SSMM
The code is created based on the method described in the following paper
[1] Zheng, Q., Zhu, F., Qin, J., Chen, B., & Heng, P. A. (2018). Sparse Support Matrix Machine. Pattern Recognition, 76, 715-726.
The code and the algorithm are for non-comercial use only.
Author: Qingqing Zheng (qqzheng@cse.cuhk.edu.hk)
Date : 02/20/2018
Version : 1.0
Copyright 2018, The Chinese University of Hong Kong.
This folder contains the following files:
SSMM_GFW.m : the sparse support matrix machine (Algorithm 1 in paper)
smoothinge_gradient.m : step 3 in Algorithm 1 in paper
shrinkage.m : proximal operator for low rank
demo_binary_caltech_lbp.m: a simple demo for binary classification
CaltechFace_LBP.mat : the data in mat format for demo