Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization with Convergence Guarantees
In recent years, low-rank matrix recovery problems have attracted much attention in computer vision and machine learning. The corresponding rank minimization problems are both combinational and NP-hard in general, which are mainly solved by both nuclear norm and Schatten-p (0<p<1) norm based o...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2019) vom: 11. Dez.
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| 1. Verfasser: |
Zhang, Hengmin
(VerfasserIn) |
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| Weitere Verfasser: |
Qian, Jianjun,
Zhang, Bob,
Yang, Jian,
Gong, Chen,
Wei, Yang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2019
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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