Kernel methods on the Riemannian manifold of symmetric positive definite matrices
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Hirimbura Matara (Jayasumana), Gayan (Sadeep)
Hartley, Richard
Salzmann, Mathieu
Li, Hongdong
Harandi, Mehrtash T.
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IEEE
Abstract
Symmetric Positive Definite (SPD) matrices have become popular to encode image information. Accounting for the geometry of the Riemannian manifold of SPD matrices has proven key to the success of many algorithms. However, most existing methods only approx
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Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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2037-12-31