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Transfer Collaborative Fuzzy Clustering in Distributed Peer-to-Peer Networks Journal article
Dang, Bozhan, Wang, Yingxu, Zhou, Jin, Wang, Rongrong, Chen, Long, Chen, C. L.Philip, Zhang, Tong, Han, Shiyuan, Wang, Lin, Chen, Yuehui. Transfer Collaborative Fuzzy Clustering in Distributed Peer-to-Peer Networks[J]. IEEE Transactions on Fuzzy Systems, 2022, 30(2), 500-514.
Authors:  Dang, Bozhan;  Wang, Yingxu;  Zhou, Jin;  Wang, Rongrong;  Chen, Long; et al.
Favorite | TC[WOS]:14 TC[Scopus]:19  IF:10.7/9.7 | Submit date：2022/03/04
Adjustable Learning Rate  Attribute-weight-entropy Regularization  Collaborative Fuzzy Clustering  Distributed Peer-to-peer Network  Transfer Learning  
Information Fusion: Machine Learning Methods Book
Li, Jinxing, Zhang, Bob, Zhang, David. Information Fusion: Machine Learning Methods[M]. Singapore:Springer Nature, 2022, 1-260.
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite | TC[Scopus]:4 | Submit date：2023/08/25
Classifier Fusion  Collaborative Representation  Data Fusion  Deep Learning  Information Fusion  Kernel  Metric Learning  Multi-feature Data  Multi-modal Data  Multi-view Data  Multi-view Learning  Sparse Representation  Weight Fusion  
Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification Conference paper
Zeng, S., Zhang, B., Zhang, Y., Guo, J.. Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification[C], 2018.
Authors:  Zeng, S.;  Zhang, B.;  Zhang, Y.;  Guo, J.
Favorite |  | Submit date：2022/07/13
Sparse Representation  Collaborative Representation  Collaborative Weight  L2 Regularization  Image Classi Cation