_ | subspace | _ |
2-D filter-based disparity compensation using sequential orthogonal | subspace | updating |
2-D Filtering Scheme for Stereo Image Compression Using Sequential Orthogonal | subspace | Updating, A |
2D face recognition based on supervised | subspace | learning from 3D models |
2D Segmentation from Fovea Images Based on Eigen- | subspace | Learning |
3-D Full-Time TEM Modeling Using Shift-and-Invert Krylov | subspace | Method |
3D Face Reconstruction from a Single Shaded Image Using | subspace | Crossing Engine |
3D Human Action Recognition Using a Single Depth Feature and Locality-Constrained Affine | subspace | Coding |
3D Object Recognition Based on Canonical Angles between Shape | subspace | s |
3D Semantic | subspace | Traverser: Empowering 3D Generative Model with Shape Editing Capability |
5D Motion | subspace | s for Planar Motions |
Accelerating monotone fast iterative shrinkage-thresholding algorithm with sequential | subspace | optimization for sparse recovery |
Accelerating Uncertainty Quantification for Nonlinear Inverse Scattering Problems With High Contrast Media by Direct Envelope Methods and Krylov | subspace | Iterative Integral Equation Solvers |
Accurate Extraction of Human Face Area using | subspace | Method and Genetic Algorithm |
Acquiring Linear | subspace | s for Face Recognition under Variable Lighting |
Action recognition by orthogonalized | subspace | s of local spatio-temporal features |
Active Orthogonal Matching Pursuit for Sparse | subspace | Clustering |
Active | subspace | learning |
Activity recognition using dynamic | subspace | angles |
Adapting instance weights for unsupervised domain adaptation using quadratic mutual information and | subspace | learning |
Adaptive Attribute and Structure | subspace | Clustering Network |
Adaptive Beamforming With Sensor Position Errors Using Covariance Matrix Construction Based on | subspace | Bases Transition |
Adaptive Confidence Measure for Optical Flows Based on Linear | subspace | Projections, An |
Adaptive Detection of Point-Like Targets in the Presence of Homogeneous Clutter and | subspace | Interference |
Adaptive Graph Convolutional | subspace | Clustering |
Adaptive KPCA-based missing texture reconstruction approach including classification scheme via difference | subspace | s |
Adaptive Latent Representation for Multi-view | subspace | Learning |
Adaptive learning of multi- | subspace | for foreground detection under illumination changes |
Adaptive multi-view | subspace | clustering for high-dimensional data |
Adaptive Online k- | subspace | s with Cooperative Re-Initialization |
Adaptive Probabilistic Visual Tracking with Incremental | subspace | Update |
Adaptive | subspace | Decomposition for Hyperspectral Data Dimensionality Reduction |
Adaptive | subspace | Map for Texture Segmentation, The |
Adaptive | subspace | Self-organizing Map And Its Applications In Face Recognition |
Adaptive | subspace | Signal Detection in Structured Interference Plus Compound Gaussian Sea Clutter |
Adaptive | subspace | -Based Inverse Projections via Division Into Multiple Sub-Problems for Missing Image Data Restoration |
Adaptive | subspace | s for Few-Shot Learning |
Adaptive Support-Driven Sparse Recovery STAP Method with | subspace | Penalty |
Adaptive tree-structured | subspace | classification of hyperspectral images |
Adaptive Weight Assignment Scheme in Linear | subspace | Approaches for Face Recognition, An |
Adaptive weighted dictionary representation using anchor graph for | subspace | clustering |
adaptive weighted fusion model with two | subspace | s for facial expression recognition, An |
ADMM Approach to Masked Signal Decomposition Using | subspace | Representation, An |
ADMM in Krylov | subspace | and Its Application to Total Variation Restoration of Spatially Variant Blur |
ADMM penalty parameter selection with Krylov | subspace | recycling technique for sparse coding |
Affine | subspace | Representation for Feature Description |
Affine | subspace | Robust Low-Rank Self-Representation: From Matrix to Tensor |
Affinity learning via a diffusion process for | subspace | clustering |
Algebraic Clustering of Affine | subspace | s |
algorithm using projection onto | subspace | of prior distributions for long-wavelength sound wave CT, An |
Algorithm using supervised | subspace | learning and non-local representation for pose variation recognition |
ALSM algorithm: An improved | subspace | method of classification, The |
Analysis and Synthesis of Human Faces with Pose Variations by a Parametric Piecewise Linear | subspace | Method |
Analysis of Different | subspace | Mixture Models in Handwriting Recognition |
Analysis of Linear | subspace | Approaches for Computer Vision and Pattern Recognition, An |
Analysis of Multilinear | subspace | s Based on Geodesic Distance |
Analytic Bilinear Appearance | subspace | Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance |
Analyzing the | subspace | Structure of Related Images: Concurrent Segmentation of Image Sets |
Analyzing the | subspace | s Obtained by Dimensionality Reduction for Human Action Recognition from 3d Data |
Anchor Structure Regularization Induced Multi-view | subspace | Clustering via Enhanced Tensor Rank Minimization |
Angular-Similarity-Preserving Binary Signatures for Linear | subspace | s |
Anomaly Detection for Hyperspectral Imagery Based on the Regularized | subspace | Method and Collaborative Representation |
Appearance-based video clustering in 2D locality preserving projection | subspace | |
Application of Krylov | subspace | s to SPECT imaging |
Approximate Grassmannian Intersections: | subspace | -Valued Subspace Learning |
Approximate Grassmannian Intersections: | subspace | -Valued Subspace Learning |
Approximate Nearest | subspace | Search |
Approximate Nearest | subspace | Search with Applications to Pattern Recognition |
Articulated and Restricted Motion | subspace | s and Their Signatures |
Asymmetric Bagging and Random | subspace | for Support Vector Machines-Based Relevance Feedback in Image Retrieval |
Asymptotic and Bootstrap Tests for the Dimension of the Non-Gaussian | subspace | |
Atmospheric Column Water Vapor Retrieval From Hyperspectral VNIR Data Based on Low-Rank | subspace | Projection |
Attack Agnostic Detection of Adversarial Examples via Random | subspace | Analysis |
Attention reweighted sparse | subspace | clustering |
Attribute constrained | subspace | learning |
Attribute | subspace | s for zero-shot learning |
Auto-scaled Incremental Tensor | subspace | Learning for Region Based Rate Control Application |
Automatic construction of robust spherical harmonic | subspace | s |
Automatic extraction of the face identity- | subspace | |
Background modeling by | subspace | learning on spatio-temporal patches |
Background Subtraction using Incremental | subspace | Learning |
Background subtraction via incremental maximum margin criterion: a discriminative | subspace | approach |
Background-Foreground Modeling Based on Spatiotemporal Sparse | subspace | Clustering |
Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust | subspace | Learning Methods |
Bagging, Random | subspace | Method and Biding |
Bags of Affine | subspace | s for Robust Object Tracking |
Band-Specified Virtual Dimensionality for Band Selection: An Orthogonal | subspace | Projection Approach |
Better Feature Tracking through | subspace | Constraints |
Beyond ITQ: Efficient binary multi-view | subspace | learning for instance retrieval |
Beyond the shortest path: Unsupervised domain adaptation by Sampling | subspace | s along the Spline Flow |
Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View | subspace | Clustering |
Bi-sparsity pursuit for robust | subspace | recovery |
bi- | subspace | model for robust visual tracking, A |
Bilateral Fast Low-Rank Representation With Equivalent Transformation for | subspace | Clustering |
Binary Plankton Image Classification Using Random | subspace | |
Blind Image Restoration With Eigen-Face | subspace | |
Boosting in Random | subspace | s for Face Recognition |
Boosting Multi-gabor | subspace | s for Face Recognition |
Breast cancer diagnosis from biopsy images with highly reliable random | subspace | classifier ensembles |
Brief History of the | subspace | Methods, A |
Building compact MQDF classifier for large character set recognition by | subspace | distribution sharing |
Building Compact MQDF Classifier for Off-line Handwritten Chinese Characters by | subspace | Distribution Sharing |
Business email classification using incremental | subspace | learning |
Car/Non-Car Classification in an Informative Sample | subspace | |
Cascadic Alternating Krylov | subspace | Image Restoration Method, A |
Central | subspace | Dimensionality Reduction Using Covariance Operators |
Charting-based | subspace | learning for video-based human action classification |
Chi-Squared-Transformed | subspace | of LBP Histogram for Visual Recognition, A |
Class Probability Propagation of Supervised Information Based on Sparse | subspace | Clustering for Hyperspectral Images |
Class specific | subspace | dependent nonlinear correlation filtering for illumination tolerant face recognition |
Class-Specific | subspace | -Based Two-Dimensional Principal Component Analysis for Face Recognition |
Classification based on symmetric maximized minimal distance in | subspace | (SMMS) |
Classification in an informative sample | subspace | |
Classification of fMRI Time Series in a Low-Dimensional | subspace | With a Spatial Prior |
Classification of Multi-Frequency Polarimetric SAR Images Based on Multi-Linear | subspace | Learning of Tensor Objects |
Classification Of Photogrammetric Point Clouds Of Scaffolds For Construction Site Monitoring Using | subspace | Clustering And Pca |
Classification of Polarimetric SAR Image Based on the | subspace | Method |
Classification of TV Sports News by DCT Features Using Multiple | subspace | Method |
Classification of Vehicle Make by Combined Features and Random | subspace | Ensemble |
Classification of vehicle type and make by combined features and random | subspace | ensemble |
Classification via semi-supervised multi-random | subspace | sparse representation |
Classifier of Similar Characters using Compound Mahalanobis Function based on Difference | subspace | , A |
Classifying and Comparing Approaches to | subspace | Clustering with Missing Data |
Clean affinity matrix learning with rank equality constraint for multi-view | subspace | clustering |
closed form solution to robust | subspace | estimation and clustering, A |
Clustered sampling improves random | subspace | brain mapping |
Clustering a union of low-rank | subspace | s of different dimensions with missing data |
Clustering quality metrics for | subspace | clustering |
Clutter Jamming Suppression for Airborne Distributed Coherent Aperture Radar Based on Prior Clutter | subspace | Projection |
Collaborative Graph Embedding: A Simple Way to Generally Enhance | subspace | Learning Algorithms |
Color distribution matching using a weighted | subspace | descriptor |
Color | subspace | s as Photometric Invariants |
Combination of self-organization map and kernel mutual | subspace | method for video surveillance |
Combining Reconstructive and Discriminative | subspace | Methods for Robust Classification and Regression by Subsampling |
Comment on 'Enhanced soft | subspace | clustering integrating within-cluster and between-cluster information' by Z. Deng et al. (Pattern Recognition, vol. 43, pp. 767-781, 2010) |
Comments on Orthogonal | subspace | Projection (OSP) Revisited: A Comprehensive Study and Analysis |
Common | subspace | for Model and Similarity: Phrase Learning for Caption Generation from Images |
Compact Matrix Factorization with Dependent | subspace | s |
Comparative Study: Face Recognition on Unspecific Persons using Linear | subspace | Methods |
Comparing Ranking Methods for Tensor Components in Multilinear and Concurrent | subspace | Analysis with Applications in Face Images |
Comparing | subspace | methods for face recognition |
comparison of | subspace | methods for accurate position measurement, A |
complete discriminative | subspace | for robust face recognition, A |
Complete Moving Object Detection in the Context of Robust | subspace | Learning |
Complete/incomplete multi-view | subspace | clustering via soft block-diagonal-induced regulariser |
Complex Non-rigid Motion 3D Reconstruction by Union of | subspace | s |
Component-based nearest neighbour | subspace | clustering |
Compound Mutual | subspace | Method for 3D Object Recognition: A Theoretical Extension of Mutual Subspace Method |
Compound Mutual | subspace | Method for 3D Object Recognition: A Theoretical Extension of Mutual Subspace Method |
Comprehensive Empirical Study on Linear | subspace | Methods for Facial Expression Analysis, A |
Compressive video sampling from a union of data-driven | subspace | s |
Computationally Efficient | subspace | Algorithm for 2-D DOA Estimation with L-shaped Array, A |
concept lattice based outlier mining method in low-dimensional | subspace | s, A |
Concurrent | subspace | s Analysis |
Cone-restricted kernel | subspace | methods |
Cone-restricted | subspace | methods |
Confidence Weighted | subspace | Projection Techniques for Robust Face Recognition in the Presence of Partial Occlusions |
Conjugate gradient on Grassmann manifolds for robust | subspace | estimation |
Conjunctive Patches | subspace | Learning With Side Information for Collaborative Image Retrieval |
Connecting | subspace | Learning and Extreme Learning Machine in Speech Emotion Recognition |
Connecting the dots in multi-class classification: From nearest | subspace | to collaborative representation |
Consensus Low-Rank Multi-View | subspace | Clustering With Cross-View Diversity Preserving |
Consistent and diverse multi-View | subspace | clustering with structure constraint |
Constrained Sparse | subspace | Clustering with Side-Information |
Constrained | subspace | modelling |
Constrained Tensor Representation Learning for Multi-View Semi-Supervised | subspace | Clustering |
