals From Partial Fourier Measurements
Reconstruction of super-resolution lung 4D-CT using patch-based	sparse	representation
Reconstruction of visual surfaces from	sparse	data using parametric triangular approximants
Reconstructive and Discriminative	sparse	Representation for Visual Object Categorization
Reconstructive	sparse	Code Transfer for Contour Detection and Semantic Labeling
Recovery of 3D Closed Surfaces from	sparse	Data
Recovery of Binary	sparse	Signals From Compressed Linear Measurements via Polynomial Optimization
Recovery of Blood Flow From Undersampled Photoacoustic Microscopy Data Using	sparse	Modeling
Recovery of correlated	sparse	signals using adaptive backtracking matching pursuit
Recovery of Discontinuous Signals Using Group	sparse	Higher Degree Total Variation
Recovery of Low Rank and Jointly	sparse	Matrices with Two Sampling Matrices
Recovery of	sparse	Positive Signals on the Sphere from Low Resolution Measurements
Recurrent learning with clique structures for prostate	sparse	-view CT artifacts reduction
Recursive projected	sparse	matrix recovery (ReProSMR) with application in real-time video layer separation
Recursive	sparse	Blind Source Separation Method for Nonnegative and Correlated Data in NMR Spectroscopy, A
Reduced quaternion matrix-based	sparse	representation and its application to colour image processing
Reduced Reference Stereoscopic Image Quality Assessment Using	sparse	Representation and Natural Scene Statistics
Reduced-Reference Image Quality Assessment in Free-Energy Principle and	sparse	Representation
Reducing covariate factors of gait recognition using feature selection and dictionary-based	sparse	coding
Reducing Image Compression Artifacts by Structural	sparse	Representation and Quantization Constraint Prior
Refined clothing texture parsing by exploiting the discriminative meanings of	sparse	codes
Refitting Solutions Promoted by L12	sparse	Analysis Regularizations with Block Penalties
Reflectance Sharing: Predicting Appearance from a	sparse	Set of Images of a Known Shape
Reflection Removal for Stele Images via	sparse	Signal Decomposition
Refocusing of Moving Targets in SAR Images via Parametric	sparse	Representation
Region merging parameter dependency as information diversity to create	sparse	hierarchies of partitions
Region Tree Based	sparse	Model for Optical Flow Estimation
Region-Aware Portrait Retouching With	sparse	Interactive Guidance
Region-based active contours and	sparse	representations for texture segmentation
Region-based depth recovery for highly	sparse	depth maps
Region-Based Wavelet-Packet Adaptive Algorithm for	sparse	Response Identification
Region-Division-Based Joint	sparse	Representation Classification for Hyperspectral Images
Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar,	sparse	Lidar, and Multiscale Superpixels
Registration Method of	sparse	Representation Classification Method
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from	sparse	Inputs
Regularization with	sparse	Vector Fields: From Image Compression to TV-type Reconstruction
Regularized generalized eigen-decomposition with applications to	sparse	supervised feature extraction and sparse discriminant analysis
Regularized generalized eigen-decomposition with applications to	sparse	supervised feature extraction and sparse discriminant analysis
Regularized Gradient Descent Training of Steered Mixture of Experts for	sparse	Image Representation
Regularized motion blur-kernel estimation with adaptive	sparse	image prior learning
Regularized MSBL algorithm with spatial correlation for	sparse	hyperspectral unmixing
Regularized Simultaneous Forward-Backward Greedy Algorithm for	sparse	Unmixing of Hyperspectral Data
Regularized vector field learning with	sparse	approximation for mismatch removal
Regularizing Neural Radiance Fields from	sparse	RGB-D Inputs
Relational-Regularized Discriminative	sparse	Learning for Alzheimer's Disease Diagnosis
Relaxed	sparse	eigenvalue conditions for sparse estimation via non-convex regularized regression
Relaxed	sparse	eigenvalue conditions for sparse estimation via non-convex regularized regression
Reliable Camera Model Identification Using	sparse	Gaussian Processes
Remote Sensing Based Binary Classification of Maize. Dealing with Residual Autocorrelation in	sparse	Sample Situations
Remote Sensing Image Destriping Model Based on Low-Rank and Directional	sparse	Constraint, A
Remote Sensing Image Fusion via	sparse	Representations Over Learned Dictionaries
Remote sensing image fusion via wavelet transform and	sparse	representation
Remote Sensing Images Stripe Noise Removal by Double	sparse	Regulation and Region Separation
Remote Sensing Scene Classification Based on Convolutional Neural Networks Pre-Trained Using Attention-Guided	sparse	Filters
Remotely Sensed Image Classification Using	sparse	Representations of Morphological Attribute Profiles
Removing Rain from a Single Image via Discriminative	sparse	Coding
Rendering Almost Perspective Views from a	sparse	Set of Omnidirectional Images
Repairing	sparse	Low-Rank Texture
Repeated constrained	sparse	coding with partial dictionaries for hyperspectral unmixing
Representation learning with deep	sparse	auto-encoder for multi-task learning
Research on High Robustness Underwater Target Estimation Method Based on Variational	sparse	Bayesian Inference
Residential Building Reconstruction Based on the Data Fusion of	sparse	LiDAR Data and Satellite Imagery
Resolution enhancement based on learning the	sparse	association of image patches
Resolution enhancement of textual images via multiple coupled dictionaries and adaptive	sparse	representation selection
Restoration of blurred star field images by maximally	sparse	optimization
Restoration of Partial Color Artifact and Blotches using histogram matching and	sparse	technique
Restoration of Simulated EnMAP Data through	sparse	Spectral Unmixing
Restoring illumination and view dependent data from	sparse	samples
Restricted Connection Orthogonal Matching Pursuit for	sparse	Subspace Clustering
Rethinking Video ViTs:	sparse	Video Tubes for Joint Image and Video Learning
Retinal vessel enhancement via	sparse	coding and dictionary learning
Reverberant Audio Source Separation via	sparse	and Low-Rank Modeling
Reverse-Convex Programming for	sparse	Image Codes
Revisit of	sparse	Coding Based Anomaly Detection in Stacked RNN Framework, A
Revisiting Convolutional	sparse	Coding for Image Denoising: From a Multi-Scale Perspective
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A	sparse	Constrained Formulation
Reweighted	sparse	Regression for Hyperspectral Unmixing
Reweighted	sparse	subspace clustering
reweighted zero-attracting/repelling LMS algorithm for	sparse	system identification, A
RFI Mitigation for UWB Radar Via Hyperparameter-Free	sparse	SPICE Methods
RFI Source Localization in Microwave Interferometric Radiometry: A	sparse	Signal Reconstruction Perspective
RGB-D DSO: Direct	sparse	Odometry With RGB-D Cameras for Indoor Scenes
RGB-Z: Mapping a	sparse	Depth Map to a High Resolution RGB Camera Image
Rician denoising and deblurring using	sparse	representation prior and nonconvex total variation
Riemannian	sparse	Coding for Positive Definite Matrices
rigorous and efficient GPU implementation of level-set	sparse	field algorithm, A
Road marking recognition for map generation using	sparse	tensor voting
Road Scene Understanding by Occupancy Grid Learning from	sparse	Radar Clusters using Semantic Segmentation
Robust 3D Morphable Model Fitting by	sparse	SIFT Flow
Robust Absolute Rotation Estimation via Low-Rank and	sparse	Matrix Decomposition
Robust Adaptive Low-Rank and	sparse	Embedding for Feature Representation
Robust Adaptive	sparse	Learning Method for Graph Clustering
Robust Algorithm for Joint	sparse	Recovery in Presence of Impulsive Noise, A
Robust Anatomical Correspondence Detection by Hierarchical	sparse	Graph Matching
Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and	sparse	Decomposition
Robust and Efficient	sparse	Time-Invariant Radon Transform in the Mixed Time-Frequency Domain, A
Robust and Fast Collaborative Tracking with Two Stage	sparse	Optimization
Robust Appearance-based Tracking using a	sparse	Bayesian classifier
Robust Automatic Data Decomposition Using a Modified	sparse	NMF
Robust Background Feature Extraction Through Homogeneous Region-Based Joint	sparse	Representation for Hyperspectral Anomaly Detection
Robust Bayesian method for simultaneous block	sparse	signal recovery with applications to face recognition
Robust block	sparse	discriminative classification framework
Robust Cell Detection of Histopathological Brain Tumor Images Using	sparse	Reconstruction and Adaptive Dictionary Selection
Robust classification using structured	sparse	representation
Robust Coarse-to-Fine	sparse	Representation for Face Recognition
Robust Content Fingerprinting Algorithm Based on	sparse	Coding
Robust Core-Point-ROI Based Fingerprint Identification Using a	sparse	Classifier
Robust coupling in space of	sparse	codes for multi-view recognition
Robust disparity estimation on	sparse	sampled light field images
Robust domain adaptation image classification via	sparse	and low rank representation
Robust Dual Spatial Weighted	sparse	Unmixing for Remotely Sensed Hyperspectral Imagery
Robust e-NeRF: NeRF from	sparse	& Noisy Events under Non-Uniform Motion
Robust ear identification using	sparse	representation of local texture descriptors
Robust ECG biometrics using GNMF and	sparse	representation
Robust Ellipse Fitting Based on	sparse	Combination of Data Points
Robust estimation for	sparse	data
Robust estimation of foreground in surveillance videos by	sparse	error estimation
robust face and ear based multimodal biometric system using	sparse	representation, A
Robust face recognition based on iterative	sparse	coding and pixel selection
Robust Face Recognition by	sparse	Local Features from a Single Image under Occlusion
Robust face recognition for occluded real-world images using constrained probabilistic	sparse	network
Robust face recognition using locally adaptive	sparse	representation
Robust face recognition using	sparse	representation in LDA space
Robust Face Recognition via Accurate Face Alignment and	sparse	Representation
Robust Face Recognition via Adaptive	sparse	Representation
Robust Face Recognition via	sparse	Representation
Robust faces manifold modeling: Most expressive vs. most	sparse	criterion
Robust Feature Point Matching With	sparse	Model
Robust Fringe Projection Profilometry via	sparse	Representation
Robust graph regularised	sparse	matrix regression for two-dimensional supervised feature selection
Robust Group-	sparse	Representation Variational Method With Applications to Face Recognition, A
Robust head pose estimation via Convex Regularized	sparse	Regression
Robust Hierarchical-Optimization RLS Against	sparse	Outliers
Robust High-Order Manifold Constrained	sparse	Principal Component Analysis for Image Representation
Robust Hyperspectral Image Classification by Multi-Layer Spatial-Spectral	sparse	Representations
Robust Image Analysis With	sparse	Representation on Quantized Visual Features
Robust Image Fingerprinting via Distortion-Resistant	sparse	Coding
Robust image fusion with block	sparse	representation and online dictionary learning
Robust Indoor Scene Recognition Method Based on	sparse	Representation, A
Robust Infrared Small Target Detection via Jointly	sparse	Constraint of l1/2-Metric and Dual-Graph Regularization
Robust joint down- and cross-range	sparse	recovery of raw ultra-wideband SAR data
Robust Joint	sparse	Representation Based on Maximum Correntropy Criterion for Hyperspectral Image Classification
Robust Jointly	sparse	Regression with Generalized Orthogonal Learning for Image Feature Selection
Robust Kernel Regression for Restoration and Reconstruction of Images from	sparse	Noisy Data
Robust local optical flow estimation using bilinear equations for	sparse	motion estimation
Robust Locality-Constrained Label Consistent K-SVD by Joint	sparse	Embedding
Robust Low Rank and	sparse	Representation for Multiple Kernel Dimensionality Reduction
Robust Maximum Likelihood estimation by	sparse	bundle adjustment using the L1 norm
Robust motion segmentation via refined	sparse	subspace clustering
Robust multi-atlas label propagation by deep	sparse	representation
Robust multi-feature visual tracking via multi-task kernel-based	sparse	learning
Robust Multi-Focus Image Fusion Using Multi-Task	sparse	Representation and Spatial Context
Robust Multi-Image Processing with Optimal	sparse	Regularization
Robust multi-view learning via M-estimator joint	sparse	representation
Robust object recognition in RGB-D egocentric videos based on	sparse	Affine Hull Kernel
Robust object tracking algorithm based on	sparse	eigenbasis
Robust object tracking based on discriminative analysis and local	sparse	representation
Robust object tracking based on local discriminative	sparse	representation
Robust Object Tracking via Key Patch	sparse	Representation
Robust Object Tracking via Local	sparse	Appearance Model
Robust object tracking via multi-task dynamic	sparse	model
Robust Object Tracking via	sparse	Collaborative Appearance Model
Robust online 3D reconstruction combining a depth sensor and	sparse	feature points
Robust online tracking via	sparse	gradient convolution networks
Robust optical flow estimation based on a	sparse	motion trajectory set
Robust Optical Flow Estimation in Cardiac Ultrasound Images Using a	sparse	Representation
Robust pedestrian detection in thermal infrared imagery using a shape distribution histogram feature and modified	sparse	representation classification
Robust people counting using	sparse	representation and random projection
Robust photometric stereo using	sparse	regression
Robust Projective Low-Rank and	sparse	Representation by Robust Dictionary Learning
Robust proportionate adaptive filter based on maximum correntropy criterion for	sparse	system identification in impulsive noise environments
Robust Reconstruction of MRSI Data Using a	sparse	Spectral Model and High Resolution MRI Priors
Robust Registration-Based Tracking by	sparse	Representation with Model Update
Robust RVM regression using	sparse	outlier model
Robust Scene Categorization via Scale-Rotation Invariant Generative Model and Kernel	sparse	Representation Classification
Robust scene matching method based on	sparse	representation and iterative correction
Robust Scheme for	sparse	Reflectivity Recovering From Uniformly Quantized Seismic Data, A
Robust Simultaneous Registration and Segmentation with	sparse	Error Reconstruction
Robust Single Image Super-Resolution via Deep Networks With	sparse	Prior
Robust Sonar ATR Through Bayesian Pose-Corrected	sparse	Classification
Robust Space-Time Joint	sparse	Processing Method with Airborne Active Array for Severely Inhomogeneous Clutter Suppression
Robust	sparse	and Dense Nonrigid Structure From Motion
Robust	sparse	and low-redundancy multi-label feature selection with dynamic local and global structure preservation
Robust	sparse	Blind Source Separation
Robust	sparse	bounding sphere for 3D face recognition
Robust	sparse	Coding and Compressed Sensing with the Difference Map
Robust	sparse	coding for face recognition
Robust	sparse	Coding for Mobile Image Labeling on the Cloud
Robust	sparse	coding for one-class classification based on correntropy and logarithmic penalty function
