Geometry-aware similarity learning on SPD manifolds for visual recognition
Symmetric positive definite (SPD) matrices have been employed for data representation in many visual recognition tasks. The success is mainly attributed to learning discriminative SPD matrices encoding the Riemannian geometry of the underlying SPD manifolds. In this paper, we propose a geometry-awar...
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格式: | text |
語言: | English |
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Institutional Knowledge at Singapore Management University
2018
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在線閱讀: | https://ink.library.smu.edu.sg/sis_research/6385 https://ink.library.smu.edu.sg/context/sis_research/article/7388/viewcontent/Geometry_aware_Similarity_Learning.pdf |
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