Content-Based Image Retrieval via | subspace | -Projected Salient Features |
Controlling Familywise Error Rate for Matched | subspace | Detection in Dynamic FDG PET |
Convergence Rate Analysis of the Majorize: Minimize | subspace | Algorithm |
convergence theorem for the fuzzy | subspace | clustering (FSC) algorithm, A |
Convergent 2-D | subspace | Learning With Null Space Analysis |
Convex Formulation for Hyperspectral Image Superresolution via | subspace | -Based Regularization, A |
Convex Relaxation Approach to the Affine | subspace | Clustering Problem, A |
Correlation Adaptive | subspace | Segmentation by Trace Lasso |
Correntropy Induced L2 Graph for Robust | subspace | Clustering |
CoSpace: Common | subspace | Learning From Hyperspectral-Multispectral Correspondences |
Cost-sensitive | subspace | learning for face recognition |
Cost-sensitive | subspace | learning for human age estimation |
Coupled Kernel-Based | subspace | Learning |
Coupled | subspace | -Based Atmospheric Compensation of LWIR Hyperspectral Data |
Coupling Adaboost and Random | subspace | for Diversified Fisher Linear Discriminant |
Cross Domain Shared | subspace | Learning for Unsupervised Transfer Classification |
Cross-Dataset Transfer Driver Expression Recognition via Global Discriminative and Local Structure Knowledge Exploitation in Shared Projection | subspace | |
Cross-Domain Color Facial Expression Recognition Using Transductive Transfer | subspace | Learning |
Cross-domain recognition by identifying compact joint | subspace | s |
Cross-Modal Retrieval Using Multiordered Discriminative Structured | subspace | Learning |
Cross-Modal | subspace | Learning via Pairwise Constraints |
Cross-spectrum Face Recognition Using | subspace | Projection Hashing |
Curve Evolution in | subspace | s |
Cycle-reconstructive | subspace | learning with class discriminability for unsupervised domain adaptation |
Data Description in | subspace | s |
Data-augmented matched | subspace | detector for hyperspectral subpixel target detection |
Data-driven | subspace | enrichment for elastic deformations with collisions |
Deep Adversarial | subspace | Clustering |
Deep Bayesian Sparse | subspace | Clustering |
Deep Closed-Form | subspace | Clustering |
Deep Clustering via Weighted k- | subspace | Network |
Deep Constrained Low-Rank | subspace | Learning for Multi-View Semi-Supervised Classification |
Deep graph clustering with multi-level | subspace | fusion |
Deep Low-Rank | subspace | Clustering |
Deep Multi-View | subspace | Clustering With Unified and Discriminative Learning |
deep network model based on | subspace | s: A novel approach for image classification, A |
Deep point-to- | subspace | metric learning for sketch-based 3D shape retrieval |
Deep robust multi-channel learning | subspace | clustering networks |
Deep Spatial-Spectral | subspace | Clustering for Hyperspectral Image |
Deep Spatial-Spectral | subspace | Clustering for Hyperspectral Images Based on Contrastive Learning |
Deep | subspace | learning for expression recognition driven by a two-phase representation classifier |
Deformable Motion 3D Reconstruction by Union of Regularized | subspace | s |
Delay Correlation | subspace | Decomposition Algorithm and Its Application in fMRI |
Denoising Atmospheric Radar Signals Using Spectral-Based | subspace | Method Applicable for PBS Wind Estimation |
Denoising radio interferometric images by | subspace | clustering |
Dense Multi-frame Optic Flow for Non-rigid Objects Using | subspace | Constraints |
Density Function Interpretation of | subspace | Cassification Methods |
Description of Medical Images in Characteristic | subspace | and Vector Quantization Coding Based on Wavelet Transformation |
Detection of Salient Image Points Using Principal | subspace | Manifold Structure |
Detection of visual attention regions in images using robust | subspace | analysis |
Detection With Target-Induced | subspace | Interference |
Detector Design and Performance Analysis for Target Detection in | subspace | Interference |
Determining the Dimension of the Improper Signal | subspace | in Complex-Valued Data |
Difference | subspace | and Its Generalization for Subspace-Based Methods |
Difference | subspace | and Its Generalization for Subspace-Based Methods |
Differentially Deep | subspace | Representation for Unsupervised Change Detection of SAR Images |
Dimension-free affine shape matching through | subspace | invariance |
Directed Random | subspace | Method for Face Recognition |
Discriminant Feature Extraction by Generalized Difference | subspace | |
Discriminant Low-dimensional | subspace | Analysis for Face Recognition with Small Number of Training Samples |
Discriminant Mutual | subspace | Learning for Indoor and Outdoor Face Recognition |
Discriminant | subspace | Analysis: A Fukunaga-Koontz Approach |
Discriminant | subspace | Analysis: An Adaptive Approach for Image Classification |
Discriminative clustering using regularized | subspace | learning |
Discriminative common feature | subspace | learning for age-invariant face recognition |
Discriminative high order SVD: Adaptive tensor | subspace | selection for image classification, clustering, and retrieval |
Discriminative Multi-View | subspace | Feature Learning for Action Recognition |
Discriminative Non-Linear Stationary | subspace | Analysis for Video Classification |
Discriminative Nonorthogonal Binary | subspace | Tracking |
Discriminative Semantic | subspace | Analysis for Relevance Feedback |
Discriminative | subspace | Clustering |
Discriminative | subspace | learning via optimization on Riemannian manifold |
Discriminative | subspace | learning with sparse representation view-based model for robust visual tracking |
Discriminative | subspace | matrix factorization for multiview data clustering |
Discriminative Transfer | subspace | Learning via Low-Rank and Sparse Representation |
Discriminative Weighting and | subspace | Learning for Ensemble Symbol Recognition |
Disperse Asymmetric | subspace | Relation Hashing for Cross-Modal Retrieval |
Distance metric learning for soft | subspace | clustering in composite kernel space |
Distributed cross-media multiple binary | subspace | learning |
Distributed Low-Rank | subspace | Segmentation |
Diversity-induced Multi-view | subspace | Clustering |
DOA Estimation Based on Pseudo-Noise | subspace | for Relocating Enhanced Nested Array |
Domain Adaptation Based on Correlation | subspace | Dynamic Distribution Alignment for Remote Sensing Image Scene Classification |
Domain adaptation by aligning locality preserving | subspace | s |
Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common | subspace | |
Domain Adaptive | subspace | Clustering |
Domain Invariant | subspace | Learning for Cross-Modal Retrieval |
Dominant- | subspace | Invariants |
Double Discrete Cosine Transform-Oriented Multi-View | subspace | Clustering |
Driver's fatigue expressions recognition by combined features from pyramid histogram of oriented gradient and contourlet transform with random | subspace | ensembles |
DSR: A Dual | subspace | Re-Projection Network for Surface Anomaly Detection |
Dual Alignment Self-Supervised Incomplete Multi-View | subspace | Clustering Network |
Dual Graph Regularized Latent Low-Rank Representation for | subspace | Clustering |
Dual Pursuit for | subspace | Learning |
Dual | subspace | discriminative projection learning |
Dual | subspace | manifold learning based on GCN for intensity-invariant facial expression recognition |
Dual | subspace | nonnegative matrix factorization for person-invariant facial expression recognition |
DUST: Dual Union of Spatio-Temporal | subspace | s for Monocular Multiple Object 3D Reconstruction |
Dynamic background subtraction via sparse representation of dynamic textures in a low-dimensional | subspace | |
Dynamic Contrast-Enhanced MR Angiography Exploiting | subspace | Projection for Robust Angiogram Separation |
Dynamic | subspace | Method for Hyperspectral Image Classification, A |
Dynamic | subspace | Update with Incremental Nystrom Approximation |
Dynamic | subspace | -based coordinated multicamera tracking |
Dynamic visual motion estimation from | subspace | constraints |
EASE: Unsupervised Discriminant | subspace | Learning for Transductive Few-Shot Learning |
Efficient and Effective Nonconvex Low-Rank | subspace | Clustering via SVT-Free Operators |
Efficient Deep Embedded | subspace | Clustering |
Efficient dense | subspace | clustering |
Efficient instance search from large video database via sparse filters in | subspace | s |
efficient matrix factorization based low-rank representation for | subspace | clustering, An |
Efficient MUSIC Algorithm Enhanced by Iteratively Estimating Signal | subspace | and Its Applications in Spatial Colored Noise, An |
Efficient Point-to- | subspace | Query in L_1 with Application to Robust Face Recognition |
Efficient Point-to- | subspace | Query in L_1 with Application to Robust Object Instance Recognition |
Efficient Representation-Based | subspace | Clustering Framework for Polarized Hyperspectral Images, An |
Efficient Sentence Embedding via Semantic | subspace | Analysis |
Efficient Sub-Regional Multiple-Source Detection Based on | subspace | Matrix Filtering |
Efficient Variational Bayesian Approximation Method Based on | subspace | Optimization |
Eigen nodule: view-based recognition of lung nodule in chest X-ray CT images using | subspace | method |
Elaborate multi-task | subspace | learning with discrete group constraint |
Elastic Net | subspace | clustering applied to pop/rock music structure analysis |
Elastic-net regularization of singular values for robust | subspace | learning |
Element Rearrangement for Tensor-Based | subspace | Learning |
Embedded Prototype | subspace | Classification: A Subspace Learning Framework |
Embedded Prototype | subspace | Classification: A Subspace Learning Framework |
Endogenous convolutional sparse representations for transolation invariant image | subspace | models |
Enforced block diagonal | subspace | clustering with closed form solution |
Enhanced Local | subspace | Affinity for feature-based motion segmentation |
Enhanced low-rank constraint for temporal | subspace | clustering and its acceleration scheme |
Enhanced Measurement Model for | subspace | -Based Tracking |
Enhanced soft | subspace | clustering integrating within-cluster and between-cluster information |
enhanced | subspace | method for face recognition, An |
Enhancement of the Krylov | subspace | Regularization for Microwave Biomedical Imaging |
Enhancing Bilinear | subspace | Learning by Element Rearrangement |
Enhancing Low-Rank | subspace | Clustering by Manifold Regularization |
Enriched Robust Multi-View Kernel | subspace | Clustering |
Ensemble of furthest | subspace | pairs for enhanced image set matching |
Ensemble | subspace | Segmentation Under Blockwise Constraints |
entropy weighting mixture model for | subspace | clustering of high-dimensional data, An |
Epipolar Geometry and Linear | subspace | Methods: A New Approach to Weak Calibration |
EROS: Ensemble rough | subspace | s |
Essential Low-Rank Sample Learning for Group-Aware | subspace | Clustering |
Estimating Clusters Centres Using Support Vector Machine: An Improved Soft | subspace | Clustering Algorithm |
Estimating Effective Connectivity from fMRI Data Using Factor-based | subspace | Autoregressive Models |
Estimating head pose with an RGBD sensor: A comparison of appearance-based and pose-based local | subspace | methods |
Estimation of Multiple 2-D Uniform Motions by SLIDE: | subspace | -Based Line Detection |
Estimation of Skew Angle in Text-Image Analysis by SLIDE: | subspace | -Based Line Detection |
Evolutionary multi-objective optimization based overlapping | subspace | clustering |
Exclusivity-Consistency Regularized Multi-view | subspace | Clustering |
Exploiting Unsupervised and Supervised Constraints for | subspace | Clustering |
Exploratory analysis of point proximity in | subspace | s |
Expression-Reinforced Sparse | subspace | Clustering By Orthogonal Matching Pursuit, An |
Extended | subspace | Methods of Pattern-Recognition |
Extension of Mutual | subspace | Method for Low Dimensional Feature Projection |
Extracting shared | subspace | incrementally for multi-label image classification |
Face alignment based on fusion | subspace | and 3D fitting |
Face alignment through | subspace | constrained mean-shifts |
Face Alignment with Unified | subspace | Optimization of Active Statistical Models |
Face analysis of aggressive moods in automobile driving using mutual | subspace | method |
Face Detection Using Mixtures of Linear | subspace | s |
Face Image Modeling by Multilinear | subspace | Analysis With Missing Values |
Face Mis-alignment Analysis by Multiple-Instance | subspace | |
Face recognition based on face-specific | subspace | |
Face Recognition by Projection-based 3D Normalization and Shading | subspace | Orthogonalization |
Face Recognition from Unfamiliar Views: | subspace | Methods and Pose Dependency |
Face recognition using direct, weighted linear discriminant analysis and modular | subspace | s |
Face Recognition with Convolutional Neural Networks and | subspace | learning |
Face Recognition with the Multiple Constrained Mutual | subspace | Method |
Facial Deblur Inference Using | subspace | Analysis for Recognition of Blurred Faces |
Facial expression recognition using statistical | subspace | |
Fast Adaptive Local | subspace | Learning With Regressive Regularization |
Fast Adaptive Robust | subspace | Tracking for Online Background Subtraction |
Fast algorithm for large-scale | subspace | clustering by LRR |
fast and accurate cascade | subspace | face/eye detector on mobile devices, A |
Fast and Latent Low-Rank | subspace | Clustering for Hyperspectral Band Selection |
Fast deformable matching of 3D images over multiscale nested | subspace | s. Application to atlas-based MRI segmentation |
Fast Face Detection using | subspace | Discriminant Wavelet Features |
Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-Iterative | subspace | -Based Fusion |
Fast image inpainting using similarity of | subspace | method |
Fast LV motion estimation using | subspace | approximation techniques |
Fast Multi-view | subspace | Clustering with Balance Anchors Guidance |
Fast Nearest | subspace | Search via Random Angular Hashing |
Fast Non-uniform Deblurring using Constrained Camera Pose | subspace | |
Fast Parameter-Free Multi-View | subspace | Clustering With Consensus Anchor Guidance |
Fast Self-Guided Multi-View | subspace | Clustering |
Fast | subspace | Clustering Based on the Kronecker Product |
Fast | subspace | clustering by learning projective block diagonal representation |
Fast | subspace | estimation with Rayleigh-Ritz approximation and multi-stage Wiener filter |
Fast | subspace | Methods for Recovering Rigid Motion, A |
Fast | subspace | Search via Grassmannian Based Hashing |
Fast | subspace | -based tensor data filtering |
Fault Detection in Distributed Systems by Representative | subspace | Mapping |
feature group weighting method for | subspace | clustering of high-dimensional data, A |
Feature interaction in | subspace | clustering using the Choquet integral |
Feature Selection Based Transfer | subspace | Learning for Speech Emotion Recognition |
Feature Selection Embedded | subspace | Clustering |
Feature selection in the independent component | subspace | for face recognition |
Feature | subspace | determination in video-based mismatched face recognition |
Feature | subspace | s selection via one-class SVM: Application to textured image segmentation |
Filtrated Algebraic | subspace | Clustering |
Filtrated Spectral Algebraic | subspace | Clustering |
Finding the | subspace | Mean or Median to Fit Your Need |
FLoSS: Facility location for | subspace | segmentation |
Forming Different-Complexity Covariance-Model | subspace | s through Piecewise-Constant Spectra for Hyperspectral Image Classification |
Frame synchronization and multi-level | subspace | analysis for video based face recognition |
Framework for 3D Object Recognition Using the Kernel Constrained Mutual | subspace | Method, A |
Framework for Robust | subspace | Learning, A |
Frequency | subspace | amplitude flow for phase retrieval |
Frequency-Hopping | subspace | -Based Optimization Method for Reconstruction of 2-D Large Uniaxial Anisotropic Scatterers With TE Illumination, A |
From dictionary of visual words to | subspace | s: Locality-constrained affine subspace coding |
From dictionary of visual words to | subspace | s: Locality-constrained affine subspace coding |
From Local Geometry to Global Structure: Learning Latent | subspace | for Low-resolution Face Image Recognition |
From | subspace | to Submanifold Methods |
Further results on the | subspace | distance |
Fusion Classification of Hyperspectral Image Based on Adaptive | subspace | Decomposition |
Fuzzy Sparse | subspace | Clustering for Infrared Image Segmentation |
Gait Recognition Based on Constrained Mutual | subspace | Method with CNN Features |
Gait recognition based on sparse linear | subspace | |
Gait Recognition Robust to Speed Transition Using Mutual | subspace | Method |
general framework for Approximate Nearest | subspace | search, A |
general framework for | subspace | detection in unordered multidimensional data, A |
general | subspace | ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition, A |
Generalized Latent Multi-View | subspace | Clustering |
Generalized Multi-View Collaborative | subspace | Clustering |
Generalized Mutual | subspace | Based Methods for Image Set Classification |
Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View | subspace | Clustering |
Generalized Orthogonal | subspace | Projection Approach to Unsupervised Multispectral Image Classification, A |
Generalized Robust Regression for Jointly Sparse | subspace | Learning |
Generalized Semi-supervised and Structured | subspace | Learning for Cross-Modal Retrieval |
Generalized | subspace | based high dimensional density estimation |
Generalized | subspace | Learning by Roweis Discriminant Analysis |
Generalized | subspace | pursuit and an application to sparse poisson denoising |
Generalized | subspace | rules for on-line PCA and their application in signal and image compression |
Generalized Transfer | subspace | Learning Through Low-Rank Constraint |
genetic-based | subspace | analysis method for improving Error-Correcting Output Coding, A |
Geodesic Flow Kernel Support Vector Machine for Hyperspectral Image Classification by Unsupervised | subspace | Feature Transfer |
Geometric Estimation via Robust | subspace | Recovery |
Geometric Mean for | subspace | Selection |
GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted | subspace | Modeling |
Global and local structure preserving nonnegative | subspace | clustering |
Global and local structure preserving sparse | subspace | learning: An iterative approach to unsupervised feature selection |
global-local affinity matrix model via EigenGap for graph-based | subspace | clustering, A |
GODS: Generalized One-Class Discriminative | subspace | s for Anomaly Detection |
GOSUS: Grassmannian Online | subspace | Updates with Structured-Sparsity |
Gradient-based | subspace | phase correlation for fast and effective image alignment |
Graph Based | subspace | Semi-supervised Learning Framework for Dimensionality Reduction, A |
Graph connectivity in sparse | subspace | clustering |
Graph Convolutional | subspace | Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image |
Graph Convolutional | subspace | Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image |
Graph-embedded | subspace | support vector data description |
Graph-Induced Aligned Learning on | subspace | s for Hyperspectral and Multispectral Data |
Graph-Laplacian Correlated Low-Rank Representation for | subspace | Clustering |
Grassmannian | subspace | Prediction for Precoded Spatial Multiplexing MIMO With Delayed Feedback |
Greedy approaches to semi-supervised | subspace | learning |
Grouping points by shared | subspace | s for effective subspace clustering |
Grouping points by shared | subspace | s for effective subspace clustering |
Growing | subspace | Pattern-Recognition Methods and Their Neural-Network Models |
Guided Discrimination and Correlation | subspace | Learning for Domain Adaptation |
Guided image filtering using signal | subspace | projection |
Guided neighborhood affine | subspace | embedding for feature matching |
Half-Dimension | subspace | Decomposition for Fast Direction Finding With Arbitrary Linear Arrays |
Hallucinating optimal high-dimensional | subspace | s |
Hand Shape Recognition Based on Kernel Orthogonal Mutual | subspace | Method |
Handling uncertain data in | subspace | detection |
Harmonic mean for | subspace | selection |
Head pose estimation using multilinear | subspace | analysis for robot human awareness |
Heavy-Tailed Model for Visual Tracking via Robust | subspace | Learning |
Hebbian learning | subspace | method: A new approach |
Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation | subspace | |
Heterogeneous face recognition via grassmannian based nearest | subspace | search |
Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank | subspace | Representations for PolSAR Imagery Classification, A |
Hierarchical Sparse | subspace | Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis |
Hierarchical Union-of- | subspace | s Model for Human Activity Summarization |
High-Order Correlation Preserved Incomplete Multi-View | subspace | Clustering |
High-order manifold regularized multi-view | subspace | clustering with robust affinity matrices and weighted TNN |
High-Quality MR Fingerprinting Reconstruction Using Structured Low-Rank Matrix Completion and | subspace | Projection |
High-Resolution, Quantitative Signal | subspace | Imaging for Synthetic Aperture Radar |
Higher Order | subspace | Algorithm for Multichannel Speech Enhancement, A |
Higher-level representation of local spatio-temporal features for human action recognition using | subspace | Matching Kernels |
Hilbert Functions and Applications to the Estimation of | subspace | Arrangements |
Homology Computations via Acyclic | subspace | |
Human action recognition based on graph-embedded spatio-temporal | subspace | |
Human Detection by Quadratic Classification on | subspace | of Extended Histogram of Gradients |
Human facial expression recognition based on learning | subspace | method |
Human Motion Segmentation via Robust Kernel Sparse | subspace | Clustering |
Human skin detection through correlation rules between the YCb and YCr | subspace | s based on dynamic color clustering |
hybrid classification algorithm by | subspace | partitioning through semi-supervised decision tree, A |
Hybrid Sparse | subspace | Clustering for Visual Tracking |
Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank | subspace | Representation and Self-Supervised Deep Network |
Hyperspectral Image Classification Based on Two-Stage | subspace | Projection |
Hyperspectral Image Classification With Imbalanced Data Based on Orthogonal Complement | subspace | Projection |
Hyperspectral Image Compressive Sensing Reconstruction Using | subspace | -Based Nonlocal Tensor Ring Decomposition |
Hyperspectral Image Kernel Sparse | subspace | Clustering With Spatial Max Pooling Operation |
Hyperspectral Image Mixed Noise Removal Using a | subspace | Projection Attention and Residual Channel Attention Network |
Hyperspectral Image Mixed Noise Removal Using | subspace | Representation and Deep CNN Image Prior |
Hyperspectral image restoration by | subspace | representation with low-rank constraint and spatial-spectral total variation |
Hyperspectral Image Super-Resolution via | subspace | -Based Low Tensor Multi-Rank Regularization |
Hyperspectral Signal | subspace | Identification in the Presence of Rare Signal Components |
Hyperspectral Signal | subspace | Identification in the Presence of Rare Vectors and Signal-Dependent Noise |
Hyperspectral subpixel target detection based on interaction | subspace | model |
Hyperspectral | subspace | Identification |
Hyperspectral target detection using kernel matched | subspace | detector |
Hyperspectral Target Detection Using Kernel Orthogonal | subspace | Projection |
Hyperspectral Unmixing via Latent Multiheterogeneous | subspace | |
iCmSC: Incomplete Cross-Modal | subspace | Clustering |
Illumination | subspace | for Multibody Motion Segmentation |
Image Autocoregistration and InSAR Interferogram Estimation Using Joint | subspace | Projection |
Image Categorization by Learned Nonlinear | subspace | of Combined Visual-Words and Low-Level Features |
Image classification by multimodal | subspace | learning |
Image Classification by Selective Regularized | subspace | Learning |
Image Correspondence from Motion | subspace | Constraint and Epipolar Constraint |
Image covariance-based | subspace | method for face recognition |
Image Enhancement Based on Signal | subspace | Approach |
Image feature representation by the | subspace | of nonlinear PCA |
Image interpolation by high dimensional projection based on | subspace | method |
Image Projection Ridge Regression for | subspace | Clustering |
Image recognition by learned linear | subspace | of combined bag-of-features and low-level features |
Image recognition via two-dimensional random projection and nearest constrained | subspace | |
Image retrieval based on incremental | subspace | learning |
Image retrieval by | subspace | -projected color and texture features |
Image segmentation through energy minimization based | subspace | fusion |
Image Structure | subspace | Learning Using Structural Similarity Index |
Image tag completion and refinement by | subspace | clustering and matrix completion |
Impact of Dynamics on | subspace | Embedding and Tracking of Sequences |
implication of data diversity for a classifier-free ensemble selection in random | subspace | s, The |
Imposing Hard Constraints on Deformable Models Through Optimization in Orthogonal | subspace | s |
Improved Analysis for | subspace | Pursuit Algorithm in Terms of Restricted Isometry Constant |
Improved Image Set Classification via Joint Sparse Approximated Nearest | subspace | s |
Improved Matching Accuracy in Traffic Sign Recognition by Using Different Feature | subspace | s |
Improved motion segmentation using Locally sampled | subspace | s |
Improved SR-SSIM Band Selection Method Based on Band | subspace | Partition |
Improved | subspace | clustering via exploitation of spatial constraints |
Improved | subspace | -Based Optimization Method and Its Implementation in Solving Three-Dimensional Inverse Problems, An |
Improving Hough Based Pedestrian Detection Accuracy by Using Segmentation and Pose | subspace | s |
Improving indoor and outdoor face recognition using unified | subspace | analysis and Gabor features |
Improving Person Re-Identification by Efficient Pairwise-Specific CRC Coding in the XQDA | subspace | |
Improving the Recognition of Occluded Faces by Means of Two-dimensional Orthogonal Projection into Local | subspace | s |
Improving the Robustness of | subspace | FR System |
In vivo tracking of 3D organs using spherical harmonics and | subspace | clustering |
Incorporating Patch | subspace | Model in Mumford-Shah Type Active Contours |
Incremental and Multi-feature Tensor | subspace | Learning Applied for Background Modeling and Subtraction |
Incremental and robust learning of | subspace | representations |
Incremental Embedding and Learning in the Local Discriminant | subspace | With Application to Face Recognition |
Incremental Learning of Locally Orthogonal | subspace | s for Set-based Object Recognition |
Incremental | subspace | Learning for Cognitive Visual Processes |
Incremental | subspace | learning via non-negative matrix factorization |
Incremental Tensor | subspace | Learning and Its Applications to Foreground Segmentation and Tracking |
Individual Kernel Tensor- | subspace | s for Robust Face Recognition: A Computationally Efficient Tensor Framework Without Requiring Mode Factorization |
