Feiping Nie

According to our database1, Feiping Nie authored at least 430 papers between 2006 and 2021.

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Bibliography

2021
Weighted bilateral <i>K</i>-means algorithm for fast co-clustering and fast spectral clustering.
Pattern Recognit., 2021

2020
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Joint Principal Component and Discriminant Analysis for Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity.
IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2020

Structured Optimal Graph-Based Clustering With Flexible Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2020

Self-Weighted Clustering With Adaptive Neighbors.
IEEE Trans. Neural Networks Learn. Syst., 2020

Supervised Dimensionality Reduction Methods via Recursive Regression.
IEEE Trans. Neural Networks Learn. Syst., 2020

Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

LABIN: Balanced Min Cut for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst., 2020

WeGAN: Deep Image Hashing With Weighted Generative Adversarial Networks.
IEEE Trans. Multim., 2020

Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking.
IEEE Trans. Multim., 2020

Multi-View Scaling Support Vector Machines for Classification and Feature Selection.
IEEE Trans. Knowl. Data Eng., 2020

Parameter-Free Weighted Multi-View Projected Clustering with Structured Graph Learning.
IEEE Trans. Knowl. Data Eng., 2020

Semi-Supervised Learning with Auto-Weighting Feature and Adaptive Graph.
IEEE Trans. Knowl. Data Eng., 2020

Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression.
IEEE Trans. Knowl. Data Eng., 2020

Adaptive Local Linear Discriminant Analysis.
ACM Trans. Knowl. Discov. Data, 2020

Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning.
IEEE Trans. Image Process., 2020

Multiple Features and Isolation Forest-Based Fast Anomaly Detector for Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2020

Spectral Clustering by Joint Spectral Embedding and Spectral Rotation.
IEEE Trans. Cybern., 2020

Submanifold-Preserving Discriminant Analysis With an Auto-Optimized Graph.
IEEE Trans. Cybern., 2020

A Memory-Efficient Hardware Architecture for Connected Component Labeling in Embedded System.
IEEE Trans. Circuits Syst. Video Technol., 2020

Optimal Projection Guided Transfer Hashing for Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2020

Capped ℓ<sub>p</sub>-Norm LDA for Outliers Robust Dimension Reduction.
IEEE Signal Process. Lett., 2020

Self-weighted collaborative representation for hyperspectral anomaly detection.
Signal Process., 2020

Fast spectral clustering learning with hierarchical bipartite graph for large-scale data.
Pattern Recognit. Lett., 2020

A linear multivariate binary decision tree classifier based on K-means splitting.
Pattern Recognit., 2020

Auto-weighted multi-view co-clustering via fast matrix factorization.
Pattern Recognit., 2020

Detecting Coherent Groups in Crowd Scenes by Multiview Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Author profiling on bi-lingual tweets.
J. Intell. Fuzzy Syst., 2020

A study of deep learning methods for same-genre and cross-genre author profiling.
J. Intell. Fuzzy Syst., 2020

Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding.
Inf. Fusion, 2020

Multiclass discriminant analysis via adaptive weighted scheme.
Neurocomputing, 2020

A forest of trees with principal direction specified oblique split on random subspace.
Neurocomputing, 2020

Auto-weighted multi-view clustering via spectral embedding.
Neurocomputing, 2020

Decision Tree SVM: An extension of linear SVM for non-linear classification.
Neurocomputing, 2020

Fast adaptive neighbors clustering via embedded clustering.
Neurocomputing, 2020

Multi-view spectral clustering via sparse graph learning.
Neurocomputing, 2020

Enhanced Balanced Min Cut.
Int. J. Comput. Vis., 2020

Fast algorithm for large-scale subspace clustering by LRR.
IET Image Process., 2020

Fair and cache blocking aware warp scheduling for concurrent kernel execution on GPU.
Future Gener. Comput. Syst., 2020

Self-Weighted Robust LDA for Multiclass Classification with Edge Classes.
CoRR, 2020

