| 1 | Toward Balance Deep Semisupervised Clustering | 12.1 | 8 | Citations (PDF) |
| 2 | A Revised Formation of Trace Ratio LDA for Small Sample Size Problem | 12.1 | 8 | Citations (PDF) |
| 3 | Fast Multiview Anchor-Graph Clustering | 12.1 | 21 | Citations (PDF) |
| 4 | Parameter-Free Multiview <i>K</i>-Means Clustering With Coordinate Descent Method | 12.1 | 3 | Citations (PDF) |
| 5 | Smooth-Guided Implicit Data Augmentation for Domain Generalization | 12.1 | 4 | Citations (PDF) |
| 6 | Cross-View Approximation on Grassmann Manifold for Multiview Clustering | 12.1 | 4 | Citations (PDF) |
| 7 | Joint Structured Bipartite Graph and Row-Sparse Projection for Large-Scale Feature Selection | 12.1 | 6 | Citations (PDF) |
| 8 | Nonlinear Locality-Preserving Projections With Dynamic Graph Learning | 12.1 | 3 | Citations (PDF) |
| 9 | Fuzzy Min-Cut With Soft Balancing Effects | 11.5 | 1 | Citations (PDF) |
| 10 | Fast multi-view clustering via anchor label transmit with tensor structure constraint | 8.8 | 1 | Citations (PDF) |
| 11 | FINC: An Efficient and Effective Optimization Method for Normalized Cut | 16.6 | 9 | Citations (PDF) |
| 12 | Unsupervised Feature Selection With Flexible Optimal Graph | 12.1 | 17 | Citations (PDF) |
| 13 | Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection | 12.1 | 42 | Citations (PDF) |
| 14 | On the Equivalence of Linear Discriminant Analysis and Least Squares Regression | 12.1 | 2 | Citations (PDF) |
| 15 | Robust Principal Component Analysis via Joint Reconstruction and Projection | 12.1 | 12 | Citations (PDF) |
| 16 | Generalized and Robust Least Squares Regression | 12.1 | 14 | Citations (PDF) |
| 17 | Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering | 12.1 | 8 | Citations (PDF) |
| 18 | Fast Clustering by Directly Solving Bipartite Graph Clustering Problem | 12.1 | 14 | Citations (PDF) |
| 19 | Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection | 12.1 | 20 | Citations (PDF) |
| 20 | Fast Clustering via Maximizing Adaptively Within-Class Similarity | 12.1 | 5 | Citations (PDF) |
| 21 | Fast Sparse Discriminative K-Means for Unsupervised Feature Selection | 12.1 | 23 | Citations (PDF) |
| 22 | Fast Multiview Clustering by Optimal Graph Mining | 12.1 | 14 | Citations (PDF) |
| 23 | Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving | 12.1 | 1 | Citations (PDF) |
| 24 | Sparse Trace Ratio LDA for Supervised Feature Selection | 12.4 | 25 | Citations (PDF) |
| 25 | Efficient Discrete Clustering With Anchor Graph | 12.1 | 19 | Citations (PDF) |
| 26 | A Novel $k$-Means Framework via Constrained Relaxation and Spectral Rotation | 12.1 | 4 | Citations (PDF) |
| 27 | Multi-View and Multi-Order Structured Graph Learning | 12.1 | 18 | Citations (PDF) |
| 28 | Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection | 12.1 | 5 | Citations (PDF) |
| 29 | A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization | 16.6 | 20 | Citations (PDF) |
| 30 | Local-Global Fuzzy Clustering With Anchor Graph | 11.5 | 20 | Citations (PDF) |
| 31 | Outliers Robust Unsupervised Feature Selection for Structured Sparse Subspace | 9.5 | 9 | Citations (PDF) |
| 32 | Graph Joint Representation Clustering via Penalized Graph Contrastive Learning | 12.1 | 13 | Citations (PDF) |
| 33 | Multiview Fuzzy Clustering Based on Anchor Graph | 11.5 | 21 | Citations (PDF) |
| 34 | Bidirectional Attentive Multi-View Clustering | 9.5 | 7 | Citations (PDF) |
| 35 | Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding | 12.1 | 3 | Citations (PDF) |
| 36 | Fast Clustering With Anchor Guidance | 16.6 | 35 | Citations (PDF) |
| 37 | Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection | 12.1 | 12 | Citations (PDF) |
| 38 | Worst-Case Discriminative Feature Learning via Max-Min Ratio Analysis | 16.6 | 21 | Citations (PDF) |
| 39 | Toward Robust Discriminative Projections Learning Against Adversarial Patch Attacks | 12.1 | 8 | Citations (PDF) |
| 40 | Normalized Robust PCA With Adaptive Reconstruction Error Minimization | 9.5 | 9 | Citations (PDF) |
| 41 | An Effective Optimization Method for Fuzzy k-Means With Entropy Regularization | 9.5 | 4 | Citations (PDF) |
| 42 | Efficient Local Coherent Structure Learning via Self-Evolution Bipartite Graph | 12.4 | 7 | Citations (PDF) |
| 43 | Row-Sparse Principal Component Analysis via Coordinate Descent Method | 9.5 | 9 | Citations (PDF) |
| 44 | Parameter-Insensitive Min Cut Clustering With Flexible Size Constrains | 16.6 | 5 | Citations (PDF) |
| 45 | Supervised Feature Selection via Multi-Center and Local Structure Learning | 9.5 | 11 | Citations (PDF) |
| 46 | Adaptive Local Modularity Learning for Efficient Multilayer Graph Clustering | 6.1 | 0 | Citations (PDF) |
| 47 | EBMGC-GNF: Efficient Balanced Multi-View Graph Clustering via Good Neighbor Fusion | 16.6 | 15 | Citations (PDF) |
| 48 | Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving 2024, , 322-333 | | 6 | Citations (PDF) |
| 49 | Simple Multigraph Convolution Networks 2024, , 794-797 | | 0 | Citations (PDF) |
| 50 | Learning a Subspace and Clustering Simultaneously with Manifold Regularized Nonnegative Matrix Factorization | 1.3 | 1 | Citations (PDF) |
| 51 | Bidirectional Fusion With Cross-View Graph Filter for Multi-View Clustering | 9.5 | 9 | Citations (PDF) |
| 52 | Robust Principal Component Analysis Based on Fuzzy Local Information Reservation | 16.6 | 6 | Citations (PDF) |
| 53 | Joint Projected Fuzzy Neighborhood Preserving C-means Clustering with Local Adaptive Learning | 8.8 | 1 | Citations (PDF) |
| 54 | Fuzzy Clustering From Subset-Clustering to Fullset-Membership | 11.5 | 4 | Citations (PDF) |
| 55 | Interactive Supervision for New Intent Discovery | 4.1 | 2 | Citations (PDF) |
| 56 | Robust Discriminant Embedding Projection Fuzzy Clustering With Optimal Mean | 11.5 | 3 | Citations (PDF) |
| 57 | An Balanced, and Scalable Graph-Based Multiview Clustering Method | 9.5 | 19 | Citations (PDF) |
| 58 | Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint | 16.6 | 14 | Citations (PDF) |
| 59 | A Novel and Effective Method to Directly Solve Spectral Clustering | 16.6 | 8 | Citations (PDF) |
| 60 | Co-Clustering by Directly Solving Bipartite Spectral Graph Partitioning | 12.4 | 2 | Citations (PDF) |
| 61 | YOLO-RDFEA: Object Detection in RD Imagery With Improved YOLOv8 Based on Feature Enhancement and Attention Mechanisms | 4.8 | 6 | Citations (PDF) |
| 62 | Editorial: Vicinagearth Safety | 1.3 | 1 | Citations (PDF) |
| 63 | Unsupervised Subspace Learning With Flexible Neighboring | 12.1 | 9 | Citations (PDF) |
| 64 | Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation | 12.1 | 99 | Citations (PDF) |
| 65 | Joint Feature Selection and Extraction With Sparse Unsupervised Projection | 12.1 | 22 | Citations (PDF) |
| 66 | Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction | 12.1 | 3 | Citations (PDF) |
