Enhanced active segment selection for single-trial EEG classification.
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Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.A Practical Approach Based on Analytic Deformable Algorithm for Scenic Image RegistrationSingle-trial EEG analysis using similarity measure.Artificial bee colony algorithm for single-trial electroencephalogram analysis.Application of quantum-behaved particle swarm optimization to motor imagery EEG classification.Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination.Independent component analysis and multiresolution asymmetry ratio for brain-computer interface.Embedded grey relation theory in Hopfield neural network: application to motor imagery EEG recognition.Embedded prediction in feature extraction: application to single-trial EEG discrimination.Improving classification accuracy of motor imagery EEG using genetic feature selection.
P2860
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P2860
Enhanced active segment selection for single-trial EEG classification.
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2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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name
Enhanced active segment selection for single-trial EEG classification.
@en
Enhanced active segment selection for single-trial EEG classification.
@nl
type
label
Enhanced active segment selection for single-trial EEG classification.
@en
Enhanced active segment selection for single-trial EEG classification.
@nl
prefLabel
Enhanced active segment selection for single-trial EEG classification.
@en
Enhanced active segment selection for single-trial EEG classification.
@nl
P2860
P356
P1476
Enhanced active segment selection for single-trial EEG classification.
@en
P2093
Wei-Yen Hsu
P2860
P356
10.1177/1550059412445051
P577
2012-04-16T00:00:00Z