Advanced variations of two-dimensional principal component analysis for face recognition-Reference-Cited by-同舟云学术

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Advanced variations of two-dimensional principal component analysis for face recognition

Published:2021-09 Issue: Volume:452 Page:653-664
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhao Meixiang,Jia Zhigang,Cai Yunfeng,Chen Xiao,Gong Dunwei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference59 articles.

1. Two-dimensional PCA: A new approach to appearance-based face representation and recognition;Yang;IEEE Trans. Pattern Anal. Mach. Intell.,2004

2. (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition;Zhang;Neurocomputing,2005

3. L1-norm-based 2DPCA;Li;IEEE Trans. Syst., Man, Cybern. B, Cybern.,2010

4. 2DPCA with L1-norm for simultaneously robust and sparse modelling;Wang;Neural Netw.,2013

5. Generalized 2-D principal component analysis by Lp-norm for image analysis;Wang;IEEE Trans. Cybern.,2016

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