BIROn - Birkbeck Institutional Research Online

    Binary sparse nonnegative matrix factorization

    Yuan, Y. and Li, Xuelong and Pang, Y. and Lu, X. and Tao, D. (2009) Binary sparse nonnegative matrix factorization. Transactions on Circuits and Systems for Video Technology 19 (5), pp. 772-777. ISSN 1051-8215.

    Full text not available from this repository.


    This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing process of B-SNMF are much faster than those of binary principal component analysis (B-PCA). Besides, B-SNMF is more robust to occlusions in images. Experimental results on face images demonstrate the effectiveness and the efficiency of the proposed B-SNMF.


    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Sarah Hall
    Date Deposited: 11 Jul 2013 10:51
    Last Modified: 09 Aug 2023 12:33


    Activity Overview
    6 month trend
    6 month trend

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item