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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Bibliographic Details
Main Authors: HUANG, Zhiwu, WANG, R., LI, X., LIU, W., SHAN, S., VAN, Gool L., CHEN, X
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access: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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Institution: Singapore Management University
Language: English