Robust	sparse	Direct Localization of Smart Vehicle With Partly Calibrated Time Modulated Arrays
Robust	sparse	Hashing
Robust	sparse	Hyperspectral Unmixing With L_2,1 Norm
Robust	sparse	image denoising
Robust	sparse	Imaging Algorithm Using Joint MIMO Array Manifold and Array Channel Outliers, A
Robust	sparse	Learning Based on Kernel Non-Second Order Minimization
Robust	sparse	Linear Discriminant Analysis
Robust	sparse	Matching and Motion Estimation Using Genetic Algorithms
Robust	sparse	Recovery Based Vehicles Location Estimation in Intelligent Transportation System
Robust	sparse	Recovery in Impulsive Noise via Continuous Mixed Norm
Robust	sparse	representation based multi-focus image fusion with dictionary construction and local spatial consistency
Robust	sparse	Representation in Quaternion Space
Robust	sparse	Signal Recovery in the Presence of the S alpha-S Noise
Robust	sparse	Tensor Decomposition by Probabilistic Latent Semantic Analysis
Robust	sparse	Unmixing for Hyperspectral Imagery
Robust Structural	sparse	Tracking
Robust Structured Dictionary Learning For Block	sparse	Representations Using a-Divergence
Robust surface normal estimation via greedy	sparse	regression
Robust synchronization in SO(3) and SE(3) via low-rank and	sparse	matrix decomposition
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with	sparse	Corruptions
Robust tracking using local	sparse	appearance model and K-selection
Robust tracking via discriminative	sparse	feature selection
Robust tracking with interest points: A	sparse	representation approach
Robust UAV Visual Teach and Repeat Using Only	sparse	Semantic Object Features
Robust unsupervised feature selection by nonnegative	sparse	subspace learning
Robust Video Restoration by Joint	sparse	and Low Rank Matrix Approximation
Robust Visual Cooperative Tracking Using Constrained Adaptive	sparse	Representations and Sparse Classifier Grids
Robust Visual Cooperative Tracking Using Constrained Adaptive	sparse	Representations and Sparse Classifier Grids
Robust Visual Object Tracking via	sparse	Representation and Reconstruction
Robust Visual Tracking and Vehicle Classification via	sparse	Representation
Robust visual tracking based on product	sparse	coding
Robust Visual Tracking Using Dynamic Classifier Selection with	sparse	Representation of Label Noise
Robust Visual Tracking Using Local	sparse	Appearance Model and K-Selection
Robust Visual Tracking Using	sparse	Discriminative Graph Embedding
Robust Visual Tracking Using Structure-Preserving	sparse	Learning
Robust visual tracking via CAMShift and structural local	sparse	appearance model
Robust Visual Tracking Via Consistent Low-Rank	sparse	Learning
Robust Visual Tracking Via Multi-Task	sparse	Learning
Robust visual tracking via multi-view discriminant based	sparse	representation
Robust visual tracking via nonlocal regularized multi-view	sparse	representation
Robust Visual Tracking via Rank-Constrained	sparse	Learning
Robust Visual Tracking via Smooth Manifold Kernel	sparse	Learning
Robust Visual Tracking via	sparse	Representation Under Subclass Discriminant Constraint
Robust Visual Tracking via Structured Multi-Task	sparse	Learning
Robust visual tracking with discriminative	sparse	learning
Robust wheelchair pedestrian detection using	sparse	representation
Robustly tracking objects via multi-task kernel dynamic	sparse	model
Role of	sparse	Data Representation in Semantic Image Understanding, The
Rolling Guidance Based Scale-Aware Spatial	sparse	Unmixing for Hyperspectral Remote Sensing Imagery
Root	sparse	Bayesian Learning for Off-Grid DOA Estimation
RSN: Range	sparse	Net for Efficient, Accurate LiDAR 3D Object Detection
RTL3D: real-time LIDAR-based 3D object detection with	sparse	CNN
Rust Detection of Steel Structure via One-Class Classification and L2	sparse	Representation with Decision Fusion
S-VolSDF:	sparse	Multi-View Stereo Regularization of Neural Implicit Surfaces
S2DNet: Learning Image Features for Accurate	sparse	-to-Dense Matching
S3: Learnable	sparse	Signal Superdensity for Guided Depth Estimation
S3CCA: Smoothly Structured	sparse	CCA for Partial Pattern Matching
Safe RuleFit: Learning Optimal	sparse	Rule Model by Meta Safe Screening
Saliency analysis and region-of-interest extraction for satellite images by biological	sparse	modeling
Saliency Analysis via Hyperparameter	sparse	Representation and Energy Distribution Optimization for Remote Sensing Images
Saliency detection based on short-term	sparse	representation
Saliency Detection Using Quaternion	sparse	Reconstruction
Saliency Detection via Dense and	sparse	Reconstruction
Saliency Detection: A Self-Adaption	sparse	Representation Approach
Saliency fusion via	sparse	and double low rank decomposition
saliency map method with cortex-like mechanisms and	sparse	representation, A
saliency prediction model on 360 degree images using color dictionary based	sparse	representation, A
Saliency-based selection of	sparse	descriptors for action recognition
Salient object detection by multi-level features learning determined	sparse	reconstruction
Salient object detection employing robust	sparse	representation and local consistency
Salient Object Detection via Recursive	sparse	Representation
Salient object detection via	sparse	representation and multi-layer contour zooming
Salient region detection through	sparse	reconstruction and graph-based ranking
Salient Region Detection Using Diffusion Process on a Two-Layer	sparse	Graph
Salient traffic sign recognition based on	sparse	representation of visual perception
Salient view selection based on	sparse	representation
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from	sparse	Panoramas
Sample selection for visual domain adaptation via	sparse	coding
Sampling and Reconstruction of Diffused	sparse	Graph Signals From Successive Local Aggregations
Sampling and Reconstruction of	sparse	Signals in Fractional Fourier Domain
SAR Ground Moving Target Imaging Algorithm Based on Parametric and Dynamic	sparse	Bayesian Learning
SAR Image Denoising via	sparse	Representation in Shearlet Domain Based on Continuous Cycle Spinning
SAR Image Recognition with Monogenic Scale Selection-Based Weighted Multi-task Joint	sparse	Representation
SAR Target Configuration Recognition via Two-Stage	sparse	Structure Representation
SAR Target Recognition via Joint	sparse	and Dense Representation of Monogenic Signal
SAR Target Recognition via Local	sparse	Representation of Multi-Manifold Regularized Low-Rank Approximation
SAR Target Recognition via Supervised Discriminative Dictionary Learning and	sparse	Representation of the SAR-HOG Feature
SAR2HEIGHT: Height Estimation from a Single SAR Image in Mountain Areas via	sparse	Height and Proxyless Depth-Aware Penalty Neural Architecture Search for Unet
SBNet:	sparse	Blocks Network for Fast Inference
SCA Net:	sparse	Channel Attention Module for Action Recognition
Scalable Coding of Plenoptic Images by Using a	sparse	Set and Disparities
Scalable Differential Privacy with	sparse	Network Finetuning
Scalable Face Image Retrieval Using Attribute-Enhanced	sparse	Codewords
Scalable Face Track Retrieval in Video Archives Using Bag-of-Faces	sparse	Representation
Scalable Image Retrieval by	sparse	Product Quantization
Scalable Kernel Correlation Filter with	sparse	Feature Integration
Scalable light field compression scheme using	sparse	reconstruction and restoration
Scalable Mobile Video Retrieval with	sparse	Projection Learning and Pseudo Label Mining
Scalable object detection by filter compression with regularized	sparse	coding
Scalable Online Convolutional	sparse	Coding
Scalable	sparse	Subspace Clustering
Scalable	sparse	Subspace Clustering by Orthogonal Matching Pursuit
Scalar Quantization as	sparse	Least Square Optimization
Scale-invariant anomaly detection with multiscale group-	sparse	models
Scaled and Adaptive Fista Algorithm for Signal-dependent	sparse	Image Super-resolution Problems, A
Scatter matrix decomposition for jointly	sparse	learning
SCCMDet: Adaptive	sparse	Convolutional Networks Based on Class Maps for Real-Time Onboard Detection in Unmanned Aerial Vehicle Remote Sensing Images
Scene Classification Based on the Fully	sparse	Semantic Topic Model
Scene Classification Based On The Semantic-feature Fusion Fully	sparse	Topic Model For High Spatial Resolution Remote Sensing Imagery
Scene Classification Based on the	sparse	Homogeneous-Heterogeneous Topic Feature Model
Scene Labeling Using	sparse	Precision Matrix
Scene modelling from	sparse	3D data
Scene Reconstruction with	sparse	Range Information
Scene text detection using	sparse	stroke information and MLP
Scene Text Recognition Using Similarity and a Lexicon with	sparse	Belief Propagation
Scene text recognition using	sparse	coding based features
SceneFlowFields: Dense Interpolation of	sparse	Scene Flow Correspondences
SCK: A	sparse	Coding Based Key-Point Detector
SCoBeP: Dense image registration using	sparse	coding and belief propagation
Screen content image segmentation using	sparse	decomposition and total variation minimization
Screen content video quality assessment based on spatiotemporal	sparse	feature
SCV-Stereo: Learning Stereo Matching from a	sparse	Cost Volume
Sea-surface image super-resolution based on	sparse	representation
Searching Efficient 3d Architectures with	sparse	Point-voxel Convolution
Secure and Robust Iris Recognition Using Random Projections and	sparse	Representations
Secure OMP Computation Maintaining	sparse	Representations and Its Application to EtC Systems
See all by looking at a few:	sparse	modeling for finding representative objects
Seeing Beyond the Brain: Conditional Diffusion Model with	sparse	Masked Modeling for Vision Decoding
Segmentation Based	sparse	Reconstruction of Optical Coherence Tomography Images
Segmentation of High Angular Resolution Diffusion MRI Using	sparse	Riemannian Manifold Clustering
Segmentation of left ventricles from echocardiographic sequences via	sparse	appearance representation
Segmentation of	sparse	noisy point clouds using active contour models
Segmentation over Detection by Coupled Global and Local	sparse	Representations
Segmentation Over Detection via Optimal	sparse	Reconstructions
Segmented rapid magnetic resonance imaging using structured	sparse	representations
Segmenting color images into surface patches by exploiting	sparse	depth data
Seismic Noise Attenuation Using Unsupervised	sparse	Feature Learning
Seismic Signal Matching and Complex Noise Suppression by Zernike Moments and Trilateral Weighted	sparse	Coding
Seismic Simultaneous Source Separation via Patchwise	sparse	Representation
Selective Overview of	sparse	Principal Component Analysis, A
Selective Progressive Learning for	sparse	Depth Completion
Selective	sparse	Sampling for Fine-Grained Image Recognition
Self Learning Classification for Degraded Document Images by	sparse	Representation
Self-adaptive weighted synthesised local directional pattern integrating with	sparse	autoencoder for expression recognition based on improved multiple kernel learning strategy
Self-Distillation-Based Polarimetric Image Classification with Noisy and	sparse	Labels
Self-explanatory	sparse	Representation for Image Classification
Self-learning-based post-processing for image/video deblocking via	sparse	representation
Self-Paced Joint	sparse	Representation for the Classification of Hyperspectral Images
Self-Referencing Level-Set Method for Image Reconstruction from	sparse	Fourier Samples, A
Self-Similarity Constrained	sparse	Representation for Hyperspectral Image Super-Resolution
Self-supervised	sparse	Representation for Video Anomaly Detection
Self-supervised	sparse	to Dense Motion Segmentation
Semantic Layout Manipulation with High-Resolution	sparse	Attention
Semantic Segmentation of High-Resolution Remote Sensing Images Based on	sparse	Self-Attention and Feature Alignment
Semantic segmentation via	sparse	coding over hierarchical regions
Semantic	sparse	Recoding of Visual Content for Image Applications
Semantic-	sparse	Colorization Network for Deep Exemplar-Based Colorization
SEMD Based	sparse	Gabor Representation for Eyeglasses-Face Recognition
Semi-Blind	sparse	Image Reconstruction With Application to MRFM
Semi-Coupled Convolutional	sparse	Learning for Image Super-Resolution
Semi-supervised action recognition in video via Labeled Kernel	sparse	Coding and sparse L1 graph
Semi-supervised action recognition in video via Labeled Kernel	sparse	Coding and sparse L1 graph
Semi-supervised classification and betweenness computation on large,	sparse	, directed graphs
Semi-supervised classification via discriminative	sparse	manifold regularization
Semi-supervised dictionary learning via local	sparse	constraints for violence detection
Semi-supervised double	sparse	graphs based discriminant analysis for dimensionality reduction
Semi-supervised learning based on group	sparse	for relative attributes
Semi-supervised learning of	sparse	representations to recognize people spatial orientation
Semi-supervised	sparse	feature selection based on multi-view Laplacian regularization
semi-supervised	sparse	K-Means algorithm, A
Semi-Supervised	sparse	Representation Based Classification for Face Recognition With Insufficient Labeled Samples
Semisupervised Discriminant Feature Learning for SAR Image Category via	sparse	Ensemble
Semisupervised	sparse	Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images
Sensing Matrix Optimization Based on Equiangular Tight Frames With Consideration of	sparse	Representation Error
Sensitivity of BRDF, NDVI and Wind Speed to the Aerodynamic Roughness Length over	sparse	Tamarix in the Downstream Heihe River Basin
Sensor Fusion for	sparse	SLAM with Descriptor Pooling
Separability of ternary codes for	sparse	designs of error-correcting output codes
Separation of Reflection Components by	sparse	Non-negative Matrix Factorization
Separation of reflections via	sparse	ICA
sequential algorithm for	sparse	support vector classifiers, A
Sequential Error Concealment for Video/Images by	sparse	Linear Prediction
Sequential non-stationary dynamic classification with	sparse	feedback
SFM-based	sparse	to dense 3D face reconstruction method robust to feature tracking errors, A
SG-NN:	sparse	Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
SGA-Net: A	sparse	Graph Attention Network for Two-View Correspondence Learning
SGCN:	sparse	Graph Convolution Network for Pedestrian Trajectory Prediction
sgdm: An R Package for Performing	sparse	Generalized Dissimilarity Modelling with Tools for gdm
Shape Description from	sparse	and Imperfect Data
Shape	sparse	Representation for Joint Object Classification and Segmentation
ShapeFormer: Transformer-based Shape Completion via	sparse	Representation
Shapelet-Based	sparse	Representation for Landcover Classification of Hyperspectral Images
Shearlet Network-based	sparse	Coding Augmented by Facial Texture Features for Face Recognition
Shearlet-based	sparse	representation for super-resolution in diffusion weighted imaging (DWI)
Ship Detection in SAR Images via Enhanced Nonnegative	sparse	Locality-Representation of Fisher Vectors
Ship Wake Detection in SAR Images via	sparse	Regularization
Short Communication: Weak	sparse	Superresolution is Well-Conditioned
Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using	sparse	Time Series Models
Should we discard	sparse	or incomplete videos?
