N-mode singular vector selection in higher-order singular value decomposition

Kohei Inoue, Kiichi Urahama

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)


    In this paper, we propose a method for selecting n-mode singular vectors in higher-order singular value decomposition. We select the minimum number of n-mode singular vectors, when the upper bound of a least-squares cost function is thresholded. The reduced n-ranks of all modes of a given tensor are determined automatically and the tensor is represented with the minimum number of dimensions. We apply the selection method to simultaneous low rank approximation of matrices. Experimental results show the effectiveness of the n-mode singular vector selection method.

    Original languageEnglish
    Pages (from-to)3380-3384
    Number of pages5
    JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    Issue number11
    Publication statusPublished - Nov 2008

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering
    • Computer Graphics and Computer-Aided Design
    • Applied Mathematics
    • Signal Processing


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