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Abstract: We study the frequent problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low rank approximation problems, which, unlike simple matrix factorization problems, do not admit a closed form solution in general. We analyze, in addition, the nature of locally optimal solutions that arise in this context, demonstrate the utility of accommodating the weights in reconstructing the underlying low rank... (Update)
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BibTeX entry: (Update)
@misc{ institute-unknown,
author = "Mit Massachusetts Institute",
title = "Unknown",
url = "citeseer.ist.psu.edu/565095.html" }
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