English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 30 Help

Selected(0)Clear Items/Page:    Sort:
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  
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean Journal article
Zhang, Hengmin, Zhao, Jiaoyan, Zhang, Bob, Gong, Chen, Qian, Jianjun, Yang, Jian. Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(3), 3012-3026.
Authors:  Zhang, Hengmin;  Zhao, Jiaoyan;  Zhang, Bob;  Gong, Chen;  Qian, Jianjun; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:10.2/10.4 | Submit date：2024/02/22
Low-rank Representation (Lrr)  Matrix Factorization  Optimal Mean  Schatten P-norm  Subspace Clustering  
Revisiting Embedding Based Graph Analyses: Hyperparameters Matter! Journal article
Yang, Dingqi, Qu, Bingqing, Hussein, Rana, Rosso, Paolo, Cudre-Mauroux, Philippe, Liu, Jie. Revisiting Embedding Based Graph Analyses: Hyperparameters Matter![J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(11), 11830-11845.
Authors:  Yang, Dingqi;  Qu, Bingqing;  Hussein, Rana;  Rosso, Paolo;  Cudre-Mauroux, Philippe; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.9/8.8 | Submit date：2023/12/06
Graph Analysis  Graph Embedding  Homogeneous Graph  Matrix Factorization  Network Representation  Random Walk  
Data Representation by Joint Hypergraph Embedding and Sparse Coding (Extended Abstract) Conference paper
Guo Zhong, Chi-Man Pun. Data Representation by Joint Hypergraph Embedding and Sparse Coding (Extended Abstract)[C]:IEEE Computer Society, 2023, 3781 - 3782.
Authors:  Guo Zhong;  Chi-Man Pun
Favorite | TC[Scopus]:0 | Submit date：2023/08/21
Data Clustering  Data Representation  Hypergraph Learning  Kernel Trick  Matrix Factorization  
Molecular Characterization of Oxygenated Organic Molecules and Their Dominating Roles in Particle Growth in Hong Kong Journal article
Zheng,Penggang, Chen,Yi, Wang,Zhe, Liu,Yuliang, Pu,Wei, Yu,Chuan, Xia,Men, Xu,Yang, Guo,Jia, Guo,Yishuo, Tian,Linhui, Qiao,Xiaohui, Huang,Dan Dan, Yan,Chao, Nie,Wei, Worsnop,Douglas R., Lee,Shuncheng, Wang,Tao. Molecular Characterization of Oxygenated Organic Molecules and Their Dominating Roles in Particle Growth in Hong Kong[J]. Environmental Science and Technology, 2023, 57(20), 7764-7776.
Authors:  Zheng,Penggang;  Chen,Yi;  Wang,Zhe;  Liu,Yuliang;  Pu,Wei; et al.
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:10.8/11.6 | Submit date：2023/08/03
Categorization Scheme  Chemical Ionization Mass Spectrometer (Cims)  Multifunctional Oxidation Products  Nanoparticle Growth  Oxygenated Organic Molecules (Ooms)  Positive Matrix Factorization (Pmf)  
Data Representation by Joint Hypergraph Embedding and Sparse Coding Journal article
Guo Zhong, Chi-Man Pun. Data Representation by Joint Hypergraph Embedding and Sparse Coding[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 34(5), 2106-2119.
Authors:  Guo Zhong;  Chi-Man Pun
Favorite | TC[WOS]:5 TC[Scopus]:7  IF:8.9/8.8 | Submit date：2022/05/13
Data Clustering  Data Representation  Hypergraph Learning  Kernel Trick  Matrix Factorization  
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  
Matrix factorization with dual-network collaborative embedding for social recommendation Journal article
Wei, Maosheng, Wu, Jun, Yang, Lina, Tang, Yuanyan. Matrix factorization with dual-network collaborative embedding for social recommendation[J]. International Journal of Wavelets Multiresolution and Information Processing, 2021, 19(5).
Authors:  Wei, Maosheng;  Wu, Jun;  Yang, Lina;  Tang, Yuanyan
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:0.9/1.1 | Submit date：2021/12/08
Matrix Factorization  Network Embedding  Social Recommendation  
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]:63  IF:7.5/7.6 | Submit date：2021/12/07
Hyperspectral Unmixing  Nonnegative Matrix Factorization (Nmf)  Self-paced Learning (Spl)