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    Nonnegative matrix and tensor factorizations, least squares problems, and applications 

    Kim, Jingu (Georgia Institute of Technology, 2011-11-14)
    Nonnegative matrix factorization (NMF) is a useful dimension reduction method that has been investigated and applied in various areas. NMF is considered for high-dimensional data in which each element has a nonnegative ...

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    AuthorKim, Jingu (1)Subject
    Active set method (1)
    Block principal pivoting (1)
    Canonical decomposition (1)
    Computer science (1)
    l1-regularized linear regression (1)
    Least squares (1)
    Linear complementarity problem (1)
    Low rank approximation (1)
    Matrices (1)
    Mixed-norm regularization (1)... View MoreDate Issued
    2011 (1)
    Has File(s)
    Yes (1)
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