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作者:

Wang, Boyue (Wang, Boyue.) | Hu, Yongli (Hu, Yongli.) (学者:胡永利) | Gao, Junbin (Gao, Junbin.) | Sun, Yanfeng (Sun, Yanfeng.) (学者:孙艳丰) | Yin, Baocai (Yin, Baocai.) (学者:尹宝才)

收录:

EI Scopus

摘要:

Inspired by low rank representation and sparse subspace clustering acquiring success, ones attempt to simultaneously perform low rank and sparse constraints on the affinity matrix to improve the performance. However, it is just a trade-off between these two constraints. In this paper, we propose a novel Cascaded Low Rank and Sparse Representation (CLRSR) method for subspace clustering, which seeks the sparse expression on the former learned low rank latent representation. By this cascaded way, the sparse and low rank properties of the data are revealed adequately. Additionally, we extent CLRSR onto Grassmann manifolds to deal with multi-dimension data such as imageset or videos. An effective solution and its convergence analysis are also provided. The experimental results demonstrate the proposed method has excellent performance compared with state-of-the-art clustering methods. © 2018 International Joint Conferences on Artificial Intelligence. All right reserved.

关键词:

Economic and social effects Clustering algorithms Learning to rank

作者机构:

  • [ 1 ] [Wang, Boyue]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, China
  • [ 2 ] [Wang, Boyue]Faculty of Information Technology, Beijing University of Technology, China
  • [ 3 ] [Hu, Yongli]Beijing Advanced Innovation Center for Future Internet Technology, China
  • [ 4 ] [Hu, Yongli]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, China
  • [ 5 ] [Hu, Yongli]Faculty of Information Technology, Beijing University of Technology, China
  • [ 6 ] [Gao, Junbin]University of Sydney Business School, University of Sydney, NSW; 2006, Australia
  • [ 7 ] [Sun, Yanfeng]Beijing Advanced Innovation Center for Future Internet Technology, China
  • [ 8 ] [Sun, Yanfeng]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, China
  • [ 9 ] [Sun, Yanfeng]Faculty of Information Technology, Beijing University of Technology, China
  • [ 10 ] [Yin, Baocai]Beijing Advanced Innovation Center for Future Internet Technology, China
  • [ 11 ] [Yin, Baocai]Beijing Key Laboratory of Multimedia and Intelligent Software Technology, China
  • [ 12 ] [Yin, Baocai]Faculty of Information Technology, Beijing University of Technology, China
  • [ 13 ] [Yin, Baocai]Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China

通讯作者信息:

  • 胡永利

    [hu, yongli]faculty of information technology, beijing university of technology, china;;[hu, yongli]beijing key laboratory of multimedia and intelligent software technology, china;;[hu, yongli]beijing advanced innovation center for future internet technology, china

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ISSN: 1045-0823

年份: 2018

卷: 2018-July

页码: 2755-2761

语种: 英文

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SCOPUS被引频次: 10

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