Enhanced Group Sparse Regularized Nonconvex Regression for Face Recognition
Regression analysis based methods have shown strong robustness and achieved great success in face recognition. In these methods, convex l1-norm and nuclear norm are usually utilized to approximate the l0-norm and rank function. However, such convex relaxations may introduce a bias and lead to a subo...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 5 vom: 27. Mai, Seite 2438-2452
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| 1. Verfasser: |
Zhang, Chao
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Huaxiong,
Chen, Chunlin,
Qian, Yuhua,
Zhou, Xianzhong |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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