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Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component Conference paper
Xindi Ma, Jie Gao, Xiaoyu Liu, Taiping Zhang, Yuan Yan Tang. Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component[C]:IEEE, 2021, 1139-1144.
Authors:  Xindi Ma;  Jie Gao;  Xiaoyu Liu;  Taiping Zhang;  Yuan Yan Tang
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/13
Exponential Gaussian Model  Indian Buffet Process  Nonnegative Matrix Factorization  Single Binary Components  
Cauchy NMF for Hyperspectral Unmixing Conference paper
Jiangtao Peng, Fan Jiang, Weiwei Sun, Yicong Zhou. Cauchy NMF for Hyperspectral Unmixing[C], 2021, 2384-2387.
Authors:  Jiangtao Peng;  Fan Jiang;  Weiwei Sun;  Yicong Zhou
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2022/07/09
Hyperspectral Unmixing  Nonnegative Matrix Factorization  Cauchy Loss Function  
Self-Paced Nonnegative Matrix Factorization for Hyperspectral Unmixing Journal article
Peng, Jiangtao, Zhou, Yicong, Sun, Weiwei, Du, Qian, Xia, Lekang. Self-Paced Nonnegative Matrix Factorization for Hyperspectral Unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(2), 1501-1515.
Authors:  Peng, Jiangtao;  Zhou, Yicong;  Sun, Weiwei;  Du, Qian;  Xia, Lekang
Favorite | TC[WOS]:61 TC[Scopus]:64  IF:7.5/7.6 | Submit date：2021/12/07
Hyperspectral Unmixing  Nonnegative Matrix Factorization (Nmf)  Self-paced Learning (Spl)  
A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing Journal article
Peng, Jiangtao, Sun, Weiwei, Jiang, Fan, Chen, Hong, Zhou, Yicong, Du, Qian. A General Loss-Based Nonnegative Matrix Factorization for Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 19, 5500105.
Authors:  Peng, Jiangtao;  Sun, Weiwei;  Jiang, Fan;  Chen, Hong;  Zhou, Yicong; et al.
Favorite | TC[WOS]:4 TC[Scopus]:13  IF:4.0/4.4 | Submit date：2022/05/17
Hyperspectral Imaging  Robustness  Data Models  Matrix Decomposition  Shape  Loss Measurement  General Loss  Hyperspectral Unmixing  Nonnegative Matrix Factorization (Nmf)  
Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering Journal article
Yan,Wei, Zhang,Bob, Yang,Zuyuan, Xie,Shengli. Similarity Learning-Induced Symmetric Nonnegative Matrix Factorization for Image Clustering[J]. IEEE Access, 2019, 7, 166380-166389.
Authors:  Yan,Wei;  Zhang,Bob;  Yang,Zuyuan;  Xie,Shengli
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:3.4/3.7 | Submit date：2021/03/11
Clustering  Nonnegative Matrix Factorization (Nmf)  Symmetric Nonnegative Matrix Factorization (Snmf)  Unsupervised Learning  
Maximum correntropy criterion for convex and semi-nonnegative matrix factorization Conference paper
Qin A., Shang Z., Tian J., Li A., Wang Y., Tang Y.Y.. Maximum correntropy criterion for convex and semi-nonnegative matrix factorization[C], 2017, 1856-1861.
Authors:  Qin A.;  Shang Z.;  Tian J.;  Li A.;  Wang Y.; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4 | Submit date：2019/02/11
Clustering  Maximum Correntropy Criterion  Nonnegative Matrix Factorization  
Maximum Correntropy Criterion for Convex and Semi-Nonnegative Matrix Factorization Conference paper
Qin, Anyong, Shang, Zhaowei, Tian, Jinyu, Li, Ailin, Wang, Yulong, Tang, Yuan Yan, IEEE. Maximum Correntropy Criterion for Convex and Semi-Nonnegative Matrix Factorization[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 1856-1861.
Authors:  Qin, Anyong;  Shang, Zhaowei;  Tian, Jinyu;  Li, Ailin;  Wang, Yulong; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4 | Submit date：2018/10/30
Maximum Correntropy Criterion  Nonnegative Matrix Factorization  Clustering  
Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing Journal article
Wenhong Wang, Yuntao Qian, Yuan Yan Tang. Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(2), 681-694.
Authors:  Wenhong Wang;  Yuntao Qian;  Yuan Yan Tang
Favorite | TC[WOS]:83 TC[Scopus]:95  IF:4.7/5.0 | Submit date：2019/02/11
Hypergraph Learning  Hyperspectral Unmixing (Hu)  Nonnegative Matrix Factorization (Nmf)  Sparse Coding  
Factorization Algorithms for Temporal Psychovisual Modulation Display Journal article
Zhongpai Gao, Guangtao Zhai, Jiantao Zhou. Factorization Algorithms for Temporal Psychovisual Modulation Display[J]. IEEE Transactions on Multimedia, 2016, 18(4), 614-626.
Authors:  Zhongpai Gao;  Guangtao Zhai;  Jiantao Zhou
Adobe PDF | Favorite | TC[WOS]:11 TC[Scopus]:12  IF:8.4/8.0 | Submit date：2018/12/22
Hierarchical Alternating Least Squares (Hals)  Image Display  Nonnegative Matrix Factorization (Nmf)  Temporal Psychovisual Modulation (Tpvm)  Visual Signal Processing  
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