Side Scan Sonar Image Super Resolution via Region-Selective	sparse	Coding
Sidelobe Suppression Method for Circular Ground-Based SAR 3D Imaging Based on	sparse	Optimization of Radial Phase-Center Distribution, A
SIFT-based Elastic	sparse	coding for image retrieval
SIGMA: Scale-Invariant Global	sparse	Shape Matching
Significant Anatomy Detection Through	sparse	Classification: A Comparative Study
Silhouette-based camera calibration from	sparse	views under circular motion
Similarity Based Block	sparse	Subset Selection for Video Summarization
Similarity Domains Machine for Scale-Invariant and	sparse	Shape Modeling
Similarity K-d tree method for	sparse	point pattern matching with underlying non-rigidity
Similarity preserving analysis based on	sparse	representation for image feature extraction and classification
Similarity weighted	sparse	representation for classification
Similarity-based image classification via kernelized	sparse	representation
Simple Algorithm for Non-Negative	sparse	Principal Component Analysis, A
Simple Method for Retrieving Understory NDVI in	sparse	Needleleaf Forests in Alaska Using MODIS BRDF Data, A
Simple mixture model for	sparse	overcomplete ICA
Simple Room Shape Modeling With	sparse	3d Point Information Using Photogrammetry And Application Software
Simple	sparse	Bundle Adjustment (SSBA)
Simple, Effective Way To Improve Neural Net Classification: Ensembling Unit Activations With A	sparse	Oblique Decision Tree, A
Simplification Resilient LDPC-Coded	sparse	-QIM Watermarking for 3D-Meshes
Simulating vision through time: Hierarchical,	sparse	models of visual cortex for motion imagery
Simulation of ISAR Imaging for a Space Target and Reconstruction Under	sparse	Sampling via Compressed Sensing
Simultaneous Acquisition of High Quality RGB Image and Polarization Information using a	sparse	Polarization Sensor
Simultaneous Compaction and Factorization of	sparse	Image Motion Matrices
Simultaneous discriminative projection and dictionary learning for	sparse	representation based classification
Simultaneous image fusion and denoising with adaptive	sparse	representation
Simultaneous image transformation and	sparse	representation recovery
Simultaneous Localization and Mapping for Semi-	sparse	Point Clouds
Simultaneous Moving and Stationary Target Imaging for Geosynchronous Spaceborne-Airborne Bistatic SAR Based on	sparse	Separation
Simultaneous recognition of facial expression and identity via	sparse	representation
Simultaneous Reconstruction and Anomaly Detection of Subsampled Hyperspectral Images Using l_(1/2) Regularized Joint	sparse	and Low-Rank Recovery
Simultaneous	sparse	Bayesian Learning With Partially Shared Supports
Simultaneous	sparse	Graph Embedding for Hyperspectral Image Classification
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional	sparse	Coding
Simultaneous variational image segmentation and object recognition via shape	sparse	representation
Simultaneously Multiobjective	sparse	Unmixing and Library Pruning for Hyperspectral Imagery
Simultaneously	sparse	and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing
Single and Multiple Object Tracking Using a Multi-Feature Joint	sparse	Representation
Single and	sparse	view 3D reconstruction by learning shape priors
Single color image dehazing using	sparse	priors
Single depth image super-resolution and denoising based on	sparse	graphs via structure tensor
Single image haze removal using Gaussian mixture model and	sparse	optimization
Single Image Highlight Removal with a	sparse	and Low-Rank Reflection Model
Single image rain removal based on depth of field and	sparse	coding
Single image super resolution via texture constrained	sparse	representation
Single image super-resolution based on adaptive convolutional	sparse	coding and convolutional neural networks
Single image super-resolution based on	sparse	representation using dictionaries trained with input image patches
Single image super-resolution based on	sparse	representation using edge-preserving regularization and a low-rank constraint
Single Image Super-Resolution Using	sparse	Representation on a K-NN Dictionary
Single image super-resolution using	sparse	representations with structure constraints
Single image super-resolution via 2D nonlocal	sparse	representation
Single image super-resolution via adaptive	sparse	representation and low-rank constraint
Single image super-resolution via	sparse	KPCA and regression
Single Image Super-Resolution With Learning Iteratively Non-Linear Mapping Between Low- and High-Resolution	sparse	Representations
Single Sample Face Recognition by	sparse	Recovery of Deep-Learned LDA Features
Single Textual Image Super-Resolution Using Multiple Learned Dictionaries Based	sparse	Coding
Single-image super resolution using evolutionary	sparse	coding technique
Single-image super-resolution in RGB space via group	sparse	representation
Single-Image Super-Resolution Reconstruction via Learned Geometric Dictionaries and Clustered	sparse	Coding
Single-Image Super-Resolution Using	sparse	Regression and Natural Image Prior
Single-Image Super-Resolution via	sparse	Coding Regression
Single-Sample Face Recognition with Image Corruption and Misalignment via	sparse	Illumination Transfer
Single-Spectrum-Driven Binary-Class	sparse	Representation Target Detector for Hyperspectral Imagery
Sketch Fewer to Recognize More by Learning a Co-Regularized	sparse	Representation
Sketch-Based Region Adaptive	sparse	Unmixing Applied to Hyperspectral Image
Sketched	sparse	Subspace Clustering For Large-Scale Hyperspectral Images
Sketches by MoSSaRT: Representative selection from manifolds with gross	sparse	corruptions
Skin beautification detection using	sparse	coding
Sliding Window-Based Joint	sparse	Representation (SWJSR) Method for Hyperspectral Anomaly Detection, A
SLiKER:	sparse	loss induced kernel ensemble regression
Slim DensePose: Thrifty Learning From	sparse	Annotations and Motion Cues
Small Target Detection Method Based on Low-Rank	sparse	Matrix Factorization for Side-Scan Sonar Images
Smartphone based visible iris recognition using deep	sparse	filtering
SMAUG:	sparse	Masked Autoencoder for Efficient Video-Language Pre-training
SME-Net:	sparse	Motion Estimation for Parametric Video Prediction Through Reinforcement Learning
Smooth	sparse	representation for noise robust face super-resolution
Smoothed Low Rank and	sparse	Matrix Recovery by Iteratively Reweighted Least Squares Minimization
Snapshot High Dynamic Range Imaging via	sparse	Representations and Feature Learning
Social Attributes-Based Content Delivery for	sparse	Vehicular Content-Centric Network
Soft-signed	sparse	coding for ground-based cloud classification
Soft-Split	sparse	Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease
Solving the	sparse	Data Image Restoration Problem by Local Minimization
Source Counting Method Using Acoustic Vector Sensor Based on	sparse	Modeling of DOA Histogram, A
SP-Det: Leveraging Saliency Prediction for Voxel-Based 3D Object Detection in	sparse	Point Cloud
SPA:	sparse	Photorealistic Animation Using a Single RGB-D Camera
Space Variant Gradient Based Corner Detector for	sparse	Omnidirectional Images, A
Space-Borne SAR Image Geo-Location in Mountain Area with	sparse	GCP
Space-Time Adaptive Processing and Motion Parameter Estimation in Multistatic Passive Radar Using	sparse	Bayesian Learning
SparCLeS: Dynamic L_1	sparse	Classifiers With Level Sets for Robust Beard/Moustache Detection and Segmentation
SPARF: Large-Scale Learning of 3D	sparse	Radiance Fields from Few Input Images
SPARF: Neural Radiance Fields from	sparse	and Noisy Poses
	sparse	2-D Canonical Correlation Analysis via Low Rank Matrix Approximation for Feature Extraction
	sparse	3D convolutional neural networks
	sparse	3D directional vertices vs continuous 3D curves: Efficient 3D surface matching and its application for single model face recognition
	sparse	3D Radon Space Rigid Registration of CT Scans: Method and Validation Study
	sparse	Action Tube Detection
	sparse	Activation Maps for Interpreting 3D Object Detection
	sparse	Active Rectangular Array With Few Closely Spaced Elements
	sparse	Adaptive Parameterization of Variability in Image Ensembles
	sparse	adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods
	sparse	Additive Subspace Clustering
	sparse	Adversarial Attack via Perturbation Factorization
	sparse	Aggregation Framework for Optical Flow Estimation
	sparse	algorithm for dense optimal transport, A
	sparse	Algorithms Are Not Stable: A No-Free-Lunch Theorem
	sparse	alternating decision tree
	sparse	analysis for mesoscale convective systems tracking
	sparse	and Complete Latent Organization for Geospatial Semantic Segmentation
	sparse	and Dense Data with CNNs: Depth Completion and Semantic Segmentation
	sparse	and Dense Hybrid Representation via Dictionary Decomposition for Face Recognition
	sparse	and Imperceivable Adversarial Attacks
	sparse	and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces, A
	sparse	and Locally Shift Invariant Feature Extractor Applied to Document Images, A
	sparse	and Low Rank Matrix Decomposition Based Local Morphological Analysis and Its Application to Diagnosis of Cirrhosis Livers
	sparse	and Low-Rank Decomposition of a Hankel Structured Matrix for Impulse Noise Removal
	sparse	and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery
	sparse	and Low-Rank Matrix Decomposition for Automatic Target Detection in Hyperspectral Imagery
	sparse	and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification, A
	sparse	and Noisy LiDAR Completion with RGB Guidance and Uncertainty
	sparse	And Redundant Modeling Of Image Content Using An Image-Signature-Dictionary
	sparse	and Redundant Representation Modeling: What Next?
	sparse	and Redundant Representations From Theory to Applications in Signal and Image Processing
	sparse	and Robust Multivariate Functional Principal Component Analysis for Passenger Flow Pattern Discovery in Metro Systems
	sparse	and Semi-supervised Visual Mapping with the S^3GP
	sparse	and stable gene selection with consensus SVM-RFE
	sparse	and Structured Visual Attention
	sparse	Aperture ISAR Imaging Method Based on Joint Constraints of Sparsity and Low Rank
	sparse	Aperture MIMO-SAR-Based UWB Imaging System for Concealed Weapon Detection, A
	sparse	approach to pedestrian trajectory modeling using multiple motion fields, A
	sparse	approximated nearest points for image set classification
	sparse	Approximation by Matching Pursuit Using Shift-Invariant Dictionary
	sparse	Approximation of 3D Meshes Using the Spectral Geometry of the Hamiltonian Operator
	sparse	approximation of 3D shapes via spectral graph wavelets
	sparse	Approximation of the Precision Matrices for the Wide-Swath Altimeters
	sparse	approximation to discriminant projection learning and application to image classification
	sparse	Approximation Using M-Term Pursuit and Application in Image and Video Coding
	sparse	approximation with adaptive dictionary for image prediction
	sparse	Approximations of 3D Mesh Geometry Using Frames as Overcomplete Dictionaries
	sparse	Array 3-D ISAR Imaging Based on Maximum Likelihood Estimation and CLEAN Technique
	sparse	Array Design for Adaptive Beamforming via Semidefinite Relaxation
	sparse	Array-Based Room Transfer Function Estimation for Echo Cancellation
	sparse	Arrays and Sampling for Interference Mitigation and DOA Estimation in GNSS
	sparse	attention block: Aggregating contextual information for object detection
	sparse	autoencoder for unsupervised nucleus detection and representation in histopathology images
	sparse	Auxiliary Networks for Unified Monocular Depth Prediction and Completion
	sparse	B-spline polynomial descriptors for human activity recognition
	sparse	based adaptive non separable vector lifting scheme for holograms compression
	sparse	Bayesian blind image deconvolution with parameter estimation
	sparse	Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks
	sparse	Bayesian image restoration
	sparse	Bayesian Imaging of Solar Flares
	sparse	Bayesian Learning Assisted Approaches for Road Network Traffic State Estimation
	sparse	Bayesian Learning Based Three-Dimensional Imaging Algorithm for Off-Grid Air Targets in MIMO Radar Array
	sparse	Bayesian Learning for Efficient Visual Tracking
	sparse	Bayesian Learning for End-to-End EEG Decoding
	sparse	Bayesian Learning of Filters for Efficient Image Expansion
	sparse	Bayesian Learning Using Generalized Double Pareto Prior for DOA Estimation
	sparse	Bayesian Learning-Based Time-Variant Deconvolution
	sparse	Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease
	sparse	Bayesian Non-linear Regression for Multiple Onsets Estimation in Non-invasive Cardiac Electrophysiology
	sparse	Bayesian Regression for Grouped Variables in Generalized Linear Models
	sparse	Bayesian Regression for Head Pose Estimation
	sparse	binarised statistical dynamic features for spatio-temporal texture analysis
	sparse	Black-Box Video Attack with Reinforcement Learning
	sparse	Blind Deconvolution of Ground Penetrating Radar Data
	sparse	blind source separation for partially correlated sources
	sparse	Brain Network Recovery Under Compressed Sensing
	sparse	BSS From Poisson Measurements
	sparse	Canonical Correlation Analysis: New Formulation and Algorithm
	sparse	Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition
	sparse	CapsNet with explicit regularizer
	sparse	Channel Pruning and Assistant Distillation for Faster Aerial Object Detection
	sparse	Circulant Binary Embedding: An Asymptotic Analysis
	sparse	Code Filtering for Action Pattern Mining
	sparse	Code Multiple Access Decoding Based on a Monte Carlo Markov Chain Method
	sparse	codes as Alpha Matte
	sparse	Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
	sparse	Coding and Dictionary Learning with Linear Dynamical Systems
	sparse	Coding and Mid-Level Superpixel-Feature for l0-Graph Based Unsupervised Image Segmentation
	sparse	coding and normalization for deep Fisher score representation
	sparse	coding approach for local-to-global 3D shape description, A
	sparse	Coding Based Fisher Vector Using a Bayesian Approach
	sparse	coding based motion attention for abnormal event detection
	sparse	coding based orientation estimation for latent fingerprints
	sparse	Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement
	sparse	coding based visual tracking: Review and experimental comparison
	sparse	Coding Driven Deep Decision Tree Ensembles for Nucleus Segmentation in Digital Pathology Images
	sparse	Coding for Alpha Matting
	sparse	Coding for Classification via Discrimination Ensemble
	sparse	coding for histograms of local binary patterns applied for image categorization: Toward a Bag-of-Scenes analysis
	sparse	Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition
	sparse	Coding Guided Spatiotemporal Feature Learning for Abnormal Event Detection in Large Videos
	sparse	Coding in Practice
	sparse	coding method for semi-supervised segmentation with multi-class histogram constraints, A
	sparse	coding of hyperspectral imagery using online learning
	sparse	Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition
	sparse	Coding of Shape Trajectories for Facial Expression and Action Recognition
	sparse	Coding on Cascaded Residuals
	sparse	Coding on Local Spatial-Temporal Volumes for Human Action Recognition
	sparse	Coding Trees with application to emotion classification
	sparse	Coding with a Coupled Dictionary Learning Approach for Textual Image Super-resolution
	sparse	coding with a global connectivity constraint
	sparse	coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution
	sparse	coding with unity range codes and label consistent discriminative dictionary learning
	sparse	coding-based spatiotemporal saliency for action recognition
	sparse	Coding-Enabled Low-Fluence Multi-Parametric Photoacoustic Microscopy
	sparse	Color Interest Points for Image Retrieval and Object Categorization
	sparse	composite quantization
	sparse	composition of body poses and atomic actions for human activity recognition in RGB-D videos
	sparse	compression algorithm for MBOK signals
	sparse	concept coding for visual analysis
	sparse	concept discriminant matrix factorization for image representation
	sparse	conditional copula models for structured output regression
	sparse	Conjugate Gradient Adaptive Filter, A
	sparse	Constrained Low Tensor Rank Representation Framework for Hyperspectral Unmixing
	sparse	constraint nearest neighbour selection in cross-media retrieval
	sparse	Contextual Activation for Efficient Visual Re-Ranking
	sparse	Contour Representations of Sound
	sparse	Convolutional Networks for Surface Reconstruction from Noisy Point Clouds
	sparse	Convolutional Neural Networks
	sparse	Convolutions on Continuous Domains for Point Cloud and Event Stream Networks
	sparse	correlation coefficient for objective image quality assessment
	sparse	Cost Volume for Efficient Stereo Matching
	sparse	cost-sensitive classifier with application to face recognition
	sparse	Covariance Estimates for High Dimensional Classification Using the Cholesky Decomposition
	sparse	curvature-based detector of affine invariant blobs, A
	sparse	Data Interpolation Using the Geodesic Distance Affinity Space
	sparse	DDK: A Data-Driven Decorrelation Filter for GRACE Level-2 Products
	sparse	Decomposition and Modeling of Anatomical Shape Variation
	sparse	Decomposition for Signal Periodic Model Over Complex Exponential Dictionary
	sparse	Decompositions for Exploratory Pattern Analysis
	sparse	decompositions in incoherent dictionaries
	sparse	deep feature learning for facial expression recognition
	sparse	Demixing of Hyperspectral Images
	sparse	Denoising-Based Super-Resolution Method for Scanning Radar Imaging, A
	sparse	Depth Calculation Using Real-Time Key-Point Detection and Structure from Motion for Advanced Driver Assist Systems
	sparse	Depth Sampling for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation
	sparse	depth super resolution
	sparse	Descriptions, Dictionary Descriptions
	sparse	descriptor for lexicon reduction in handwritten Arabic documents
	sparse	Dictionaries for Semantic Segmentation
	sparse	Dictionary Learning for Edit Propagation of High-Resolution Images
	sparse	Dictionary Learning for Identifying Grasp Locations
	sparse	dictionary-based representation and recognition of action attributes
	sparse	Direct Position Determination Based on TDOA Information in Correlation-Domain
	sparse	Direction of Arrival Estimation Using Co-Prime Arrays with Off-Grid Targets
	sparse	Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression
	sparse	Discrimination Based Multiset Canonical Correlation Analysis for Multi-Feature Fusion and Recognition
	sparse	discriminative feature selection
	sparse	Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification
	sparse	discriminative multi-manifold embedding for one-sample face identification
	sparse	Discriminative Multimanifold Grassmannian Analysis for Face Recognition With Image Sets
	sparse	Disparity Map from Uncalibrated Infrared Stereo Images
	sparse	Distortionless Modal Beamforming for Spherical Microphone Arrays
	sparse	distributed localized gradient fused features of objects
	sparse	Distributed Multitemporal Hyperspectral Unmixing
	sparse	Document Image Coding for Restoration
	sparse	Domain Gaussianization for Multi-Variate Statistical Modeling of Retinal OCT Images
	sparse	Double Descent in Vision Transformers: Real or Phantom Threat?
