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Information Theoretic Subspace Clustering 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2016, 卷号: 27, 期号: 12, 页码: 2643-2655
Authors:  He, Ran;  Wang, Liang;  Sun, Zhenan;  Zhang, Yingya;  Li, Bo;  Bo LI
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Correntropy  Group Sparsity  Low-rank Representation (Lrr)  Subspace Clustering  
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 卷号: 119, 期号: 3, 页码: 329-345
Authors:  Zhao, Fang;  Huang, Yongzhen;  Wang, Liang;  Xiang, Tao;  Tan, Tieniu
View  |  Adobe PDF(6286Kb)  |  Favorite  |  View/Download:85/21  |  Submit date:2016/10/20
Representation Learning  Video Analysis  Restricted Boltzmann Machine  Sparse Bayesian Learning  
Representative Vector Machines: A Unified Framework for Classical Classifiers 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 8, 页码: 1877-1888
Authors:  Gui, Jie;  Liu, Tongliang;  Tao, Dacheng;  Sun, Zhenan;  Tan, Tieniu
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Discriminant Vector Machine (Dvm)  Pattern Classification  Representative Vector Machines (Rvms)  Sparse Representation  Support Vector Machines (Svms)  
Cross-Modal Subspace Learning via Pairwise Constraints 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5543-5556
Authors:  Ran He(赫然);  Man Zhang;  Liang Wang;  Ye Ji;  Qiyue Yin;  Ji, Ye
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Multi Modal  Pairwise Constraint  Subspace Clustering  
Unconstrained Multimodal Multi-Label Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 11, 页码: 1923-1935
Authors:  Huang, Yan;  Wang, Wei;  Wang, Liang
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Multi-label Learning  Multi-task Learning  Multimodal Learning  Restricted Boltzmann Machine