Inexact implementation using Krylov | subspace | methods for large scale exponential discriminant analysis with applications to high dimensionality reduction problems |
Inference of multiple | subspace | s from high-dimensional data and application to multibody grouping |
Inferring Urban Land Use from Multi-Source Urban Mobility Data Using Latent Multi-View | subspace | Clustering |
Influence functions for a linear | subspace | method |
Infrared Dim and Small Target Detection via Multiple | subspace | Learning and Spatial-Temporal Patch-Tensor Model |
Instance-Level Coupled | subspace | Learning for Fine-Grained Sketch-Based Image Retrieval |
Integration of Face and Speaker Recognition by | subspace | Method |
Intensity-only signal- | subspace | -based imaging |
Inter- | subspace | distance: a new method for face recognition with multiple samples |
Intra-class multi-output regression based | subspace | analysis |
Intrapersonal | subspace | Analysis with Application to Adaptive Bayesian Face Recognition |
Intrinsic dimension estimation via nearest constrained | subspace | classifier |
Intrinsic Grassmann Averages for Online Linear and Robust | subspace | Learning |
Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear | subspace | Learning |
Intrinsic Illumination | subspace | for Lighting Insensitive Face Recognition |
Intrinsic Spin Images: A | subspace | decomposition approach to understanding 3D deformable shapes |
Introducing Locality and Softness in | subspace | Classification |
Invariant | subspace | learning for time series data based on dynamic time warping distance |
Inverse Rendering of Lambertian Surfaces Using | subspace | Methods |
Iris recognition based on sparse representation and k-nearest | subspace | with genetic algorithm |
Is an Affine Constraint Needed for Affine | subspace | Clustering? |
ISAR Image Analysis by | subspace | Method: Automatic Extraction and Identification of Ship Profile |
Iterative Deep | subspace | Clustering |
Iterative keyframe selection by orthogonal | subspace | projection |
Iterative online | subspace | learning for robust image alignment |
Iterative | subspace | Analysis Based on Feature Line Distance |
JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local | subspace | s |
Joint and Progressive | subspace | Analysis (JPSA) With Spatial-Spectral Manifold Alignment for Semisupervised Hyperspectral Dimensionality Reduction |
Joint Bayesian Estimation of Close | subspace | s from Noisy Measurements |
Joint cross-domain classification and | subspace | learning for unsupervised adaptation |
Joint Discriminative Latent | subspace | Learning for Image Classification |
Joint Feature Selection and | subspace | Learning for Cross-Modal Retrieval |
Joint Image Coregistration, Phase Noise Suppression, and Phase Unwrapping Method Based on | subspace | Projection for Multibaseline InSAR Systems, A |
Joint Local-Global Discriminative | subspace | Transfer Learning for Facial Expression Recognition |
Joint Sparsity Based Sparse | subspace | Clustering for Hyperspectral Images |
Joint | subspace | Learning for View-Invariant Gait Recognition |
Joint | subspace | Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning |
Joint | subspace | Stabilization for Stereoscopic Video |
Joint T1 and T2 Mapping With Tiny Dictionaries and | subspace | -Constrained Reconstruction |
Jointly Learning Dictionaries and | subspace | Structure for Video-Based Face Recognition |
JSL3d: Joint | subspace | learning with implicit structure supervision for 3D pose estimation |
k-means type clustering algorithm for | subspace | clustering of mixed numeric and categorical datasets, A |
Karhunen-Loeve | subspace | |
Kernel and | subspace | methods for computer vision |
Kernel Based Nonlinear | subspace | Projection Method for Reduction of Hyperspectral, Image Dimensionality, A |
Kernel Based | subspace | Projection of Near Infrared Hyperspectral Images of Maize Kernels |
Kernel Fukunaga-Koontz Transform | subspace | s For Enhanced Face Recognition |
Kernel Matched | subspace | Detectors for Hyperspectral Target Detection |
Kernel optimization using nonparametric Fisher criterion in the | subspace | |
Kernel Orthogonal Mutual | subspace | Method and Its Application to 3D Object Recognition, The |
Kernel Orthogonal | subspace | Projection for Hyperspectral Signal Classification |
Kernel Pooled Local | subspace | s for Classification |
Kernel propagation strategy: A novel out-of-sample propagation projection for | subspace | learning |
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 | subspace | alignment for unsupervised domain adaptation |
Kernel | subspace | Integral Image Based Probabilistic Visual Object Tracking |
Kernel | subspace | LDA with optimized kernel parameters on face recognition |
Kernel | subspace | pursuit for sparse regression |
Kernel two-dimensional ridge regression for | subspace | clustering |
Kernelized Multiview | subspace | Analysis By Self-Weighted Learning |
Kernelized | subspace | Pooling for Deep Local Descriptors |
Kernelized | subspace | Ranking for Saliency Detection |
Kernelized View Adaptive | subspace | Learning for Person Re-identification |
Kinship Classification through Latent Adaptive | subspace | |
Krylov | subspace | iterative techniques: on the detection of brain activity with electrical impedance tomography |
L0-Sparse | subspace | Clustering |
L1- | subspace | Tracking for Streaming Data |
Labelset anchored | subspace | ensemble (LASE) for multi-label annotation |
Lambertian Reflectance and Linear | subspace | s |
Landmarks-based kernelized | subspace | alignment for unsupervised domain adaptation |
Landslide Susceptibility Modeling Using Remote Sensing Data and Random | subspace | -Based Functional Tree Classifier |
Laplacian Support Vector Analysis for | subspace | Discriminative Learning |
Laplacian-Regularized Low-Rank | subspace | Clustering for Hyperspectral Image Band Selection |
Large Margin | subspace | Learning for feature selection |
Large-Margin Predictive Latent | subspace | Learning for Multiview Data Analysis |
Large-Scale Multi-View Clustering via Fast Essential | subspace | Representation Learning |
Late Fusion via | subspace | Search With Consistency Preservation |
Latent Complete Row Space Recovery for Multi-View | subspace | Clustering |
Latent Low-Rank Representation for | subspace | segmentation and feature extraction |
Latent Multi-view | subspace | Clustering |
Latent Space Sparse | subspace | Clustering |
Latent | subspace | Projection Pursuit with Online Optimization for Robust Visual Tracking |
LCS: Learning Compressible | subspace | s for Efficient, Adaptive, Real-Time Network Compression at Inference Time |
Learn++.MF: A random | subspace | approach for the missing feature problem |
Learnable low-rank latent dictionary for | subspace | clustering |
Learnable | subspace | Orthogonal Projection for Semi-supervised Image Classification |
Learning a Joint Affinity Graph for Multiview | subspace | Clustering |
Learning a locality preserving | subspace | for visual recognition |
Learning a Self-Expressive Network for | subspace | Clustering |
Learning a Spatially Smooth | subspace | for Face Recognition |
Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving | subspace | for Visual Recognition |
Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set | subspace | Clustering |
Learning an Orthogonal and Smooth | subspace | for Image Classification |
Learning binary code for fast nearest | subspace | search |
Learning dictionary via | subspace | segmentation for sparse representation |
Learning Disentangled Representations via Independent | subspace | s |
Learning Feature | subspace | s for Appearance-Based Bundle Adjustment |
Learning Feature-Sparse Principal | subspace | |
Learning general optical flow | subspace | s for egomotion estimation and detection of motion anomalies |
Learning hierarchical invariant spatio-temporal features for action recognition with independent | subspace | analysis |
Learning invariances with Stationary | subspace | Analysis |
Learning Kernel | subspace | Classifier |
Learning Manifold Structures With | subspace | Segmentations |
Learning Multi-view Correspondences via | subspace | -Based Temporal Coincidences |
Learning Multiview Face | subspace | s and Facial Pose Estimation Using Independent Component Analysis |
Learning Robust Graph Regularisation for | subspace | Clustering |
Learning robust latent | subspace | for discriminative regression |
Learning sample | subspace | with application to face detection |
Learning Style | subspace | s for Controllable Unpaired Domain Translation |
Learning | subspace | Classification Using Subset Approximated Kernel Principal Component Analysis |
Learning | subspace | Classifiers and Error Corrective Feature Extraction |
Learning the Distribution Preserving Semantic | subspace | for Clustering |
Learning vector quantization with local | subspace | classifier |
Learning-Based Clutter Mitigation with | subspace | Projection and Sparse Representation in Holographic Subsurface Radar Imaging |
Lesion Detection in Dynamic FDG-PET Using Matched | subspace | Detection |
LESS: A Model-Based Classifier for Sparse | subspace | s |
Lighting Normalization with Generic Intrinsic Illumination | subspace | for Face Recognition |
Linear and Bilinear | subspace | Methods for Structure from Motion |
linear discriminant analysis framework based on random | subspace | for face recognition, A |
Linear Solution to 1-Dimensional | subspace | Fitting under Incomplete Data, A |
linear | subspace | learning approach via sparse coding, A |
Linear | subspace | Methods for Recovering Translation Direction |
Linear | subspace | Ranking Hashing for Cross-Modal Retrieval |
Linear | subspace | s for facial expression recognition |
Linear | subspace | s for Illumination Robust Face Recognition |
Linked Source and Target Domain | subspace | Feature Transfer Learning -- Exemplified by Speech Emotion Recognition |
Local Abnormality Detection in Video Using | subspace | Learning |
Local autocorrelation of similarities with | subspace | s for shift invariant scene classification |
Local Binary Patterns Based on | subspace | Representation of Image Patch for Face Recognition |
Local co-occurrence features in | subspace | obtained by KPCA of local blob visual words for scene classification |
Local discriminative based sparse | subspace | learning for feature selection |
Local Self-Expression | subspace | Learning Network for Motion Capture Data |
Local | subspace | Classifier with Gabor Filter Decomposition for Image Classification |
Local | subspace | Classifier with Transformation Invariance for Appearance-Based Character Recognition in Natural Images |
Local | subspace | Collaborative Tracking |
Local | subspace | method for pattern recognition |
Locality Preserving Robust Regression for Jointly Sparse | subspace | Learning |
Locality-constrained affine | subspace | coding for image classification and retrieval |
Localized versus Locality-Preserving | subspace | Projections for Face Recognition |
Locally adaptive | subspace | and similarity metric learning for visual data clustering and retrieval |
Locally Linear Models on Face Appearance Manifolds with Application to Dual- | subspace | Based Classification |
Logarithmic Schatten-p Norm Minimization for Tensorial Multi-View | subspace | Clustering |
Low Bit-Rate Compression Image Restoration through | subspace | Joint Regression Learning |
Low Cost FPGA-Based Highly Accurate Face Recognition System using Combined Wavelets with | subspace | Methods |
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny | subspace | s |
Low Rank Representation on Product Grassmann Manifolds for Multi-view | subspace | Clustering |
Low rank representation with adaptive distance penalty for semi-supervised | subspace | classification |
Low rank | subspace | clustering (LRSC) |
Low-Rank and Sparse Tensor Representation for Multi-View | subspace | Clustering |
Low-rank and structured sparse | subspace | clustering |
Low-rank embedded orthogonal | subspace | learning for zero-shot classification |
Low-Rank Matrix Fitting Based on | subspace | Perturbation Analysis with Applications to Structure from Motion |
Low-Rank Regularized Heterogeneous Tensor Decomposition for | subspace | Clustering |
Low-Rank | subspace | Representation for Estimating the Number of Signal Subspaces in Hyperspectral Imagery |
Low-Rank | subspace | Representation for Estimating the Number of Signal Subspaces in Hyperspectral Imagery |
Low-Rank | subspace | Representation from Optimal Coded-Aperture for Unsupervised Classification of Hypersepctral Imagery |
Low-Rank Tensor Constrained Multiview | subspace | Clustering |
Low-Rank Tensor Graph Learning for Multi-View | subspace | Clustering |
Low-Rank Tensor | subspace | Learning for RGB-D Action Recognition |
Low-Rank-Sparse | subspace | Representation for Robust Regression |
Low-Tubal-Rank Plus Sparse Tensor Recovery With Prior | subspace | Information |
Low-Tubal-Rank tensor recovery with multilayer | subspace | prior learning |
Lq-Closest-Point to Affine | subspace | s Using the Generalized Weiszfeld Algorithm |
LSM: Learning | subspace | Minimization for Low-Level Vision |
Majorize-Minimize Strategy for | subspace | Optimization Applied to Image Restoration, A |
Majorize-Minimize | subspace | Approach for L_2-L_0 Image Regularization, A |
Malware Detection Using Kernel Constrained | subspace | Method |
Maneuvering Target Detection Based on | subspace | Subaperture Joint Coherent Integration |
Manifold Enhanced 2-D Fuzzy | subspace | Clustering for Image Data |
Manifold learning with structured | subspace | for multi-label feature selection |
Manifold Regularized Multi-view | subspace | Clustering for image representation |
Manifold-enhanced Segmentation through Random Walks on Linear | subspace | Priors |
Matched affine joint | subspace | detection in remote hyperspectral reconnaissance |
matched | subspace | detector with interaction effects, The |
