Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications
The symmetric positive-definite (SPD) matrix, as a connected Riemannian manifold, has become increasingly popular for encoding image information. Most existing sparse models are still primarily developed in the Euclidean space. They do not consider the non-linear geometrical structure of the data sp...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 11 vom: 04. Nov., Seite 3729-41
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| 1. Verfasser: |
Wu, Yuwei
(VerfasserIn) |
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| Weitere Verfasser: |
Jia, Yunde,
Li, Peihua,
Zhang, Jian,
Yuan, Junsong |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2015
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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
Research Support, Non-U.S. Gov't |
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