Feiping Nie
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Researcher ORCID ID = 0000-0002-0871-6519
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Feiping Niecomputer-science Degrees
Computer Science
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Computational Linguistics
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Machine Learning
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Computer Science
Feiping Nie's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science University of California, Berkeley
- Bachelors Computer Science Tsinghua University
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(Suggest an Edit or Addition)Feiping Nie's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization (2010) (1696)
- Clustering and projected clustering with adaptive neighbors (2014) (598)
- Learning a Mahalanobis distance metric for data clustering and classification (2008) (532)
- The Constrained Laplacian Rank Algorithm for Graph-Based Clustering (2016) (489)
- Multi-View K-Means Clustering on Big Data (2013) (464)
- Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction (2010) (448)
- Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection (2014) (434)
- A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback (2012) (402)
- Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization (2015) (366)
- Large-Scale Multi-View Spectral Clustering via Bipartite Graph (2015) (358)
- Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification (2016) (356)
- Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours (2017) (353)
- Trace Ratio Criterion for Feature Selection (2008) (344)
- Image Clustering Using Local Discriminant Models and Global Integration (2010) (341)
- Discriminative Least Squares Regression for Multiclass Classification and Feature Selection (2012) (336)
- Multi-view Subspace Clustering (2015) (323)
- Self-weighted Multiview Clustering with Multiple Graphs (2017) (301)
- Multi-View Clustering and Feature Learning via Structured Sparsity (2013) (281)
- Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization (2012) (268)
- Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering (2011) (268)
- Trace Ratio Problem Revisited (2009) (266)
- Detecting Coherent Groups in Crowd Scenes by Multiview Clustering (2020) (230)
- Heterogeneous image feature integration via multi-modal spectral clustering (2011) (229)
- A Convex Formulation for Semi-Supervised Multi-Label Feature Selection (2014) (222)
- Unsupervised Feature Selection with Structured Graph Optimization (2016) (215)
- Multiview Consensus Graph Clustering (2019) (211)
- Optimal Mean Robust Principal Component Analysis (2014) (208)
- Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering (2017) (198)
- Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization (2011) (197)
- Ranking with local regression and global alignment for cross media retrieval (2009) (186)
- Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection (2012) (185)
- Robust Manifold Nonnegative Matrix Factorization (2014) (182)
- Compound Rank- $k$ Projections for Bilinear Analysis (2014) (173)
- Adaptive Unsupervised Feature Selection With Structure Regularization (2018) (172)
- A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering (2015) (170)
- A unified framework for semi-supervised dimensionality reduction (2008) (169)
- Feature Selection via Joint Embedding Learning and Sparse Regression (2011) (163)
- Robust Object Co-Segmentation Using Background Prior (2018) (162)
- Multitask Spectral Clustering by Exploring Intertask Correlation (2015) (160)
- A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition (2020) (157)
- Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis (2017) (157)
- Feature selection with multi-view data: A survey (2019) (156)
- Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort (2012) (153)
- Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification (2018) (141)
- Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning (2012) (140)
- Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance (2011) (139)
- Semi-supervised orthogonal discriminant analysis via label propagation (2009) (139)
- Deep Multimodal Clustering for Unsupervised Audiovisual Learning (2018) (133)
- Discriminating Joint Feature Analysis for Multimedia Data Understanding (2012) (132)
- Image Classification by Cross-Media Active Learning With Privileged Information (2016) (132)
- Feature Selection via Global Redundancy Minimization (2015) (131)
- Effective Discriminative Feature Selection With Nontrivial Solution (2015) (126)
- Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding (2012) (126)
- Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation (2016) (123)
- A Multiview-Based Parameter Free Framework for Group Detection (2017) (122)
- A generative probability model of joint label fusion for multi-atlas based brain segmentation (2014) (119)
- Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering (2011) (119)
- Multiview Clustering via Adaptively Weighted Procrustes (2018) (119)
- Semi-Supervised Classification via Local Spline Regression (2010) (118)
- Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization (2012) (116)
- Exact Top-k Feature Selection via l2, 0-Norm Constraint (2013) (115)
- A general graph-based semi-supervised learning with novel class discovery (2010) (114)
- Robust 2DPCA With Non-greedy $\ell _{1}$ -Norm Maximization for Image Analysis (2015) (113)
- Rank-Constrained Spectral Clustering With Flexible Embedding (2018) (112)
- Nonlinear Dimensionality Reduction with Local Spline Embedding (2009) (111)
- Tag localization with spatial correlations and joint group sparsity (2011) (108)
- Discriminatively Embedded K-Means for Multi-view Clustering (2016) (108)
- Unsupervised Large Graph Embedding (2017) (107)
- A generalized power iteration method for solving quadratic problem on the Stiefel manifold (2017) (106)
- Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight (2017) (106)
- SVM based multi-label learning with missing labels for image annotation (2018) (106)
- Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model (2013) (106)
- On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions (2013) (105)
- Spectral Embedded Adaptive Neighbors Clustering (2019) (102)
- Multiple view semi-supervised dimensionality reduction (2010) (101)
- Locality Adaptive Discriminant Analysis (2017) (100)
- Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection (2019) (100)
- Neighborhood MinMax Projections (2007) (100)
- Graph Structure Fusion for Multiview Clustering (2019) (100)
- Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression (2011) (99)
