Projection metric learning on Grassmann manifold with application to video based face recognition

Projection metric learning on Grassmann manifold with application to video based face recognition

In video based face recognition, great success has been made by representing videos as linear subspaces, which typically lie in a special type of non-Euclidean space known as Grassmann manifold. To leverage the kernel-based methods developed for Euclidean space, several recent methods have been prop...

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書目詳細資料
Main Authors:	HUANG, Zhiwu, WANG, R., SHAN, S., CHEN, X.
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2015
主題:	Manifolds Yttrium Face Kernel Hilbert space Symmetric matrices Databases and Information Systems Graphics and Human Computer Interfaces
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/6400 https://ink.library.smu.edu.sg/context/sis_research/article/7403/viewcontent/Projection_Metric_Learning_on_Grassmann_Manifold_with_Application_to_Video.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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