	sparse	dyadic mode for depth map compression
	sparse	Dynamic 3D Reconstruction from Unsynchronized Videos
	sparse	Edge Coding Using Overcomplete Gabor Wavelets
	sparse	edit propagation for high resolution image using support vector machines
	sparse	eigentracker augmented by associative mapping to 3D shape
	sparse	embedded dictionary learning on face recognition
	sparse	Embedding and Least Variance Encoding Approach to Hashing, A
	sparse	Embedding Visual Attention Systems Combined with Edge Information
	sparse	Embedding: A Framework for Sparsity Promoting Dimensionality Reduction
	sparse	encoding of binocular images for depth inference
	sparse	Ensemble Learning for Concept Detection
	sparse	ensembles using weighted combination methods based on linear programming
	sparse	Exact PGA on Riemannian Manifolds
	sparse	exponential family Principal Component Analysis
	sparse	extreme learning machine classifier exploiting intrinsic graphs
	sparse	fast Fourier transform for exactly sparse signals and signals with additive Gaussian noise
	sparse	fast Fourier transform for exactly sparse signals and signals with additive Gaussian noise
	sparse	Feature Extraction for Pose-Tolerant Face Recognition
	sparse	feature fidelity for image quality assessment
	sparse	Feature Fidelity for Perceptual Image Quality Assessment
	sparse	Feature Learning for Visual Tracking by Least Absolute Shrinkage and Selection Operator
	sparse	Feature Representation Learning for Deep Face Gender Transfer
	sparse	Feature Selection
	sparse	feature selection based on graph Laplacian for web image annotation
	sparse	feature selection via fast embedding spectral analysis
	sparse	Feature Tracking for Crowd Change Detection and Event Recognition
	sparse	filtered SIRT for electron tomography
	sparse	Finite Element Level-Sets for Anisotropic Boundary Detection in 3D Images
	sparse	Finite Elements for Geodesic Contours with Level-Sets
	sparse	Flexible Models of Local Features
	sparse	Flow: Sparse Matching for Small to Large Displacement Optical Flow
	sparse	Flow: Sparse Matching for Small to Large Displacement Optical Flow
	sparse	fooling images: Fooling machine perception through unrecognizable images
	sparse	Frequency Diverse MIMO Radar Imaging for Off-Grid Target Based on Adaptive Iterative MAP
	sparse	Frequency Waveform Optimization for High-Resolution ISAR Imaging
	sparse	Fuse Dense: Towards High Quality 3D Detection with Depth Completion
	sparse	Gaussian Approach to Region-based 6dof Object Tracking, A
	sparse	Generalised Principal Component Analysis
	sparse	generalized Fourier series via collocation-based optimization
	sparse	Generative Adversarial Network
	sparse	Geometric Image Representations With Bandelets
	sparse	Gradient Image Reconstruction Done Faster
	sparse	Gradient Pursuit for Robust Visual Analysis
	sparse	Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement
	sparse	Granger causality graphs for human action classification
	sparse	Graph Based Deep Learning Networks for Face Recognition
	sparse	Graph Embedding Unsupervised Feature Selection
	sparse	Graph Regularization for Hyperspectral Remote Sensing Image Classification
	sparse	graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data
	sparse	Graph Regularized Mesh Color Edit Propagation
	sparse	graph wavelet convolution neural network for video-based person re-identification, A
	sparse	Graph-Based Discriminant Analysis for Hyperspectral Imagery
	sparse	Graphic Equalizer Design
	sparse	Groups: A Polynomial Middle-Level Approach for Object Recognition
	sparse	Hashing Tracking
	sparse	Hilbert Embedding-Based Statistical Inference of Stochastic Ecological Systems
	sparse	Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification
	sparse	IBR Using Range Space Rendering
	sparse	ICA for blind separation of transmitted and reflected images
	sparse	Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment
	sparse	Image Coding Using a 3D Non-Negative Tensor Factorization
	sparse	image coding with clustering property and its application to face recognition
	sparse	Image Fusion Algorithm With Application to Pan-Sharpening, A
	sparse	image reconstruction by two phase RBM learning: Application to mine planning
	sparse	Image Reconstruction for Molecular Imaging
	sparse	Image Reconstruction for Partially known Blur Functions
	sparse	Image Reconstruction on the Sphere: Analysis and Synthesis
	sparse	Image Reconstruction on the Sphere: Implications of a New Sampling Theorem
	sparse	Image Reconstruction using Sparse Priors
	sparse	Image Reconstruction using Sparse Priors
	sparse	image recovery using compressed sensing over finite alphabets
	sparse	image representation for automated image retrieval, The
	sparse	image representation with epitomes
	sparse	image representations with shift-invariant tree-structured dictionaries
	sparse	image restoration using iterated linear expansion of thresholds
	sparse	Inpainting with Smoothed Particle Hydrodynamics
	sparse	Instance Activation for Real-Time Instance Segmentation
	sparse	Instance Conditioned Multimodal Trajectory Prediction
	sparse	intrinsic decomposition and applications
	sparse	Inverse Covariance Estimates for Hyperspectral Image Classification
	sparse	Inversion for the Iterative Marchenko Scheme of Irregularly Sampled Data
	sparse	Kaczmarz solver and a linearized Bregman method for online compressed sensing, A
	sparse	kernel approximations for efficient classification and detection
	sparse	Kernel Density Construction Using Orthogonal Forward Regression With Leave-One-Out Test Score and Local Regularization
	sparse	kernel feature extraction via support vector learning
	sparse	kernel k-means for high-dimensional data
	sparse	Kernel Learning for Image Set Classification
	sparse	Kernel Machines for Discontinuous Registration and Nonstationary Regularization
	sparse	Kernel Reduced-Rank Regression for Bimodal Emotion Recognition From Facial Expression and Speech
	sparse	kernel relevance model for automatic image annotation, A
	sparse	Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems
	sparse	Kernels for Bayes Optimal Discriminant Analysis
	sparse	Label Assignment for Oriented Object Detection in Aerial Images
	sparse	Label-Indicator Optimization Methods for Image Classification
	sparse	Layered Graphs for Multi-Object Segmentation
	sparse	learning approach to the problem of robust estimation of camera locations
	sparse	learning for support vector classification
	sparse	Learning with Stochastic Composite Optimization
	sparse	Learning-Based Correlation Filter for Robust Tracking
	sparse	least mean p-power algorithms for channel estimation in the presence of impulsive noise
	sparse	least-squares prediction for intra image coding
	sparse	Linear Concept Discovery Models
	sparse	linear model for saliency-guided decolorization, A
	sparse	Linear Models Applied to Power Quality Disturbance Classification
	sparse	linearized iterative coherence estimation (SLICE) and risk assessment in image analysis
	sparse	Local Binary Pattern extraction algorithm applied to event sensor data for object classification, A
	sparse	local discriminant projections for discriminant knowledge extraction and classification
	sparse	Local Discriminant Projections for Feature Extraction
	sparse	Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
	sparse	Locality Preserving Embedding
	sparse	Long-Range Random Field and Its Application to Image Denoising
	sparse	low-rank fusion based deep features for missing modality face recognition
	sparse	Low-Rank Matrix Approximation for Data Compression
	sparse	Lq-norm least squares support vector machine with feature selection
	sparse	Manifold Classification Method Based on a Multi-Dimensional Descriptive Primitive of Polarimetric SAR Image Time Series, A
	sparse	margin based discriminant analysis for face recognition
	sparse	Matrix Beamforming and Image Reconstruction for 2-D HIFU Monitoring Using Harmonic Motion Imaging for Focused Ultrasound (HMIFU) With In Vitro Validation
	sparse	matrix factorization with L2,1 norm for matrix completion
	sparse	Matrix Transform for Covariance Estimation and Analysis of High Dimensional Signals, The
	sparse	matrix transform-based linear discriminant analysis for hyperspectral image classification
	sparse	MDMO: Learning a Discriminative Feature for Micro-Expression Recognition
	sparse	MIMO Array Forward-Looking GPR Imaging Based on Compressed Sensing in Clutter Environment
	sparse	Mix-Attention Transformer for Multispectral Image and Hyperspectral Image Fusion
	sparse	modeling based image inpainting with local similarity constraint
	sparse	Modeling for Image and Vision Processing
	sparse	Modeling of Human Actions from Motion Imagery
	sparse	Modeling of Shape from Structured Light
	sparse	Modeling of Textures
	sparse	modelling and predictive coding of subaperture images for lossless plenoptic image compression
	sparse	models for gender classification
	sparse	molecular image representation
	sparse	motion fields for trajectory prediction
	sparse	Motion Segmentation Using Multiple Six-Point Consistencies
	sparse	MP4
	sparse	MRF Appearance Models for Fast Anatomical Structure Localisation
	sparse	Multi-Bending Snakes
	sparse	Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images
	sparse	Multi-Modal Hashing
	sparse	Multi-Path Corrections in Fringe Projection Profilometry
	sparse	Multi-regularized Shearlet-Network Using Convex Relaxation for Face Recognition
	sparse	Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments
	sparse	Multi-Scale Diffeomorphic Registration: The Kernel Bundle Framework
	sparse	multi-task regression and feature selection to identify brain imaging predictors for memory performance
	sparse	Multi-View Consistency for Object Segmentation
	sparse	multidimensional representation using shearlets
	sparse	Multigraph Embedding for Multimodal Feature Representation
	sparse	Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation
	sparse	multinomial kernel discriminant analysis (sMKDA)
	sparse	Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds
	sparse	Multiple Kernel Learning for Signal Processing Applications
	sparse	Multiscale Algorithm for Dense Optimal Transport, A
	sparse	Multiscale Local Binary Patterns
	sparse	Multiscale Patches for Image Processing
	sparse	natural image statistics and their applications to colorization and compression
	sparse	nearest mean classifier for high dimensional multi-class problems, A
	sparse	Needlets for Lighting Estimation with Spherical Transport Loss
	sparse	Network Completion via Discrete-Constrained Nuclear-Norm Minimization
	sparse	Network Inversion for Key Instance Detection in Multiple Instance Learning
	sparse	non-linear denoising: Generalization performance and pattern reproducibility in functional MRI
	sparse	Non-linear Least Squares Optimization for Geometric Vision
	sparse	Non-local CRF
	sparse	Non-Negative Matrix Factorization for Mesh Segmentation
	sparse	Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRI, A
	sparse	Non-negative Pattern Learning for image representation
	sparse	Non-negative Stencils for Anisotropic Diffusion
	sparse	non-negative tensor factorization using columnwise coordinate descent
	sparse	Nonlinear Electromagnetic Imaging Accelerated With Projected Steepest Descent Algorithm
	sparse	nonnegative dynamic mode decomposition
	sparse	Nonnegative Matrix Factorization for Hyperspectral Unmixing Based on Endmember Independence and Spatial Weighted Abundance
	sparse	nonnegative matrix factorization technique for graph matching problems, A
	sparse	norm regularized attribute selection for graph neural networks
	sparse	Object Category Model for Efficient Learning and Complete Recognition, A
	sparse	Object Category Model for Efficient Learning and Exhaustive Recognition, A
	sparse	Object Representations by Digital Distance Functions
	sparse	Object-level Supervision for Instance Segmentation with Pixel Embeddings
	sparse	Occlusion Detection with Optical Flow
	sparse	Off-the-Grid Computation of the Zeros of STFT
	sparse	One-Grab Sampling with Probabilistic Guarantees
	sparse	Online Co-regularization Using Conjugate Functions
	sparse	Optical Flow Computation Using Wave Equation-Based Energy
	sparse	Optimization for Motion Segmentation
	sparse	optimization of non separable vector lifting scheme for stereo image coding
	sparse	orthonormal transforms for image compression
	sparse	Output Coding for Large-Scale Visual Recognition
	sparse	Output Coding for Scalable Visual Recognition
	sparse	over-complete patch matching
	sparse	Overcomplete Denoising: Aggregation Versus Global Optimization
	sparse	Overcomplete Gabor Wavelet Representation Based on Local Competitions
	sparse	Parallel Electronic Bowel Cleansing in CT Colonography
	sparse	Patch Coding for 3D Model Retrieval
	sparse	Patch-Based Label Fusion for Multi-Atlas Segmentation
	sparse	Patch-Based Label Propagation for Accurate Prostate Localization in CT Images
	sparse	patch-based representation with combined information of atlas for multi-atlas label fusion
	sparse	Patch-Guided Deformation Estimation for Improved Image Registration
	sparse	Patch-Histograms for Object Classification in Cluttered Images
	sparse	PCA via L_2,p-Norm Regularization for Unsupervised Feature Selection
	sparse	PCA: Extracting Multi-scale Structure from Data
	sparse	PDE for SAR image speckle suppression
	sparse	Phase Retrieval from Short-Time Fourier Measurements
	sparse	Photometric 3D Face Reconstruction Guided by Morphable Models
	sparse	Pixel Recognition of Primitives in Engineering Drawings
	sparse	pixel sampling for appearance edit propagation
	sparse	Pixel Tracking: A Fast Vectorization Algorithm Applied to Engineering Drawings
	sparse	Pixel Vectorization: An Algorithm and Its Performance Evaluation
	sparse	Point Cloud Densification by Combining Multiple Segmentation Methods
	sparse	Point Cloud Filtering Based On Covariance Features
	sparse	Point Estimation for Bayesian Regression via Simulated Annealing
	sparse	Point Guided 3D Lane Detection
	sparse	point-voxel aggregation network for efficient point cloud semantic segmentation
	sparse	Poisson Noisy Image Deblurring
	sparse	Pose Regression via Componentwise Clustering Feature Point Representation
	sparse	possibilistic c-means clustering with Lasso
	sparse	prediction for compression of stereo color images conditional on constant disparity patches
	sparse	Principal Component Analysis With Preserved Sparsity Pattern
	sparse	probabilistic learning algorithm for real-time tracking, A
	sparse	probabilistic regression for activity-independent human pose inference
	sparse	projections for high-dimensional binary codes
	sparse	ptychographical coherent diffractive imaging from noisy measurements
	sparse	Quadratic Approximation for Graph Learning
	sparse	Quantization for Patch Description
	sparse	R-CNN: An End-to-End Framework for Object Detection
	sparse	R-CNN: End-to-End Object Detection with Learnable Proposals
	sparse	radial sampling LBP for writer identification
	sparse	random projection isolation forest for outlier detection
	sparse	Range-Constrained Learning and Its Application for Medical Image Grading
	sparse	re-id: Block sparsity for person re-identification
	sparse	reconstruction cost for abnormal event detection
	sparse	reconstruction from Multiple-Angle Total Internal Reflection fluorescence Microscopy
	sparse	Reconstruction of Log-Conductivity in Current Density Impedance Tomography
	sparse	Reconstruction of the Magnetic Particle Imaging System Matrix
	sparse	Recovery by Means of Nonnegative Least Squares
	sparse	recovery for discrete tomography
	sparse	Recovery From Multiple Measurement Vectors Using Exponentiated Gradient Updates
	sparse	Recovery in Magnetic Resonance Imaging With a Markov Random Field Prior
	sparse	recovery of complex phase-encoded velocity images using iterative thresholding
