Structured Low-Rank Matrix Factorization : Global Optimality, Algorithms, and Applications
Convex formulations of low-rank matrix factorization problems have received considerable attention in machine learning. However, such formulations often require solving for a matrix of the size of the data matrix, making it challenging to apply them to large scale datasets. Moreover, in many applica...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 6 vom: 20. Juni, Seite 1468-1482 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Journal Article |
| Online verfügbar |
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