Auto-Weighted Multi-View Discriminative Metric Learning Method With Fisher Discriminative and Global Structure Constraints for Epilepsy EEG Signal Classification-Reference-Cited by-同舟云学术

Auto-Weighted Multi-View Discriminative Metric Learning Method With Fisher Discriminative and Global Structure Constraints for Epilepsy EEG Signal Classification

Published:2020-09-29 Issue: Volume:14 Page:
ISSN:1662-453X
Container-title:Frontiers in Neuroscience
language:
Short-container-title:Front. Neurosci.

Author:

Xue Jing,Gu Xiaoqing,Ni Tongguang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Frontiers Media SA

Subject

General Neuroscience

Reference35 articles.

1. Motor imagery classification for brain computer interface using deep metric learning;Alwasiti;IEEE Access,2020

2. “Local metric learning for EEG-based personal identification,”;Cai,2015

3. LIBSVM: a library for support vector machines;Chang;ACM Trans. Intelligent Intellig. Syst. Technol.,2011

4. A sparse EEG-informed fMRI model for hybrid EEG-fMRI neurofeedback prediction;Cury;Front. Neurosci.,2019

5. Signal estimation from modified short-time fourier transform;Griffin;IEEE Trans. Acoustics Speech Signal Process.,1984

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