NP-PROV: Neural Processes with Position-Relevant-Only Variances.
CoRR, 2020

Agglomerative Neural Networks for Multi-view Clustering.
CoRR, 2020

Curriculum Audiovisual Learning.
CoRR, 2020

Co-Clustering Ensemble Based on Bilateral K-Means Algorithm.
IEEE Access, 2020

Robust and Efficient Linear Discriminant Analysis With L<sub>2, 1</sub>-Norm for Feature Selection.
IEEE Access, 2020

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Semi-supervised Clustering via Pairwise Constrained Optimal Graph.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multi-View Clustering Via Mixed Embedding Approximation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Revisiting Fast Spectral Clustering with Anchor Graph.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fast Clustering With Co-Clustering Via Discrete Non-Negative Matrix Factorization for Image Identification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Clustering by Unified Principal Component Analysis and Fuzzy C-Means with Sparsity Constraint.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Unsupervised Deep Hashing with Structured Similarity Learning.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Unsupervised Feature Selection via Adaptive Multimeasure Fusion.
IEEE Trans. Neural Networks Learn. Syst., 2019

Semisupervised Learning With Parameter-Free Similarity of Label and Side Information.
IEEE Trans. Neural Networks Learn. Syst., 2019

Hierarchical Feature Selection for Random Projection.
IEEE Trans. Neural Networks Learn. Syst., 2019

Spectral Embedded Adaptive Neighbors Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2019

Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2019

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Local and Global Discriminative Framework and Optimization for Balanced Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2019

Exploiting Combination Effect for Unsupervised Feature Selection by ℓ<sub>2, 0</sub> Norm.
IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Binary Reconstruction for Cross-Modal Hashing.
IEEE Trans. Multim., 2019

Harmonic Mean Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2019

A New Formulation of Linear Discriminant Analysis for Robust Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng., 2019

Graph Structure Fusion for Multiview Clustering.
IEEE Trans. Knowl. Data Eng., 2019

Efficient Feature Selection via $\ell _{2, 0}$ℓ2, 0-norm Constrained Sparse Regression.
IEEE Trans. Knowl. Data Eng., 2019

Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information.
IEEE Trans. Image Process., 2019

Multiview Consensus Graph Clustering.
IEEE Trans. Image Process., 2019

Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning.
IEEE Trans. Image Process., 2019

A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization.
IEEE Trans. Image Process., 2019

Matrix Completion Based on Non-Convex Low-Rank Approximation.
IEEE Trans. Image Process., 2019

Discrete Multi-Graph Clustering.
IEEE Trans. Image Process., 2019

Discrete Spectral Hashing for Efficient Similarity Retrieval.
IEEE Trans. Image Process., 2019

Scalable Graph-Based Clustering With Nonnegative Relaxation for Large Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2019

Large-Scale Robust Semisupervised Classification.
IEEE Trans. Cybern., 2019

Dimension Reduction for Non-Gaussian Data by Adaptive Discriminative Analysis.
IEEE Trans. Cybern., 2019

Accelerating Flexible Manifold Embedding for Scalable Semi-Supervised Learning.
IEEE Trans. Circuits Syst. Video Technol., 2019

Adaptive graph weighting for multi-view dimensionality reduction.
Signal Process., 2019

Adaptive-weighting discriminative regression for multi-view classification.
Pattern Recognit., 2019

Flexible unsupervised feature extraction for image classification.
Neural Networks, 2019

Scalable and Flexible Unsupervised Feature Selection.
Neural Comput., 2019

Speed up dynamic time warpingof multivariate time series.
J. Intell. Fuzzy Syst., 2019

Feature selection with multi-view data: A survey.
Inf. Fusion, 2019

An efficient framework for unsupervised feature selection.
Neurocomputing, 2019

Nuclear-norm based 2DLDA with application to face recognition.
Neurocomputing, 2019

Modified fuzzy clustering with segregated cluster centroids.
Neurocomputing, 2019

