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Robust Support Matrix Machine for Single Trial EEG Classification

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The code is created based on the method described in the following paper

[1] Zheng, Qingqing, Fengyuan Zhu, and Pheng-Ann Heng. "Robust Support Matrix Machine for Single Trial EEG Classification." IEEE Transactions on Neural Systems and Rehabilitation Engineering 26.3 (2018): 551-562.

The code and the algorithm are for non-comercial use only.

Author: Qingqing Zheng ([email protected])

Date : 07/09/2018

Version : 1.0

Copyright 2018, The Chinese University of Hong Kong.

This folder contains the following files:

RSMM.pdf : The paper

libqp : library for quadratic programming

binary_rsmm_demo.m : a demo for binary matrix classification

multi_rsmm_demo.m : a demo for multiclass matrix classification

SparLR_ADMM.m : the robust support matrix machine (Algorithm 1 in paper)

rpca.m : feature recovery in paper

shrinkage.m : proximal operator for low rank

multi_prediction.m : multiclass evaluation

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