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    L1-norm-based 2DPCA

    Li, Xuelong and Pang, Y. and Yuan, Y. (2010) L1-norm-based 2DPCA. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 (4), pp. 1170-1175. ISSN 1083-4419.

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    Abstract

    In this paper, we first present a simple but effective L1-norm-based two-dimensional principal component analysis (2DPCA). Traditional L2-norm-based least squares criterion is sensitive to outliers, while the newly proposed L1-norm 2DPCA is robust. Experimental results demonstrate its advantages.

    Metadata

    Item Type: Article
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 20 Jun 2013 13:05
    Last Modified: 11 Oct 2016 15:27
    URI: https://eprints.bbk.ac.uk/id/eprint/7536

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