Supervised feature selection with orthogonal regression and feature weighting.
CoRR, 2019

Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity.
CoRR, 2019

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms.
CoRR, 2019

Robust Linear Discriminant Analysis Using Ratio Minimization of L1, 2-Norms.
CoRR, 2019

Intrinsic Weight Learning Approach for Multi-view Clustering.
CoRR, 2019

Learning Feature Sparse Principal Components.
CoRR, 2019

Speed Up Similarity Search of Time Series Under Dynamic Time Warping.
IEEE Access, 2019

Feature Learning Viewpoint of Adaboost and a New Algorithm.
IEEE Access, 2019

Joint Identification of Network Hub Nodes by Multivariate Graph Inference.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Worst-Case Discriminative Feature Selection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Unsupervised Feature Selection Based on Reconstruction Error Minimization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Structured Graph Learning and Unsupervised Feature Selection.
Proceedings of the IEEE International Conference on Acoustics, 2019

Joint Structured Graph Learning and Clustering Based on Concept Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Dense Multimodal Fusion for Hierarchically Joint Representation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Multimodal Clustering for Unsupervised Audiovisual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Listen to the Image.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Unified Weight Learning Paradigm for Multi-view Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Semi-Supervised Feature Selection with Adaptive Discriminant Analysis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Probabilistic Derivation of LASSO and L12-Norm Feature Selections.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Self-Weighted Supervised Discriminative Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2018

Local Regression and Global Information-Embedded Dimension Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2018

Rank-k 2-D Multinomial Logistic Regression for Matrix Data Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive Unsupervised Feature Selection With Structure Regularization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features.
IEEE Trans. Neural Networks Learn. Syst., 2018

Rank-Constrained Spectral Clustering With Flexible Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2018

Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data.
IEEE Trans. Neural Networks Learn. Syst., 2018

Unsupervised Salient Object Detection via Inferring From Imperfect Saliency Models.
IEEE Trans. Multim., 2018

Semi-Supervised Feature Selection via Insensitive Sparse Regression with Application to Video Semantic Recognition.
IEEE Trans. Knowl. Data Eng., 2018

PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data.
IEEE Trans. Knowl. Data Eng., 2018

Flexible Manifold Learning With Optimal Graph for Image and Video Representation.
IEEE Trans. Image Process., 2018

ℓ<sub>2, p</sub> -Norm Based PCA for Image Recognition.
IEEE Trans. Image Process., 2018

Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification.
IEEE Trans. Image Process., 2018

Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery.
IEEE Trans. Image Process., 2018

Discriminant Analysis via Joint Euler Transform and ℓ<sub>2, 1</sub>-Norm.
IEEE Trans. Image Process., 2018

Robust Object Co-Segmentation Using Background Prior.
IEEE Trans. Image Process., 2018

LRAGE: Learning Latent Relationships With Adaptive Graph Embedding for Aerial Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2018

A Multiview Learning Framework With a Linear Computational Cost.
IEEE Trans. Cybern., 2018

Angle 2DPCA: A New Formulation for 2DPCA.
IEEE Trans. Cybern., 2018

Auto-weighted 2-dimensional maximum margin criterion.
Pattern Recognit., 2018

SVM based multi-label learning with missing labels for image annotation.
Pattern Recognit., 2018

Fast unsupervised feature selection with anchor graph and ℓ 2, 1-norm regularization.
Multim. Tools Appl., 2018

Fast and Flexible Large Graph Embedding Based on Anchors.
IEEE J. Sel. Top. Signal Process., 2018

Spectral clustering based on iterative optimization for large-scale and high-dimensional data.
Neurocomputing, 2018

Adaptive Neighborhood MinMax Projections.
Neurocomputing, 2018

Feature selection under regularized orthogonal least square regression with optimal scaling.
Neurocomputing, 2018

An improved locality preserving projection with ℓ<sub>1</sub>-norm minimization for dimensionality reduction.
Neurocomputing, 2018

