A linear discriminant analysis framework based on random subspace for face recognition-Reference-Cited by-同舟云学术

A linear discriminant analysis framework based on random subspace for face recognition

Published:2007-09 Issue:9 Volume:40 Page:2585-2591
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Zhang Xiaoxun,Jia Yunde

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference16 articles.

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2. A direct LDA algorithm for high-dimensional data-with application to face recognition;Yu;Pattern Recognition,2001

3. A new LDA-based face recognition system which can solve the small sample size problem;Chen;J. Pattern Recognition,2000

4. Bagging, boosting, and the random subspace method for linear classifiers;Skurichina;Pattern Analysis and Applications,2002

5. X. Wang, X. Tang, Random sampling LDA for face recognition. Proceedings of Computer Vision and Pattern Recognition (CVPR 2004), vol. 2, 2004, pp. 259–265.

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