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Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion Journal article
Li, Yuanman, Zhou, Jiantao, Chen, Junyang, Tian, Jinyu, Dong, Li, Li, Xia. Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion[J]. IEEE Transactions on Computational Social Systems, 2022, 9(6), 1830-1841.
Authors:  Li, Yuanman;  Zhou, Jiantao;  Chen, Junyang;  Tian, Jinyu;  Dong, Li; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:4.5/4.6 | Submit date：2022/05/13
Data Models  Distributed Databases  Entropy  Gaussian Noise  Information-theoretic Learning (Itl)  Laplace Equations  Noise Of Social Data  Optimization  Robustness  Robustness Of Social Systems  Surveillance Video Modeling.  
Weighted Error Entropy-Based Information Theoretic Learning for Robust Subspace Representation Journal article
Li, Yuanman, Zhou, Jiantao, Tian, Jinyu, Zheng, Xianwei, Tang, Yuan Yan. Weighted Error Entropy-Based Information Theoretic Learning for Robust Subspace Representation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(9), 4228-4242.
Authors:  Li, Yuanman;  Zhou, Jiantao;  Tian, Jinyu;  Zheng, Xianwei;  Tang, Yuan Yan
Favorite | TC[WOS]:24 TC[Scopus]:20  IF:10.2/10.4 | Submit date：2022/05/13
Independent And Piecewise Identically Distributed  Information-theoretic Learning (Itl)  Subspace Representation (Sr)  Weighted Parzen Window (Wpw)  
Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation Journal article
Yulong Wang, Yuan Yan Tang, Luoqing Li. Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation[J]. IEEE Transactions on Image Processing, 2015, 24(12), 5868-5878.
Authors:  Yulong Wang;  Yuan Yan Tang;  Luoqing Li
Favorite | TC[WOS]:20 TC[Scopus]:30  IF:10.8/12.1 | Submit date：2019/02/11
Atomic Representation  Face Recognition  Information-theoretic Learning  Minimum Error Entropy  
Minimum error entropy based sparse representation for robust subspace clustering Journal article
Wang Y., Tang Y.Y., Li L.. Minimum error entropy based sparse representation for robust subspace clustering[J]. IEEE Transactions on Signal Processing, 2015, 63(15), 4010-4021.
Authors:  Wang Y.;  Tang Y.Y.;  Li L.
Favorite | TC[WOS]:31 TC[Scopus]:30 | Submit date：2019/02/11
Atomic Representation  Error Entropy  Face Clustering  Information Theoretic Learning  Subspace  
Learning the Informative Components in Nonnegative Matrix Factorization Conference paper
Miao Cheng, Bin Fang, Jing Chen, Weibin Yang, Yuan Yan Tang. Learning the Informative Components in Nonnegative Matrix Factorization[C]:IEEE, 2010, 1052-1056.
Authors:  Miao Cheng;  Bin Fang;  Jing Chen;  Weibin Yang;  Yuan Yan Tang
Favorite | TC[Scopus]:0 | Submit date：2019/02/11
Gradient Method  Information Theoretic Learning  Line Search Approach  Nonnegative Matrix Factorization (Nmf)  Stopping Rule