Multi-view embedded clustering with unsupervised trace ratio LDA.
Neurocomputing, 2018

Self-weighted discriminative feature selection via adaptive redundancy minimization.
Neurocomputing, 2018

Efficient tree classifiers for large scale datasets.
Neurocomputing, 2018

Euler Label Consistent K-SVD for image classification and action recognition.
Neurocomputing, 2018

Robust principal component analysis via optimal mean by joint ℓ<sub>2, 1</sub> and Schatten <i>p</i>-norms minimization.
Neurocomputing, 2018

Nuclear-norm based semi-supervised multiple labels learning.
Neurocomputing, 2018

Matrix completion and vector completion via robust subspace learning.
Neurocomputing, 2018

Robust feature selection via simultaneous sapped norm and sparse regularizer minimization.
Neurocomputing, 2018

Dense Multimodal Fusion for Hierarchically Joint Representation.
CoRR, 2018

Deep LDA Hashing.
CoRR, 2018

A Comprehensive Survey for Low Rank Regularization.
CoRR, 2018

Deep Co-Clustering for Unsupervised Audiovisual Learning.
CoRR, 2018

Regularized Singular Value Decomposition and Application to Recommender System.
CoRR, 2018

Ranking with Adaptive Neighbors.
CoRR, 2018

Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification".
Complex., 2018

Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification.
Complex., 2018

An investigation for loss functions widely used in machine learning.
Commun. Inf. Syst., 2018

Multiview Clustering via Adaptively Weighted Procrustes.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Calibrated Multi-Task Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Unsupervised Feature Selection with Local Structure Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Robust Low Rank Approxiamtion via Inliers Selection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Locality-Based Discriminant Feature Selection with Trace Ratio.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Self-Weighted Adaptive Locality Discriminant Analysis.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Feature Selection via Incorporating Stiefel Manifold in Relaxed K-Means.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Directly Solving the Original Ratiocut Problem for Effective Data Clustering.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

New l<sub>2, 1</sub>-Norm Relaxation of Multi-Way Graph Cut for Clustering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Balanced Clustering via Exclusive Lasso: A Pragmatic Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Regularized Class-Specific Subspace Classifier.
IEEE Trans. Neural Networks Learn. Syst., 2017

Unsupervised Single and Multiple Views Feature Extraction with Structured Graph.
IEEE Trans. Knowl. Data Eng., 2017

Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2017

Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight.
IEEE Trans. Knowl. Data Eng., 2017

Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering.
IEEE Trans. Image Process., 2017

Re-Weighted Discriminatively Embedded K-Means for Multi-View Clustering.
IEEE Trans. Image Process., 2017

Fast and Orthogonal Locality Preserving Projections for Dimensionality Reduction.
IEEE Trans. Image Process., 2017

Scalable Multi-View Semi-Supervised Classification via Adaptive Regression.
IEEE Trans. Image Process., 2017

Convex Multiview Semi-Supervised Classification.
IEEE Trans. Image Process., 2017

A Non-Greedy Algorithm for L1-Norm LDA.
IEEE Trans. Image Process., 2017

2D Feature Selection by Sparse Matrix Regression.
IEEE Trans. Image Process., 2017

Optimal mean two-dimensional principal component analysis with F-norm minimization.
Pattern Recognit., 2017

Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning.
Neural Comput., 2017

Avoiding Optimal Mean ℓ<sub>2, 1</sub>-Norm Maximization-Based Robust PCA for Reconstruction.
Neural Comput., 2017

A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering.
Neural Comput., 2017

Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery.
Neural Comput., 2017

Refined Spectral Clustering via Embedded Label Propagation.
Neural Comput., 2017

Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.
Medical Image Anal., 2017

Fast Spectral Clustering With Anchor Graph for Large Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2017

Semi-supervised learning on large-scale geotagged photos for situation recognition.
J. Vis. Commun. Image Represent., 2017

Self-weighted spectral clustering with parameter-free constraint.
Neurocomputing, 2017