| 67 | Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors | 12.4 | 37 | Citations (PDF) |
| 68 | Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction | 12.1 | 73 | Citations (PDF) |
| 69 | Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank | 12.4 | 29 | Citations (PDF) |
| 70 | Implicit Weight Learning for Multi-View Clustering | 12.1 | 27 | Citations (PDF) |
| 71 | Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis | 12.4 | 8 | Citations (PDF) |
| 72 | An Effective Clustering Optimization Method for Unsupervised Linear Discriminant Analysis | 9.5 | 8 | Citations (PDF) |
| 73 | Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization | 12.1 | 10 | Citations (PDF) |
| 74 | ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization | 12.1 | 26 | Citations (PDF) |
| 75 | Discrete Robust Principal Component Analysis via Binary Weights Self-Learning | 12.1 | 9 | Citations (PDF) |
| 76 | Centerless Clustering | 16.6 | 34 | Citations (PDF) |
| 77 | Robust Supervised and Semisupervised Least Squares Regression Using <i>ℓ</i>
<sub>2,<i>p</i>
</sub>-Norm Minimization | 12.1 | 20 | Citations (PDF) |
| 78 | An Effective and Efficient Algorithm for K-Means Clustering With New Formulation | 9.5 | 111 | Citations (PDF) |
| 79 | Rank-<i>r</i> Discrete Matrix Factorization for Anchor Graph Clustering | 9.5 | 13 | Citations (PDF) |
| 80 | Local Embedding Learning via Landmark-Based Dynamic Connections | 12.1 | 5 | Citations (PDF) |
| 81 | Discriminative Projected Clustering via Unsupervised LDA | 12.1 | 10 | Citations (PDF) |
| 82 | Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition | 12.0 | 40 | Citations (PDF) |
| 83 | Sparsity Fuzzy C-Means Clustering With Principal Component Analysis Embedding | 11.5 | 21 | Citations (PDF) |
| 84 | Graph-Based Soft-Balanced Fuzzy Clustering | 11.5 | 18 | Citations (PDF) |
| 85 | Learning Feature-Sparse Principal Subspace | 16.6 | 7 | Citations (PDF) |
| 86 | Nonlinear Feature Selection Neural Network via Structured Sparse Regularization | 12.1 | 5 | Citations (PDF) |
| 87 | A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension | 16.6 | 29 | Citations (PDF) |
| 88 | $\ell _{2,p}$-Norm and Mahalanobis Distance-Based Robust Fuzzy C-Means | 11.5 | 15 | Citations (PDF) |
| 89 | Fuzzy C-Multiple-Means Clustering for Hyperspectral Image | 3.8 | 13 | Citations (PDF) |
| 90 | Intermediary-Guided Bidirectional Spatial–Temporal Aggregation Network for Video-Based Visible-Infrared Person Re-Identification | 11.1 | 31 | Citations (PDF) |
| 91 | JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization | 7.4 | 11 | Citations (PDF) |
| 92 | Unsupervised Adaptive Bipartite Graph Embedding | 9.5 | 8 | Citations (PDF) |
| 93 | Joint Learning of Anchor Graph-Based Fuzzy Spectral Embedding and Fuzzy K-Means | 11.5 | 9 | Citations (PDF) |
| 94 | Large-Scale Clustering With Structured Optimal Bipartite Graph | 16.6 | 28 | Citations (PDF) |
| 95 | Ensemble Clustering with Attentional Representation | 9.5 | 12 | Citations (PDF) |
| 96 | Self-Weighted Euler $k$-Means Clustering | 4.1 | 5 | Citations (PDF) |
| 97 | Discrete and Balanced Spectral Clustering With Scalability | 16.6 | 22 | Citations (PDF) |
| 98 | Multi-View Discrete Clustering: A Concise Model | 16.6 | 5 | Citations (PDF) |
| 99 | Multi-view Graph Clustering via Efficient Global-Local Spectral Embedding Fusion 2023, 48, 3268-3276 | | 11 | Citations (PDF) |
| 100 | Discriminative and Robust Autoencoders for Unsupervised Feature Selection | 12.1 | 10 | Citations (PDF) |
| 101 | MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis | 9.5 | 25 | Citations (PDF) |
| 102 | Multi-view clustering based on generalized low rank approximation | 7.2 | 31 | Citations (PDF) |
| 103 | Subspace Sparse Discriminative Feature Selection | 12.4 | 59 | Citations (PDF) |
| 104 | Unsupervised Discriminative Projection for Feature Selection | 9.5 | 42 | Citations (PDF) |
| 105 | Fast Multi-View Semi-Supervised Learning With Learned Graph | 9.5 | 66 | Citations (PDF) |
| 106 | Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation | 9.5 | 80 | Citations (PDF) |
| 107 | Agglomerative Neural Networks for Multiview Clustering | 12.1 | 17 | Citations (PDF) |
| 108 | A Novel Formulation of Trace Ratio Linear Discriminant Analysis | 12.1 | 16 | Citations (PDF) |
| 109 | Locality Adaptive Discriminant Analysis Framework | 12.4 | 30 | Citations (PDF) |
| 110 | Unsupervised Adaptive Embedding for Dimensionality Reduction | 12.1 | 15 | Citations (PDF) |
| 111 | Fast Self-Supervised Clustering With Anchor Graph | 12.1 | 50 | Citations (PDF) |
| 112 | Truncated Robust Principle Component Analysis With A General Optimization Framework | 16.6 | 63 | Citations (PDF) |
| 113 | Progressive Self-Supervised Clustering With Novel Category Discovery | 12.4 | 16 | Citations (PDF) |
| 114 | Fast Multi-view Clustering via Prototype Graph | 9.5 | 23 | Citations (PDF) |
| 115 | Semisupervised Feature Selection via Structured Manifold Learning | 12.4 | 24 | Citations (PDF) |
| 116 | Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering | 12.1 | 35 | Citations (PDF) |
| 117 | Robust principal component analysis based on discriminant information | 9.5 | 27 | Citations (PDF) |
| 118 | Fast Unsupervised Projection for Large-Scale Data | 12.1 | 11 | Citations (PDF) |
| 119 | Fast Fuzzy Clustering Based on Anchor Graph | 11.5 | 77 | Citations (PDF) |
| 120 | A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization | 9.5 | 31 | Citations (PDF) |
| 121 | Robust Matrix Completion With Column Outliers | 12.4 | 12 | Citations (PDF) |
| 122 | Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression | 12.4 | 27 | Citations (PDF) |
| 123 | Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction | 9.5 | 36 | Citations (PDF) |
| 124 | GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition | 5.0 | 73 | Citations (PDF) |
| 125 | A Survey of GPU Multitasking Methods Supported by Hardware Architecture | 6.6 | 23 | Citations (PDF) |
| 126 | Confidence Regularized Label Propagation Based Domain Adaptation | 11.1 | 21 | Citations (PDF) |
| 127 | Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image | 3.8 | 37 | Citations (PDF) |
| 128 | Unsupervised Feature Selection With Constrained ℓ₂,₀-Norm and Optimized Graph | 12.1 | 55 | Citations (PDF) |
| 129 | Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method | 16.6 | 354 | Citations (PDF) |
| 130 | Balanced Graph Cut With Exponential Inter-Cluster Compactness | 6.7 | 11 | Citations (PDF) |
| 131 | Fuzzy K-Means Clustering With Discriminative Embedding | 9.5 | 69 | Citations (PDF) |
| 132 | Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean | 9.5 | 10 | Citations (PDF) |
| 133 | Robust Subspace Clustering With Low-Rank Structure Constraint | 9.5 | 25 | Citations (PDF) |
| 134 | Self-weighting multi-view spectral clustering based on nuclear norm | 8.6 | 27 | Citations (PDF) |
