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    Parameter selection for nonnegative l1 matrix/tensor sparse decomposition

    Access Status
    Fulltext not available
    Authors
    Wang, Y.
    Liu, Wan-Quan
    Caccetta, Louis
    Zhou, Guanglu
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Wang, Y. and Liu, W. and Caccetta, L. and Zhou, G. 2015. Parameter selection for nonnegative l1 matrix/tensor sparse decomposition. Operations Research Letters. 43: pp. 423-426.
    Source Title
    Operations Research Letters
    DOI
    10.1016/j.orl.2015.06.005
    ISSN
    0167-6377
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/38485
    Collection
    • Curtin Research Publications
    Abstract

    For the nonnegative l1 matrix/tensor sparse decomposition problem, we derive a threshold bound for the parameters beyond which all the decomposition factors are zero. The obtained result provides a guideline on selection for l1 regularization parameters and extends the corresponding result on Lasso optimization problem.

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