	sparse	Recovery of Hyperspectral Signal from Natural RGB Images
	sparse	Recovery on Intrinsic Mode Functions for the Micro-Doppler Parameters Estimation of Small UAVs
	sparse	Recovery-Based Error Concealment
	sparse	recursive filtering for O(1) stereo matching
	sparse	Registration for Three-Dimensional Stress Echocardiography
	sparse	regression analysis for object recognition
	sparse	regularization for semi-supervised classification
	sparse	Regularization of Interferometric Phase and Amplitude for InSAR Image Formation Based on Bayesian Representation
	sparse	Regularization of TV-L1 Optical Flow
	sparse	Regularization with a Non-Convex Penalty for SAR Imaging and Autofocusing
	sparse	regularized low-rank tensor regression with applications in genomic data analysis
	sparse	regularized nuclear norm based matrix regression for face recognition with contiguous occlusion, A
	sparse	Relational Topical Coding on multi-modal data
	sparse	representation and adaptive mixed samples regression for single image super-resolution
	sparse	Representation and Low-Rank Approximation for Robust Face Recognition
	sparse	representation and smoothed L0 algorithm for face recognition, The
	sparse	Representation and Weighted Clustering Based Abnormal Behavior Detection
	sparse	representation approach to face matching across plastic surgery, A
	sparse	representation based action and gesture recognition
	sparse	representation based anomaly detection with enhanced local dictionaries
	sparse	Representation Based Autofocusing Technique for ISAR Images
	sparse	representation based band selection for hyperspectral images
	sparse	Representation Based Classification Algorithm for Chinese Food Recognition, A
	sparse	Representation Based Classification for Face Recognition by k-LiMapS Algorithm
	sparse	Representation Based Complete Kernel Marginal Fisher Analysis Framework for Computational Art Painting Categorization
	sparse	representation based computed tomography images reconstruction by coupled dictionary learning algorithm
	sparse	Representation Based Face Recognition with Limited Labeled Samples
	sparse	Representation Based Fisher Discrimination Dictionary Learning for Image Classification
	sparse	Representation Based Image Interpolation With Nonlocal Autoregressive Modeling
	sparse	representation based intraframe and semi-intraframe video coding schemes for low bitrates
	sparse	representation based iterative incremental image deblurring
	sparse	Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor, A
	sparse	representation based multi-frame image super-resolution reconstruction using adaptive weighted features
	sparse	representation based on vector extension of reduced quaternion matrix for multiscale image denoising
	sparse	Representation Based Projections
	sparse	representation based visual element analysis
	sparse	representation classification with manifold constraints transfer
	sparse	Representation Classifier Guided Grassmann Reconstruction Metric Learning With Applications to Image Set Analysis
	sparse	Representation Classifier Steered Discriminative Projection
	sparse	representation denoising algorithm for visible and infrared image based on orthogonal matching pursuit, A
	sparse	Representation for 3D Shape Estimation: A Convex Relaxation Approach
	sparse	representation for blind image quality assessment
	sparse	Representation for Brain Signal Processing: A tutorial on methods and applications
	sparse	Representation for Coarse and Fine Object Recognition
	sparse	Representation for Color Image Restoration
	sparse	Representation for Color Image Super-Resolution with Image Quality Difference Evaluation
	sparse	Representation for Computer Vision and Pattern Recognition
	sparse	Representation for Ear Biometrics
	sparse	representation for face recognition based on discriminative low-rank dictionary learning
	sparse	representation for face recognition by discriminative low-rank matrix recovery
	sparse	representation for face recognition: A review paper
	sparse	representation for motion primitive-based human activity modeling and recognition using wearable sensors
	sparse	Representation for Robust Abnormality Detection in Crowded Scenes
	sparse	representation for robust face recognition by dictionary decomposition
	sparse	Representation for Speaker Identification
	sparse	Representation for Video-Based Face Recognition
	sparse	Representation for Wireless Communications: A Compressive Sensing Approach
	sparse	representation method with maximum probability of partial ranking for face recognition, A
	sparse	Representation Model Using the Complete Marginal Fisher Analysis Framework and Its Applications to Visual Recognition, A
	sparse	representation of (Multiscale) histograms for face recognition robust to registration and illumination problems
	sparse	representation of a blur kernel for out-of-focus blind image restoration
	sparse	representation of astronomical images
	sparse	representation of audio features for sputum detection from lung sounds
	sparse	representation of cast shadows via L1-regularized least squares
	sparse	Representation of Images using Overlapping Frames
	sparse	representation of images with hybrid linear models
	sparse	Representation of Monogenic Signal: With Application to Target Recognition in SAR Images
	sparse	representation of texture patches for low bit-rate image compression
	sparse	representation or collaborative representation: Which helps face recognition?
	sparse	representation over discriminative dictionary for stereo matching
	sparse	Representation Over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer
	sparse	Representation Preserving for Unsupervised Feature Selection
	sparse	Representation Prior and Total Variation-Based Image Deblurring under Impulse Noise
	sparse	representation shape model
	sparse	Representation Shape Models
	sparse	representation using nonnegative curds and whey
	sparse	Representation Using Stepwise Tikhonov Regularization With Offline Computations
	sparse	Representation Wavelet Based Classification
	sparse	Representation With Kernels
	sparse	representation with multi-manifold analysis for texture classification from few training images
	sparse	Representation With Spatio-Temporal Online Dictionary Learning for Promising Video Coding
	sparse	representation-based algorithm for joint SAR image formation and autofocus
	sparse	Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images
	sparse	Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images, A
	sparse	representation-based classification: Orthogonal least squares or orthogonal matching pursuit?
	sparse	representation-based face recognition against expression and illumination
	sparse	Representation-Based Human Detection: A Scale-Embedded dictionary approach
	sparse	representation-based hyperspectral image classification
	sparse	representation-based image quality assessment
	sparse	Representation-Based Image Quality Index With Adaptive Sub-Dictionaries
	sparse	Representation-Based Intra Prediction for Lossless/Near Lossless Video Coding
	sparse	Representation-Based Multiple Frame Video Super-Resolution
	sparse	Representation-Based Open Set Recognition
	sparse	Representation-Based Radiomics for the Diagnosis of Brain Tumors
	sparse	Representation-Based Sample Pseudo-Labeling Method for Hyperspectral Image Classification, A
	sparse	Representation-Based Super Resolution for Face Recognition At a Distance
	sparse	Representation-Based Video Quality Assessment for Synthesized 3D Videos
	sparse	Representations and Compressive Sensing for Imaging and Vision
	sparse	representations and Random Projections for robust and cancelable biometrics
	sparse	representations for facial expressions recognition via L1 optimization
	sparse	representations for image and video analysis
	sparse	Representations for Image Decomposition with Occlusions
	sparse	Representations for Image Decompositions
	sparse	Representations for Range Data Restoration
	sparse	representations for spatial prediction and texture refinement
	sparse	representations in deep learning for noise-robust digit classification
	sparse	representations of image gradient orientations for visual recognition and tracking
	sparse	residue for occluded face image reconstruction and classification
	sparse	Resultant Based Method for Efficient Minimal Solvers, A
	sparse	Road Network Model for Autonomous Navigation Using Clothoids
	sparse	Robust Adaptive Filtering Algorithm Based on the q-Renyi Kernel Function, A
	sparse	robust model for large scale multi-class classification based on K-SVCR, A
	sparse	sample collection and representation method using re-weighting and dynamically updating OMP for fish tracking, A
	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	SAR Imaging Algorithm in Marine Environments Based on Memory-Augmented Deep Unfolding Network
	sparse	SAR Imaging and Quantitative Evaluation Based on Nonconvex and TV Regularization
	sparse	SAR Imaging Method Based on Multiple Measurement Vectors Model, A
	sparse	SAR Imaging Method for Ground Moving Target via GMTSI-Net
	sparse	SAR Imaging Method for Low-Oversampled Staggered Mode via Compound Regularization, A
	sparse	Scene Recovery for High-Resolution Automobile FMCW SAR via Scaled Compressed Sensing
	sparse	scene structure recovery from atmospheric degradation
	sparse	self-attention transformer for image inpainting
	sparse	semi-supervised heterogeneous interbattery bayesian analysis
	sparse	semi-supervised learning for perceptual grouping
	sparse	sequence recovery via a maximum a posteriori estimation
	sparse	shape composition: A new framework for shape prior modeling
	sparse	Shape Reconstruction
	sparse	shape registration for occluded facial feature localization
	sparse	shape representation using the Laplace-Beltrami eigenfunctions and its application to modeling subcortical structures
	sparse	shapes prototype modeling using genetic algorithms
	sparse	shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease
	sparse	shift-DCT spatial prediction
	sparse	shift-invariant NMF
	sparse	shift-invariant representation of local 2D patterns and sequence learning for human action recognition
	sparse	Signal Detection for Space Shift Keying Using the Monte Carlo EM Algorithm
	sparse	Signal Models for Data Augmentation in Deep Learning ATR
	sparse	Signal Reconstruction Using Blind Super-Resolution With Arbitrary Sampling
	sparse	Signal Reconstruction Via Iterative Support Detection
	sparse	signal reconstruction with multiple side information using adaptive weights for multiview sources
	sparse	signal recovery based on nonconvex entropy minimization
	sparse	Signal Recovery by L_q Minimization Under Restricted Isometry Property
	sparse	Signal Recovery from a Mixture of Linear and Magnitude-Only Measurements
	sparse	Signal Recovery in MIMO Specular Meteor Radars With Waveform Diversity
	sparse	Signal Recovery Methods for Multiplexing PET Detector Readout
	sparse	signal recovery via infimal convolution based penalty
	sparse	Signal Recovery via Multi-Residual Based Greedy Method
	sparse	Signal Recovery via Optimized Orthogonal Matching Pursuit
	sparse	similarity metric learning for kinship verification
	sparse	Similarity-Based Fisherfaces
	sparse	Source Separation of Non-instantaneous Spatially Varying Single Path Mixtures
	sparse	Sparse Bundle Adjustment
	sparse	Sparse Bundle Adjustment
	sparse	Spatial Attention Network for Semantic Segmentation
	sparse	Spatial Coding: A Novel Approach to Visual Recognition
	sparse	Spatio-spectral Representation for Hyperspectral Image Super-resolution
	sparse	Spatio-Temporal Representation With Adaptive Regularized Dictionary Learning for Low Bit-Rate Video Coding
	sparse	spectral hashing
	sparse	Spectral Unmixing of Hyperspectral Images using Expectation-Propagation
	sparse	Statistical Deformation Model for the Analysis of Craniofacial Malformations in the Crouzon Mouse
	sparse	stereo by edge-based search using dynamic programming
	sparse	Stereo Disparity Map Densification Using Hierarchical Image Segmentation
	sparse	stereo image coding with learned dictionaries
	sparse	stereo matching using belief propagation
	sparse	Stochastic Processes and Discretization of Linear Inverse Problems
	sparse	structure deep network embedding for transforming brain functional network in early mild cognitive impairment classification
	sparse	structure for fast circle detection, A
	sparse	Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data, A
	sparse	Structures in L-Infinity Norm Minimization for Structure and Motion Reconstruction
	sparse	Subband Imaging of Space Targets in High-Speed Motion
	sparse	subspace clustering
	sparse	Subspace Clustering for Incomplete Images
	sparse	subspace clustering via smoothed LP minimization
	sparse	Subspace Clustering With Sequentially Ordered and Weighted L1-Minimization†
	sparse	Subspace Clustering-Based Feature Extraction for PolSAR Imagery Classification
	sparse	Subspace Clustering: Algorithm, Theory, and Applications
	sparse	Subspace Denoising for Image Manifolds
	sparse	Support Matrix Machine
	sparse	Support Vector Machine Approach to Region-Based Image Categorization, A
	sparse	SVM for Sufficient Data Reduction
	sparse	Temporal Representations for Facial Expression Recognition
	sparse	tensor discriminant analysis
	sparse	tensor recovery via combined first and second order high-accuracy total variation
	sparse	Tensor-Based Multiscale Representation for Point Cloud Geometry Compression
	sparse	Texture Active Contour
	sparse	texture representation using affine-invariant regions, A
	sparse	Texture Representation Using Local Affine Regions, A
	sparse	Tikhonov-Regularized Hashing for Multi-Modal Learning
	sparse	Time-Frequency Decomposition and Some Applications
	sparse	time-frequency distributions based on the L1-norm minimization with the fast intersection of confidence intervals rule
	sparse	to Dense 3D Reconstruction from Rolling Shutter Images
	sparse	to Dense Dynamic 3D Facial Expression Generation
	sparse	to Dense Motion Transfer for Face Image Animation
	sparse	to Dense Scene Flow Estimation From Light Fields
	sparse	transfer for facial shape-from-shading
	sparse	Transfer Manifold Embedding for Hyperspectral Target Detection
	sparse	tree structured representation for re-identification
	sparse	U-PDP: A Unified Multi-Task Framework for Panoptic Driving Perception
	sparse	Uniform Linear Array DOA Estimation Algorithm for FMCW Radar, A
	sparse	Unmixing for Hyperspectral Image with Nonlocal Low-Rank Prior
	sparse	Unmixing of Hyperspectral Data
	sparse	unmixing of hyperspectral data based on robust linear mixing model
	sparse	Unmixing of Hyperspectral Data Using Spectral A Priori Information
	sparse	Unmixing of Hyperspectral Data with Noise Level Estimation
	sparse	unmixing via variable splitting and augmented Lagrangian for vegetation and urban area classification using Landsat data
	sparse	Unsupervised Dimensionality Reduction for Multiple View Data
	sparse	Update for Loopy Belief Propagation: Fast Dense Registration for Large State Spaces
	sparse	Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person
	sparse	Variation Pattern for Texture Classification
	sparse	Vehicular Sensor Networks for Traffic Dynamics Reconstruction
	sparse	version of the ridge logistic regression for large-scale text categorization, A
	sparse	view stereo matching
	sparse	Voxel Octree-Based Framework for Computing Solar Radiation Using 3D City Models, A
	sparse	Wavelet Auto-Encoders for Image Classification
	sparse	Wavelet Networks
	sparse	Wavelet Representations of Spatially Varying Blurring Operators
	sparse	weakly supervised models for object localization in road environment
	sparse	Weighted Constrained Energy Minimization for Accurate Remote Sensing Image Target Detection
	sparse	, collaborative, or nonnegative representation: Which helps pattern classification?