Matching thermal to visible face images using hidden factor analysis in a cascaded | subspace | learning framework |
Mathematical Aspects of Tensor | subspace | Method |
Matrix-Based Discriminant | subspace | Ensemble for Hyperspectral Image Spatial-Spectral Feature Fusion |
Maximum Block Energy Guided Robust | subspace | Clustering |
Maximum Correntropy Criterion-Based Sparse | subspace | Learning for Unsupervised Feature Selection |
Maximum Entropy | subspace | Clustering Network |
Maximum Likelihood Estimation for Multiple Camera Target Tracking on Grassmann Tangent | subspace | |
Maximum Likelihood Estimation of Toeplitz-Block-Toeplitz Covariances in the Presence of | subspace | Interference |
Maximum Likelihood Orientation Estimation of 1-D Patterns in Laguerre-Gauss | subspace | s |
Maximum Margin Linear Classifiers in Unions of | subspace | s |
Maximum Margin Projection | subspace | Learning for Visual Data Analysis |
Mean shift-based Bayesian image reconstruction into visual | subspace | |
Membership representation for detecting block-diagonal structure in low-rank or sparse | subspace | clustering |
Merging | subspace | Models for Face Recognition |
Method with Adaptive Graphs to Constrain Multi-View | subspace | Clustering of Geospatial Big Data from Multiple Sources, A |
Minimal Basis Facility Location for | subspace | Segmentation |
Minimal Basis | subspace | Representation: A Unified Framework for Rigid and Non-rigid Motion Segmentation |
Minimal-memory bit-vector architecture for computational mathematical morphology using | subspace | projections |
Minimizing dataset bias: Discriminative multi-task sparse coding through shared | subspace | learning for image classification |
Minimum Effective Dimension for Mixtures of | subspace | s: A Robust GPCA Algorithm and its Applications |
Mining Uncertain Data in Low-dimensional | subspace | |
Mining Visual Collocation Patterns via Self-Supervised | subspace | Learning |
Mixture of | subspace | s Image Representation and Compact Coding for Large-Scale Image Retrieval |
Mixtures of Local Linear | subspace | s for Face Recognition |
Monaural Source Separation Using Ramanujan | subspace | Dictionaries |
Monte Carlo | subspace | method: An incremental approach to high-dimensional data classification |
Moreau-Enhanced Total Variation and | subspace | Factorization for Hyperspectral Denoising |
Motion Basis Learning for Unsupervised Deep Homography Estimation with | subspace | Projection |
Motion Segmentation by | subspace | Separation and Model Selection |
Motion Segmentation by | subspace | Separation: Model Selection and Reliability Evaluation |
Motion Segmentation by Velocity Clustering with Estimation of | subspace | Dimension |
Motion Segmentation Using Feature Selection and | subspace | Method Based on Shape Space |
Motion segmentation via robust | subspace | separation in the presence of outlying, incomplete, or corrupted trajectories |
MSDH: Matched | subspace | detector with heterogeneous noise |
Multi | subspace | s Active Appearance Models |
Multi-Attribute | subspace | Clustering via Auto-Weighted Tensor Nuclear Norm Minimization |
Multi-Class Joint | subspace | Learning for Cross-Modal Retrieval |
Multi-Directional | subspace | Editing in Style-Space |
Multi-Frame Correspondence Estimation Using | subspace | Constraints |
Multi-Frame Optical Flow Estimation using | subspace | Constraints |
Multi-kernel sparse | subspace | clustering on the Riemannian manifold of symmetric positive definite matrices |
Multi-Level Representation Learning for Deep | subspace | Clustering |
Multi-modal | subspace | learning with dropout regularization for cross-modal recognition and retrieval |
Multi-modal | subspace | Learning with Joint Graph Regularization for Cross-Modal Retrieval |
Multi-Mutual Consistency Induced Transfer | subspace | Learning for Human Motion Segmentation |
Multi-Objective Sparse | subspace | Clustering for Hyperspectral Imagery |
Multi-patch deep sparse histograms for iris recognition in visible spectrum using collaborative | subspace | for robust verification |
Multi-resolution | subspace | for financial trading |
Multi-Scale Fusion | subspace | Clustering Using Similarity Constraint |
Multi-source transfer learning based on label shared | subspace | |
Multi-View Feature Boosting Network for Deep | subspace | Clustering |
Multi-view low-rank sparse | subspace | clustering |
Multi-View MERA | subspace | Clustering |
Multi-view | subspace | Clustering |
Multi-View | subspace | Clustering for Face Images |
Multi-View | subspace | Clustering via Simultaneously Learning the Representation Tensor and Affinity Matrix |
Multi-view | subspace | clustering with intactness-aware similarity |
Multi-View | subspace | Constraints on Homographies |
Multi-view | subspace | learning via bidirectional sparsity |
Multibody Grouping by Inference of Multiple | subspace | s from High-Dimensional Data Using Oriented-Frames |
Multibody Grouping via Orthogonal | subspace | Decomposition |
Multichannel Image Completion With Mixture Noise: Adaptive Sparse Low-Rank Tensor | subspace | Meets Nonlocal Self-Similarity |
Multidataset independent | subspace | analysis extends independent vector analysis |
Multidataset Independent | subspace | Analysis With Application to Multimodal Fusion |
Multidomain | subspace | Classification for Hyperspectral Images |
Multifamily GLRT for CFAR Detection of Signals in a Union of | subspace | s, A |
Multilinear | subspace | analysis of image ensembles |
Multilinear | subspace | Method Based on Geodesic Distance for Volumetric Object Classification |
Multimedia annotation via semi-supervised shared- | subspace | feature selection |
Multimodal Deep Sparse | subspace | Clustering for Multiple Stimuli-based Cognitive task |
Multimodal | subspace | support vector data description |
Multiple feature fusion by | subspace | learning |
Multiple feature | subspace | s analysis for single sample per person face recognition |
Multiple instance | subspace | learning via partial random projection tree for local reflection symmetry in natural images |
Multiple pattern classification by sparse | subspace | decomposition |
Multiple Similarities Based Kernel | subspace | Learning for Image Classification |
Multiple | subspace | Model and Image-Inpainting Algorithm Based on Multiple Matrix Rank Minimization |
Multiple | subspace | s-Based Model: Interpreting Urban Functional Regions with Big Geospatial Data, A |
Multiple view based 3D object classification using ensemble learning of local | subspace | s |
Multiplicative-Regularized FFT Twofold | subspace | -Based Optimization Method for Inverse Scattering Problems |
Multiresolution | subspace | -based optimization method for inverse scattering problems |
Multispectral image compression by cluster-adaptive | subspace | representation |
Multispectral Image Intrinsic Decomposition via | subspace | Constraint |
Multistage Framework With Mean | subspace | Computation and Recursive Feedback for Online Unsupervised Domain Adaptation, A |
Multivariate Brain Mapping by Random | subspace | s |
Multiview Jointly Sparse Discriminant Common | subspace | Learning |
Multiview max-margin | subspace | learning for cross-view gait recognition |
Multiview | subspace | Clustering Using Low-Rank Representation |
MuSpel-Fi: Multipath | subspace | Projection and ELM-Based Fingerprint Localization |
Naive random | subspace | ensemble with linear classifiers for real-time classification of fMRI data |
Narrow-Band Interference Mitigation for SAR Using Independent | subspace | Analysis |
NBNet: Noise Basis Learning for Image Denoising with | subspace | Projection |
Near-ML MIMO | subspace | Detection Algorithm, A |
Nearest Regularized | subspace | for Hyperspectral Classification |
Nearest-neighbour ensembles in lasso feature | subspace | s |
Nearest-Regularized | subspace | Classification for PolSAR Imagery Using Polarimetric Feature Vector and Spatial Information |
Nearest- | subspace | Patch Matching for face recognition under varying pose and illumination |
Nearness to Local | subspace | Algorithm for Subspace and Motion Segmentation |
Nearness to Local | subspace | Algorithm for Subspace and Motion Segmentation |
Neural networks, principal components, and | subspace | |
Neural random | subspace | |
New Algorithm for Robust Estimation of the Signal | subspace | in Hyperspectral Images in the Presence of Rare Signal Components, A |
New Block Matching Algorithm Based on | subspace | and Partial Distance Search Techniques in the Wavelet Domain, A |
new discriminant | subspace | analysis approach for multi-class problems, A |
new GPCA algorithm for clustering | subspace | s by fitting, differentiating and dividing polynomials, A |
New Hybrid Firefly-PSO Optimized Random | subspace | Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping, A |
new method for finding clusters embedded in | subspace | s applied to medical tomography scan image, A |
New Objective Function for Ensemble Selection in Random | subspace | s, A |
New Sparse | subspace | Clustering by Rotated Orthogonal Matching Pursuit, A |
new | subspace | learning method in Fourier domain for texture classification, A |
New Target Detector Based on | subspace | Projections Using Polarimetric SAR Data, A |
New Theory and Faster Computations for | subspace | -Based Sensitivity Map Estimation in Multichannel MRI |
News2meme: An Automatic Content Generator from News Based on Word | subspace | s from Text and Image |
Nine Points of Light: Acquiring | subspace | s for Face Recognition under Variable Lighting |
Non-Iterative | subspace | -Based DOA Estimation in the Presence of Nonuniform Noise |
Non-linear Temporal | subspace | Representations for Activity Recognition |
Non-negative | subspace | Representation Learning Scheme for Correlation Filter Based Tracking |
Non-Orthogonal Binary | subspace | and Its Applications in Computer Vision |
Non-rigid registration between color channels based on joint-histogram entropy in | subspace | |
Nonlinear Metric Learning with Deep Independent | subspace | Analysis Network for Face Verification |
nonlinear orthogonal non-negative matrix factorization approach to | subspace | clustering, A |
Nonlinear | subspace | clustering |
Nonlinear | subspace | clustering for image clustering |
Nonlinear | subspace | clustering using curvature constrained distances |
Nonlinear | subspace | Feature Enhancement for Image Set Classification |
Nonlocal Means Regularized Sketched Reweighted Sparse and Low-Rank | subspace | Clustering for Large Hyperspectral Images |
Nonnegative Laplacian embedding guided | subspace | learning for unsupervised feature selection |
Nonnegative Matrix Factorization on Orthogonal | subspace | |
Nonparametric Learning Via Successive | subspace | Modeling (SSM) |
Nonparametric Statistical Comparison of Principal Component and Linear Discriminant | subspace | s for Face Recognition, A |
Nonparametric | subspace | Analysis for Face Recognition |
Normalized | subspace | Inclusion: Robust clustering of motion subspaces, The |
Normalized | subspace | Inclusion: Robust clustering of motion subspaces, The |
novel dynamic rough | subspace | based selective ensemble, A |
Novel fast block motion estimation in feature | subspace | |
Novel Fast | subspace | Decomposition Using Lanczos Recursion |
Novel Forward-Backward Smoothing-Based Learning | subspace | Method for Recognition of Radar Targets |
novel framework method for non-blind deconvolution using | subspace | images priors, A |
Novel multi-feature Bag-of-Words descriptor via | subspace | random projection for efficient human-action recognition |
Novel Polarimetric Contrast Enhancement Method Based on Minimal Clutter to Signal Ratio | subspace | |
Novel Probabilistic Linear | subspace | Approach for Face Applications, A |
Novel soft | subspace | clustering with multi-objective evolutionary approach for high-dimensional data |
novel | subspace | spatial-spectral low rank learning method for hyperspectral denoising, A |
Novel Technique for Human Face Recognition Using Nonlinear Curvelet Feature | subspace | , A |
Null Space-Based LDA Withweighted Dual Personal | subspace | s for Face Recognition |
Numerical Methods for Computing Angles between Linear | subspace | s |
Nystrom-based approximate kernel | subspace | learning |
O(N) implicit | subspace | embedding for unsupervised multi-scale image segmentation |
Object Localization by | subspace | Clustering of Local Descriptors |
Object Recognition Using | subspace | Methods |
Object tracking by exploiting adaptive region-wise linear | subspace | representations and adaptive templates in an iterative particle filter |
Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal | subspace | Filtering |
oblique | subspace | projection approach for mixed pixel classification in hyperspectral images, An |
Observable | subspace | s for 3D human motion recovery |
Occlusion Handling via Random | subspace | Classifiers for Human Detection |
Occlusion Sensitivity Analysis with Augmentation | subspace | Perturbation in Deep Feature Space |
On Complex Conjugate Pair Sums and Complex Conjugate | subspace | s |
On Gleaning Knowledge From Cross Domains by Sparse | subspace | Correlation Analysis for Hyperspectral Image Classification |
On incremental and robust | subspace | learning |
On optimal | subspace | s for appearance-based object recognition |
On optimizing | subspace | s for face recognition |
On Reliable Multi-View Affinity Learning for | subspace | Clustering |
On Restricting Planar Curve Evolution to Finite Dimensional Implicit | subspace | s with Non-Euclidean Metric |
On some convergence properties of the | subspace | constrained mean shift |
On | subspace | Distance |
On the Behavior of Kernel Mutual | subspace | Method |
On the exact minimization of saturated loss functions for robust regression and | subspace | estimation |
On Translation Invariant | subspace | s and Critically Sampled Wavelet Transforms |
On Using Prototype Reduction Schemes and Classifier Fusion Strategies to Optimize Kernel-Based Nonlinear | subspace | Methods |
