Tensor based simultaneous feature extraction and sample weighting for EEG classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6444 LNCS, Issue PART 2, 2010, Pages 26-33

  Washizawa, Yoshikazu ^a   Higashi, Hiroshi ^a,b   Rutkowski, Tomasz ^a   Tanaka, Toshihisa ^a,b   Cichocki, Andrzej ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

Author keywords

classification; Feature extraction; multi linear PCA; tensor decomposition

Indexed keywords

ACCURACY IMPROVEMENT; CLASSIFICATION; COMMON SPATIAL PATTERNS; EEG CLASSIFICATION; EEG SIGNALS; LINEAR PRINCIPAL COMPONENT; MULTI-LINEAR PCA; SAMPLE WEIGHTING; TENSOR DECOMPOSITION; MOTOR IMAGERY;

BRAIN COMPUTER INTERFACE; DATA PROCESSING; EXTRACTION; INTERFACES (COMPUTER); PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; TENSORS; BIOMEDICAL SIGNAL PROCESSING; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION;

FEATURE EXTRACTION; EXTRACTION;

EID: 78650184915     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17534-3_4     Document Type: Conference Paper

References (6)

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