| 135 | Efficient correntropy-based multi-view clustering with anchor graph embedding | 6.8 | 57 | Citations (PDF) |
| 136 | Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis | 16.6 | 13 | Citations (PDF) |
| 137 | Entropy regularization for unsupervised clustering with adaptive neighbors | 8.6 | 33 | Citations (PDF) |
| 138 | Fast Unsupervised Feature Selection with Bipartite Graph and l2,0-Norm Constraint | 9.5 | 13 | Citations (PDF) |
| 139 | Adaptive-order proximity learning for graph-based clustering | 8.6 | 36 | Citations (PDF) |
| 140 | Iteratively Reweighted Algorithm for Fuzzy $c$-Means | 11.5 | 46 | Citations (PDF) |
| 141 | Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification | 7.2 | 11 | Citations (PDF) |
| 142 | Self-supervised Learning for Heterogeneous Audiovisual Scene Analysis | 9.4 | 0 | Citations (PDF) |
| 143 | Efficient and Robust MultiView Clustering With Anchor Graph Regularization | 11.1 | 60 | Citations (PDF) |
| 144 | Fast Locality Discriminant Analysis With Adaptive Manifold Embedding | 16.6 | 20 | Citations (PDF) |
| 145 | Discrete and Parameter-Free Multiple Kernel <i>k</i>-Means | 11.6 | 41 | Citations (PDF) |
| 146 | Semi-supervised Learning via Bipartite Graph Construction with Adaptive Neighbors | 9.5 | 23 | Citations (PDF) |
| 147 | An attention-based framework for multi-view clustering on Grassmann manifold | 8.6 | 19 | Citations (PDF) |
| 148 | Improving projected fuzzy K-means clustering via robust learning | 7.2 | 40 | Citations (PDF) |
| 149 | When multi-view classification meets ensemble learning | 7.2 | 16 | Citations (PDF) |
| 150 | Sparse and Flexible Projections for Unsupervised Feature Selection | 9.5 | 15 | Citations (PDF) |
| 151 | A general soft-balanced clustering framework based on a novel balance regularizer | 3.9 | 12 | Citations (PDF) |
| 152 | Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning 2022, 12, 4153-4157 | | 10 | Citations (PDF) |
| 153 | Graph optimization for unsupervised dimensionality reduction with probabilistic neighbors | 3.5 | 4 | Citations (PDF) |
| 154 | Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation 2022, , 4143-4147 | | 17 | Citations (PDF) |
| 155 | Self-weighted learning framework for adaptive locality discriminant analysis | 8.6 | 9 | Citations (PDF) |
| 156 | OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition | 5.7 | 55 | Citations (PDF) |
| 157 | Directly solving normalized cut for multi-view data | 8.6 | 8 | Citations (PDF) |
| 158 | Fast Multiview Clustering With Spectral Embedding | 11.6 | 44 | Citations (PDF) |
| 159 | Iteratively Re-Weighted method for Sparsity-Inducing Norms | 9.5 | 5 | Citations (PDF) |
| 160 | Projected fuzzy C-means with probabilistic neighbors | 7.3 | 15 | Citations (PDF) |
| 161 | Efficient Multi-view K-means Clustering with Multiple Anchor Graphs | 9.5 | 26 | Citations (PDF) |
| 162 | Unified dual-label semi-supervised learning with top-k feature selection | 7.2 | 8 | Citations (PDF) |
| 163 | Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals | 10.2 | 50 | Citations (PDF) |
| 164 | Subspace clustering by directly solving Discriminative K-means | 8.3 | 8 | Citations (PDF) |
| 165 | Structured graph optimization for joint spectral embedding and clustering | 7.2 | 7 | Citations (PDF) |
| 166 | Fuzzy Sparse Deviation Regularized Robust Principal Component Analysis | 11.6 | 13 | Citations (PDF) |
| 167 | Fast Adaptive Local Subspace Learning With Regressive Regularization | 4.1 | 1 | Citations (PDF) |
| 168 | Scalable Fuzzy Clustering With Anchor Graph | 9.5 | 15 | Citations (PDF) |
| 169 | An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection | 4.6 | 19 | Citations (PDF) |
| 170 | Effective Clustering via Structured Graph Learning | 9.5 | 6 | Citations (PDF) |
| 171 | Two-Dimensional Embedded Fuzzy Data Clustering | 7.4 | 2 | Citations (PDF) |
| 172 | Large Graph Clustering With Simultaneous Spectral Embedding and Discretization | 16.6 | 75 | Citations (PDF) |
| 173 | Fast Semi-Supervised Learning With Optimal Bipartite Graph | 9.5 | 30 | Citations (PDF) |
| 174 | C2DNDA: A Deep Framework for Nonlinear Dimensionality Reduction | 8.4 | 12 | Citations (PDF) |
| 175 | Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering | 8.6 | 57 | Citations (PDF) |
| 176 | Low Rank Regularization: A review | 6.8 | 77 | Citations (PDF) |
| 177 | Local structured feature learning with dynamic maximum entropy graph | 8.6 | 31 | Citations (PDF) |
| 178 | A semi-supervised learning algorithm via adaptive Laplacian graph | 7.2 | 28 | Citations (PDF) |
| 179 | Towards Robust Discriminative Projections Learning via Non-Greedy -Norm MinMax | 16.6 | 81 | Citations (PDF) |
| 180 | Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization | 11.6 | 115 | Citations (PDF) |
| 181 | Coordinate Descent Method for k-means | 16.6 | 42 | Citations (PDF) |
| 182 | Non-Greedy L21-Norm Maximization for Principal Component Analysis | 11.6 | 20 | Citations (PDF) |
| 183 | Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning | 9.5 | 20 | Citations (PDF) |
| 184 | Flexible Multi-View Unsupervised Graph Embedding | 11.6 | 35 | Citations (PDF) |
| 185 | A Resource-Efficient Parallel Connected Component Labeling Algorithm and its Hardware Implementation | 9.4 | 1 | Citations (PDF) |
| 186 | Multi-View Clustering Based on Invisible Weights | 4.1 | 17 | Citations (PDF) |
| 187 | Adaptive Neighborhood Metric Learning | 16.6 | 20 | Citations (PDF) |
| 188 | Fast optimization of spectral embedding and improved spectral rotation | 9.5 | 18 | Citations (PDF) |
| 189 | Fast Manifold Ranking With Local Bipartite Graph | 11.6 | 1 | Citations (PDF) |
| 190 | Deep linear discriminant analysis hashing | 0.3 | 3 | Citations (PDF) |
| 191 | Self-weighted Robust LDA for Multiclass Classification with Edge Classes | 6.3 | 87 | Citations (PDF) |
| 192 | Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers | 10.3 | 1 | Citations (PDF) |
| 193 | Unsupervised and Semisupervised Projection With Graph Optimization | 12.1 | 46 | Citations (PDF) |
| 194 | Supervised Feature Selection With Orthogonal Regression and Feature Weighting | 12.1 | 98 | Citations (PDF) |
| 195 | Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection | 4.6 | 15 | Citations (PDF) |
| 196 | Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection | 19.9 | 82 | Citations (PDF) |
| 197 | Graph regularized nonnegative matrix factorization with label discrimination for data clustering | 7.2 | 32 | Citations (PDF) |
| 198 | Dependence-Guided Multi-View Clustering 2021, 11, 3650-3654 | | 6 | Citations (PDF) |
| 199 | Adaptive Feature Weight Learning For Robust Clustering Problem with Sparse Constraint 2021, 44, 3125-3129 | | 3 | Citations (PDF) |
| 200 | Fast Local Representation Learning with Adaptive Anchor Graph 2021, , | | 3 | Citations (PDF) |
| 201 | A Rank-Constrained Clustering Algorithm with Adaptive Embedding 2021, 17, 2845-2849 | | 3 | Citations (PDF) |