	sparse	, Opaque 3-Dimensional Texture, 2A: Visibility
	sparse	, Opaque 3-Dimensional Texture, 2B: Photometry
	sparse	, Opaque Three-Dimensional Texture. I. Arborescent Patterns
	sparse	, Quantized, Full Frame CNN for Low Power Embedded Devices
	sparse	, Smart Contours to Represent and Edit Images
	sparse	, variable-representation active contour models
	sparse	-based reconstruction of missing information in remote sensing images from spectral/temporal complementary information
	sparse	-Based Transformer Network With Associated Spatiotemporal Feature for Micro-Expression Recognition, A
	sparse	-coded cross-domain adaptation from the visual to the brain domain
	sparse	-Dense Subspace Clustering
	sparse	-Distinctive Saliency Detection
	sparse	-E2VID: A Sparse Convolutional Model for Event-Based Video Reconstruction Trained with Real Event Noise
	sparse	-E2VID: A Sparse Convolutional Model for Event-Based Video Reconstruction Trained with Real Event Noise
	sparse	-induced similarity measure: mono-modal image registration via sparse-induced similarity measure
	sparse	-induced similarity measure: mono-modal image registration via sparse-induced similarity measure
	sparse	-Model-Driven Network for Efficient and High-Accuracy InSAR Phase Filtering, A
	sparse	-MVRVMs Tree for Fast and Accurate Head Pose Estimation in the Wild
	sparse	-parametric writer identification using heterogeneous feature groups
	sparse	-plus-dense-RANSAC for estimation of multiple complex curvilinear models in 2D and 3D
	sparse	-Promoting 3-D Airborne Electromagnetic Inversion Based on Shearlet Transform
	sparse	-Representation-Based Graph Embedding for Traffic Sign Recognition
	sparse	-response deep belief network based on rate distortion theory, A
	sparse	-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations
	sparse	-smooth decomposition models for multi-temporal SAR images
	sparse	-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots
	sparse	-to-dense Depth Completion Revisited: Sampling Strategy and Graph Construction
	sparse	-to-Dense Depth Estimation in Videos via High-Dimensional Tensor Voting
	sparse	-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation
	sparse	-to-Dense Hypercolumn Matching for Long-Term Visual Localization
	sparse	-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration
	sparse	-to-Local-Dense Matching for Geometry-Guided Correspondence Estimation
	sparse	-View CT Image Recovery Using Two-Step Iterative Shrinkage-Thresholding Algorithm
	sparse	-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution, A
	sparse	-View CT Reconstruction Using Curvelet and TV-Based Regularization
	sparse	-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty
	sparse	-view statistical iterative head CT image reconstruction via joint regularization
	sparse	/DCT (S/DCT) Two-Layered Representation of Prediction Residuals for Video Coding
	sparse	BEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos
	sparse	Fusion: Dynamic Human Avatar Modeling From Sparse RGBD Images
	sparse	Fusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
	sparse	MAE: Sparse Training Meets Masked Autoencoders
	sparse	NeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views
	sparse	Pose: Sparse-View Camera Pose Regression and Refinement
Sparsifiner: Learning	sparse	Instance-Dependent Attention for Efficient Vision Transformers
Spatial and Class Structure Regularized	sparse	Representation Graph for Semi-Supervised Hyperspectral Image Classification
Spatial and Spectral Image Fusion Using	sparse	Matrix Factorization
Spatial Discontinuity-Weighted	sparse	Unmixing of Hyperspectral Images
Spatial pyramid alignment for	sparse	coding based object classification
Spatial Reflectance Recovery under Complex Illumination from	sparse	Images
Spatial relationships over	sparse	representations
Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian	sparse	Representation
Spatial temporal pyramid matching using temporal	sparse	representation for human motion retrieval
Spatial Transformation of DWI Data Using Non-Negative	sparse	Representation
Spatial Upscaling of	sparse	Soil Moisture Observations Based on Ridge Regression
Spatial-spectral feature based approach towards convolutional	sparse	coding of hyperspectral images
Spatial-Spectral Graph Regularized Kernel	sparse	Representation for Hyperspectral Image Classification
Spatial-Spectral Structured	sparse	Low-Rank Representation for Hyperspectral Image Super-Resolution
Spatially constrained	sparse	coding scheme for natural scene categorization
Spatially constrained	sparse	regression for the data-driven discovery of Neuroimaging biomarkers
Spatially	sparse	, Temporally Smooth MEG Via Vector L_0
Spatio-spectral reconstruction of the multispectral datacube using	sparse	recovery
Spatio-Temporal Convolutional	sparse	Auto-Encoder for Sequence Classification
Spatio-temporal enhanced	sparse	feature selection for video saliency estimation
Spatiotemporal Learning via Mixture Importance Gaussian Filtering With	sparse	Regularization
Spatiotemporal Reflectance Fusion via	sparse	Representation
Speaker Identification and Verification Using Support Vector Machines and	sparse	Kernel Logistic Regression
Species-preserved Structural Connections Revealed by	sparse	Tensor CCA
Speckle noise reduction via phase-aware clustering-based non-local simultaneous	sparse	coding
Speckle Suppression Based on	sparse	Representation with Non-Local Priors
Spectral Analysis Driven	sparse	Matching of 3D Shapes
Spectral Bounds for	sparse	PCA: Exact and Greedy Algorithms
Spectral Image Fusion From Compressive Measurements Using Spectral Unmixing and a	sparse	Representation of Abundance Maps
Spectral Methods for 3-D Motion Segmentation of	sparse	Scene-Flow
Spectral Superresolution of Multispectral Imagery With Joint	sparse	and Low-Rank Learning
Spectral Unmixing Using a	sparse	Multiple-Endmember Spectral Mixture Model
Spectral-Spatial Adaptive	sparse	Representation for Hyperspectral Image Denoising
Spectral-Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based	sparse	Representation
Spectral-Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative	sparse	Model
Spectral-Spatial Hyperspectral Image Classification Using a Multiscale Conservative Smoothing Scheme and Adaptive	sparse	Representation
Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive	sparse	Representation
Spectral-spatial hyperspectral image ensemble classification via joint	sparse	representation
Spectral-Spatial Joint	sparse	NMF for Hyperspectral Unmixing
Spectral-Spatial	sparse	Subspace Clustering for Hyperspectral Remote Sensing Images
Spectral-Spatial Weighted	sparse	Regression for Hyperspectral Image Unmixing
Spectral-Spatial-Weighted Multiview Collaborative	sparse	Unmixing for Hyperspectral Images
Spectrally-Spatially Regularized Low-Rank and	sparse	Decomposition: A Novel Method for Change Detection in Multitemporal Hyperspectral Images
Spectrum-Based Saliency Detection Algorithm for Millimeter-Wave InSAR Imaging with	sparse	Sensing, A
Specular surface reconstruction from	sparse	reflection correspondences
Speeding Up Graph Regularized	sparse	Coding by Dual Gradient Ascent
Spherical Center-Surround for Video Saliency Detection Using	sparse	Sampling
Spherical Designs and Nonconvex Minimization for Recovery of	sparse	Signals on the Sphere
Spike-and-Slab RBM and Extensions to Discrete and	sparse	Data Distributions, The
SPLATNet:	sparse	Lattice Networks for Point Cloud Processing
SPLINE-Net:	sparse	Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks
Split Bregman algorithms for	sparse	/joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging
Split Bregman algorithms for	sparse	/joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging
SpVOS: Efficient Video Object Segmentation With Triple	sparse	Convolution
Sr-LDA:	sparse	and Reduced-Rank Linear Discriminant Analysis for High Dimensional Matrix
SRAGL-AWCL: A two-step multi-view clustering via	sparse	representation and adaptive weighted cooperative learning
SRI3D: Two-stream inflated 3D ConvNet based on	sparse	regularization for action recognition
SRL-SOA: Self-Representation Learning with	sparse	1D-Operational Autoencoder for Hyperspectral Image Band Selection
SRP-AKAZE: an improved accelerated KAZE algorithm based on	sparse	random projection
SRT3D: A	sparse	Region-Based 3D Object Tracking Approach for the Real World
SSGP:	sparse	Spatial Guided Propagation for Robust and Generic Interpolation
SSL-Net:	sparse	semantic learning for identifying reliable correspondences
SSN: Learning	sparse	Switchable Normalization via SparsestMax
SSN: Learning	sparse	Switchable Normalization via SparsestMax
SSP: Supervised	sparse	Projections for Large-Scale Retrieval in High Dimensions
SSPARED: Saliency and	sparse	code analysis for rare event detection in video
SSR2:	sparse	signal recovery for single-image super-resolution on faces with extreme low resolutions
SSSC-AM: A unified framework for video co-segmentation by structured	sparse	subspace clustering with appearance and motion features
SST-VLM:	sparse	Sampling-twice Inspired Video-language Model
SSTNet: Saliency	sparse	transformers network with tokenized dilation for salient object detection
SSTVOS:	sparse	Spatiotemporal Transformers for Video Object Segmentation
SSVOD: Semi-Supervised Video Object Detection with	sparse	Annotations
Stable and compact face recognition via unlabeled data driven	sparse	representation-based classification
Stacked Predictive	sparse	Coding for Classification of Distinct Regions in Tumor Histopathology
Stacked Predictive	sparse	Decomposition for Classification of Histology Sections
Stacked	sparse	Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
Stacked	sparse	Autoencoder for Audio Object Coding
Stacked	sparse	Autoencoder-Based Detector for Automatic Identification of Neuromagnetic High Frequency Oscillations in Epilepsy, A
Stagewise K-SVD to Design Efficient Dictionaries for	sparse	Representations
STAR:	sparse	Thresholded Activation under partial-Regularization for Activation Sparsity Exploration
STAR:	sparse	Trained Articulated Human Body Regressor
statistical approach to	sparse	multi-scale phase-based stereo, A
statistical method for robust 3D surface reconstruction from	sparse	data, A
Statistical performance of convex low-rank and	sparse	tensor recovery
Statistical Prediction Model Based on	sparse	Representations for Single Image Super-Resolution, A
Statistically Driven	sparse	Image Approximation
Statistics of Wavelet Coefficients for	sparse	Self-Similar Images
Statistics on Temporal Changes of	sparse	Coding Coefficients in Spatial Pyramids for Human Action Recognition
STD:	sparse	-to-Dense 3D Object Detector for Point Cloud
Stepwise Optimal Subspace Pursuit for Improving	sparse	Recovery
Stereo DSO: Large-Scale Direct	sparse	Visual Odometry with Stereo Cameras
Stereo Radiance Fields (SRF): Learning View Synthesis for	sparse	Views of Novel Scenes
Stereoscopic view synthesis based on region-wise rendering and	sparse	representation
Stitch-Based Image Stylization for Thread Art Using	sparse	Modeling
STMixer: A One-Stage	sparse	Action Detector
Stochastic	sparse	Subspace Clustering
STPCA:	sparse	tensor Principal Component Analysis for feature extraction
Strategies of Dictionary Usages for	sparse	Representations for Pedestrian Classification
strategy of classification via	sparse	dictionary learned by non-negative K-SVD, A
Stripe noise removal of remote sensing image with a directional L_0	sparse	model
Strivec:	sparse	Tri-Vector Radiance Fields
Strong Impossibility Results for	sparse	Signal Processing
Structural	sparse	Coding Seeds: Active appearance model for object tracking
Structural	sparse	representation with class-specific dictionary for ECG biometric recognition
Structural	sparse	representation-based semi-supervised learning and edge detection proposal for visual tracking
Structural	sparse	Tracking
Structure and Motion from a	sparse	Set of Views
Structure and motion from line correspondences: Representation, projection, initialization and	sparse	bundle adjustment
Structure from motion:	sparse	versus dense correspondence methods
Structure-Aware Local	sparse	Coding for Visual Tracking
Structure-constrained low-rank and partial	sparse	representation for image classification
Structure-Constrained Low-Rank and Partial	sparse	Representation with Sample Selection for image classification
Structure-Preserving Color Normalization and	sparse	Stain Separation for Histological Images
Structure-Preserving	sparse	Decomposition for Facial Expression Analysis
Structured and	sparse	Canonical Correlation Analysis as a Brain-Wide Multi-Modal Data Fusion Approach
Structured group local	sparse	tracker
Structured	sparse	coding for image representation based on L1-graph
Structured	sparse	Coding-Based Hyperspectral Imagery Denoising With Intracluster Filtering
Structured	sparse	Error Coding for Face Recognition With Occlusion
Structured	sparse	K-means clustering via Laplacian smoothing
Structured	sparse	Linear Discriminant Analysis
Structured	sparse	Method for Hyperspectral Unmixing
Structured	sparse	Principal Components Analysis With the TV-Elastic Net Penalty
Structured	sparse	Priors for Image Classification
Structured	sparse	R-CNN for Direct Scene Graph Generation
Structured	sparse	Subspace Clustering with Within-Cluster Grouping
Structured	sparse	Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework
Structured	sparse	Subspace Clustering: A unified optimization framework
Study of Convolutional	sparse	Feature Learning for Human Age Estimate, A
Sub clustering K-SVD: Size variable dictionary learning for	sparse	representations
Subdictionary-Based Joint	sparse	Representation for SAR Target Recognition Using Multilevel Reconstruction
