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Volumn , Issue , 2011, Pages 188-191

A new feature dimensionally reduction approach based on general tensor discriminant analysis in EEG signal classification

Author keywords

EEG; feature extraction; Gabor functions; General Tensor Discriminant Analysis (GTDA); ICA; LDA; PCA

Indexed keywords

CLASSIFICATION PERFORMANCE; COMMON FEATURES; DIMENSIONALLY REDUCTION; EEG SIGNAL CLASSIFICATION; EEG SIGNALS; ELECTROENCEPHALOGRAM SIGNALS; GABOR FUNCTION; GENERAL TENSOR DISCRIMINANT ANALYSIS; LDA; LINEAR DISCRIMINANT ANALYSIS; MEDICINE APPLICATION; MENTAL TASKS; PCA; PROJECTION VECTORS; TEMPORAL DOMAIN; THIRD-ORDER TENSORS;

EID: 84856827087     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBMI.2011.32     Document Type: Conference Paper
Times cited : (7)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.