A graph regularized dimension reduction method for out-of-sample data.
Neurocomputing, 2017

Local PurTree Spectral Clustering for Massive Customer Transaction Data.
IEEE Intell. Syst., 2017

From Photo Streams to Evolving Situations.
CoRR, 2017

Local Shrunk Discriminant Analysis (LSDA).
CoRR, 2017

A generalized power iteration method for solving quadratic problem on the Stiefel manifold.
Sci. China Inf. Sci., 2017

Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data.
Comput. Graph. Forum, 2017

Learning A Structured Optimal Bipartite Graph for Co-Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Projected clustering via robust orthogonal least square regression with optimal scaling.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Class Support Vector Machine via Maximizing Multi-Class Margins.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-view Feature Learning with Discriminative Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Convolutional 2D LDA for Nonlinear Dimensionality Reduction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Angle Principal Component Analysis.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Two dimensional Large Margin Nearest Neighbor for Matrix Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Flexible Orthogonal Neighborhood Preserving Embedding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Self-weighted Multiview Clustering with Multiple Graphs.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Joint Capped Norms Minimization for Robust Matrix Recovery.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Orthogonal Graph Embedding with Recursive Projections.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Locality Adaptive Discriminant Analysis.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-supervised Feature Selection via Rescaled Linear Regression.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scalable Normalized Cut with Improved Spectral Rotation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Self-Balanced Min-Cut Algorithm for Image Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Fast Spectral Clustering with efficient large graph construction.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Largest center-specific margin for dimension reduction.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Auto-weighted two-dimensional principal component analysis with robust outliers.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Semi-supervised classification via both label and side information.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Embedded clustering via robust orthogonal least square discriminant analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multi-View Correlated Feature Learning by Uncovering Shared Component.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Unsupervised Large Graph Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multiclass Capped ℓp-Norm SVM for Robust Classifications.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Balanced Clustering with Least Square Regression.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Semi-Supervised Classifications via Elastic and Robust Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Large Graph Hashing with Spectral Rotation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A Multiview-Based Parameter Free Framework for Group Detection.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Bilateral k-Means Algorithm for Fast Co-Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Local Centroids Structured Non-Negative Matrix Factorization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Effective Discriminative Feature Selection With Nontrivial Solution.
IEEE Trans. Neural Networks Learn. Syst., 2016

Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2016

Compound Rank-k Projections for Bilinear Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2016

Image Classification by Cross-Media Active Learning With Privileged Information.
IEEE Trans. Multim., 2016

Convex Sparse PCA for Unsupervised Feature Learning.
ACM Trans. Knowl. Discov. Data, 2016

Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation.
IEEE Trans. Image Process., 2016

Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Orthogonal least squares regression for feature extraction.
Neurocomputing, 2016

On the schatten norm for matrix based subspace learning and classification.
Neurocomputing, 2016

Guest editors' introduction: Perception, Aesthetics, and Emotion in Multimedia Quality Modeling.
IEEE Multim., 2016

Non-Greedy L21-Norm Maximization for Principal Component Analysis.
CoRR, 2016

Uncovering Locally Discriminative Structure for Feature Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Capped Lp-Norm Graph Embedding for Photo Clustering.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Joint Graph Learning and Video Segmentation via Multiple Cues and Topology Calibration.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Robust and Effective Metric Learning Using Capped Trace Norm: Metric Learning via Capped Trace Norm.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Robust and Sparse Fuzzy K-Means Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Fast Robust Non-Negative Matrix Factorization for Large-Scale Human Action Data Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Parameter-Free Auto-Weighted Multiple Graph Learning: A Framework for Multiview Clustering and Semi-Supervised Classification.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Subspace Clustering via New Low-Rank Model with Discrete Group Structure Constraint.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Avoiding Optimal Mean Robust PCA/2DPCA with Non-greedy ℓ<sub>1</sub>-Norm Maximization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Unsupervised feature extraction using a learned graph with clustering structure.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Unsupervised automatic attribute discovery method via multi-graph clustering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A graph based multimodal geospatial interpolation framework.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Learning Task Relational Structure for Multi-task Feature Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Semi-Supervised Multi-label Dimensionality Reduction.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning from less for better: semi-supervised activity recognition via shared structure discovery.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Discriminatively Embedded K-Means for Multi-view Clustering.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Object Co-segmentation via Graph Optimized-Flexible Manifold Ranking.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Projective Unsupervised Flexible Embedding with Optimal Graph.
Proceedings of the British Machine Vision Conference 2016, 2016

