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2006
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Equivalence of Non-Iterative Algorithms for Simultaneous Low Rank Approximations of Matrices

9 years 11 months ago
Equivalence of Non-Iterative Algorithms for Simultaneous Low Rank Approximations of Matrices
Recently four non-iterative algorithms for simultaneous low rank approximations of matrices (SLRAM) have been presented by several researchers. In this paper, we show that those algorithms are equivalent to each other because they are reduced to the eigenvalue problems of row-row and column-column covariance matrices of given matrices. Also, we show a relationship between the non-iterative algorithms and another algorithm which is claimed to be an analytical algorithm for the SLRAM. Experimental results show that the analytical algorithm does not necessarily give the optimal solution of the SLRAM.
Kohei Inoue, Kiichi Urahama
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2006
Where CVPR
Authors Kohei Inoue, Kiichi Urahama
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