/2DPCAL1-S

Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.

Primary LanguageMATLABGNU General Public License v3.0GPL-3.0

2DPCA with L1-norm for simultaneously robust and sparse modelling
Copyright (C) 2013 Jing Wang

Comparsion of five dimensionality reduction algorithms in face
classification and reconstruction. The five algorithms are: PCA, PCA-L1,
2DPCA, 2DPCA-L1, 2DPCAL1-S. Classifier is chosen to be Nearest Neighbor(NN).

Reference:
Haixian Wang and Jing Wang, "2DPCA with L1-norm for simultaneously robust 
and sparse modelling," Neural Networks, vol. 46, no. 0, pp. 190-198, 2013.

Usage:
Run demo.m.

Contact information:
Jing Wang
wangjing0@seu.edu.cn 
yuzhounh@163.com

2013-6-15 20:17:43