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Lower bounds for the low-rank matrix approximation
Low-rank matrix recovery is an active topic drawing the attention of many researchers. It addresses the problem of approximating the observed data matrix by an unknown low-rank matrix. Suppose that A is a low-rank matrix approximation of D, where D and A are [Formula: see text] matrices. Based on a...
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| Publicado no: | J Inequal Appl |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer International Publishing
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5696467/ https://ncbi.nlm.nih.gov/pubmed/29200797 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13660-017-1564-z |
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