Embedded prediction in feature extraction: application to single-trial EEG discrimination.
about
Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.Artificial bee colony algorithm for single-trial electroencephalogram analysis.Application of quantum-behaved particle swarm optimization to motor imagery EEG classification.Improving the Accuracy and Training Speed of Motor Imagery Brain-Computer Interfaces Using Wavelet-Based Combined Feature Vectors and Gaussian Mixture Model-Supervectors.Improving classification accuracy of motor imagery EEG using genetic feature selection.
P2860
Embedded prediction in feature extraction: application to single-trial EEG discrimination.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh-hant
name
Embedded prediction in feature ...... ngle-trial EEG discrimination.
@en
Embedded prediction in feature ...... ngle-trial EEG discrimination.
@nl
type
label
Embedded prediction in feature ...... ngle-trial EEG discrimination.
@en
Embedded prediction in feature ...... ngle-trial EEG discrimination.
@nl
prefLabel
Embedded prediction in feature ...... ngle-trial EEG discrimination.
@en
Embedded prediction in feature ...... ngle-trial EEG discrimination.
@nl
P2860
P356
P1476
Embedded prediction in feature ...... ngle-trial EEG discrimination.
@en
P2093
Wei-Yen Hsu
P2860
P356
10.1177/1550059412456094
P577
2012-12-17T00:00:00Z