Low-rank matrix approximation with weights or missing data is NP-hard

Nicolas Gillis and François Glineur

No 2382, LIDAM Reprints CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Date: 2011-01-01
Note: In : SIAM Journal on Matrix Analysis and Applications, 32(4), 1149-1165, 2011
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Working Paper: Low-rank matrix approximation with weights or missing data is NP-hard (2010)
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