Subject Adaptive Affection Recognition via	sparse	Reconstruction
Subject Specific	sparse	Dictionary Learning for Atlas Based Brain MRI Segmentation
Submodular dictionary learning for	sparse	coding
Subspace Clustering Constrained	sparse	NMF for Hyperspectral Unmixing
Subspace Clustering Through Parametric Representation and	sparse	Optimization
Subspace clustering via stacked independent subspace analysis networks with	sparse	prior information
Subspace Clustering with Priors via	sparse	Quadratically Constrained Quadratic Programming
Subspace Matching Pursuit for	sparse	Unmixing of Hyperspectral Data
Substance Dependence Constrained	sparse	NMF for Hyperspectral Unmixing
Successive Hypothesis Testing Based	sparse	Signal Recovery and Its Application to MUD in Random Access
Sufficient Conditions on Stable Recovery of	sparse	Signals With Partial Support Information
Sum-Difference Expansion Scheme for	sparse	Array Construction Based on the Fourth-Order Difference Co-Array, A
SUnGP: A Greedy	sparse	Approximation Algorithm for Hyperspectral Unmixing
Super Augmented Nested Arrays: A New	sparse	Array for Improved DOA Estimation Accuracy
Super Resolution Imaging via	sparse	Interpolation in Wavelet Domain with Implementation in DSP and GPU
Super	sparse	3D Object Detection
Super-Resolution and	sparse	View CT Reconstruction
Super-Resolution Compressed Sensing: An Iterative Reweighted Algorithm for Joint Parameter Learning and	sparse	Signal Recovery
Super-resolution hyperspectral imaging with unknown blurring by low-rank and group-	sparse	modeling
super-resolution method based on local	sparse	and global gradient, A
Super-resolution of MR volumetric images using	sparse	representation and self-similarity
Super-Resolution	sparse	Aperture ISAR Sensors Imaging Algorithm via the MUSIC Technique, A
Super-resolution via Transform-Invariant Group-	sparse	Regularization
Super-Resolution With	sparse	Mixing Estimators
Super-	sparse	Regression for Fast Age Estimation from Faces at Test Time
Superimposed	sparse	Parameter Classifiers for Face Recognition
Superpixel based Feature Specific	sparse	Representation for Spectral-Spatial Classification of Hyperspectral Images
Superpixel Guided Deep-	sparse	-Representation Learning for Hyperspectral Image Classification
Superpixel Nonlocal Weighting Joint	sparse	Representation for Hyperspectral Image Classification
Superpixel-based feature learning for joint	sparse	representation of hyperspectral images
Superpixel-Based Reweighted Low-Rank and Total Variation	sparse	Unmixing for Hyperspectral Remote Sensing Imagery
Superresolution for UAV Images via Adaptive Multiple	sparse	Representation and Its Application to 3-D Reconstruction
Superresolution ISAR Imaging Based on	sparse	Bayesian Learning
Supervised class-specific dictionary learning for	sparse	modeling in action recognition
Supervised Deep	sparse	Coding Networks
Supervised Deep	sparse	Coding Networks for Image Classification
Supervised Dictionary Learning for Blind Image Quality Assessment Using Quality-Constraint	sparse	Coding
Supervised Hyperspectral Image Classification Combining	sparse	Unmixing and Spatial Constraint
Supervised local	sparse	coding of sub-image features for image retrieval
Supervised Monaural Speech Enhancement Using Complementary Joint	sparse	Representations
Supervised	sparse	Coding With Decision Forest
Supervised	sparse	neighbourhood preserving embedding
Supervised	sparse	Patch Coding towards Misalignment-Robust Face Recognition
Supervised transfer kernel	sparse	coding for image classification
Supervised translation-invariant	sparse	coding
Support Vector Regression of	sparse	Dictionary-Based Features for View-Independent Action Unit Intensity Estimation
SUPR: A	sparse	Unified Part-Based Human Representation
Surface and Motion Estimation from	sparse	Range Data
Surface interpolation from	sparse	cross sections using region correspondence
Surface Oxide Detection and Characterization Using	sparse	Unmixing on Hyperspectral Images
Surface reconstruction from a	sparse	point cloud by enforcing visibility consistency and topology constraints
Surface Reconstruction from	sparse	Fringe Contours
Surface-Consistent	sparse	Multichannel Blind Deconvolution of Seismic Signals
SurfaceNet+: An End-to-end 3D Neural Network for Very	sparse	Multi-View Stereopsis
Survey of	sparse	and non-sparse methods in source separation
Survey of	sparse	and non-sparse methods in source separation
SVASeg:	sparse	Voxel-Based Attention for 3D LiDAR Point Cloud Semantic Segmentation
SViTT: Temporal Learning of	sparse	Video-Text Transformers
SVQNet:	sparse	Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation
Swarm Intelligence Algorithm for Joint	sparse	Recovery, A
SWFormer:	sparse	Window Transformer for 3D Object Detection in Point Clouds
SWIFT:	sparse	Withdrawal of Inliers in a First Trial
SwinBERT: End-to-End Transformers with	sparse	Attention for Video Captioning
switchable light field camera architecture with Angle Sensitive Pixels and dictionary-based	sparse	coding, A
Symmetric	sparse	Representation Based Band Selection Method for Hyperspectral Imagery Classification, A
Synthetic Generation of Myocardial Blood: Oxygen-Level-Dependent MRI Time Series Via Structural	sparse	Decomposition Modeling
System Identification With	sparse	Coprime Sensing
systematic evaluation of coding strategies for	sparse	binary images, A
S^3CA: A	sparse	Strip Spectral Correlation Analyzer
Tackling the Background Bias in	sparse	Object Detection via Cropped Windows
Target Classification and Identification Using	sparse	Model Representations of Frequency-Domain Electromagnetic Induction Sensor Data
Target Localization in High-Coherence Multipath Environment Based on Low-Rank Decomposition and	sparse	Representation
Target recognition in SAR images via	sparse	representation in the frequency domain
Targeted Incorporating Spatial Information in	sparse	Subspace Clustering of Hyperspectral Remote Sensing Images
Template regularized	sparse	coding for face verification
Temporal Restricted Visual Tracking Via Reverse-Low-Rank	sparse	Learning
Temporal	sparse	adversarial attack on sequence-based gait recognition
Temporal	sparse	Promoting Three Dimensional Imaging of Cardiac Activation
Temporal Stability of Grassland Soil Moisture Utilising Sentinel-2 Satellites and	sparse	Ground-Based Sensor Networks
Temporal-adaptive	sparse	feature aggregation for video object detection
Tensor completion via convolutional	sparse	coding with small samples-based training
Tensor low-rank and	sparse	light field photography
Tensor	sparse	Coding for Positive Definite Matrices
Tensor	sparse	Coding for Region Covariances
Tensor-Based	sparse	Representation Classification for Urban Airborne LiDAR Points
Tensor-based	sparse	representations of multi-phase medical images for classification of focal liver lesions
Tensorial compressive sensing of jointly	sparse	matrices with applications to color imaging
TenSR: Multi-dimensional Tensor	sparse	Representation
Terrestrial Laser Scanner Data Denoising by Dictionary Learning of	sparse	Coding
Tetrolet transform: A new adaptive Haar wavelet algorithm for	sparse	image representation
Text detection from natural scene images using topographic maps and	sparse	representations
Text detection from scene images using	sparse	representation
Text detection in images using	sparse	representation with discriminative dictionaries
Text Segmentation from Complex Background Using	sparse	Representations
Text/graphic separation using a	sparse	representation with multi-learned dictionaries
Texture Classification of PolSAR Data Based on	sparse	Coding of Wavelet Polarization Textons
Texture classification via patch-based	sparse	texton learning
Thin-Cloud Mask Method for Remote Sensing Images Based on	sparse	Dark Pixel Region Detection, A
This is SPIRAL-TAP:	sparse	Poisson Intensity Reconstruction ALgorithms: Theory and Practice
Thorough approach toward cylindrical MMW image reconstruction using	sparse	antenna array
Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and	sparse	Object Stitching, A
Three-Dimensional Deconvolution of Wide Field Microscopy with	sparse	Priors: Application to Zebrafish Imagery
Three-Dimensional Dual-Mesh Inversions for	sparse	Surface-to-Borehole TEM Data
Three-Dimensional Reconstruction From a Multiview Sequence of	sparse	ISAR Imaging of a Space Target
Three-Dimensional	sparse	SAR Imaging with Generalized LQ Regularization
Three-layer Spatial	sparse	Coding for Image Classification
thresholding algorithm for	sparse	recovery via Laplace norm, A
Time Image De-Noising Method Based on	sparse	Regularization
Time samples selection in spiral acquisition for	sparse	magnetic resonance spectroscopic imaging
Time warp invariant kSVD:	sparse	coding and dictionary learning for time series under time warp
Time-Domain Wideband DOA Estimation Under the Convolutional	sparse	Coding Framework
Time-Frequency Analysis Method of Seismic Data Based on	sparse	Constraints for Road Detection
TomoFluid: Reconstructing Dynamic Fluid From	sparse	View Videos
Tomographic reconstruction of flowing gases using	sparse	training
Tone-aware	sparse	representation for face recognition
Top-down saliency with Locality-constrained Contextual	sparse	Coding
Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on	sparse	Manifolds
Total Variation Regularization Term-Based Low-Rank and	sparse	Matrix Representation Model for Infrared Moving Target Tracking
Total Variation Regularized Reweighted	sparse	Nonnegative Matrix Factorization for Hyperspectral Unmixing
Total Variation Spatial Regularization for	sparse	Hyperspectral Unmixing
Total Variation-Stokes Strategy for	sparse	-View X-ray CT Image Reconstruction
Toward a Practical Face Recognition System: Robust Alignment and Illumination by	sparse	Representation
Toward a	sparse	Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification
Toward Efficient Image Representation:	sparse	Concept Discriminant Matrix Factorization
Toward high imperceptibility deep JPEG steganography based on	sparse	adversarial attack
Toward parts-based scene understanding with pixel-support parts-	sparse	pictorial structures
Toward	sparse	Coding on Cosine Distance
Towards a practical face recognition system: Robust registration and illumination by	sparse	representation
Towards Fast 3D Reconstruction Using Silhouettes and	sparse	Motion
Towards Scalable Summarization of Consumer Videos Via	sparse	Dictionary Selection
TPSSI-Net: Fast and Enhanced Two-Path Iterative Network for 3D SAR	sparse	Imaging
Track-Before-Detect Strategy Based on	sparse	Data Processing for Air Surveillance Radar Applications, A
Tracking via Robust Multi-task Multi-View Joint	sparse	Representation
Training	sparse	Neural Networks
Trajectory Processing Under Incomplete Measurement Situation Using a	sparse	Representation Model
Transfer learning for image classification with	sparse	prototype representations
Transfer learning for rare cancer problems via Discriminative	sparse	Gaussian Graphical model
Transfer	sparse	Coding for Robust Image Representation
Transform Learning Based	sparse	Coding for LiDAR Data Denoising
Transformation-Based Adversarial Defense Via	sparse	Representation
Trilateral constrained	sparse	representation for Kinect depth hole filling
Trilateral Weighted	sparse	Coding Scheme for Real-World Image Denoising, A
Tropical Forest Top Height by GEDI: From	sparse	Coverage to Continuous Data
Truncated L_1-2 Models for	sparse	Recovery and Rank Minimization
Truncated Nuclear Norm Minimization Based Group	sparse	Representation for Image Restoration
Tuned	sparse	depth map coding using redundant predefined transform domain
TV regularisation	sparse	light field reconstruction model based on guided-filtering, A
TV-	sparse	Super-Resolution Method for Radar Forward-Looking Imaging
Two dimensional analysis	sparse	model
Two dimensional compressive classifier for	sparse	images
Two-dimensional jointly	sparse	robust discriminant regression
Two-Dimensional Pattern-Coupled	sparse	Bayesian Learning via Generalized Approximate Message Passing
Two-Phase Multiobjective	sparse	Unmixing Approach for Hyperspectral Data, A
Two-Phase Test Sample	sparse	Representation Method for Use With Face Recognition, A
two-stage convolutional	sparse	prior model for image restoration, A
Two-Stage PAN-Sharpening Algorithm Based on	sparse	Representation for Spectral Distortion Reduction, A
Two-stage patch-based	sparse	multi-value descriptor for face recognition
Two-Step Downscaling of Trmm 3b43 V7 Precipitation in Contrasting Climatic Regions With	sparse	Monitoring: The Case of Ecuador in Tropical South America
Two-stream deep	sparse	network for accurate and efficient image restoration
UHD Video Super-Resolution Using Low-Rank and	sparse	Decomposition
Unbiased risk estimation for	sparse	analysis regularization
Unbiased	sparse	Subspace Clustering by Selective Pursuit
Unbounded	sparse	Census Transform Using Genetic Algorithm
Uncertainty-Based Active Learning via	sparse	Modeling for Image Classification
Uncertainty-Driven Efficiently-Sampled	sparse	Graphical Models for Concurrent Tumor Segmentation and Atlas Registration
Uncooperative gait recognition: Re-ranking based on	sparse	coding and multi-view hypergraph learning
Uncorrelated feature selection via	sparse	latent representation and extended OLSDA
Underdetermined Direction-of-Arrival Estimation Using	sparse	Circular Arrays on a Rotating Platform
Underdetermined DOA Estimation for Wideband Signals Using Robust	sparse	Covariance Fitting
Underdetermined DOA Estimation for Wideband Signals via Joint	sparse	Signal Reconstruction
Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative	sparse	Bayesian Learning