| 202 | Multi-view clustering with interactive mechanism | 7.2 | 11 | Citations (PDF) |
| 203 | Discrete Multiple Kernel k-means 2021, , 3111-3117 | | 20 | Citations (PDF) |
| 204 | Adaptive discriminant analysis for semi-supervised feature selection | 7.3 | 43 | Citations (PDF) |
| 205 | Matrix completion with column outliers and sparse noise | 7.3 | 9 | Citations (PDF) |
| 206 | Fuzzy graph clustering | 7.3 | 41 | Citations (PDF) |
| 207 | An Efficient Density-based clustering algorithm for face groping | 7.2 | 9 | Citations (PDF) |
| 208 | Dimension reduction of multimodal data by auto-weighted local discriminant analysis | 7.2 | 7 | Citations (PDF) |
| 209 | Flexible multi-view semi-supervised learning with unified graph | 6.8 | 8 | Citations (PDF) |
| 210 | Multi-Directional Multi-Label Learning | 3.9 | 1 | Citations (PDF) |
| 211 | Joint nonlinear feature selection and continuous values regression network | 4.0 | 5 | Citations (PDF) |
| 212 | Fast local representation learning via adaptive anchor graph for image retrieval | 7.3 | 9 | Citations (PDF) |
| 213 | Learning unsupervised node representation from multi-view network | 7.3 | 13 | Citations (PDF) |
| 214 | Semi-supervised multi-Layer convolution kernel learning in credit evaluation | 8.6 | 16 | Citations (PDF) |
| 215 | Unsupervised Optimized Bipartite Graph Embedding | 9.5 | 10 | Citations (PDF) |
| 216 | Adaptive Flexible Optimal Graph for Unsupervised Dimensionality Reduction | 4.1 | 7 | Citations (PDF) |
| 217 | New Tight Relaxations of Rank Minimization for Multi-Task Learning 2021, 2, 2910-2914 | | 1 | Citations (PDF) |
| 218 | Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification | 7.0 | 29 | Citations (PDF) |
| 219 | Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining | 4.6 | 25 | Citations (PDF) |
| 220 | Sparse PCA via L2,p-Norm Regularization for Unsupervised Feature Selection | 16.6 | 27 | Citations (PDF) |
| 221 | Spectral Clustering by Joint Spectral Embedding and Spectral Rotation | 12.4 | 95 | Citations (PDF) |
| 222 | Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression | 9.5 | 86 | Citations (PDF) |
| 223 | Detecting Coherent Groups in Crowd Scenes by Multiview Clustering | 16.6 | 231 | Citations (PDF) |
| 224 | Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph | 9.5 | 39 | Citations (PDF) |
| 225 | Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data | 12.1 | 34 | Citations (PDF) |
| 226 | Joint Principal Component and Discriminant Analysis for Dimensionality Reduction | 12.1 | 56 | Citations (PDF) |
| 227 | LABIN: Balanced Min Cut for Large-Scale Data | 12.1 | 33 | Citations (PDF) |
| 228 | Multiview Semi-Supervised Learning Model for Image Classification | 9.5 | 47 | Citations (PDF) |
| 229 | Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph | 12.4 | 57 | Citations (PDF) |
| 230 | Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning | 9.5 | 71 | Citations (PDF) |
| 231 | Multi-View Scaling Support Vector Machines for Classification and Feature Selection | 9.5 | 59 | Citations (PDF) |
| 232 | Fast spectral clustering learning with hierarchical bipartite graph for large-scale data | 4.0 | 56 | Citations (PDF) |
| 233 | Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization | 11.5 | 90 | Citations (PDF) |
| 234 | Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding | 19.9 | 201 | Citations (PDF) |
| 235 | Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking | 9.4 | 46 | Citations (PDF) |
| 236 | A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition | 12.1 | 339 | Citations (PDF) |
| 237 | Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning | 12.1 | 149 | Citations (PDF) |
| 238 | Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection | 12.1 | 56 | Citations (PDF) |
| 239 | A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System | 11.1 | 9 | Citations (PDF) |
| 240 | Supervised Dimensionality Reduction Methods via Recursive Regression | 12.1 | 15 | Citations (PDF) |
| 241 | Multiclass discriminant analysis via adaptive weighted scheme | 7.2 | 10 | Citations (PDF) |
| 242 | Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning | 11.6 | 48 | Citations (PDF) |
| 243 | A forest of trees with principal direction specified oblique split on random subspace | 7.2 | 3 | Citations (PDF) |
| 244 | Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity | 12.1 | 4 | Citations (PDF) |
| 245 | Decision Tree SVM: An extension of linear SVM for non-linear classification | 7.2 | 79 | Citations (PDF) |
| 246 | Optimal Projection Guided Transfer Hashing for Image Retrieval | 11.1 | 35 | Citations (PDF) |
| 247 | WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks | 9.4 | 20 | Citations (PDF) |
| 248 | Multi-view spectral clustering via sparse graph learning | 7.2 | 113 | Citations (PDF) |
| 249 | Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance | 1.8 | 3 | Citations (PDF) |
| 250 | Structured Optimal Graph-Based Clustering With Flexible Embedding | 12.1 | 14 | Citations (PDF) |
| 251 | Double-Attentive Principle Component Analysis | 4.1 | 7 | Citations (PDF) |
| 252 | Capped $\ell _p$-Norm LDA for Outliers Robust Dimension Reduction | 4.1 | 15 | Citations (PDF) |
| 253 | Self-weighted collaborative representation for hyperspectral anomaly detection | 3.9 | 37 | Citations (PDF) |
| 254 | Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers 2020, 64, 4826-4835 | | 7 | Citations (PDF) |
| 255 | Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification 2020, , 2073-2077 | | 12 | Citations (PDF) |
| 256 | Multi-View Clustering Via Mixed Embedding Approximation 2020, , 3977-3981 | | 10 | Citations (PDF) |
| 257 | Fair and cache blocking aware warp scheduling for concurrent kernel execution on GPU | 8.1 | 6 | Citations (PDF) |
| 258 | Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-means | 9.5 | 26 | Citations (PDF) |
| 259 | Revisiting Fast Spectral Clustering with Anchor Graph 2020, , 3902-3906 | | 32 | Citations (PDF) |
| 260 | Enhanced Balanced Min Cut | 9.5 | 37 | Citations (PDF) |
| 261 | Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery | 7.0 | 49 | Citations (PDF) |
| 262 | Robust and Efficient Linear Discriminant Analysis With<i>L</i><sub>2,1</sub>-Norm for Feature Selection | 4.8 | 18 | Citations (PDF) |
| 263 | A linear multivariate binary decision tree classifier based on K-means splitting | 8.6 | 45 | Citations (PDF) |
| 264 | Fast adaptive neighbors clustering via embedded clustering | 7.2 | 12 | Citations (PDF) |
| 265 | Auto-weighted multi-view clustering via spectral embedding | 7.2 | 51 | Citations (PDF) |
| 266 | Auto-weighted multi-view co-clustering via fast matrix factorization | 8.6 | 89 | Citations (PDF) |
| 267 | Self-Weighted Clustering With Adaptive Neighbors | 12.1 | 72 | Citations (PDF) |
| 268 | Co-Clustering Ensemble Based on Bilateral K-Means Algorithm | 4.8 | 11 | Citations (PDF) |
