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Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF Journal article
Zeng, Shan, Duan, Xiangjun, Bai, Jun, Tao, Wei, Hu, Kun, Tang, Yuanyan. Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF[J]. IEEE Transactions on Fuzzy Systems, 2024, 32(4), 1615-1629.
Authors:  Zeng, Shan;  Duan, Xiangjun;  Bai, Jun;  Tao, Wei;  Hu, Kun; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:10.7/9.7 | Submit date：2024/05/02
Fuzzy Clustering  Laplace Graph Regularization  Seminonnegative Matrix Factorization (Semi-nmf)  Soft Multiprototype Clustering  
Distribution preserving-based deep semi-NMF for data representation Journal article
Anyong Qin, Zhuolin Tan, Xingli Tan, Yongji Wu, Cheng Jing, Yuan Yan Tang. Distribution preserving-based deep semi-NMF for data representation[J]. NEUROCOMPUTING, 2023, 524, 69-83.
Authors:  Anyong Qin;  Zhuolin Tan;  Xingli Tan;  Yongji Wu;  Cheng Jing; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:5.5/5.5 | Submit date：2023/04/03
Clustering  Deep Semi-nmf  Distribution Preserving  Manifold Structure  Projected Barzilai-borwein Method  
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  
Secure and Verifiable Outsourcing of Large-scale Nonnegative Matrix Factorization (NMF) Journal article
Jia Duan, Jiantao Zhou, Yuanman Li. Secure and Verifiable Outsourcing of Large-scale Nonnegative Matrix Factorization (NMF)[J]. IEEE Transactions on Services Computing, 2019, 14(6), 1940-1953.
Authors:  Jia Duan;  Jiantao Zhou;  Yuanman Li
Adobe PDF | Favorite | TC[WOS]:11 TC[Scopus]:13  IF:5.5/5.9 | Submit date：2022/07/07
Cloud Computing  Nmf  Secure Outsourcing  Verification  
Secure and Verifiable Outsourcing of Large-Scale Nonnegative Matrix Factorization (NMF) Journal article
Duan, Jia, Zhou, Jiantao, Li, Yuanman. Secure and Verifiable Outsourcing of Large-Scale Nonnegative Matrix Factorization (NMF)[J]. IEEE Transactions on Services Computing, 2019, 14(6), 1940-1953.
Authors:  Duan, Jia;  Zhou, Jiantao;  Li, Yuanman
Favorite | TC[WOS]:11 TC[Scopus]:13  IF:5.5/5.9 | Submit date：2022/05/13
Cloud Computing  Nmf  Secure Outsourcing  Verification  
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