- Semi-Supervised Dimension Reduction Using Trace Ratio Criterion (2012) (96)
- Deep Binary Reconstruction for Cross-Modal Hashing (2017) (96)
- Cauchy Graph Embedding (2011) (95)
- A general kernelization framework for learning algorithms based on kernel PCA (2010) (95)
- Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm (2014) (93)
- Re-Weighted Discriminatively Embedded $K$ -Means for Multi-View Clustering (2017) (92)
- Nonnegative Spectral Clustering with Discriminative Regularization (2011) (91)
- Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor (2011) (91)
- Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features (2018) (91)
- Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization (2014) (90)
- Spectral Rotation versus K-Means in Spectral Clustering (2013) (90)
- Improved MinMax Cut Graph Clustering with Nonnegative Relaxation (2010) (88)
- Joint Schatten $$p$$p-norm and $$\ell _p$$ℓp-norm robust matrix completion for missing value recovery (2013) (87)
- Heterogeneous Visual Features Fusion via Sparse Multimodal Machine (2013) (87)
- Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data (2015) (86)
- Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK) (2014) (86)
- Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding (2020) (85)
- Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization (2011) (84)
- Unsupervised and semi-supervised learning via ℓ1-norm graph (2011) (82)
- Learning A Structured Optimal Bipartite Graph for Co-Clustering (2017) (82)
- Efficient semi-supervised feature selection with noise insensitive trace ratio criterion (2013) (80)
- Optimal graph learning with partial tags and multiple features for image and video annotation (2015) (80)
- Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images (2017) (79)
- Extracting the optimal dimensionality for local tensor discriminant analysis (2009) (78)
- Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking (2016) (77)
- Multiple rank multi-linear SVM for matrix data classification (2014) (76)
- Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method (2020) (76)
- Spectral Embedded Clustering (2009) (76)
- A Non-Greedy Algorithm for L1-Norm LDA (2017) (75)
- High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction (2012) (74)
- Exploiting the entire feature space with sparsity for automatic image annotation (2011) (69)
- Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction (2017) (69)
- Hierarchical Feature Selection for Random Projection (2019) (68)
- Robust Dictionary Learning with Capped l1-Norm (2015) (67)
- Angle 2DPCA: A New Formulation for 2DPCA (2018) (65)
- From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs (2012) (65)
- Harnessing Lab Knowledge for Real-World Action Recognition (2014) (65)
- Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression (2011) (63)
- Convex Sparse PCA for Unsupervised Feature Learning (2016) (63)
- Scalable Multi-View Semi-Supervised Classification via Adaptive Regression (2017) (63)
- Multi-Subspace Representation and Discovery (2011) (63)
- A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction (2019) (63)
- Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization (2013) (63)
- Adaptive-weighting discriminative regression for multi-view classification (2019) (62)
- Multi-Class L2,1-Norm Support Vector Machine (2011) (62)
- Semi-supervised Feature Selection via Rescaled Linear Regression (2017) (62)
- New primal SVM solver with linear computational cost for big data classifications (2014) (62)
- Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF (2015) (61)
- Adaptive Loss Minimization for Semi-Supervised Elastic Embedding (2013) (61)
- Early Active Learning via Robust Representation and Structured Sparsity (2013) (61)
- $\ell _{2,p}$ -Norm Based PCA for Image Recognition (2018) (60)
- Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization (2012) (59)
- Robust and Sparse Fuzzy K-Means Clustering (2016) (58)
- Initialization Independent Clustering With Actively Self-Training Method (2012) (57)
- Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation (2010) (57)
- Learning from less for better: semi-supervised activity recognition via shared structure discovery (2016) (56)
- Multi-view spectral clustering via sparse graph learning (2020) (55)
- Multiclass Capped ℓp-Norm SVM for Robust Classifications (2017) (55)
- Robust and Discriminative Self-Taught Learning (2013) (54)
- K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters (2019) (54)
- A Closed Form Solution to Multi-View Low-Rank Regression (2015) (53)
- Self-weighted Robust LDA for Multiclass Classification with Edge Classes (2020) (53)
- On the eigenvectors of p-Laplacian (2010) (51)
- Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning (2020) (51)
- Auto-weighted multi-view co-clustering via fast matrix factorization (2020) (50)
- Embedding new data points for manifold learning via coordinate propagation (2007) (50)
- Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction (2012) (50)
- Orthogonal locality minimizing globality maximizing projections for feature extraction (2009) (50)
- Social Trust Prediction Using Rank-k Matrix Recovery (2013) (50)
- Interactive Natural Image Segmentation via Spline Regression (2009) (49)
- Large Graph Hashing with Spectral Rotation (2017) (48)
- New Graph Structured Sparsity Model for Multi-label Image Annotations (2013) (47)
- A Convex Formulation for Spectral Shrunk Clustering (2014) (46)
- Self-Weighted Supervised Discriminative Feature Selection (2018) (46)
- Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation (2011) (46)
- Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image (2019) (46)
- Dyadic transfer learning for cross-domain image classification (2011) (46)
- Efficient Image Classification via Multiple Rank Regression (2013) (46)
- An Iterative Locally Linear Embedding Algorithm (2012) (46)
- 3D human pose recovery from image by efficient visual feature selection (2011) (45)
- Regression Reformulations of LLE and LTSA With Locally Linear Transformation (2011) (44)
- Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking (2020) (44)
- Unsupervised Single and Multiple Views Feature Extraction with Structured Graph (2017) (44)
- Balanced Clustering with Least Square Regression (2017) (43)
- A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization (2019) (43)
- Multi‐modal classification of neurodegenerative disease by progressive graph‐based transductive learning (2017) (43)
- Feature Selection at the Discrete Limit (2014) (43)
- A Convex Sparse PCA for Feature Analysis (2014) (42)
- Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression (2020) (42)