| 269 | Ratio sum formula for dimensionality reduction | 3.6 | 4 | Citations (PDF) |
| 270 | Fast algorithm for large‐scale subspace clustering by LRR | 2.8 | 7 | Citations (PDF) |
| 271 | Adaptive Local Linear Discriminant Analysis | 4.3 | 52 | Citations (PDF) |
| 272 | Discriminative Feature Selection via A Structured Sparse Subspace Learning Module 2020, , 3009-3015 | | 65 | Citations (PDF) |
| 273 | Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint | 0.5 | 1 | Citations (PDF) |
| 274 | Exploiting Combination Effect for Unsupervised Feature Selection by <inline-formula> <tex-math notation="LaTeX">$\ell_{2,0}$ </tex-math> </inline-formula> Norm | 12.1 | 54 | Citations (PDF) |
| 275 | A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction | 9.5 | 91 | Citations (PDF) |
| 276 | Harmonic Mean Linear Discriminant Analysis | 9.5 | 30 | Citations (PDF) |
| 277 | Efficient Feature Selection via $\ell _{2,0}$ ℓ2,0-norm Constrained Sparse Regression | 9.5 | 90 | Citations (PDF) |
| 278 | Semisupervised Learning With Parameter-Free Similarity of Label and Side Information | 12.1 | 16 | Citations (PDF) |
| 279 | Spectral Embedded Adaptive Neighbors Clustering | 12.1 | 137 | Citations (PDF) |
| 280 | Joint Structured Graph Learning and Unsupervised Feature Selection 2019, 22, 3572-3576 | | 4 | Citations (PDF) |
| 281 | K-Multiple-Means 2019, , | | 106 | Citations (PDF) |
| 282 | Unsupervised Feature Selection Based on Reconstruction Error Minimization 2019, , | | 9 | Citations (PDF) |
| 283 | An efficient framework for unsupervised feature selection | 7.2 | 28 | Citations (PDF) |
| 284 | Modified fuzzy clustering with segregated cluster centroids | 7.2 | 7 | Citations (PDF) |
| 285 | Adaptive graph weighting for multi-view dimensionality reduction | 3.9 | 22 | Citations (PDF) |
| 286 | Feature Learning Viewpoint of Adaboost and a New Algorithm | 4.8 | 60 | Citations (PDF) |
| 287 | A Probabilistic Derivation of LASSO and L12-Norm Feature Selections | 5.0 | 34 | Citations (PDF) |
| 288 | Structured Graph Reconstruction for Scalable Clustering | 9.5 | 5 | Citations (PDF) |
| 289 | Structured Graph Optimization for Unsupervised Feature Selection | 9.5 | 60 | Citations (PDF) |
| 290 | Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning | 9.5 | 24 | Citations (PDF) |
| 291 | Nuclear-norm based 2DLDA with application to face recognition | 7.2 | 13 | Citations (PDF) |
| 292 | Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image | 7.0 | 85 | Citations (PDF) |
| 293 | Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation 2019, 2, 3692-3696 | | 6 | Citations (PDF) |
| 294 | Joint Structured Graph Learning and Clustering Based on Concept Factorization 2019, 33, 3162-3166 | | 4 | Citations (PDF) |
| 295 | Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization 2019, , | | 6 | Citations (PDF) |
| 296 | Dense Multimodal Fusion for Hierarchically Joint Representation 2019, , | | 33 | Citations (PDF) |
| 297 | Discrete Multi-Graph Clustering | 11.6 | 22 | Citations (PDF) |
| 298 | Flexible unsupervised feature extraction for image classification | 6.8 | 52 | Citations (PDF) |
| 299 | Speed up dynamic time warpingof multivariate time series | 1.4 | 17 | Citations (PDF) |
| 300 | Speed Up Similarity Search of Time Series Under Dynamic Time Warping | 4.8 | 17 | Citations (PDF) |
| 301 | Deep Binary Reconstruction for Cross-Modal Hashing | 9.4 | 102 | Citations (PDF) |
| 302 | A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization | 11.6 | 60 | Citations (PDF) |
| 303 | Robust Multiple Rank-<inline-formula>
<tex-math notation="LaTeX">$k$ </tex-math>
</inline-formula> Bilinear Projections for Unsupervised Learning | 11.6 | 5 | Citations (PDF) |
| 304 | Adaptive-weighting discriminative regression for multi-view classification | 8.6 | 137 | Citations (PDF) |
| 305 | Matrix Completion Based on Non-Convex Low-Rank Approximation | 11.6 | 63 | Citations (PDF) |
| 306 | Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning | 11.1 | 26 | Citations (PDF) |
| 307 | Joint Learning of Fuzzy <italic>k</italic>-Means and Nonnegative Spectral Clustering With Side Information | 11.6 | 51 | Citations (PDF) |
| 308 | Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction | 12.1 | 40 | Citations (PDF) |
| 309 | Unsupervised Feature Selection via Adaptive Multimeasure Fusion | 12.1 | 40 | Citations (PDF) |
| 310 | Scalable and Flexible Unsupervised Feature Selection | 2.2 | 7 | Citations (PDF) |
| 311 | Multiview Consensus Graph Clustering | 11.6 | 470 | Citations (PDF) |
| 312 | Discrete Spectral Hashing for Efficient Similarity Retrieval | 11.6 | 35 | Citations (PDF) |
| 313 | A Local and Global Discriminative Framework and Optimization for Balanced Clustering | 12.1 | 25 | Citations (PDF) |
| 314 | Feature selection with multi-view data: A survey | 19.9 | 266 | Citations (PDF) |
| 315 | Hierarchical Feature Selection for Random Projection | 12.1 | 74 | Citations (PDF) |
| 316 | Graph Structure Fusion for Multiview Clustering | 9.5 | 158 | Citations (PDF) |
| 317 | Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection | 12.1 | 155 | Citations (PDF) |
| 318 | Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis | 12.4 | 39 | Citations (PDF) |
| 319 | Large-Scale Robust Semisupervised Classification | 12.4 | 17 | Citations (PDF) |
| 320 | A General Framework for Dimensionality Reduction of K-Means Clustering | 1.8 | 12 | Citations (PDF) |
| 321 | On the optimal solution to maximum margin projection pursuit | 3.6 | 1 | Citations (PDF) |
| 322 | Worst-Case Discriminative Feature Selection 2019, , 2973-2979 | | 12 | Citations (PDF) |
| 323 | Fast clustering based on bipartite graph | 0.2 | 0 | Citations (PDF) |
| 324 | Large‐Scale Spectral Clustering Based on Representative Points | 1.3 | 5 | Citations (PDF) |
| 325 | Rank-$k$ 2-D Multinomial Logistic Regression for Matrix Data Classification | 12.1 | 7 | Citations (PDF) |
| 326 | LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification | 7.0 | 9 | Citations (PDF) |
| 327 | Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models | 9.4 | 29 | Citations (PDF) |
| 328 | Fast unsupervised feature selection with anchor graph and ℓ2,1-norm regularization | 3.6 | 12 | Citations (PDF) |
| 329 | Efficient tree classifiers for large scale datasets | 7.2 | 36 | Citations (PDF) |
| 330 | SVM based multi-label learning with missing labels for image annotation | 8.6 | 138 | Citations (PDF) |
| 331 | Robust Object Co-Segmentation Using Background Prior | 11.6 | 158 | Citations (PDF) |
| 332 | PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data | 9.5 | 51 | Citations (PDF) |
| 333 | Local Regression and Global Information-Embedded Dimension Reduction | 12.1 | 34 | Citations (PDF) |
| 334 | Self-Weighted Supervised Discriminative Feature Selection | 12.1 | 61 | Citations (PDF) |
