Random Sampling for Subspace Face Recognition

Issue Title: Special Issue: Computer Vision and Pattern Recognition-CVPR 2004 Subspace face recognition often suffers from two problems: (1) the training sample set is small compared with the high dimensional feature vector; (2) the performance is sensitive to the subspace dimension. Instead of purs...

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Bibliographic Details

Published in:	International journal of computer vision Vol. 70; no. 1; pp. 91 - 104
Main Authors:	Wang, Xiaogang, Tang, Xiaoou
Format:	Journal Article
Language:	English
Published:	New York Springer Nature B.V 01.10.2006
Subjects:	Polls & surveys Studies
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
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