- Flexible Manifold Learning With Optimal Graph for Image and Video Representation (2018) (42)
- Classification by semi-supervised discriminative regularization (2010) (41)
- Graph-without-cut: An Ideal Graph Learning for Image Segmentation (2016) (40)
- Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint (2016) (40)
- Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ1-Norm Maximization (2016) (39)
- Low-Rank Tensor Completion with Spatio-Temporal Consistency (2014) (39)
- Fast spectral clustering learning with hierarchical bipartite graph for large-scale data (2020) (39)
- Multi-View Scaling Support Vector Machines for Classification and Feature Selection (2020) (38)
- Orthogonal least squares regression for feature extraction (2016) (38)
- Large-scale adaptive semi-supervised learning via unified inductive and transductive model (2014) (37)
- Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning (2017) (37)
- Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond (2016) (37)
- Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning (2020) (37)
- Feature Learning Viewpoint of Adaboost and a New Algorithm (2019) (36)
- Structured Graph Optimization for Unsupervised Feature Selection (2019) (36)
- Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis (2016) (36)
- TurboPixel Segmentation Using Eigen-Images (2010) (36)
- Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut (2018) (35)
- Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph (2020) (35)
- Spectral Clustering by Joint Spectral Embedding and Spectral Rotation (2020) (34)
- Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix (2016) (34)
- Discriminative Unsupervised Dimensionality Reduction (2015) (34)
- Exploiting Combination Effect for Unsupervised Feature Selection by $\ell_{2,0}$ Norm (2019) (34)
- Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data (2018) (34)
- Scalable Normalized Cut with Improved Spectral Rotation (2017) (34)
- PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data (2018) (34)
- Trust prediction via aggregating heterogeneous social networks (2012) (33)
- Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery (2018) (33)
- Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization (2015) (32)
- Supervised and Projected Sparse Coding for Image Classification (2013) (32)
- Semi-supervised sub-manifold discriminant analysis (2008) (32)
- Angle Principal Component Analysis (2017) (32)
- Efficient tree classifiers for large scale datasets (2018) (32)
- Matrix Completion Based on Non-Convex Low-Rank Approximation (2019) (32)
- Discriminative Feature Selection via A Structured Sparse Subspace Learning Module (2020) (32)
- Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data (2017) (31)
- Unsupervised maximum margin feature selection via L2,1-norm minimization (2012) (31)
- Spectral clustering based on iterative optimization for large-scale and high-dimensional data (2018) (31)
- Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization (2020) (30)
- Maximum Margin Multi-Instance Learning (2011) (30)
- Flexible unsupervised feature extraction for image classification (2019) (30)
- Multiview Semi-Supervised Learning Model for Image Classification (2020) (30)
- Low Rank Regularization: A review (2020) (30)
- Multi-View Correlated Feature Learning by Uncovering Shared Component (2017) (30)
- Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information (2019) (30)
- Unsupervised Feature Selection via Adaptive Multimeasure Fusion (2019) (30)
- Dense Multimodal Fusion for Hierarchically Joint Representation (2018) (30)
- Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction (2017) (30)
- Learning Instance Specific Distance for Multi-Instance Classification (2011) (29)
- Supervised Feature Selection With Orthogonal Regression and Feature Weighting (2019) (29)
- Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models (2018) (28)
- Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis (2019) (28)
- New l2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering (2018) (28)
- Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning (2020) (28)
- Optimal mean two-dimensional principal component analysis with F-norm minimization (2017) (28)
- A Self-Balanced Min-Cut Algorithm for Image Clustering (2017) (27)
- Large Graph Clustering With Simultaneous Spectral Embedding and Discretization (2020) (27)
- Curriculum Audiovisual Learning (2020) (27)
- New l1-Norm Relaxations and Optimizations for Graph Clustering (2016) (27)
- Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm (2016) (27)
- Optimal Projection Guided Transfer Hashing for Image Retrieval (2019) (27)
- A linear multivariate binary decision tree classifier based on K-means splitting (2020) (27)
- Fast Spectral Clustering with efficient large graph construction (2017) (26)
- 2D Feature Selection by Sparse Matrix Regression (2017) (26)
- Robust principal component analysis via optimal mean by joint ℓ2, 1 and Schatten p-norms minimization (2018) (25)
- Auto-weighted multi-view clustering via spectral embedding (2020) (25)
- Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering (2021) (25)
- Efficient Feature Selection via $\ell _{2, 0}$ℓ2, 0-norm Constrained Sparse Regression (2019) (25)
- Calibrated Multi-Task Learning (2018) (25)
- Decision Tree SVM: An extension of linear SVM for non-linear classification (2020) (24)
- Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering (2017) (24)
- Social trust prediction using heterogeneous networks (2013) (24)
- Joint Graph Learning and Video Segmentation via Multiple Cues and Topology Calibration (2016) (24)
- Multi-Class Support Vector Machine via Maximizing Multi-Class Margins (2017) (24)
- Joint Capped Norms Minimization for Robust Matrix Recovery (2017) (24)
- Fast Multi-View Semi-Supervised Learning With Learned Graph (2022) (24)
- Adaptive Local Linear Discriminant Analysis (2020) (23)
- Unsupervised and Semisupervised Projection With Graph Optimization (2020) (23)
- Feature selection under regularized orthogonal least square regression with optimal scaling (2018) (23)
- An investigation for loss functions widely used in machine learning (2018) (23)
- Learning Robust Locality Preserving Projection via p-Order Minimization (2015) (23)
- Adaptive graph weighting for multi-view dimensionality reduction (2019) (23)
- Globally and Locally Consistent Unsupervised Projection (2014) (23)
- Robust Discrete Matrix Completion (2013) (23)
- Semi-supervised feature selection based on label propagation and subset selection (2010) (23)
- Semisupervised Learning Using Negative Labels (2011) (23)
