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ssmm's Introduction

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 ([email protected])

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

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