Unsupervised Feature Selection with Structured Graph Optimization.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

The Constrained Laplacian Rank Algorithm for Graph-Based Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

New l1-Norm Relaxations and Optimizations for Graph Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Discriminative Vanishing Component Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Graph-without-cut: An Ideal Graph Learning for Image Segmentation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst., 2015

Feature Selection via Global Redundancy Minimization.
IEEE Trans. Knowl. Data Eng., 2015

Large-Scale Cross-Language Web Page Classification via Dual Knowledge Transfer Using Fast Nonnegative Matrix Trifactorization.
ACM Trans. Knowl. Discov. Data, 2015

Multitask Spectral Clustering by Exploring Intertask Correlation.
IEEE Trans. Cybern., 2015

Robust 2DPCA With Non-greedy ℓ<sub>1</sub>-Norm Maximization for Image Analysis.
IEEE Trans. Cybern., 2015

Joint Schatten p-norm and ℓ<sub>p</sub>-norm robust matrix completion for missing value recovery.
Knowl. Inf. Syst., 2015

Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization.
Int. J. Comput. Vis., 2015

Effective Discriminative Feature Selection with Non-trivial Solutions.
CoRR, 2015

Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers.
CoRR, 2015

Unsupervised Feature Analysis with Class Margin Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Discriminative Unsupervised Dimensionality Reduction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Robust Dictionary Learning with Capped l1-Norm.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-view Subspace Clustering.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Optimal graph learning with partial tags and multiple features for image and video annotation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

A Closed Form Solution to Multi-View Low-Rank Regression.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Learning Robust Locality Preserving Projection via p-Order Minimization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Large-Scale Multi-View Spectral Clustering via Bipartite Graph.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Convex Formulation for Spectral Shrunk Clustering.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection.
IEEE Trans. Cybern., 2014

Multiple rank multi-linear SVM for matrix data classification.
Pattern Recognit., 2014

Learning high-dimensional correspondence via manifold learning and local approximation.
Neural Comput. Appl., 2014

A generative probability model of joint label fusion for multi-atlas based brain segmentation.
Medical Image Anal., 2014

Harnessing Lab Knowledge for Real-World Action Recognition.
Int. J. Comput. Vis., 2014

Compound Rank-k Projections for Bilinear Analysis.
CoRR, 2014

A Convex Sparse PCA for Feature Analysis.
CoRR, 2014

Balanced k-Means and Min-Cut Clustering.
CoRR, 2014

Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK).
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Flexible Shift-Invariant Locality and Globality Preserving Projections.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Large-scale adaptive semi-supervised learning via unified inductive and transductive model.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Clustering and projected clustering with adaptive neighbors.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization.
Proceedings of the 31th International Conference on Machine Learning, 2014

Optimal Mean Robust Principal Component Analysis.
Proceedings of the 31th International Conference on Machine Learning, 2014

Linear Time Solver for Primal SVM.
Proceedings of the 31th International Conference on Machine Learning, 2014

Feature Selection at the Discrete Limit.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Low-Rank Tensor Completion with Spatio-Temporal Consistency.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Globally and Locally Consistent Unsupervised Projection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Convex Formulation for Semi-Supervised Multi-Label Feature Selection.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Social trust prediction using heterogeneous networks.
ACM Trans. Knowl. Discov. Data, 2013

Robust Manifold Nonnegative Matrix Factorization.
ACM Trans. Knowl. Discov. Data, 2013