- Balanced k-Means and Min-Cut Clustering (2014) (23)
- Unsupervised Feature Analysis with Class Margin Optimization (2015) (22)
- Harmonic Mean Linear Discriminant Analysis (2019) (22)
- Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling (2017) (22)
- Robust and discriminative distance for Multi-Instance Learning (2012) (22)
- Consensus spectral clustering in near-linear time (2011) (22)
- Capped Lp-Norm Graph Embedding for Photo Clustering (2016) (22)
- Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image (2022) (22)
- Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection (2020) (22)
- Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction (2017) (21)
- Towards Robust Discriminative Projections Learning via Non-Greedy $\ell _{2, 1}$ℓ2, 1-Norm MinMax (2019) (21)
- Discrete Spectral Hashing for Efficient Similarity Retrieval (2019) (21)
- Robust feature selection via simultaneous sapped norm and sparse regularizer minimization (2018) (21)
- Self-weighted spectral clustering with parameter-free constraint (2017) (20)
- A Probabilistic Derivation of LASSO and L12-Norm Feature Selections (2019) (20)
- Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition (2012) (20)
- Discriminant Analysis via Joint Euler Transform and $\ell_{2,1}$ -Norm (2018) (20)
- Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection (2021) (20)
- Local Centroids Structured Non-Negative Matrix Factorization (2017) (20)
- Euler Label Consistent K-SVD for image classification and action recognition (2018) (19)
- On the schatten norm for matrix based subspace learning and classification (2016) (19)
- Local Regression and Global Information-Embedded Dimension Reduction (2018) (19)
- Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition (2018) (19)
- Interactive Image Segmentation With Multiple Linear Reconstructions in Windows (2011) (19)
- Convolutional 2D LDA for Nonlinear Dimensionality Reduction (2017) (19)
- Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph (2020) (19)
- Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data (2020) (19)
- Bilateral k-Means Algorithm for Fast Co-Clustering (2017) (18)
- A Multiview Learning Framework With a Linear Computational Cost (2018) (18)
- Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach (2012) (18)
- Contour graph based human tracking and action sequence recognition (2008) (17)
- Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization (2020) (17)
- Semi-Supervised Classifications via Elastic and Robust Embedding (2017) (17)
- Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery (2020) (17)
- Learning an Orthogonal and Smooth Subspace for Image Classification (2009) (17)
- Joint Principal Component and Discriminant Analysis for Dimensionality Reduction (2020) (17)
- Multi-View K-Means Clustering With Adaptive Sparse Memberships and Weight Allocation (2022) (17)
- Thinking of Images as What They Are: Compound Matrix Regression for Image Classification (2013) (17)
- Balanced Clustering via Exclusive Lasso: A Pragmatic Approach (2018) (17)
- Adaptive discriminant analysis for semi-supervised feature selection (2021) (16)
- A Local and Global Discriminative Framework and Optimization for Balanced Clustering (2019) (16)
- Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression (2017) (16)
- Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning (2017) (16)
- Semi-Supervised Multi-label Dimensionality Reduction (2016) (16)
- A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification (2016) (16)
- Learning a subspace for clustering via pattern shrinking (2013) (16)
- Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning (2019) (16)
- Enhanced Balanced Min Cut (2020) (15)
- A Unified Weight Learning Paradigm for Multi-view Learning (2019) (15)
- WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks (2020) (15)
- Self-weighted collaborative representation for hyperspectral anomaly detection (2020) (15)
- GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition (2022) (15)
- A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering (2017) (15)
- Self-Weighted Clustering With Adaptive Neighbors (2020) (14)
- Unsupervised automatic attribute discovery method via multi-graph clustering (2016) (14)
- Subspace Sparse Discriminative Feature Selection (2020) (14)
- Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease (2016) (14)
- Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering (2016) (14)
- Truncated Robust Principle Component Analysis With A General Optimization Framework (2020) (14)
- Non-Greedy L21-Norm Maximization for Principal Component Analysis (2016) (14)
- Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation (2021) (14)
- Fast Multi-view Discrete Clustering with Anchor Graphs (2021) (14)
- Learning Multi-instance Enriched Image Representations via Non-greedy Ratio Maximization of the l1-Norm Distances (2018) (14)
- Convex Multiview Semi-Supervised Classification (2017) (14)
- Multi-view Feature Learning with Discriminative Regularization (2017) (14)
- A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis (2013) (14)
- An improved locality preserving projection with ℓ1-norm minimization for dimensionality reduction (2018) (14)
- An efficient framework for unsupervised feature selection (2019) (13)
- A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection (2018) (13)
- Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition (2007) (13)
- Regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition (2010) (13)
- A Comprehensive Survey for Low Rank Regularization (2018) (13)
- Listen to the Image (2019) (13)
- Regularized Singular Value Decomposition and Application to Recommender System (2018) (13)
- Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning (2019) (13)
- Discriminative Vanishing Component Analysis (2016) (13)
- Fuzzy K-Means Clustering With Discriminative Embedding (2022) (12)
- A graph regularized dimension reduction method for out-of-sample data (2017) (12)
- Auto-weighted two-dimensional principal component analysis with robust outliers (2017) (12)
- Semi-supervised multi-Layer convolution kernel learning in credit evaluation (2021) (12)
- Fuzzy graph clustering (2021) (12)
- Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances (2019) (12)
- Local structured feature learning with dynamic maximum entropy graph (2021) (12)
- Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification (2018) (12)
- LABIN: Balanced Min Cut for Large-Scale Data (2020) (12)
- Flexible Shift-Invariant Locality and Globality Preserving Projections (2014) (12)
- Nuclear-norm based semi-supervised multiple labels learning (2018) (11)
- Flexible Orthogonal Neighborhood Preserving Embedding (2017) (11)