| 335 | $\ell _{2,p}$ -Norm Based PCA for Image Recognition | 11.6 | 108 | Citations (PDF) |
| 336 | Self-weighted discriminative feature selection via adaptive redundancy minimization | 7.2 | 11 | Citations (PDF) |
| 337 | Robust principal component analysis via optimal mean by joint ℓ2,1 and Schatten p-norms minimization | 7.2 | 36 | Citations (PDF) |
| 338 | Robust feature selection via simultaneous sapped norm and sparse regularizer minimization | 7.2 | 29 | Citations (PDF) |
| 339 | Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery | 11.6 | 33 | Citations (PDF) |
| 340 | Rank-Constrained Spectral Clustering With Flexible Embedding | 12.1 | 243 | Citations (PDF) |
| 341 | Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition | 9.5 | 30 | Citations (PDF) |
| 342 | Flexible Manifold Learning With Optimal Graph for Image and Video Representation | 11.6 | 50 | Citations (PDF) |
| 343 | Adaptive Unsupervised Feature Selection With Structure Regularization | 12.1 | 188 | Citations (PDF) |
| 344 | Angle 2DPCA: A New Formulation for 2DPCA | 12.4 | 78 | Citations (PDF) |
| 345 | Nuclear-norm based semi-supervised multiple labels learning | 7.2 | 13 | Citations (PDF) |
| 346 | Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification | 11.6 | 360 | Citations (PDF) |
| 347 | Feature selection under regularized orthogonal least square regression with optimal scaling | 7.2 | 32 | Citations (PDF) |
| 348 | Directly Solving the Original Ratiocut Problem for Effective Data Clustering 2018, , | | 6 | Citations (PDF) |
| 349 | Learning Multi-instance Enriched Image Representations via Non-greedy Ratio Maximization of the l1-Norm Distances 2018, 33, 7727-7735 | | 10 | Citations (PDF) |
| 350 | Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation 2018, , | | 4 | Citations (PDF) |
| 351 | A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection 2018, , | | 14 | Citations (PDF) |
| 352 | Unsupervised Feature Selection with Local Structure Learning 2018, , 3398-3402 | | 3 | Citations (PDF) |
| 353 | Locality-Based Discriminant Feature Selection with Trace Ratio 2018, 24, 3373-3377 | | 1 | Citations (PDF) |
| 354 | Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information 2018, 32, 1567-1570 | | 7 | Citations (PDF) |
| 355 | Robust Low Rank Approxiamtion via Inliers Selection 2018, 9, 3688-3692 | | 0 | Citations (PDF) |
| 356 | Fast and Flexible Large Graph Embedding Based on Anchors | 13.5 | 8 | Citations (PDF) |
| 357 | Self-Weighted Adaptive Locality Discriminant Analysis 2018, 9, 3378-3382 | | 6 | Citations (PDF) |
| 358 | Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means 2018, , 1503-1507 | | 1 | Citations (PDF) |
| 359 | Spectral clustering based on iterative optimization for large-scale and high-dimensional data | 7.2 | 30 | Citations (PDF) |
| 360 | Euler Label Consistent K-SVD for image classification and action recognition | 7.2 | 15 | Citations (PDF) |
| 361 | Auto-weighted 2-dimensional maximum margin criterion | 8.6 | 2 | Citations (PDF) |
| 362 | Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features | 12.1 | 249 | Citations (PDF) |
| 363 | Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data | 12.1 | 54 | Citations (PDF) |
| 364 | Manifold Adaptive Kernelized Low‐Rank Representation for Semisupervised Image Classification | 1.8 | 2 | Citations (PDF) |
| 365 | Discriminant Analysis via Joint Euler Transform and $\ell_{2,1}$ -Norm | 11.6 | 29 | Citations (PDF) |
| 366 | Calibrated Multi-Task Learning 2018, , 2012-2021 | | 23 | Citations (PDF) |
| 367 | Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut 2018, 1, 1206-1215 | | 64 | Citations (PDF) |
| 368 | Multiview Clustering via Adaptively Weighted Procrustes 2018, , | | 187 | Citations (PDF) |
| 369 | Adaptive Neighborhood MinMax Projections | 7.2 | 10 | Citations (PDF) |
| 370 | Matrix completion and vector completion via robust subspace learning | 7.2 | 5 | Citations (PDF) |
| 371 | Multi-view embedded clustering with unsupervised trace ratio LDA | 7.2 | 4 | Citations (PDF) |
| 372 | An improved locality preserving projection with ℓ1-norm minimization for dimensionality reduction | 7.2 | 24 | Citations (PDF) |
| 373 | An investigation for loss functions widely used in machine learning | 0.9 | 34 | Citations (PDF) |
| 374 | Convex Sparse PCA for Unsupervised Feature Learning | 4.3 | 78 | Citations (PDF) |
| 375 | Avoiding Optimal Mean ℓ<sub>2,1</sub>-Norm Maximization-Based Robust PCA for Reconstruction | 2.2 | 17 | Citations (PDF) |
| 376 | Self-weighted spectral clustering with parameter-free constraint | 7.2 | 24 | Citations (PDF) |
| 377 | Re-Weighted Discriminatively Embedded $K$ -Means for Multi-View Clustering | 11.6 | 131 | Citations (PDF) |
| 378 | Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering | 11.6 | 219 | Citations (PDF) |
| 379 | Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning | 14.1 | 58 | Citations (PDF) |
| 380 | A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering | 2.2 | 13 | Citations (PDF) |
| 381 | Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery | 2.2 | 5 | Citations (PDF) |
| 382 | 2D Feature Selection by Sparse Matrix Regression | 11.6 | 39 | Citations (PDF) |
| 383 | Local PurTree Spectral Clustering for Massive Customer Transaction Data | 5.9 | 11 | Citations (PDF) |
| 384 | Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight | 9.5 | 177 | Citations (PDF) |
| 385 | Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning | 2.2 | 18 | Citations (PDF) |
| 386 | Optimal mean two-dimensional principal component analysis with F-norm minimization | 8.6 | 33 | Citations (PDF) |
| 387 | Refined Spectral Clustering via Embedded Label Propagation | 2.2 | 9 | Citations (PDF) |
| 388 | Convex Multiview Semi-Supervised Classification | 11.6 | 31 | Citations (PDF) |
| 389 | Fast Spectral Clustering with efficient large graph construction 2017, , 2492-2496 | | 85 | Citations (PDF) |
| 390 | Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis | 9.5 | 140 | Citations (PDF) |
| 391 | Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data | 2.2 | 30 | Citations (PDF) |
| 392 | Semi-supervised learning on large-scale geotagged photos for situation recognition | 3.6 | 5 | Citations (PDF) |
| 393 | Semi-supervised classification via both label and side information 2017, , 2417-2421 | | 2 | Citations (PDF) |
| 394 | Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images | 3.8 | 141 | Citations (PDF) |
| 395 | Scalable Multi-View Semi-Supervised Classification via Adaptive Regression | 11.6 | 107 | Citations (PDF) |
| 396 | Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction | 11.6 | 138 | Citations (PDF) |
| 397 | Unsupervised Single and Multiple Views Feature Extraction with Structured Graph | 9.5 | 60 | Citations (PDF) |
| 398 | Embedded clustering via robust orthogonal least square discriminant analysis 2017, , 2332-2336 | | 7 | Citations (PDF) |