Efficient Image Classification via Multiple Rank Regression.
IEEE Trans. Image Process., 2013

Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization.
J. Comput. Biol., 2013

Learning a subspace for clustering via pattern shrinking.
Inf. Process. Manag., 2013

Efficient semi-supervised feature selection with noise insensitive trace ratio criterion.
Neurocomputing, 2013

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.
Proceedings of the Information Processing in Medical Imaging, 2013

Early Active Learning via Robust Representation and Structured Sparsity.
Proceedings of the IJCAI 2013, 2013

Adaptive Loss Minimization for Semi-Supervised Elastic Embedding.
Proceedings of the IJCAI 2013, 2013

Thinking of Images as What They Are: Compound Matrix Regression for Image Classification.
Proceedings of the IJCAI 2013, 2013

Social Trust Prediction Using Rank-k Matrix Recovery.
Proceedings of the IJCAI 2013, 2013

Multi-View K-Means Clustering on Big Data.
Proceedings of the IJCAI 2013, 2013

Exact Top-k Feature Selection via l2, 0-Norm Constraint.
Proceedings of the IJCAI 2013, 2013

Multi-View Clustering and Feature Learning via Structured Sparsity.
Proceedings of the 30th International Conference on Machine Learning, 2013

Robust and Discriminative Self-Taught Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model.
Proceedings of the IEEE International Conference on Computer Vision, 2013

New Graph Structured Sparsity Model for Multi-label Image Annotations.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Heterogeneous Visual Features Fusion via Sparse Multimodal Machine.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Supervised and Projected Sparse Coding for Image Classification.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Spectral Rotation versus K-Means in Spectral Clustering.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Robust Discrete Matrix Completion.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Initialization Independent Clustering With Actively Self-Training Method.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Discriminative Least Squares Regression for Multiclass Classification and Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2012

Semi-Supervised Dimension Reduction Using Trace Ratio Criterion.
IEEE Trans. Neural Networks Learn. Syst., 2012

Discriminating Joint Feature Analysis for Multimedia Data Understanding.
IEEE Trans. Multim., 2012

Web Image Annotation Via Subspace-Sparsity Collaborated Feature Selection.
IEEE Trans. Multim., 2012

Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding.
IEEE Trans. Image Process., 2012

Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2012

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction.
Pattern Recognit. Lett., 2012

A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Unsupervised maximum margin feature selection via L 2, 1-norm minimization.
Neural Comput. Appl., 2012

From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinform., 2012

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
Bioinform., 2012

Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Bioinform., 2012

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

An Iterative Locally Linear Embedding Algorithm.
Proceedings of the 29th International Conference on Machine Learning, 2012

Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Robust and discriminative distance for Multi-Instance Learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Trust prediction via aggregating heterogeneous social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor.
IEEE Trans. Vis. Comput. Graph., 2011

Regression Reformulations of LLE and LTSA With Locally Linear Transformation.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering.
IEEE Trans. Neural Networks, 2011

Semisupervised Learning Using Negative Labels.
IEEE Trans. Neural Networks, 2011

Interactive Image Segmentation With Multiple Linear Reconstructions in Windows.
IEEE Trans. Multim., 2011

3D human pose recovery from image by efficient visual feature selection.
Comput. Vis. Image Underst., 2011

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Multi-Subspace Representation and Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Maximum Margin Multi-Instance Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning frame relevance for video classification.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Exploiting the entire feature space with sparsity for automatic image annotation.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Semi-supervised Dimensionality Reduction via Harmonic Functions.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Fast Nonnegative Matrix Tri-Factorization for Large-Scale Data Co-Clustering.
Proceedings of the IJCAI 2011, 2011

Robust Principal Component Analysis with Non-Greedy l<sub>1</sub>-Norm Maximization.
Proceedings of the IJCAI 2011, 2011

Feature Selection via Joint Embedding Learning and Sparse Regression.
Proceedings of the IJCAI 2011, 2011