- Robust Subspace Clustering With Low-Rank Structure Constraint (2022) (11)
- Fast unsupervised feature selection with anchor graph and ℓ2,1-norm regularization (2018) (11)
- Nonlinear dimensionality reduction with relative distance comparison (2009) (11)
- Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines (2017) (11)
- Local PurTree Spectral Clustering for Massive Customer Transaction Data (2017) (11)
- Learning unsupervised node representation from multi-view network (2021) (11)
- Semisupervised Learning With Parameter-Free Similarity of Label and Side Information (2019) (11)
- Refined Spectral Clustering via Embedded Label Propagation (2017) (11)
- Structured Optimal Graph-Based Clustering With Flexible Embedding (2019) (10)
- Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model (2014) (10)
- Spline Embedding for Nonlinear Dimensionality Reduction (2006) (10)
- Flexible Multi-View Unsupervised Graph Embedding (2021) (10)
- A semi-supervised learning algorithm via adaptive Laplacian graph (2020) (10)
- Coordinate Descent Method for $k$k-means (2021) (10)
- A graph based multimodal geospatial interpolation framework (2016) (10)
- Semi-supervised Clustering via Pairwise Constrained Optimal Graph (2020) (10)
- Unsupervised Feature Selection With Constrained ℓ₂,₀-Norm and Optimized Graph (2020) (10)
- Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining (2021) (10)
- Multi-view clustering based on generalized low rank approximation (2020) (10)
- Large-Scale Robust Semisupervised Classification (2019) (10)
- Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement (2018) (10)
- Unsupervised Discriminative Projection for Feature Selection (2022) (9)
- Adaptive Local Embedding Learning for Semi-Supervised Dimensionality Reduction (2022) (9)
- Multi-View Clustering via Nonnegative and Orthogonal Graph Reconstruction (2021) (9)
- Progressive Self-Supervised Clustering With Novel Category Discovery (2021) (9)
- Supervised Dimensionality Reduction Methods via Recursive Regression (2020) (9)
- LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification (2018) (9)
- Co-Clustering Ensemble Based on Bilateral K-Means Algorithm (2020) (9)
- Efficient correntropy-based multi-view clustering with anchor graph embedding (2021) (9)
- Uncovering Locally Discriminative Structure for Feature Analysis (2016) (9)
- Locality Adaptive Discriminant Analysis Framework (2021) (9)
- Fast Multi-View Clustering via Prototype Graph (2021) (9)
- Revisiting Fast Spectral Clustering with Anchor Graph (2020) (9)
- Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method (2019) (9)
- Rank-$k$ 2-D Multinomial Logistic Regression for Matrix Data Classification (2018) (8)
- Multi-View Clustering Via Mixed Embedding Approximation (2020) (8)
- Improving projected fuzzy K-means clustering via robust learning (2022) (8)
- Unsupervised Large Graph Embedding Based on Balanced and Hierarchical K-Means (2020) (8)
- Semisupervised Band Selection With Graph Optimization for Hyperspectral Image Classification (2020) (8)
- Adaptive Neighborhood Metric Learning (2021) (8)
- Semisupervised Feature Selection via Structured Manifold Learning (2021) (8)
- Semi-supervised Orthogonal Graph Embedding with Recursive Projections (2017) (8)
- Deep Co-Clustering for Unsupervised Audiovisual Learning (2018) (8)
- Worst-Case Discriminative Feature Selection (2019) (8)
- C2DNDA: A Deep Framework for Nonlinear Dimensionality Reduction (2021) (8)
- A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization (2021) (8)
- Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut (2015) (8)
- Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions (2013) (8)
- Efficient multi-class unlabeled constrained semi-supervised SVM (2009) (8)
- Learning frame relevance for video classification (2011) (8)
- Self-weighted discriminative feature selection via adaptive redundancy minimization (2018) (7)
- Robust Principal Component Analysis Based on Discriminant Information (2021) (7)
- Speed Up Similarity Search of Time Series Under Dynamic Time Warping (2019) (7)
- Fast Self-Supervised Clustering With Anchor Graph (2021) (7)
- Contour Matching Based on Belief Propagation (2006) (7)
- Confidence Regularized Label Propagation Based Domain Adaptation (2022) (7)
- Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering (2021) (7)
- Linear Time Solver for Primal SVM (2014) (7)
- Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning (2006) (7)
- Capped $\ell _p$-Norm LDA for Outliers Robust Dimension Reduction (2020) (7)
- Discrete Multi-Graph Clustering (2019) (7)
- Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery (2017) (7)
- Fast Semi-Supervised Learning With Optimal Bipartite Graph (2021) (7)
- Learning Feature-Sparse Principal Subspace (2022) (7)
- Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning (2015) (7)
- Structured Graph Reconstruction for Scalable Clustering (2021) (6)
- Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction (2017) (6)
- Fast Optimization of Spectral Embedding and Improved Spectral Rotation (2021) (6)
- Extracting the Optimal Dimensionality for Discriminant Analysis (2007) (6)
- Semi-supervised Dimensionality Reduction via Harmonic Functions (2011) (6)
- Nuclear-norm based 2DLDA with application to face recognition (2019) (6)
- Self-weighting multi-view spectral clustering based on nuclear norm (2021) (6)
- Learning a subspace for face image clustering via trace ratio criterion (2009) (6)
- Robust and Efficient Linear Discriminant Analysis With L2,1-Norm for Feature Selection (2020) (6)
- Semi-supervised learning on large-scale geotagged photos for situation recognition (2017) (6)
- Efficient Clustering Based On A Unified View Of $K$-means And Ratio-cut (2020) (6)
- Graph regularized nonnegative matrix factorization with label discrimination for data clustering (2021) (6)
- Probabilistic Labeled Semi-supervised SVM (2009) (6)
- Multi-view clustering with interactive mechanism (2021) (6)
- Discrete and Parameter-Free Multiple Kernel k-Means (2022) (6)
- Embedded clustering via robust orthogonal least square discriminant analysis (2017) (6)
- Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression (2021) (6)
- A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System (2020) (6)
- Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection (2021) (5)
- Scalable and Flexible Unsupervised Feature Selection (2019) (5)
- Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors (2021) (5)
- Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers (2020) (5)
- Entropy regularization for unsupervised clustering with adaptive neighbors (2022) (5)