Underdetermined DOA estimation using coprime array via multiple measurement	sparse	Bayesian learning
Underdetermined DOA Estimation via Covariance Matrix Completion for Nested	sparse	Circular Array in Nonuniform Noise
Understanding and Manipulating Neural Net Features Using	sparse	Oblique Classification Trees
Understanding Compressive Sensing and	sparse	Representation-Based Super-Resolution
unified deep	sparse	graph attention network for scene graph generation, A
Unified Dictionary Learning and Region Tagging with Hierarchical	sparse	Representation
unified framework for damaged image fusion and completion based on low-rank and	sparse	decomposition, A
unified model for the	sparse	optimal scoring problem, A
Unified	sparse	Recovery and Inference Framework for Functional Diffuse Optical Tomography Using Random Effect Model, A
Unified	sparse	Subspace Learning via Self-Contained Regression
Universal Collaboration Strategies for Signal Detection: A	sparse	Learning Approach
universal image coding approach using	sparse	steered Mixture-of-Experts regression, A
Universal Regularizers for Robust	sparse	Coding and Modeling
Unmixing Tissues:	sparse	Component Analysis in Multi-Contrast MRI
Unnatural L0	sparse	Representation for Natural Image Deblurring
Unrestricted pose-invariant face recognition by	sparse	dictionary matrix
Unseen Face Presentation Attack Detection Using	sparse	Multiple Kernel Fisher Null-Space
Unsupervised Band Selection Based on Group-Based	sparse	Representation
Unsupervised Category Discovery in Images Using	sparse	Neural Coding
Unsupervised Classification of Polarimetric SAR Images via Riemannian	sparse	Coding
Unsupervised dictionary learning with double-layer	sparse	representation
Unsupervised discovery of co-occurrence in	sparse	high dimensional data
Unsupervised domain adaptation with joint supervised	sparse	coding and discriminative regularization term
Unsupervised feature analysis with	sparse	adaptive learning
Unsupervised feature learning based on	sparse	coding and spectral clustering for segmentation of synthetic aperture radar images
Unsupervised Feature Selection Based on Ultrametricity and	sparse	Training Data: A Case Study for the Classification of High-Dimensional Hyperspectral Data
Unsupervised Inference of Signed Distance Functions from Single	sparse	Point Clouds without Learning Priors
Unsupervised land cover classification in multispectral imagery with	sparse	representations on learned dictionaries
Unsupervised Multi-Shot Person Re-Identification Method via Mutual Normalized	sparse	Representation and Stepwise Learning, An
Unsupervised Multi-shot Person Re-identification via Dynamic Bi-directional Normalized	sparse	Representation
Unsupervised scene segmentation using	sparse	coding context
Unsupervised	sparse	Dirichlet-Net for Hyperspectral Image Super-Resolution
Unsupervised	sparse	, Nonnegative, Low Rank Dictionary Learning for Detection of Driver Cell Phone Usage
Unsupervised Spatio-Temporal Segmentation with	sparse	Spectral-Clustering
Unsupervised Transfer Learning via Multi-Scale Convolutional	sparse	Coding for Biomedical Applications
Unsupervised Video Matting via	sparse	and Low-Rank Representation
Unusual events detection based on multi-dictionary	sparse	representation using kinect
Unusual Scene Detection Using Distributed Behaviour Model and	sparse	Representation
Urban Area Tomography Using a	sparse	Representation Based Two-Dimensional Spectral Analysis Technique
Urban road traffic condition forecasting based on	sparse	ride-hailing service data
Use of a Dense Surface Point Distribution Model in a Three-Stage Anatomical Shape Reconstruction from	sparse	Information for Computer Assisted Orthopaedic Surgery: A Preliminary Study
Use of	sparse	Representation for Pedestrian Detection in Thermal Images
Use Your Hand as a 3-D Mouse or Relative Orientation from Extended Sequences of	sparse	Point and Line Correspondences Using the Affine Trifocal Tensor
User driven	sparse	point-based image segmentation
Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on	sparse	Observations
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based	sparse	Coding Model
Using	sparse	Elimination for Solving Minimal Problems in Computer Vision
Using	sparse	regression to learn effective projections for face recognition
Using	sparse	-Point Disparity Estimation and Spatial Propagation to Construct Dense Disparity Map for Stereo Endoscopic Images
Using Stacked	sparse	Auto-Encoder and Superpixel CRF for Long-Term Visual Scene Understanding of UGVs
Using underapproximations for	sparse	nonnegative matrix factorization
USM Sharpening Detection Based on	sparse	Coding
USMLP: U-shaped	sparse	-MLP network for mass segmentation in mammograms
variational analysis of shape from specularities using	sparse	data, A
Variational Bayesian and Generalized Approximate Message Passing-Based	sparse	Bayesian Learning Model for Image Reconstruction
Variational Bayesian	sparse	Kernel-Based Blind Image Deconvolution With Student's-t Priors
Variational Pansharpening Method Based on Gradient	sparse	Representation, A
Variational Surface Interpolation from	sparse	Point and Normal Data
Vector	sparse	Representation of Color Image Using Quaternion Matrix Analysis
Vehicle Behavior Learning via	sparse	Reconstruction with L_2-L_p Minimization and Trajectory Similarity
Vehicle Detection in High-Resolution Aerial Images Based on Fast	sparse	Representation Classification and Multiorder Feature
Vehicle Detection in High-Resolution Aerial Images via	sparse	Representation and Superpixels
Vehicle Energy/Emissions Estimation Based on Vehicle Trajectory Reconstruction Using	sparse	Mobile Sensor Data
Vehicle Identification Via	sparse	Representation
Vehicle make and model recognition using	sparse	representation and symmetrical SURFs
Vehicle	sparse	recognition via class dictionary learning
Vehicle verification between two nonoverlapped views using	sparse	representation
VFSC: A Very Fast	sparse	Clustering to Cluster Faces from Videos
Video Anomaly Detection with	sparse	Coding Inspired Deep Neural Networks
Video denoising by	sparse	3D transform-domain collaborative filtering
Video denoising using shape-adaptive	sparse	representation over similar spatio-temporal patches
Video Matting via	sparse	and Low-Rank Representation
Video Rain Streak Removal by Multiscale Convolutional	sparse	Coding
Video Region Annotation with	sparse	Bounding Boxes
video semantic detection method based on locality-sensitive discriminant	sparse	representation and weighted KNN, A
Video summarization via minimum	sparse	reconstruction
Video Summarization via Simultaneous Block	sparse	Representation
Video super-resolution via pre-frame constrained and deep-feature enhanced	sparse	reconstruction
Video to Reference Image Alignment in the Presence of	sparse	Features and Appearance Change
Video-based face recognition via joint	sparse	representation
Video-to-Shot Tag Propagation by Graph	sparse	Group Lasso
View Synthesis with Occlusion Reasoning Using Quasi-	sparse	Feature Correspondences
Viewpoint Determination of Image by Interpolation over	sparse	Samples
Viewpoint Invariant Recovery of Visual Surfaces from	sparse	Data
VIPNet: A Fast and Accurate Single-View Volumetric Reconstruction by Learning	sparse	Implicit Point Guidance
Virtual Dictionary Based Kernel	sparse	Representation for Face Recognition
Virtual samples and	sparse	representation-based classification algorithm for face recognition
Virtual	sparse	Convolution for Multimodal 3D Object Detection
Vision-based traffic accident detection using	sparse	spatio-temporal features and weighted extreme learning machine
Visual Classification With Multitask Joint	sparse	Representation
Visual Depth Guided Color Image Rain Streaks Removal Using	sparse	Coding
Visual domain adaptation based on modified A-distance and	sparse	filtering
Visual Learning Given	sparse	Data of Unknown Complexity
Visual Localization Using	sparse	Semantic 3D Map
Visual object tracking using	sparse	context-aware spatio-temporal correlation filter
Visual object tracking via online	sparse	instance learning
Visual object tracking via sample-based Adaptive	sparse	Representation (AdaSR)
Visual Representation and Classification by Learning Group	sparse	Deep Stacking Network
Visual Saliency Detection via	sparse	Residual and Outlier Detection
Visual saliency object detection using	sparse	learning
Visual Surface Reconstruction Using	sparse	Depth Data
Visual Tracking Based on Log-Euclidean Riemannian	sparse	Representation
Visual tracking based on online	sparse	feature learning
Visual Tracking Based on the Adaptive Color Attention Tuned	sparse	Generative Object Model
Visual Tracking in Continuous Appearance Space via	sparse	Coding
Visual tracking using IPCA and	sparse	representation
Visual Tracking Using Strong Classifier and Structural Local	sparse	Descriptors
Visual Tracking Via Adaptive Structural Local	sparse	Appearance Model
Visual Tracking via Coarse and Fine Structural Local	sparse	Appearance Models
Visual tracking via context-aware local	sparse	appearance model
Visual Tracking via Discriminative	sparse	Similarity Map
Visual Tracking Via Kernel	sparse	Representation With Multikernel Fusion
Visual tracking via manifold regularized local structured	sparse	representation model
Visual tracking via orthogonal	sparse	coding
Visual Tracking via Saliency Weighted	sparse	Coding Appearance Model
Visual Tracking via	sparse	and Local Linear Coding
Visual Tracking Via	sparse	Representation With Reliable Structure Constraint
Visual Tracking via Temporally Smooth	sparse	Coding
Visual tracking with	sparse	correlation filters
Visual Tracking With Weighted Adaptive Local	sparse	Appearance Model via Spatio-Temporal Context Learning
Voice Activity Detection Via Noise Reducing Using Non-Negative	sparse	Coding
Volume estimation from	sparse	planar images using deformable models
Volumetric Representation for	sparse	Multi-Views
VoxelNeXt: Fully	sparse	VoxelNet for 3D Object Detection and Tracking
VoxFormer:	sparse	Voxel Transformer for Camera-Based 3D Semantic Scene Completion
VSpSR: Explorable Super-Resolution via Variational	sparse	Representation
W-Penalty and Its Application to Alpha Matting with	sparse	Labels, The
Wafer Defect Map Classification Using	sparse	Convolutional Networks
Wall Clutter Mitigation Using Discrete Prolate Spheroidal Sequences for	sparse	Reconstruction of Indoor Stationary Scenes
Wasserstein k-means with	sparse	simplex projection
Wavefront reconstruction in phase-shifting interferometry via	sparse	coding of amplitude and absolute phase
Wavelet oriented SAR image despeckling using fractional-order TV and a non-convex	sparse	prior
Wavelet Statistics of	sparse	and Self-Similar Images
Wavelet-Based	sparse	Reduced-Rank Regression for Hyperspectral Image Restoration
Wavelet-Domain Low-Rank/Group-	sparse	Destriping for Hyperspectral Imagery
Wavenumber Domain Algorithm-Based FMCW SAR	sparse	Imaging
Weak RIC Analysis of Finite Gaussian Matrices for Joint	sparse	Recovery
Weakly Supervised Action Localization by	sparse	Temporal Pooling Network
Weakly supervised	sparse	coding with geometric consistency pooling
Weakly-Supervised	sparse	Coding With Geometric Prior for Interactive Texture Segmentation
Weighted average denoising with	sparse	Orthonormal Transforms
Weighted Background Suppression Target Detection Using	sparse	Image Enhancement Technique for Newly Grown Tree Leaves
Weighted Block-	sparse	Low Rank Representation for Face Clustering in Videos
Weighted Couple	sparse	Representation With Classified Regularization for Impulse Noise Removal
Weighted Extreme	sparse	Classifier and Local Derivative Pattern for 3D Face Recognition
Weighted graph regularized	sparse	brain network construction for MCI identification
Weighted Joint	sparse	Representation for Removing Mixed Noise in Image
Weighted Kernel joint	sparse	representation for hyperspectral image classification
Weighted locality collaborative representation based on	sparse	subspace
Weighted Nearest Mean Classifier for	sparse	Subspaces, A
Weighted Non-locally Self-similarity	sparse	Representation for Face Deblurring
weighted	sparse	coding framework for saliency detection, A
Weighted	sparse	coding residual minimization for visual tracking
Weighted	sparse	representation using a learned distance metric for face recognition
Weighted	sparse	Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos, A
Wetland Mapping Using HJ-1A/B Hyperspectral Images and an Adaptive	sparse	Constrained Least Squares Linear Spectral Mixture Model
What	sparse	Light Field Coding Reveals about Scene Structure
When Channel Correlation Meets	sparse	Prior: Keeping Interpretability in Image Compressive Sensing
Whole Brain Myelin Water Mapping in One Minute Using Tensor Dictionary Learning With Low-Rank Plus	sparse	Regularization
Wideband	sparse	Reconstruction for Scanning Radar
WLDISR: Weighted Local	sparse	Representation-Based Depth Image Super-Resolution for 3D Video System
WM-SBA: Weighted multibody	sparse	bundle adjustment
Working with JPEG2000: two proposals for	sparse	histogram images
X*: Anytime Multi-Agent Path Finding for	sparse	Domains using Window-Based Iterative Repairs
X-ray CT Metal Artifact Reduction Using Wavelet Domain L_0	sparse	Regularization
xMISC: Improved	sparse	Linear Array via Maximum Inter-Element Spacing Concept
You Only Search Once: Single Shot Neural Architecture Search via Direct	sparse	Optimization
ZA-APA with zero attractor controller selection criterion for	sparse	system identification
Zero-Attracting Kernel Maximum Versoria Criterion Algorithm for Nonlinear	sparse	System Identification
Zero-Redundancy	sparse	Array Configuration Design Based on Sum-Difference Coarray

4203 for sparse