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
[email protected]
[email protected]
2013-6-15 20:17:43