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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التنسيق: | text |
اللغة: | English |
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Institutional Knowledge at Singapore Management University
2018
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الوصول للمادة أونلاين: | 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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المؤسسة: | Singapore Management University |
اللغة: | English |