On using prototype reduction schemes to optimize kernel-based nonlinear | subspace | methods |
On Utilizing Search Methods to Select | subspace | Dimensions for Kernel-Based Nonlinear Subspace Classifiers |
On Utilizing Search Methods to Select | subspace | Dimensions for Kernel-Based Nonlinear Subspace Classifiers |
On-line Learning of Mutually Orthogonal | subspace | s for Face Recognition by Image Sets |
Online Algorithm for Efficient and Temporally Consistent | subspace | Clustering, An |
Online Data Thinning via Multi- | subspace | Tracking |
Online Low-Rank Representation Learning for Joint Multi- | subspace | Recovery and Clustering |
Online Robust Image Alignment via | subspace | Learning from Gradient Orientations |
Online Semantic | subspace | Learning with Siamese Network for UAV Tracking |
Online source number estimation based on sequential hypothesis test and | subspace | tracking |
Online | subspace | Learning from Gradient Orientations for Robust Image Alignment |
Optimal feature selection for | subspace | image matching |
Optimal | subspace | Analysis for Face Recognition, An |
Optimization Algorithms on | subspace | s: Revisiting Missing Data Problem in Low-Rank Matrix |
Optimizing nearest neighbour in random | subspace | s using a multi-objective genetic algorithm |
Optimum | subspace | Learning and Error Correction for Tensors |
Oracle Based Active Set Algorithm for Scalable Elastic Net | subspace | Clustering |
Orthogonal LDA in PCA Transformed | subspace | |
Orthogonal | subspace | Based Fast Iterative Thresholding Algorithms for Joint Sparsity Recovery |
Orthogonal | subspace | Projection (OSP) Revisited: A Comprehensive Study and Analysis |
Orthogonal | subspace | Projection Using Data Sphering and Low-Rank and Sparse Matrix Decomposition for Hyperspectral Target Detection |
Orthogonal | subspace | Projection-Based Go-Decomposition Approach to Finding Low-Rank and Sparsity Matrices for Hyperspectral Anomaly Detection |
Out-of-Distribution Detection Using Union of 1-Dimensional | subspace | s |
Overcomplete Deep | subspace | Clustering Networks |
Overview of Robust | subspace | Recovery, An |
Page Rule-Line Removal Using Linear | subspace | s in Monochromatic Handwritten Arabic Documents |
Pairwise Sparsity Preserving Embedding for Unsupervised | subspace | Learning and Classification |
Panoramic Video Separation with Online Grassmannian Robust | subspace | Estimation |
Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape | subspace | |
Pareto-Based Sparse | subspace | Learning Framework, A |
Partial Fourier reconstruction using | subspace | projection |
Partial Hash Update via Hamming | subspace | Learning |
Patch-Based Hippocampus Segmentation Using a Local | subspace | Learning Method |
Performance analysis for a | subspace | decomposition point-source image restoration algorithm |
Period Determination in Cyclo-Stationary Signals by Autocorrelation and Ramanujan | subspace | s |
Person-Specific | subspace | Analysis for Unconstrained Familiar Face Identification |
Personalised face neutralisation based on | subspace | bilinear regression |
Personalized face verification system using owner-specific cluster-dependent LDA- | subspace | |
Persymmetric | subspace | Detection in Structured Interference and Non-Homogeneous Disturbance |
Perturbation Estimation of the | subspace | s for Structure from Motion with Noisy and Missing Data |
Photometric | subspace | for multibody motion segmentation |
Pixelhop++: A Small Successive- | subspace | -Learning-Based (SSL-Based) Model For Image Classification |
PixelHop: A successive | subspace | learning (SSL) method for object recognition |
Point Cloud Attribute Compression via Successive | subspace | Graph Transform |
Poisson Disk Sampling on the Grassmannnian: Applications in | subspace | Optimization |
Poisson nonnegative matrix factorization method with parameter | subspace | clustering constraint for endmember extraction in hyperspectral imagery, A |
Pose Invariant Generic Object Recognition with Orthogonal Axis Manifolds in Linear | subspace | |
Pose-invariant face recognition with parametric linear | subspace | s |
Postmatched-Filtering Image-Domain | subspace | Method for Channel Mismatch Estimation of Multiple Azimuth Channels SAR, A |
Practical Matrix Completion and Corruption Recovery Using Proximal Alternating Robust | subspace | Minimization |
Primal-dual optimization strategies in Huber-L1 optical flow with temporal | subspace | constraints for non-rigid sequence registration |
Principal Component Analysis over Continuous | subspace | s and Intersection of Half-Spaces |
Principal component analysis with tensor train | subspace | |
Principal Manifolds and Bayesian | subspace | s for Visual Recognition |
Principal Manifolds and Probabilistic | subspace | s for Visual Recognition |
Privacy-aware supervised classification: An informative | subspace | based multi-objective approach |
Privacy-Preserving Image Features via Adversarial Affine | subspace | Embeddings |
Probabalistic Models and Informative | subspace | s for Audiovisual Correspondence |
Probabilistic Approach to Linear | subspace | Fitting for Computer Vision Problems, A |
Probabilistic PCA and ICA | subspace | Mixture Models for Image Segmentation |
Probabilistic Sparse | subspace | Clustering Using Delayed Association |
Probabilistic | subspace | Clustering Via Sparse Representations |
Probabilistic | subspace | -based learning of shape dynamics modes for multi-view action recognition |
Probabilistic Temporal | subspace | Clustering |
Progressive graph-based | subspace | transductive learning for semi-supervised classification |
Progressive | subspace | ensemble learning |
Projection into Expression | subspace | s for Face Recognition from Single Sample per Person |
Projective Multiple Kernel | subspace | Clustering |
Projective Structure and Motion from Image Sequences Using | subspace | Methods |
pROST: a smoothed lp -norm robust online | subspace | tracking method for background subtraction in video |
Prototype-based class-specific nonlinear | subspace | learning for large-scale face verification |
Provable Self-Representation Based Outlier Detection in a Union of | subspace | s |
PSASL: Pixel-Level and Superpixel-Level Aware | subspace | Learning for Hyperspectral Image Classification |
Pseudo-Supervised Deep | subspace | Clustering |
Pure graph-guided multi-view | subspace | clustering |
Purity-Preserving Kernel Tensor Low-Rank Learning for Robust | subspace | Clustering |
Push for Center Learning via Orthogonalization and | subspace | Masking for Person Re-Identification |
QR Iterative | subspace | Identification and Its Application in Image Denoising |
QR-code Reconstruction from Event Data via Optimization in Code | subspace | |
Random Sampling for | subspace | Face Recognition |
Random | subspace | based ensemble sparse representation |
Random | subspace | Ensembles for fMRI Classification |
Random | subspace | Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles |
Random | subspace | for an improved BioHashing for face authentication |
Random | subspace | Method for Constructing Decision Forests, The |
Random | subspace | method for multivariate feature selection |
Random | subspace | Method in Text Categorization |
Random | subspace | Supervised Descent Method for Regression Problems in Computer Vision |
Random | subspace | -Based k-Nearest Class Collaborative Representation for Hyperspectral Image Classification |
Random | subspace | s and Subsampling for 2-D Face Recognition |
Randomized | subspace | Learning Based Anomaly Detector for Hyperspectral Imagery, A |
Randomized | subspace | Newton Convex Method Applied to Data-Driven Sensor Selection Problem |
Rank-sparsity balanced representation for | subspace | clustering |
Real-time object tracking via optimal feature | subspace | |
Real-Time | subspace | -Based Background Modeling Using Multi-channel Data |
Reciprocal Multi-Layer | subspace | Learning for Multi-View Clustering |
Recognition from Appearance | subspace | s Across Image Sets of Variable Scale |
Recognition of expression variant faces using weighted | subspace | s |
Recognizing Actions across Cameras by Exploring the Correlated | subspace | |
Recognizing Human Activities from Silhouettes: Motion | subspace | and Factorial Discriminative Graphical Model |
Recognizing Human-Object Interactions Using Sparse | subspace | Clustering |
Reconstruction and Recognition of Tensor-Based Objects With Concurrent | subspace | s Analysis |
Reconstruction regularized low-rank | subspace | learning for cross-modal retrieval |
Recovering complex non-rigid 3D structures from monocular images by union of nonlinear | subspace | s |
Recovery of | subspace | Structure from High-Rank Data with Missing Entries |
Recursive 3-D Visual-Motion Estimation Using | subspace | Constraints |
Recursive Separation of Stationary Components by | subspace | Projection and Stochastic Constraints |
Regression Model in Tensor PCA | subspace | for Face Image Super-resolution Reconstruction, A |
Regularized 2-D complex-log spectral analysis and | subspace | reliability analysis of micro-Doppler signature for UAV detection |
Regularized constraint | subspace | based method for image set classification |
Regularized | subspace | Gaussian Mixture Models for Speech Recognition |
Reinterpretation and Enhancement of Signal- | subspace | -Based Imaging Methods For Extended Scatterers |
Relevance feedback in content-based image retrieval: Bayesian framework, feature | subspace | s, and progressive learning |
Relevant pattern selection for | subspace | learning |
Remotely Sensed Soil Moisture Assimilation in the Distributed Hydrological Model Based on the Error | subspace | Transform Kalman Filter |
Removal of Translation Bias when using | subspace | Methods |
Research of STRAIGHT Spectrogram and Difference | subspace | Algorithm for Speech Recognition |
Residual Encoder-Decoder Network For Deep | subspace | Clustering |
Resolution improvement using enriched Krylov | subspace | for microwave tomography breast imaging system |
Restricted Connection Orthogonal Matching Pursuit for Sparse | subspace | Clustering |
Restricted Isometry Property of | subspace | Projection Matrix Under Random Compression |
Reweighted sparse | subspace | clustering |
Robust Adaptive Array Beamforming With | subspace | Steering Vector Uncertainties |
Robust and Efficient | subspace | Segmentation via Least Squares Regression |
Robust Background Subtraction Using Geodesic Active Contours in ICA | subspace | for Video Surveillance Applications |
Robust correlation filter tracking via context fusion and | subspace | constraint |
Robust Discriminative | subspace | Learning for Person Reidentification |
Robust Egomotion Estimation from the Normal Flow Using Search | subspace | s |
Robust Elastic-Net | subspace | Representation |
Robust Estimation Method of Interferometric Phase Based on Weighted | subspace | Fitting, A |
Robust High-Order Manifold Constrained Low Rank Representation for | subspace | Clustering |
Robust Least Squares Regression for | subspace | Clustering: A Multi-View Clustering Perspective |
Robust low-rank | subspace | recovery and face image denoising for face recognition |
Robust Low-rank | subspace | segmentation with finite mixture noise |
Robust motion segmentation via refined sparse | subspace | clustering |
Robust Multi-Body Motion Segmentation Based on Fuzzy k- | subspace | Clustering |
Robust multi-view continuous | subspace | clustering |
Robust multiple | subspace | s transfer for heterogeneous domain adaptation |
Robust multiple-instance learning ensembles using random | subspace | instance selection |
Robust object re-identification with Grassmann | subspace | feature for key points aggregation |
Robust Orthonormal | subspace | Learning: Efficient Recovery of Corrupted Low-Rank Matrices |
Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance | subspace | s |
Robust Recovery of | subspace | Structures by Low-Rank Representation |
Robust Semi-Supervised | subspace | Clustering via Non-Negative Low-Rank Representation |
Robust Statistical Estimation and Segmentation of Multiple | subspace | s |
Robust Structured | subspace | Learning for Data Representation |
robust | subspace | approach to layer extraction, A |
Robust | subspace | Classifier, A |
Robust | subspace | clustering based on inter-cluster correlation reduction by low rank representation |
Robust | subspace | Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm |
Robust | subspace | clustering by combined use of kNND metric and SVD algorithm |
Robust | subspace | Clustering by Logarithmic Hyperbolic Cosine Function |
Robust | subspace | clustering for image data using clean dictionary estimation and group lasso based matrix completion |
Robust | subspace | Clustering for Multi-View Data by Exploiting Correlation Consensus |
Robust | subspace | clustering network with dual-domain regularization |
Robust | subspace | Clustering via Half-Quadratic Minimization |
Robust | subspace | Clustering via Smoothed Rank Approximation |
Robust | subspace | Clustering With Complex Noise |
Robust | subspace | Clustering With Compressed Data |
Robust | subspace | Clustering With Independent and Piecewise Identically Distributed Noise Modeling |
Robust | subspace | Detectors Based on a-Divergence With Application to Detection in Imaging |
Robust | subspace | Estimation Using Low-Rank Optimization: Theory and Applications |
Robust | subspace | Learning and Applications in Computer Vision |
Robust | subspace | mixture models using t-distributions |
Robust | subspace | Position Measurement Using Localized Sub-Windows |
Robust | subspace | Segmentation with Block-Diagonal Prior |
Robust Transferable | subspace | Learning for Cross-Corpus Facial Expression Recognition |
Robust unsupervised feature selection by nonnegative sparse | subspace | learning |
Robust Video Hashing via Multilinear | subspace | Projections |
Robust Visual Tracking Based on Incremental Tensor | subspace | Learning |