Cauchy Graph Embedding.
Proceedings of the 28th International Conference on Machine Learning, 2011

Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Multi-Class L2, 1-Norm Support Vector Machine.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Consensus spectral clustering in near-linear time.
Proceedings of the 27th International Conference on Data Engineering, 2011

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Dyadic transfer learning for cross-domain image classification.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Unsupervised and semi-supervised learning via ℓ1-norm graph.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Tag localization with spatial correlations and joint group sparsity.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Heterogeneous image feature integration via multi-modal spectral clustering.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Nonnegative Spectral Clustering with Discriminative Regularization.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Learning Instance Specific Distance for Multi-Instance Classification.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Image Clustering Using Local Discriminant Models and Global Integration.
IEEE Trans. Image Process., 2010

TurboPixel Segmentation Using Eigen-Images.
IEEE Trans. Image Process., 2010

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction.
IEEE Trans. Image Process., 2010

Multiple view semi-supervised dimensionality reduction.
Pattern Recognit., 2010

Semi-Supervised Classification via Local Spline Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A general graph-based semi-supervised learning with novel class discovery.
Neural Comput. Appl., 2010

On the eigenvectors of <i>p</i>-Laplacian.
Mach. Learn., 2010

A general kernelization framework for learning algorithms based on kernel PCA.
Neurocomputing, 2010

Classification by semi-supervised discriminative regularization.
Neurocomputing, 2010

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Regularized Trace Ratio Discriminant Analysis with Patch Distribution Feature for human gait recognition.
Proceedings of the International Conference on Image Processing, 2010

Local and Global Regressive Mapping for Manifold Learning with Out-of-Sample Extrapolation.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Trace Ratio Problem Revisited.
IEEE Trans. Neural Networks, 2009

Nonlinear Dimensionality Reduction with Local Spline Embedding.
IEEE Trans. Knowl. Data Eng., 2009

Interactive Natural Image Segmentation via Spline Regression.
IEEE Trans. Image Process., 2009

Learning an Orthogonal and Smooth Subspace for Image Classification.
IEEE Signal Process. Lett., 2009

Extracting the optimal dimensionality for local tensor discriminant analysis.
Pattern Recognit., 2009

Semi-supervised orthogonal discriminant analysis via label propagation.
Pattern Recognit., 2009

Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations.
Neural Process. Lett., 2009

Embedding new data points for manifold learning via coordinate propagation.
Knowl. Inf. Syst., 2009

Nonlinear dimensionality reduction with relative distance comparison.
Neurocomputing, 2009

Ranking with local regression and global alignment for cross media retrieval.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Spectral Embedded Clustering.
Proceedings of the IJCAI 2009, 2009

Probabilistic Labeled Semi-supervised SVM.
Proceedings of the ICDM Workshops 2009, 2009

Efficient multi-class unlabeled constrained semi-supervised SVM.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Semi-supervised sub-manifold discriminant analysis.
Pattern Recognit. Lett., 2008

Learning a Mahalanobis distance metric for data clustering and classification.
Pattern Recognit., 2008

Contour graph based human tracking and action sequence recognition.
Pattern Recognit., 2008

A unified framework for semi-supervised dimensionality reduction.
Pattern Recognit., 2008

Trace Ratio Criterion for Feature Selection.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Interactive Visual Object Extraction Based on Belief Propagation.
Proceedings of the Advances in Multimedia Modeling, 2007

Neighborhood MinMax Projections.
Proceedings of the IJCAI 2007, 2007

Extracting the Optimal Dimensionality for Discriminant Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2007

Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Spline Embedding for Nonlinear Dimensionality Reduction.
Proceedings of the Machine Learning: ECML 2006, 2006

Contour Matching Based on Belief Propagation.
Proceedings of the Computer Vision, 2006

Exemplar-Based Human Contour Tracking.
Proceedings of the Computer Vision, 2006

Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning.
Proceedings of the Computer Vision, 2006


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