- Efficient and Robust MultiView Clustering With Anchor Graph Regularization (2022) (5)
- Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation (2018) (5)
- Adaptive Neighborhood MinMax Projections (2018) (5)
- Large-Scale Spectral Clustering Based on Representative Points (2019) (5)
- Unsupervised Feature Selection with Local Structure Learning (2018) (5)
- Regularized Class-Specific Subspace Classifier (2017) (5)
- Self-Weighted Adaptive Locality Discriminant Analysis (2018) (5)
- Unsupervised Feature Selection Based on Reconstruction Error Minimization (2019) (5)
- Speed up dynamic time warpingof multivariate time series (2019) (5)
- A General Framework for Dimensionality Reduction of K-Means Clustering (2019) (5)
- Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance (2019) (5)
- Semi-Supervised Additive Logistic Regression: A Gradient Descent Solution (2007) (5)
- A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges (2022) (5)
- An Effective and Efficient Algorithm for K-Means Clustering With New Formulation (2023) (5)
- Modified fuzzy clustering with segregated cluster centroids (2019) (5)
- Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank (2021) (5)
- Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization (2019) (5)
- Unsupervised Adaptive Embedding for Dimensionality Reduction (2021) (5)
- A Flexible and Effective Linearization Method for Subspace Learning (2013) (5)
- Generalization bottleneck in deep metric learning (2021) (5)
- Interactive Visual Object Extraction Based on Belief Propagation (2007) (4)
- Adaptive-order proximity learning for graph-based clustering (2022) (4)
- Fast adaptive neighbors clustering via embedded clustering (2020) (4)
- Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information (2018) (4)
- Matrix completion and vector completion via robust subspace learning (2018) (4)
- Fast Locality Discriminant Analysis With Adaptive Manifold Embedding (2022) (4)
- Unsupervised feature extraction using a learned graph with clustering structure (2016) (4)
- Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors (2023) (4)
- Learning high-dimensional correspondence via manifold learning and local approximation (2014) (4)
- ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization. (2022) (4)
- A forest of trees with principal direction specified oblique split on random subspace (2020) (4)
- Fast Fuzzy Clustering Based on Anchor Graph (2021) (4)
- Discrete Multiple Kernel k-means (2021) (4)
- Towards Robust Discriminative Projections Learning via Non-Greedy <inline-formula><tex-math notation="LaTeX">$\ell _{2,1}$</tex-math><alternatives><mml:math><mml:msub><mml:mi>ℓ</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mo>,</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:math><inline-graphic xl (2021) (4)
- Semi-supervised classification via both label and side information (2017) (4)
- OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition (2022) (4)
- Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization (2014) (4)
- Fast local representation learning via adaptive anchor graph for image retrieval (2021) (4)
- A study of deep learning methods for same-genre and cross-genre author profiling (2020) (4)
- Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes (2012) (4)
- Multiclass discriminant analysis via adaptive weighted scheme (2020) (4)
- Implicit Weight Learning for Multi-View Clustering. (2021) (4)
- Fast Unsupervised Projection for Large-Scale Data (2021) (4)
- Improved Spectral Clustering via Embedded Label Propagation (2014) (4)
- Author profiling on bi-lingual tweets (2020) (4)
- Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning (2022) (3)
- Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation (2019) (3)
- Learning high-dimensional correspondence via manifold learning and local approximation (2013) (3)
- Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification (2020) (3)
- Joint Structured Graph Learning and Clustering Based on Concept Factorization (2019) (3)
- Projected fuzzy C-means with probabilistic neighbors (2022) (3)
- Joint Feature Selection and Extraction With Sparse Unsupervised Projection. (2021) (3)
- Joint Identification of Network Hub Nodes by Multivariate Graph Inference (2019) (3)
- Projected clustering via robust orthogonal least square regression with optimal scaling (2017) (3)
- Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery (2021) (3)
- Fair and cache blocking aware warp scheduling for concurrent kernel execution on GPU (2020) (3)
- Dimension reduction of multimodal data by auto-weighted local discriminant analysis (2021) (3)
- New Tight Relaxations of Rank Minimization for Multi-Task Learning (2021) (3)
- Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction. (2021) (3)
- Multi-view embedded clustering with unsupervised trace ratio LDA (2018) (3)
- An Efficient Density-based clustering algorithm for face groping (2021) (3)
- Adaptive Flexible Optimal Graph for Unsupervised Dimensionality Reduction (2021) (3)
- Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion (2013) (3)
- Auto-weighted 2-dimensional maximum margin criterion (2018) (3)
- Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms (2019) (3)
- Fast Multiview Clustering With Spectral Embedding (2022) (3)
- A Novel Formulation of Trace Ratio Linear Discriminant Analysis (2021) (3)
- Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection. (2022) (2)
- Sparse PCA via $l_{2, p}$-Norm Regularization for Unsupervised Feature Selection (2020) (2)
- Fast algorithm for large-scale subspace clustering by LRR (2020) (2)
- An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection (2022) (2)
- From Photo Streams to Evolving Situations (2017) (2)
- Fast and Flexible Large Graph Embedding Based on Anchors (2018) (2)
- Auto-weighted orthogonal and nonnegative graph reconstruction for multi-view clustering (2023) (2)
- Agglomerative Neural Networks for Multiview Clustering (2020) (2)
- Deep linear discriminant analysis hashing (2021) (2)
- Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means (2018) (2)
- Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation (2022) (2)
- Global Redundancy Minimization for Feature Ranking (2015) (2)
- Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity (2019) (2)
- Unsupervised Feature Selection With Flexible Optimal Graph. (2022) (2)
- Unsupervised Subspace Learning With Flexible Neighboring (2021) (2)
- Semi-supervised learning based on intra-view heterogeneity and inter-view compatibility for image classification (2022) (2)
- Joint Structured Graph Learning and Unsupervised Feature Selection (2019) (2)
