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Consensus guided incomplete multi-view spectral clustering Journal article
Neural Networks, 2021,Volume: 133,Page: 207-219
Authors:  Wen,Jie;  Sun,Huijie;  Fei,Lunke;  Li,Jinxing;  Zhang,Zheng;  Zhang,Bob
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/11
Co-regularization  Incomplete Multi-view Clustering  Manifold Learning  Spectral Clustering  
Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination Journal article
IEEE Transactions on Circuits and Systems for Video Technology, 2019,Volume: 29,Issue: 5,Page: 1284-1295
Authors:  Liu,Licheng;  Li,Shutao;  Chen,C. L.Philip
Favorite |  | TC[WOS]:2 TC[Scopus]:5 | Submit date:2021/03/09
adaptively weights learning  face hallucination  locality regularization  noise robust coding  Relaxed collaborative representation  
Hypergraph p-Laplacian Regularization for Remotely Sensed Image Recognition Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2019,Volume: 57,Issue: 3,Page: 1585 - 1595
Authors:  Xueqi Ma;  Weifeng Liu;  Shuying Li;  Dapeng Tao;  Yicong Zhou
Favorite |  | TC[WOS]:47 TC[Scopus]:25 | Submit date:2019/03/26
Hypergraph  Manifold Learning  P-laplacian  Remote Sensing  Semi-supervised Learning  
p-Laplacian Regularization for Indoor Scene Recognition Journal article
IEEE Transactions on Cybernetics, 2018,Page: 1 - 14
Authors:  Weifeng Liu;  Xueqi Ma;  Yicong Zhou;  Dapeng Tao;  Jun Cheng
Favorite |  | TC[WOS]:68 TC[Scopus]:36 | Submit date:2019/03/26
Laplacian Regularization (Lapr)  Manifold Learning  P-laplacian  Scene Recognition  Semi-supervised Learning (Ssl)  
Learning the Distribution Preserving Semantic Subspace for Clustering Journal article
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017,Volume: 26,Issue: 12,Page: 5950-5965
Authors:  Tian, Jinyu;  Zhang, Taiping;  Qin, Anyong;  Shang, Zhaowei;  Tang, Yuan Yan
Favorite |  | TC[WOS]:17 TC[Scopus]:19 | Submit date:2018/10/30
Clustering  Distribution Preserving Indexing  Semantic Representation  Local Manifold Structure  
A novel regularized concept factorization for document clustering Journal article
KNOWLEDGE-BASED SYSTEMS, 2017,Volume: 135,Page: 147-158
Authors:  Yan, Wei;  Zhang, Bob;  Ma, Sihan;  Yang, Zuyuan
Favorite |  | TC[WOS]:11 TC[Scopus]:14 | Submit date:2018/10/30
Document clustering  Concept factorization  Manifold regularization  
Robust Nonnegative Patch Alignment for Dimensionality Reduction Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2015,Volume: 26,Issue: 11,Page: 2760 - 2774
Authors:  Xinge You;  Weihua Ou;  Chun Lung Philip Chen;  Qiang Li;  Ziqi Zhu;  Yuanyan Tang
Favorite |  | TC[WOS]:23 TC[Scopus]:24 | Submit date:2018/10/30
Correntropy-induced Metric (Cim)  Dimensionality Reduction  Locality Preserving (Lp)  Robust Nonnegative Patch Alignment (Rnpa)  Sparsity Preserving (Sp)  
Manifold-Based Sparse Representation for Hyperspectral Image Classification Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2014,Volume: 52,Issue: 12,Page: 7606 - 7618
Authors:  Yuan Yan Tang;  Haoliang Yuan;  Luoqing Li
Favorite |  | TC[WOS]:0 TC[Scopus]:93 | Submit date:2018/10/30
Classification  Hyperspectral Image (Hsi)  Laplacian Eigenmap (Le)  Locally Linear Embedding (Lle)  Manifold Learning  Sparse Representation  
Learning orthogonal projections for Isomap Journal article
Neurocomputing, 2013,Volume: 103,Page: 149-154
Authors:  Zheng, Yali;  Fang, Bin;  Tang, Yuan Yan;  Zhang, Taiping;  Liu, Ruizong
Favorite |  | TC[WOS]:7 TC[Scopus]:9 | Submit date:2018/11/06
Manifold Learning  Isomap  Orthogonal Projection  
Incremental embedding and learning in the local discriminant subspace with application to face recognition Journal article
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 2010,Volume: 40,Issue: 5,Page: 580-591
Authors:  Cheng M.;  Fang B.;  Tang Y.Y.;  Zhang T.;  Wen J.
Favorite |  | TC[WOS]:22 TC[Scopus]:32 | Submit date:2019/02/11
Dimensionality reduction  discriminant embedding  face recognition  incremental learning  manifold learning  singular value decomposition (SVD)  small sample size (SSS) problem