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
drpengsong/2DPCAL1-S
Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.
MATLABGPL-3.0