- Fast unsupervised embedding learning with anchor-based graph (2022) (2)
- Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning (2021) (2)
- An attention-based framework for multi-view clustering on Grassmann manifold (2022) (2)
- Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations (2009) (2)
- Learning Feature Sparse Principal Components (2019) (2)
- A Survey of GPU Multitasking Methods Supported by Hardware Architecture (2022) (2)
- Robust Multiple Rank- $k$ Bilinear Projections for Unsupervised Learning (2019) (2)
- Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity (2020) (2)
- Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean (2022) (2)
- Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals (2022) (2)
- Multi-View Clustering Based on Invisible Weights (2021) (2)
- Semi-Supervised Feature Selection with Adaptive Discriminant Analysis (2019) (2)
- Ranking with Adaptive Neighbors (2017) (2)
- Flexible multi-view semi-supervised learning with unified graph (2021) (2)
- Discrete Robust Principal Component Analysis via Binary Weights Self-Learning. (2022) (2)
- Iteratively Reweighted Algorithm for Fuzzy $c$-Means (2022) (2)
- Dependence-Guided Multi-View Clustering (2021) (2)
- Matrix completion with column outliers and sparse noise (2021) (2)
- Scalable Fuzzy Clustering With Anchor Graph (2022) (2)
- Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection. (2022) (2)
- S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition (2022) (2)
- Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization. (2021) (2)
- Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification (2018) (2)
- Fast Unsupervised Feature Selection With Bipartite Graph and $\ell _{2,0}$ℓ2,0-Norm Constraint (2023) (1)
- Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers (2015) (1)
- Structured graph optimization for joint spectral embedding and clustering (2022) (1)
- Changshui Zhang. Extracting the Optimal Dimensionality for Discriminant Analysis (2007) (1)
- Deep LDA Hashing (2018) (1)
- Digital twin key technology on rare earth process (2022) (1)
- Self-weighted learning framework for adaptive locality discriminant analysis (2022) (1)
- NP-PROV: Neural Processes with Position-Relevant-Only Variances (2020) (1)
- When multi-view classification meets ensemble learning (2022) (1)
- Double-Attentive Principle Component Analysis (2020) (1)
- Generalized and Robust Least Squares Regression. (2022) (1)
- Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers (2020) (1)
- Largest center-specific margin for dimension reduction (2017) (1)
- Joint nonlinear feature selection and continuous values regression network (2021) (1)
- Multi-view clustering with adaptive procrustes on Grassmann manifold (2022) (1)
- Fast Iterative Normalized Cut (2019) (1)
- Fuzzy Sparse Deviation Regularized Robust Principal Component Analysis (2022) (1)
- Improved deep metric learning with local neighborhood component analysis (2022) (1)
- Unsupervised maximum margin feature selection via L2,1-norm minimization (2012) (1)
- Two dimensional Large Margin Nearest Neighbor for Matrix Classification (2017) (1)
- Nonlinear Feature Selection Neural Network via Structured Sparse Regularization. (2022) (1)
- Robust Matrix Completion With Column Outliers (2021) (1)
- Unified dual-label semi-supervised learning with top-k feature selection (2022) (1)
- Sparse and Flexible Projections for Unsupervised Feature Selection (2023) (1)
- A generalized power iteration method for solving quadratic problem on the Stiefel manifold (2017) (1)
- Unsupervised Optimized Bipartite Graph Embedding (2021) (1)
- Reference-free low-light image enhancement by associating hierarchical wavelet representations (2022) (1)
- Adaptive Maximum Entropy Graph-Guided Fast Locality Discriminant Analysis. (2021) (1)
- Directly solving normalized cut for multi-view data (2022) (1)
- Ratio Sum Versus Sum Ratio for Linear Discriminant Analysis (2021) (1)
- Fast Manifold Ranking With Local Bipartite Graph (2021) (1)
- Coordinate Descent Method for <inline-formula><tex-math notation="LaTeX">$k$</tex-math><alternatives><mml:math><mml:mi>k</mml:mi></mml:math><inline-graphic xlink:href="xue-ieq1-3085739.gif"/></alternatives></inline-formula>-means (2022) (1)
- Adaptive Feature Weight Learning For Robust Clustering Problem with Sparse Constraint (2021) (1)
- Efficient Multi-view K-means Clustering with Multiple Anchor Graphs (2022) (1)
- Fast clustering based on bipartite graph (2019) (1)
- Locality-Based Discriminant Feature Selection with Trace Ratio (2018) (1)
- Fast Local Representation Learning with Adaptive Anchor Graph (2021) (1)
- Ratio sum formula for dimensionality reduction (2020) (1)
- A Differentiable Perspective for Multi-View Spectral Clustering With Flexible Extension (2022) (1)
- EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion (2022) (1)
- Unsupervised Deep Hashing with Structured Similarity Learning (2020) (1)
- Heterogeneous Scene Analysis via Self-supervised Audiovisual Learning (2020) (1)
- A novel method for optimizing spectral rotation embedding K-means with coordinate descent (2022) (1)
- Iteratively Re-Weighted method for Sparsity-Inducing Norms (2022) (0)
- Directly Solving the Original Ratiocut Problem for Effective Data Clustering (2018) (0)
- Max-Min Robust Principal Component Analysis (2022) (0)
- Self-Paced and Discrete Multiple Kernel k-Means (2022) (0)
- Capped ℓp-norm linear discriminant analysis for robust projections learning (2022) (0)
- Fast spectral clustering with self-adapted bipartite graph learning (2023) (0)
- Effective Clustering via Structured Graph Learning (2022) (0)
- Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations (2021) (0)
- An Effective Clustering Optimization Method for Unsupervised Linear Discriminant Analysis (2023) (0)
- Multi-View Semi-Supervised Learning with Adaptive Graph Fusion (2022) (0)
- Sparse feature selection via fast embedding spectral analysis (2023) (0)
- Enhanced Balanced Min Cut (2020) (0)
- Cauchy balanced nonnegative matrix factorization (2023) (0)
- Exemplar-Based Human Contour Tracking (2006) (0)
- Fast Clustering via Maximizing Adaptively Within-Class Similarity. (2023) (0)
- Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint (2023) (0)
- Tran-Switch: A transfer learning approach for sentence level cross-genre author profiling on code-switched English–RomanUrdu Text (2023) (0)
- Sparse Trace Ratio LDA for Supervised Feature Selection. (2023) (0)
- Balanced Graph Cut With Exponential Inter-Cluster Compactness (2022) (0)
- Feature selection with multi-class logistic regression (2023) (0)
- On the optimal solution to maximum margin projection pursuit (2020) (0)
