Local Low-Rank Matrix Approximation
1:05:06
Microsoft
Local Low-Rank Matrix Approximation
Matrix approximation is a common tool in recommendation systems, text mining, and computer vision. A prevalent assumption in constructing matrix approximations is that the partially observed matrix is of low-rank. We propose a new matrix approximation model where we assume instead that the matrix is locally of low-rank, leading to a ...
May 7, 2014
Low-rank Approximation Applications
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