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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Main Authors: HUANG, Zhiwu, WANG, R., LI, X., LIU, W., SHAN, S., VAN, Gool L., CHEN, X
格式: text
語言:English
出版: 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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