- Fast unsupervised feature selection with anchor graph and ℓ2,1-norm regularization (2018) (0)
- Efficient random subspace decision forests with a simple probability dimensionality setting scheme (2023) (0)
- A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization (2022) (0)
- A Resource-Efficient Parallel Connected Component Labeling Algorithm and Its Hardware Implementation (2021) (0)
- Multi-Directional Multi-Label Learning (2021) (0)
- Fast semi-supervised self-training algorithm based on data editing (2023) (0)
- Harnessing Lab Knowledge for Real-World Action Recognition (2014) (0)
- Calibrated multi-task subspace learning via binary group structure constraint (2023) (0)
- Multi-Task Learning Via Sharing Inexact Low-Rank Subspace (2021) (0)
- Selection via Scaling Factor Integrated Multi-Class Support Vector Machines (2017) (0)
- 3D Human Pose Recovery from Monocular Images via Effi cient Visual Feature Selection (2011) (0)
- On the Equivalence of Linear Discriminant Analysis and Least Squares Regression. (2022) (0)
- Centerless Clustering (2022) (0)
- Multi-view unsupervised dimensionality reduction with probabilistic neighbors (2022) (0)
- Fast Adaptive Local Subspace Learning With Regressive Regularization (2022) (0)
- Capped <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si367.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>-norm Linear Discriminant Analysis for Robust Projections Learning (2022) (0)
- FGC_SS: Fast Graph Clustering Method by Joint Spectral Embedding and Improved Spectral Rotation (2022) (0)
- Elaborate multi-task subspace learning with discrete group constraint (2023) (0)
- An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms (2019) (0)
- Dns Tunneling Detection with New Patterns Emerging: A Forest-Based Classifier with an Unknown Option (2022) (0)
- Robust Supervised and Semisupervised Least Squares Regression Using ℓ [Formula: see text] -Norm Minimization. (2022) (0)
- Fast Multiview Clustering by Optimal Graph Mining. (2023) (0)
- GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data (2021) (0)
- Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering (2022) (0)
- Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework (2022) (0)
- Learning to hash based on angularly discriminative embedding (2021) (0)
- Rank-$r$ Discrete Matrix Factorization for Anchor Graph Clustering (2022) (0)
- Intrinsic Weight Learning Approach for Multi-view Clustering (2019) (0)
- Fuzzy C-Multiple-Means Clustering for Hyperspectral Image (2023) (0)
- Graph optimization for unsupervised dimensionality reduction with probabilistic neighbors (2022) (0)
- Longitudinal Enrichment of Imaging Biomarker Representations for Improved Alzheimer's Disease Diagnosis (2019) (0)
- Semi-supervised Uncorrelated Feature Selection (2019) (0)
- A general soft-balanced clustering framework based on a novel balance regularizer (2022) (0)
- Joint Schatten p\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p$$\end{document}-norm and ℓp\documentclass[12pt]{mini (2013) (0)
- Multi-View K-Means with Laplacian Embedding (2023) (0)
- Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction (2023) (0)
- Intermediary-guided Bidirectional Spatial-Temporal Aggregation Network for Video-based Visible-Infrared Person Re-Identification (2023) (0)
- Unsupervised Adaptive Bipartite Graph Embedding (2023) (0)
- A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition (2020) (0)
- On the Global Solution of Soft k-Means (2022) (0)
- Learning Task Relational Structure for Multi-task Feature Learning (2016) (0)
- Fast neighborhood reconstruction with adaptive weights learning (2022) (0)
- Two-Dimensional Embedded Fuzzy Data Clustering (2022) (0)
- Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint (2020) (0)
- Joint Adaptive Graph Learning and Discriminative Analysis for Unsupervised Feature Selection (2021) (0)
- Robust Principal Component Analysis via Joint Reconstruction and Projection. (2022) (0)
- Local Embedding Learning via Landmark-Based Dynamic Connections. (2022) (0)
- A Rank-Constrained Clustering Algorithm with Adaptive Embedding (2021) (0)
- JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization (2023) (0)
- Robust weighted co-clustering with global and local discrimination (2023) (0)
- $\ell _{2,p}$-Norm and Mahalanobis Distance Based Robust Fuzzy C-Means (2023) (0)
- Fast Clustering by Directly Solving Bipartite Graph Clustering Problem. (2022) (0)
- Discriminative Projected Clustering via Unsupervised LDA. (2022) (0)
- Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving. (2023) (0)
- Sparse robust subspace learning via boolean weight (2023) (0)
- Fast Sparse Discriminative K-Means for Unsupervised Feature Selection. (2023) (0)
- Local Shrunk Discriminant Analysis (LSDA) (2017) (0)
- Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means (2023) (0)
- Robust Low Rank Approxiamtion via Inliers Selection (2018) (0)
- Fast orthogonal locality-preserving projections for unsupervised feature selection (2023) (0)
- Cheng Deng Scalable and Flexible Unsupervised Feature Selection (2018) (0)
- On the optimal solution to maximum margin projection pursuit (2019) (0)
- Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data (2022) (0)
- Subspace clustering by directly solving Discriminative K-means (2022) (0)
- EasyChair Preprint No 1550 Fast Iterative Normalized Cut (0)
- Projective Unsupervised Flexible Embedding with Optimal Graph (2016) (0)
- Anchor-Graph Regularized Orthogonal Concept Factorization for Document Clustering (2023) (0)
- Robust anchor-based multi-view clustering via spectral embedded concept factorization (2023) (0)
- Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering. (2022) (0)
- Ratio sum formula for dimensionality reduction (2020) (0)
- Sparsity Fuzzy C-Means Clustering with Principal Component Analysis Embedding (2022) (0)
- A portable clustering algorithm based on compact neighbors for face tagging (2022) (0)
- Scalable Multiple Kernel k-means Clustering (2022) (0)
- L G ] 23 N ov 2 01 4 Improved Spectral Clustering via Embedded Label Propagation (2017) (0)
- Compactness Score: A Fast Filter Method for Unsupervised Feature Selection (2022) (0)
- Guest editors' introduction: Perception, Aesthetics, and Emotion in Multimedia Quality Modeling (2016) (0)
- Self-supervised Learning for Heterogeneous Audiovisual Scene Analysis (2022) (0)
- Graph Based Soft-Balanced Fuzzy Clustering (2022) (0)
- FINC: An Efficient and Effective Optimization Method for Normalized Cut (2022) (0)
- Joint EEG Feature Transfer and Semi-supervised Cross-subject Emotion Recognition (2022) (0)
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