Robust Visual Tracking via Sparsity-Induced | subspace | Learning |
Robust Weighting Nearest Regularized | subspace | Classifier for PolSAR Imagery |
Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View | subspace | Clustering |
Rotational Invariant Discriminant | subspace | Learning For Image Classification |
RSAC: Regularized | subspace | Approximation Classifier for Lightweight Continuous Learning |
SAKS: Sampling Adaptive Kernels From | subspace | for Point Cloud Graph Convolution |
Sampling and Reconstruction of Multiband Signals in Multiresolution | subspace | s Associated With the Fractional Wavelet Transform |
SC-GAN: | subspace | Clustering based GAN for Automatic Expression Manipulation |
Scalable action recognition with a | subspace | forest |
Scalable Deep k- | subspace | Clustering |
Scalable Direction-Search-Based Approach to | subspace | Clustering |
Scalable Exemplar-Based | subspace | Clustering Algorithm for Class-Imbalanced Data, A |
Scalable Feedback of Spectral Projection for | subspace | Learning |
Scalable Framework for Data-Driven | subspace | Representation and Clustering, A |
Scalable Sparse | subspace | Clustering |
Scalable Sparse | subspace | Clustering by Orthogonal Matching Pursuit |
Scalable Structured Compressive Video Sampling With Hierarchical | subspace | Learning |
Scene classification based on local autocorrelation of similarities with | subspace | s |
Scene Classification Using Local Co-occurrence Feature in | subspace | Obtained by KPCA of Local Blob Visual Words |
Scene modeling and change detection in dynamic scenes: A | subspace | approach |
second order polynomial based | subspace | projection method for dimensionality reduction, A |
Seeing Through a Black Box: Toward High-Quality Terahertz Imaging via | subspace | -and-Attention Guided Restoration |
Segmentation of Psoriasis Vulgaris Images Using Multiresolution-Based Orthogonal | subspace | Techniques |
Segmented Linear | subspace | s for Illumination-Robust Face Recognition |
Selective Sampling Importance Resampling Particle Filter Tracking With Multibag | subspace | Restoration |
Self-adaptive | subspace | representation from a geometric intuition |
Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View | subspace | Clustering |
Self-Representation Based Unsupervised Exemplar Selection in a Union of | subspace | s |
Self-Supervised Convolutional | subspace | Clustering Network |
Self-Supervised Deep Multi-Level Representation Learning Fusion-Based Maximum Entropy | subspace | Clustering for Hyperspectral Band Selection |
Self-Supervised Information Bottleneck for Deep Multi-View | subspace | Clustering |
Semantic Concept Classification by Joint Semi-supervised Learning of Feature | subspace | s and Support Vector Machines |
Semantic | subspace | Projection and Its Applications in Image Retrieval |
Semi-random | subspace | method for face recognition |
Semi-Supervised Bilinear | subspace | Learning |
Semi-supervised classification based on random | subspace | dimensionality reduction |
Semi-supervised domain adaptation via | subspace | exploration |
Semi-supervised Domain Adaptation with | subspace | Learning for visual recognition |
Semi-supervised Neighborhood Preserving Discriminant Embedding: A Semi-supervised | subspace | Learning Algorithm |
Semi-Supervised Structured | subspace | Learning for Multi-View Clustering |
Semi-Supervised | subspace | Clustering via Tensor Low-Rank Representation |
Semi-supervised | subspace | segmentation |
Semi-supervised transfer | subspace | for domain adaptation |
Semisupervised Dual-Geometric | subspace | Projection for Dimensionality Reduction of Hyperspectral Image Data |
Semisupervised | subspace | -Based DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery |
Separation theorem for independent | subspace | analysis and its consequences |
Sequential EM learning for | subspace | analysis |
Sequential Order-Aware Coding-Based Robust | subspace | Clustering for Human Action Recognition in Untrimmed Videos |
Sequential | subspace | Clustering via Temporal Smoothness |
Sequential | subspace | Clustering via Temporal Smoothness for Sequential Data Segmentation |
Shape classification of partially occluded objects using | subspace | detectors |
Shape Interaction Matrix Revisited and Robustified: Efficient | subspace | Clustering with Corrupted and Incomplete Data |
Shape normalized | subspace | analysis for underwater mine detection |
Signal Detection in Clutter and Noise Using Well-Characterized | subspace | |
Signal | subspace | approach for narrowband noise reduction in speech |
Signal | subspace | Change Detection in Averaged Multilook SAR Imagery |
Signal | subspace | Fusion of Uncalibrated Sensors with Application in SAR and Diagnostic Medicine |
Signal | subspace | Fusion of Uncalibrated Sensors with Application in SAR, Diagnostic Medicine and Video Processing |
Signal | subspace | Identification in Hyperspectral Linear Mixtures |
Signal | subspace | Reconstruction for DOA Detection Using Quantum-Behaved Particle Swarm Optimization |
Simple Method for | subspace | Estimation with Corrupted Columns, A |
Simultaneous | subspace | Clustering and Cluster Number Estimating Based on Triplet Relationship |
Single and Multiple Object Tracking Using Log-Euclidean Riemannian | subspace | and Block-Division Appearance Model |
Single Image | subspace | for Face Recognition |
Single-Photon Depth Imaging Using a Union-of- | subspace | s Model |
Sketch-Based | subspace | Clustering of Hyperspectral Images |
Sketched Sparse | subspace | Clustering For Large-Scale Hyperspectral Images |
SLCRF: | subspace | Learning With Conditional Random Field for Hyperspectral Image Classification |
SLIDE: | subspace | -Based Line Detection |
Slow Feature | subspace | for Action Recognition |
SLRL4D: Joint Restoration of | subspace | Low-Rank Learning and Non-Local 4-D Transform Filtering for Hyperspectral Image |
Soft | subspace | clustering of categorical data with probabilistic distance |
SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying | subspace | Clustering Algorithms |
Spaces and | subspace | s of images for recognition |
Sparse Additive | subspace | Clustering |
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-Dense | subspace | Clustering |
Sparseness and Correntropy-Based Block Diagonal Representation for Robust | subspace | Clustering |
Sparsity constraint nearest | subspace | classifier for target recognition of SAR images |
Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random | subspace | Functional Trees (RSFT |
Spatio-temporal patches for night background modeling by | subspace | learning |
Spatio-temporal union of | subspace | s for multi-body non-rigid structure-from-motion |
Spatiotemporal traffic data imputation by synergizing low tensor ring rank and nonlocal | subspace | regularization |
Spectral clustering of linear | subspace | s for motion segmentation |
Spectral clustering steered low-rank representation for | subspace | segmentation |
Spectral Regression for Efficient Regularized | subspace | Learning |
Spectral-Smoothness and Non-Local Self-Similarity Regularized | subspace | Low-Rank Learning Method for Hyperspectral Mixed Denoising |
Spectral-Spatial Hyperspectral Image Classification Using | subspace | -Based Support Vector Machines and Adaptive Markov Random Fields |
Spectral-Spatial Hyperspectral Image Segmentation Using | subspace | Multinomial Logistic Regression and Markov Random Fields |
Spectral-Spatial Sparse | subspace | Clustering for Hyperspectral Remote Sensing Images |
Specular Free Spectral Imaging Using Orthogonal | subspace | Projection |
Split Multiplicative Multi-View | subspace | Clustering |
SS-ClusterTree: a | subspace | clustering based indexing algorithm over high-dimensional image features |
SSSC-AM: A unified framework for video co-segmentation by structured sparse | subspace | clustering with appearance and motion features |
Stable Signal Recovery via Randomly Enhanced Adaptive | subspace | Pursuit Method |
Statistical Scattering Component-Based | subspace | Alignment for Unsupervised Cross-Domain PolSAR Image Classification |
Stepwise Optimal | subspace | Pursuit for Improving Sparse Recovery |
Stochastic Sparse | subspace | Clustering |
Strategy of combining random | subspace | and diversified active learning in CBIR |
Stratified sampling for feature | subspace | selection in random forests for high dimensional data |
Streaming PCA and | subspace | Tracking: The Missing Data Case |
Structure-Based | subspace | Method for Multichannel Blind System Identification |
Structure-Constrained Feature Extraction by Autoencoders for | subspace | Clustering |
Structured AutoEncoders for | subspace | Clustering |
Structured general and specific multi-view | subspace | clustering |
Structured Graph Learning for Scalable | subspace | Clustering: From Single View to Multiview |
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 Joint Affinity Learning and Subspace Clustering Framework |
Structured Sparse | subspace | Clustering: A unified optimization framework |
Sub-GAN: An Unsupervised Generative Model via | subspace | s |
| subspace | Adversarial Training |
| subspace | algorithm for error localization with overcomplete frame expansions and its application to image transmission, A |
| subspace | Algorithm to Mitigate Energy Unknown RFI for Synthetic Aperture Interferometric Radiometer, A |
| subspace | Alignment and Separation for Multiple Frequency Estimation |
| subspace | Alignment Based Domain Adaptation for RCNN Detector |
| subspace | analysis and optimization for AAM based face alignment |
| subspace | Analysis Methods plus Motion History Image for Human Action Recognition |
| subspace | analysis of arbitrarily many linear filter responses with an application to face tracking |
| subspace | Analysis Using Random Mixture Models |
| subspace | and motion segmentation via local subspace estimation |
| subspace | and motion segmentation via local subspace estimation |
| subspace | approach for matching 2D shapes under affine distortions, A |
| subspace | approach to error correcting output codes, A |
| subspace | approach to face detection with support vector machines, A |
| subspace | Approach to Layer Extraction, A |
| subspace | Approach to Texture Modelling by Using Gaussian Mixtures, A |
| subspace | based disparity estimation for plenoptic cameras |
| subspace | Clustering by Block Diagonal Representation |
| subspace | clustering by Mixture of Gaussian Regression |
| subspace | Clustering Constrained Sparse NMF for Hyperspectral Unmixing |
| subspace | Clustering for Action Recognition with Covariance Representations and Temporal Pruning |
| subspace | Clustering for Sequential Data |
| subspace | clustering guided unsupervised feature selection |
| subspace | clustering of images using Ant colony Optimisation |
| subspace | Clustering Through Parametric Representation and Sparse Optimization |
| subspace | Clustering Under Complex Noise |
| subspace | clustering using affinity propagation |
| subspace | Clustering via Adaptive Non-Negative Representation Learning and Its Application to Image Segmentation |
| subspace | Clustering via Good Neighbors |
| subspace | clustering via independent subspace analysis network |
| subspace | clustering via independent subspace analysis network |
| subspace | Clustering via Joint Unsupervised Feature Selection |
| subspace | Clustering via Learning an Adaptive Low-Rank Graph |
| subspace | Clustering via Optimal Direction Search |
| subspace | clustering via seeking neighbors with minimum reconstruction error |
| subspace | clustering via stacked independent subspace analysis networks with sparse prior information |
| subspace | clustering via stacked independent subspace analysis networks with sparse prior information |
| subspace | Clustering via Variance Regularized Ridge Regression |
| subspace | clustering with automatic feature grouping |
| subspace | Clustering With K-Support Norm |
| subspace | Clustering with Priors via Sparse Quadratically Constrained Quadratic Programming |
| subspace | clustering with the multivariate-t distribution |
| subspace | Clustering, Subspace Learning |
| subspace | Clustering, Subspace Learning |
| subspace | co-training framework for multi-view clustering, A |
| subspace | Constrained Mean-Shift |
| subspace | Correction Methods for a Class of Nonsmooth and Nonadditive Convex Variational Problems with Mixed L1/L2 Data-Fidelity in Image Processing |
| subspace | Decomposition Based Adaptive Density Peak Clustering for Radar Signals Sorting |
| subspace | Diffusion Generative Models |
| subspace | Discrimination Method for Images Using Singular Value Decomposition |
| subspace | distance analysis with application to adaptive Bayesian algorithm for face recognition |
| subspace | Distribution Alignment for Unsupervised Domain Adaptation |
| subspace | Estimation Using Projection Based M-Estimators over Grassmann Manifolds |
| subspace | evolution analysis for face representation and recognition |
| subspace | Extension to Phase Correlation Approach for Fast Image Registration |
| subspace | eyetracking for driver warning |
| subspace | identification extension to the phase correlation method, A |
| subspace | independent component analysis using vector kurtosis |
| subspace | Information Criterion for Image Restoration: Mean Squared Error Estimatior for Linear Filters |
| subspace | Interpolation via Dictionary Learning for Unsupervised Domain Adaptation |
| subspace | Learning Approach to Multishot Person Reidentification, A |
| subspace | Learning Based Low-Rank Representation |
| subspace | Learning by L0-Induced Sparsity |
| subspace | Learning for Background Modeling: A Survey |
| subspace | learning for unsupervised feature selection via matrix factorization |
| subspace | Learning from Image Gradient Orientations |
| subspace | Learning in Krein Spaces: Complete Kernel Fisher Discriminant Analysis with Indefinite Kernels |
| subspace | learning machine (SLM): Methodology and performance evaluation |