| 399 | Largest center-specific margin for dimension reduction 2017, , 2352-2356 | | 1 | Citations (PDF) |
| 400 | A generalized power iteration method for solving quadratic problem on the Stiefel manifold | 5.0 | 162 | Citations (PDF) |
| 401 | Auto-weighted two-dimensional principal component analysis with robust outliers 2017, , 6065-6069 | | 11 | Citations (PDF) |
| 402 | A Non-Greedy Algorithm for L1-Norm LDA | 11.6 | 104 | Citations (PDF) |
| 403 | Regularized Class-Specific Subspace Classifier | 12.1 | 7 | Citations (PDF) |
| 404 | A graph regularized dimension reduction method for out-of-sample data | 7.2 | 12 | Citations (PDF) |
| 405 | Deep Binary Reconstruction for Cross-modal Hashing 2017, 313, 1398-1406 | | 39 | Citations (PDF) |
| 406 | Ranking with adaptive neighbors | 4.4 | 1 | Citations (PDF) |
| 407 | A Self-Balanced Min-Cut Algorithm for Image Clustering 2017, 2, 2080-2088 | | 46 | Citations (PDF) |
| 408 | Projected clustering via robust orthogonal least square regression with optimal scaling 2017, , 2784-2791 | | 3 | Citations (PDF) |
| 409 | Scalable Normalized Cut with Improved Spectral Rotation 2017, , 1518-1524 | | 45 | Citations (PDF) |
| 410 | Semi-supervised Feature Selection via Rescaled Linear Regression 2017, , 1525-1531 | | 82 | Citations (PDF) |
| 411 | Locality Adaptive Discriminant Analysis 2017, , 2201-2207 | | 115 | Citations (PDF) |
| 412 | Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression 2017, , 2421-2427 | | 15 | Citations (PDF) |
| 413 | Joint Capped Norms Minimization for Robust Matrix Recovery 2017, , 2557-2563 | | 28 | Citations (PDF) |
| 414 | Self-weighted Multiview Clustering with Multiple Graphs 2017, , 2564-2570 | | 429 | Citations (PDF) |
| 415 | Convolutional 2D LDA for Nonlinear Dimensionality Reduction 2017, , 2929-2935 | | 16 | Citations (PDF) |
| 416 | Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction 2017, , 3147-3153 | | 18 | Citations (PDF) |
| 417 | Semi-supervised Orthogonal Graph Embedding with Recursive Projections 2017, , 2308-2314 | | 8 | Citations (PDF) |
| 418 | Unsupervised feature extraction using a learned graph with clustering structure 2016, , 3597-3602 | | 2 | Citations (PDF) |
| 419 | Semi-Supervised Multi-label Dimensionality Reduction 2016, , 919-924 | | 21 | Citations (PDF) |
| 420 | Joint Graph Learning and Video Segmentation via Multiple Cues and Topology Calibration 2016, 27, 831-840 | | 15 | Citations (PDF) |
| 421 | Learning from less for better 2016, , | | 44 | Citations (PDF) |
| 422 | Discriminatively Embedded K-Means for Multi-view Clustering 2016, , 5356-5364 | | 114 | Citations (PDF) |
| 423 | A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification 2016, , 402-409 | | 12 | Citations (PDF) |
| 424 | Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking 2016, , 687-695 | | 63 | Citations (PDF) |
| 425 | Guest editors' introduction: Perception, Aesthetics, and Emotion in Multimedia Quality Modeling | 3.1 | 1 | Citations (PDF) |
| 426 | On the schatten norm for matrix based subspace learning and classification | 7.2 | 22 | Citations (PDF) |
| 427 | Orthogonal least squares regression for feature extraction | 7.2 | 44 | Citations (PDF) |
| 428 | Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation | 11.6 | 114 | Citations (PDF) |
| 429 | Image Classification by Cross-Media Active Learning With Privileged Information | 9.4 | 137 | Citations (PDF) |
| 430 | Capped Lp-Norm Graph Embedding for Photo Clustering 2016, 89, 431-435 | | 13 | Citations (PDF) |
| 431 | A graph based multimodal geospatial interpolation framework 2016, , 1-6 | | 9 | Citations (PDF) |
| 432 | Robust and Effective Metric Learning Using Capped Trace Norm 2016, , 1605-1614 | | 14 | Citations (PDF) |
| 433 | Structured Doubly Stochastic Matrix for Graph Based Clustering 2016, 1, 1245-1254 | | 39 | Citations (PDF) |
| 434 | Unsupervised automatic attribute discovery method via multi-graph clustering 2016, , 1713-1718 | | 12 | Citations (PDF) |
| 435 | Effective Discriminative Feature Selection With Nontrivial Solution | 12.1 | 157 | Citations (PDF) |
| 436 | Compound Rank-<inline-formula> <tex-math notation="LaTeX">$k$ </tex-math> </inline-formula> Projections for Bilinear Analysis | 12.1 | 201 | Citations (PDF) |
| 437 | Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis | 16.6 | 41 | Citations (PDF) |
| 438 | Uncovering Locally Discriminative Structure for Feature Analysis | 0.5 | 8 | Citations (PDF) |
| 439 | Optimal graph learning with partial tags and multiple features for image and video annotation 2015, , 4371-4379 | | 60 | Citations (PDF) |
| 440 | Multi-view Subspace Clustering 2015, , 4238-4246 | | 469 | Citations (PDF) |
| 441 | Feature Selection via Global Redundancy Minimization | 9.5 | 143 | Citations (PDF) |
| 442 | Robust Capped Norm Nonnegative Matrix Factorization 2015, , | | 46 | Citations (PDF) |
| 443 | Robust 2DPCA With Non-greedy <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula>-Norm Maximization for Image Analysis | 12.4 | 103 | Citations (PDF) |
| 444 | Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data | 12.1 | 79 | Citations (PDF) |
| 445 | Multitask Spectral Clustering by Exploring Intertask Correlation | 12.4 | 152 | Citations (PDF) |
| 446 | Unsupervised Feature Analysis with Class Margin Optimization | 0.5 | 13 | Citations (PDF) |
| 447 | Large-scale adaptive semi-supervised learning via unified inductive and transductive model 2014, , | | 37 | Citations (PDF) |
| 448 | Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection | 12.4 | 594 | Citations (PDF) |
| 449 | Multiple rank multi-linear SVM for matrix data classification | 8.6 | 72 | Citations (PDF) |
| 450 | A generative probability model of joint label fusion for multi-atlas based brain segmentation | 14.1 | 113 | Citations (PDF) |
| 451 | Flexible Shift-Invariant Locality and Globality Preserving Projections | 0.5 | 8 | Citations (PDF) |
| 452 | Clustering and projected clustering with adaptive neighbors 2014, , | | 750 | Citations (PDF) |
| 453 | Harnessing Lab Knowledge for Real-World Action Recognition | 9.5 | 65 | Citations (PDF) |
| 454 | Robust Manifold Nonnegative Matrix Factorization | 4.3 | 235 | Citations (PDF) |
| 455 | Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization | 9.5 | 378 | Citations (PDF) |
| 456 | Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK) | 0.5 | 67 | Citations (PDF) |
| 457 | On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions 2013, , | | 106 | Citations (PDF) |
| 458 | Efficient semi-supervised feature selection with noise insensitive trace ratio criterion | 7.2 | 92 | Citations (PDF) |
| 459 | Learning a subspace for clustering via pattern shrinking | 8.0 | 23 | Citations (PDF) |
| 460 | Predicting Protein–Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization | 1.8 | 56 | Citations (PDF) |
