Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
In this paper, we develop an approach to exploiting kernel methods with manifold-valued data. In many computer vision problems, the data can be naturally represented as points on a Riemannian manifold. Due to the non-Euclidean geometry of Riemannian manifolds, usual Euclidean computer vision and mac...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 37(2015), 12 vom: 21. Dez., Seite 2464-77
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| Auteur principal: |
Jayasumana, Sadeep
(Auteur) |
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| Autres auteurs: |
Hartley, Richard,
Salzmann, Mathieu,
Li, Hongdong,
Harandi, Mehrtash |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2015
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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