| subspace | Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach |
| subspace | Least Squares Multidimensional Scaling |
| subspace | Linear Discriminant Analysis for Face Recognition |
| subspace | manifold learning with sample weights |
| subspace | Matching Color Filter Design Methodology for a Multispectral Imaging System, A |
| subspace | Matching Pursuit for Sparse Unmixing of Hyperspectral Data |
| subspace | matching: Unique solution to point matching with geometric constraints |
| subspace | method for maximum likelihood target detection, A |
| subspace | method for projective reconstruction from multiple images with missing data, A |
| subspace | method with multi scale wavelet for recognition of printer property |
| subspace | Methods |
| subspace | Methods and Equilibration in Computer Vision |
| subspace | Methods for Recovering Rigid Motion I: Algorithms and Implementation |
| subspace | Methods for Recovering Rigid Motion, Part II: Theory |
| subspace | methods for retrieval of general 3D models |
| subspace | Methods for Robot Vision |
| subspace | Methods with Globally/Locally Weighted Correlation Matrix |
| subspace | Model-Assisted Deep Learning for Improved Image Reconstruction |
| subspace | Model-Based Approach to Face Relighting Under Unknown Lighting and Poses, A |
| subspace | Modeling for Fast Out-Of-Distribution and Anomaly Detection |
| subspace | models for document script and language identification |
| subspace | morphing theory for appearance based object identification |
| subspace | Partition Weighted Sum Filters for Image Restoration |
| subspace | position measurement in the presence of occlusion |
| subspace | Procrustes Analysis |
| subspace | Procrustes Analysis |
| subspace | Projection Approach for Wall Clutter Mitigation in Through-the-Wall Radar Imaging, A |
| subspace | Pursuit Method to Infer Refractivity in the Marine Atmospheric Boundary Layer, A |
| subspace | reconstruction based correlation filter for object tracking |
| subspace | Reduction for Appearance-Based Navigation of a Mobile Robot |
| subspace | Segmentation Based Metric Learning |
| subspace | Segmentation by Correlation Adaptive Regression |
| subspace | segmentation with a large number of subspaces using infinity norm minimization |
| subspace | segmentation with a large number of subspaces using infinity norm minimization |
| subspace | segmentation with a Minimal Squared Frobenius Norm Representation |
| subspace | segmentation with outliers: A grassmannian approach to the maximum consensus subspace |
| subspace | segmentation with outliers: A grassmannian approach to the maximum consensus subspace |
| subspace | Selection-Based Discriminative Forest Method for Hyperspectral Anomaly Detection, A |
| subspace | Structure-Aware Spectral Clustering for Robust Subspace Clustering |
| subspace | Structure-Aware Spectral Clustering for Robust Subspace Clustering |
| subspace | Support Vector Data Description |
| subspace | tracking algorithm using the fast Fourier transform, A |
| subspace | Tracking under Dynamic Dimensionality for Online Background Subtraction |
| subspace | Vector Quantization and Markov Modeling for Cell Phase Classification |
| subspace | -based Age-group Classification Using Facial Images under Various Lighting Conditions |
| subspace | -Based and DIRECT Algorithms for Distorted Circular Contour Estimation |
| subspace | -based approach for DOA estimation using pilot symbol channel identification |
| subspace | -Based Channel Estimation for MIMO-OFDM Systems With Few Received Blocks |
| subspace | -Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST's Face Recognition Grand Challenge |
| subspace | -Based Learning for Automatic Dysarthric Speech Detection |
| subspace | -based methods for image registration and super-resolution |
| subspace | -Based Optimization Method for Solving Inverse-Scattering Problems |
| subspace | -Based Prototyping and Classification of Chromosome Images |
| subspace | -Based Self-Calibration of Mutual Coupling in Uniform and Circular Array |
| subspace | -Based Striping Noise Reduction in Hyperspectral Images |
| subspace | -Based Technique for Speckle Noise Reduction in SAR Images |
| subspace | -Based Temperature and Emissivity Separation Algorithms in LWIR Hyperspectral Data |
| subspace | -PnP: A Geometric Constraint Loss for Mutual Assistance of Depth and Optical Flow Estimation |
| subspace | -sparsifying steerable discrete cosine transform from graph fourier transform |
| subspace | s Indexing Model on Grassmann Manifold for Image Search |
| subspace | s of Quantization Artifacts for Image Transform Compression |
Supervised and Unsupervised Parallel | subspace | Learning for Large-Scale Image Recognition |
Supervised local | subspace | learning for continuous head pose estimation |
Supervised Local | subspace | Learning for Region Segmentation and Categorization in High-Resolution Satellite Images |
Supervised Low-Rank Embedded Regression (SLRER) for Robust | subspace | Learning |
Supervised Low-Rank Method for Learning Invariant | subspace | s, A |
Supervised principal component analysis: Visualization, classification and regression on | subspace | s and submanifolds |
Supplementations to the Higher Order | subspace | Algorithm for Suppression of Spatially Colored Noise |
survey of multilinear | subspace | learning for tensor data, A |
SVM decision boundary based discriminative | subspace | induction |
Symmetric | subspace | Learning for Image Analysis |
Synergistic Instance-Level | subspace | Alignment for Fine-Grained Sketch-Based Image Retrieval |
Synthesis of multiple pose facial images using tensor-based | subspace | learning method |
Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of | subspace | s |
Target detection based on a dynamic | subspace | |
Target Detection With Semisupervised Kernel Orthogonal | subspace | Projection |
Targeted Incorporating Spatial Information in Sparse | subspace | Clustering of Hyperspectral Remote Sensing Images |
Temporal | subspace | Clustering for Human Motion Segmentation |
Tensor Cascaded-Rank Minimization in | subspace | : A Unified Regime for Hyperspectral Image Low-Level Vision |
Tensor Laplacian Regularized Low-Rank Representation for Non-Uniformly Distributed Data | subspace | Clustering |
Tensor local linear embedding with global | subspace | projection optimisation |
Tensor Matched | subspace | Detector for Hyperspectral Target Detection |
Tensor | subspace | Learning and Classification: Tensor Local Discriminant Embedding for Hyperspectral Image |
Tensor | subspace | Representation-Based Method for Hyperspectral Image Denoising, A |
Tensor-based | subspace | Factorization for StyleGAN |
Tensor-based | subspace | learning for tracking salt-dome boundaries |
Tensorized Multi-view | subspace | Representation Learning |
Testing the Energy of Random Signals in a Known | subspace | : An Optimal Invariant Approach |
Texture representations using | subspace | embeddings |
Theory of Recursive Orthogonal | subspace | Projection for Hyperspectral Imaging, A |
Three-dimensional face recognition using combinations of surface feature map | subspace | components |
Towards robust | subspace | recovery via sparsity-constrained latent low-rank representation |
Tracking the Pose of Objects through | subspace | |
Traffic Estimation and Prediction via Online Variational Bayesian | subspace | Filtering |
Training boosting-like algorithms with semi-supervised | subspace | learning |
TransBlast: Self-Supervised Learning Using Augmented | subspace | with Transformer for Background/Foreground Separation |
Transfer Linear | subspace | Learning for Cross-Corpus Speech Emotion Recognition |
Transfer | subspace | learning based on structure preservation for JPEG image mismatched steganalysis |
Transferable heterogeneous feature | subspace | learning for JPEG mismatched steganalysis |
Transformation invariant | subspace | clustering |
TunnelSlice: Freehand | subspace | Acquisition Using an Egocentric Tunnel for Wearable Augmented Reality |
TWCC: Automated Two-way | subspace | Weighting Partitional Co-Clustering |
Two | subspace | Methods to Discriminate Faces and Clutters |
Two-dimension principal component analysis-based motion detection framework with | subspace | update of background |
Two-dimensional | subspace | alignment for convolutional activations adaptation |
Ubiquitously Supervised | subspace | Learning |
ULSAM: Ultra-Lightweight | subspace | Attention Module for Compact Convolutional Neural Networks |
Unbiased Sparse | subspace | Clustering by Selective Pursuit |
Uncalibrated Non-Rigid Factorisation by Independent | subspace | Analysis |
Unified Discriminative and Coherent Semi-Supervised | subspace | Clustering |
Unified Framework For Bases, Frames, | subspace | Bases, and Subspace Frames, A |
Unified Framework For Bases, Frames, | subspace | Bases, and Subspace Frames, A |
Unified Framework for | subspace | Face Recognition, A |
Unified Framework of | subspace | and Distance Metric Learning for Face Recognition, A |
Unified Low-Rank | subspace | Clustering with Dynamic Hypergraph for Hyperspectral Image |
Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View | subspace | Clustering |
Unified Sparse | subspace | Learning via Self-Contained Regression |
Unified | subspace | analysis for face recognition |
Unified | subspace | learning for incomplete and unlabeled multi-view data |
Unifying | subspace | and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification |
Unsupervised Discovery of | subspace | Trends |
Unsupervised domain adaptation with progressive adaptation of | subspace | s |
Unsupervised Feature Descriptors Based Facial Tracking over Distributed Geospatial | subspace | s |
Unsupervised feature selection by combining | subspace | learning with feature self-representation |
Unsupervised feature selection by nonnegative sparsity adaptive | subspace | learning |
Unsupervised hashing based on the recovery of | subspace | structures |
Unsupervised SAR Change Detection Method Based on Stochastic | subspace | Ensemble Learning, An |
Unsupervised | subspace | linear spectral mixture analysis for hyperspectral images |
unsupervised vector quantization-based target | subspace | projection approach to mixed pixel detection and classification in unknown background for remotely sensed imagery, An |
Unsupervised Visual Domain Adaptation Using | subspace | Alignment |
Using a Linear | subspace | Approach for Invariant Subpixel Material Identification in Airborne Hyperspectral Imagery |
Using Coupled | subspace | Models for Recovery of Reflectance Spectra from Airborne Images |
Using Coupled | subspace | Models for Reflectance/Illumination Separation |
Using Independent | subspace | Analysis for Selecting Filters Used in Texture Processing |
Using random | subspace | to combine multiple features for face recognition |
Using | subspace | Multiple Linear Regression for 3D Face Shape Prediction from a Single Image |
Utilizing Scatter for Pixel | subspace | Selection |
Variational Approach to Video Registration with | subspace | Constraints, A |
Variational Bayes Based Approach to Robust | subspace | Learning |
Variational Robust | subspace | Clustering with Mean Update Algorithm |
Video event segmentation and visualisation in non-linear | subspace | |
Video fragment format classification using optimized discriminative | subspace | clustering |
Video Object Co-Segmentation via | subspace | Clustering and Quadratic Pseudo-Boolean Optimization in an MRF Framework |
Video search in concept | subspace | : a text-like paradigm |
Video Semantic Event/Concept Detection Using a | subspace | -Based Multimedia Data Mining Framework |
View-Based Clustering of Object Appearances Based on Independent | subspace | Analysis |
View-specific | subspace | learning and re-ranking for semi-supervised person re-identification |
Visibility | subspace | s: Uncalibrated Photometric Stereo with Shadows |
Visual domain adaptation using weighted | subspace | alignment |
Visual object recognition using probabilistic kernel | subspace | similarity |
Visual Object Tracking with Pyramid, Random | subspace | Features |
Visual Saliency Detection via Kernelized | subspace | Ranking With Active Learning |
Visual tracking based on weighted | subspace | reconstruction error |
Visual tracking using learned linear | subspace | s |
Visual Tracking via Efficient Kernel Discriminant | subspace | Learning |
Visual tracking via incremental Log-Euclidean Riemannian | subspace | learning |
Visual Tracking via | subspace | Learning: A Discriminative Approach |
Von Mises-Fisher Models in the Total Variability | subspace | for Language Recognition |
Wavelet | subspace | Analysis of Intraoperative Thermal Imaging for Motion Filtering |
wavelet | subspace | method for real-time face tracking, A |
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of- | subspace | s Learning |
Web Image Annotation Via | subspace | -Sparsity Collaborated Feature Selection |
Weighted and robust incremental method for | subspace | learning |
Weighted and robust learning of | subspace | representations |
Weighted locality collaborative representation based on sparse | subspace | |
Weighted multi-view common | subspace | learning method |
Weighted Nearest Mean Classifier for Sparse | subspace | s, A |
Weighted | subspace | anomaly detection in high-dimensional space |
Weighted | subspace | Distance and Its Applications to Object Recognition and Retrieval With Image Sets |
Weighted | subspace | Filtering and Ranking Algorithms for Video Concept Retrieval |
Weighted Vote Fusion in prototype random | subspace | for thermal to visible face recognition |
Where is My Spot? Few-shot Image Generation via Latent | subspace | Optimization |
Wideband DOA estimation based on focusing signal | subspace | |
Withdrawn: Incremental | subspace | and probability mask constrained tracking in smart and autonomous systems |
Witness identification in multiple instance learning using random | subspace | s |
1387 for subspace