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 theoryofcomputing.org
Matrix Approximation and Projective Clustering via Volume Sampling: Theory of Computing: An Open Access Electronic Journal in Theoretical Computer Science
| | nickhar.wordpress.com
Lecture 15: Low-rank approximation of matrices | UBC CPSC 536N
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| | 1. Low-rank approximation of matrices Let $latex {A}&fg=000000$ be an arbitrary $latex {n \times m}&fg=000000$ matrix. We assume $latex {n \leq m}&fg=000000$. We consider the problem of approximating $latex {A}&fg=000000$ by a low-rank matrix. For example, we could seek to find a rank $latex {s}&fg=000000$ matrix $latex {B}&fg=000000$ minimizing $latex { \lVert A - B...
| | eccc.hpi-web.de
ECCC - TR15-057
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| | Homepage of the Electronic Colloquium on Computational Complexity located at the Weizmann Institute of Science, Israel
| | eccc.weizmann.ac.il
ECCC - TR24-036
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| | Homepage of the Electronic Colloquium on Computational Complexity located at the Weizmann Institute of Science, Israel
| | cambridge163.wordpress.com
First blog post - cambridge163
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