| 461 | Efficient Image Classification via Multiple Rank Regression | 11.6 | 51 | Citations (PDF) |
| 462 | Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model 2013, , | | 93 | Citations (PDF) |
| 463 | Heterogeneous Visual Features Fusion via Sparse Multimodal Machine 2013, 9, 3097-3102 | | 69 | Citations (PDF) |
| 464 | Learning high-dimensional correspondence via manifold learning and local approximation | 5.0 | 8 | Citations (PDF) |
| 465 | Joint Schatten $$p$$ p -norm and $$\ell _p$$ ℓ p -norm robust matrix completion for missing value recovery | 3.6 | 130 | Citations (PDF) |
| 466 | A Flexible and Effective Linearization Method for Subspace Learning 2013, , 177-203 | | 2 | Citations (PDF) |
| 467 | A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis | 0.5 | 12 | Citations (PDF) |
| 468 | Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion | 0.5 | 3 | Citations (PDF) |
| 469 | Robust and discriminative distance for Multi-Instance Learning 2012, , 2919-2924 | | 8 | Citations (PDF) |
| 470 | Discriminative Least Squares Regression for Multiclass Classification and Feature Selection | 12.1 | 428 | Citations (PDF) |
| 471 | Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort | 5.0 | 166 | Citations (PDF) |
| 472 | Unsupervised maximum margin feature selection via L 2,1-norm minimization | 5.0 | 30 | Citations (PDF) |
| 473 | Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization 2012, 10, 566-574 | | 88 | Citations (PDF) |
| 474 | Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition | 11.1 | 22 | Citations (PDF) |
| 475 | Discriminating Joint Feature Analysis for Multimedia Data Understanding | 9.4 | 147 | Citations (PDF) |
| 476 | Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection | 9.4 | 184 | Citations (PDF) |
| 477 | Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction | 4.0 | 61 | Citations (PDF) |
| 478 | Initialization Independent Clustering With Actively Self-Training Method | 5.7 | 53 | Citations (PDF) |
| 479 | Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding | 11.6 | 103 | Citations (PDF) |
| 480 | Semi-Supervised Dimension Reduction Using Trace Ratio Criterion | 12.1 | 97 | Citations (PDF) |
| 481 | A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback | 16.6 | 427 | Citations (PDF) |
| 482 | Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation 2011, , 774-783 | | 31 | Citations (PDF) |
| 483 | Multi-Class L2,1-Norm Support Vector Machine 2011, 61, 91-100 | | 42 | Citations (PDF) |
| 484 | Semisupervised Learning Using Negative Labels | 5.1 | 21 | Citations (PDF) |
| 485 | Interactive Image Segmentation With Multiple Linear Reconstructions in Windows | 9.4 | 18 | Citations (PDF) |
| 486 | Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance 2011, 21, 557-562 | | 82 | Citations (PDF) |
| 487 | Heterogeneous image feature integration via multi-modal spectral clustering 2011, , 1977-1984 | | 185 | Citations (PDF) |
| 488 | Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering | 5.1 | 267 | Citations (PDF) |
| 489 | Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression | 5.7 | 93 | Citations (PDF) |
| 490 | Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor | 4.9 | 95 | Citations (PDF) |
| 491 | 3D human pose recovery from image by efficient visual feature selection | 4.4 | 33 | Citations (PDF) |
| 492 | Unsupervised and semi-supervised learning via &#x2113;<inf>1</inf>-norm graph 2011, , 2268-2273 | | 35 | Citations (PDF) |
| 493 | Dyadic transfer learning for cross-domain image classification 2011, , 551-556 | | 43 | Citations (PDF) |
| 494 | Consensus spectral clustering in near-linear time 2011, , 1079-1090 | | 18 | Citations (PDF) |
| 495 | Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression | 0.5 | 60 | Citations (PDF) |
| 496 | On the eigenvectors of p-Laplacian | 2.6 | 44 | Citations (PDF) |
| 497 | A general kernelization framework for learning algorithms based on kernel PCA | 7.2 | 87 | Citations (PDF) |
| 498 | Classification by semi-supervised discriminative regularization | 7.2 | 38 | Citations (PDF) |
| 499 | Multiple view semi-supervised dimensionality reduction | 8.6 | 99 | Citations (PDF) |
| 500 | Regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition 2010, , 2449-2452 | | 9 | Citations (PDF) |
| 501 | Image Clustering Using Local Discriminant Models and Global Integration | 11.6 | 328 | Citations (PDF) |
| 502 | Improved MinMax Cut Graph Clustering with Nonnegative Relaxation | 0.5 | 57 | Citations (PDF) |
| 503 | Semi-Supervised Classification via Local Spline Regression | 16.6 | 112 | Citations (PDF) |
| 504 | Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction | 11.6 | 477 | Citations (PDF) |
| 505 | TurboPixel Segmentation Using Eigen-Images | 11.6 | 30 | Citations (PDF) |
| 506 | Semi-supervised feature selection based on label propagation and subset selection 2010, , 293-296 | | 20 | Citations (PDF) |
| 507 | Learning an Orthogonal and Smooth Subspace for Image Classification | 4.1 | 15 | Citations (PDF) |
| 508 | Probabilistic Labeled Semi-supervised SVM 2009, , 394-399 | | 6 | Citations (PDF) |
| 509 | Nonlinear Dimensionality Reduction with Local Spline Embedding | 9.5 | 108 | Citations (PDF) |
| 510 | Orthogonal locality minimizing globality maximizing projections for feature extraction | 1.1 | 47 | Citations (PDF) |
| 511 | Nonlinear dimensionality reduction with relative distance comparison | 7.2 | 10 | Citations (PDF) |
| 512 | Extracting the optimal dimensionality for local tensor discriminant analysis | 8.6 | 72 | Citations (PDF) |
| 513 | Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations | 2.9 | 2 | Citations (PDF) |
| 514 | Semi-supervised orthogonal discriminant analysis via label propagation | 8.6 | 139 | Citations (PDF) |
| 515 | Ranking with local regression and global alignment for cross media retrieval 2009, , | | 154 | Citations (PDF) |
| 516 | Trace Ratio Problem Revisited | 5.1 | 256 | Citations (PDF) |
| 517 | Interactive Natural Image Segmentation via Spline Regression | 11.6 | 35 | Citations (PDF) |
| 518 | A general graph-based semi-supervised learning with novel class discovery | 5.0 | 126 | Citations (PDF) |
| 519 | Contour graph based human tracking and action sequence recognition | 8.6 | 15 | Citations (PDF) |
| 520 | Learning a Mahalanobis distance metric for data clustering and classification | 8.6 | 572 | Citations (PDF) |
| 521 | A unified framework for semi-supervised dimensionality reduction | 8.6 | 171 | Citations (PDF) |
| 522 | Semi-supervised sub-manifold discriminant analysis | 4.0 | 31 | Citations (PDF) |
| 523 | Embedding new data points for manifold learning via coordinate propagation | 3.6 | 38 | Citations (PDF) |
| 524 | Extracting the Optimal Dimensionality for Discriminant Analysis 2007, , | | 2 | Citations (PDF) |
| 525 | Semi-supervised additive logistic regression: A gradient descent solution | 4.4 | 3 | Citations (PDF) |