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Volumn , Issue , 2009, Pages 303-306

Subclass discriminant analysis using dynamic cluster formation for EEG-based brain-computer interface

Author keywords

Brain computer interface; Dynamic cluster formation; Feature extraction; Subclass discriminant analysis

Indexed keywords

BRAIN COMPUTER INTERFACE; CLASSIFICATION ACCURACY; DISCRIMINANT POWER; DYNAMIC CLUSTER FORMATION; EEG SIGNALS; HAND MOVEMENT; MAIN COMPONENT; OPTIMAL NUMBER; OPTIMAL SETS; RESTING STATE; SUBCLASS DISCRIMINANT ANALYSIS;

EID: 70350215740     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2009.5109293     Document Type: Conference Paper
Times cited : (5)

References (10)
  • 1
    • 70350248823 scopus 로고    scopus 로고
    • A minimax mutual information scheme for supervised feature extraction and its application to EEG-based brain-computer Interfacing
    • F. Oveisi, and A. Erfanian, "A minimax mutual information scheme for supervised feature extraction and its application to EEG-based brain-computer Interfacing," EURASIP Journal on Advances in Signal Processing, 2008.
    • (2008) EURASIP Journal on Advances in Signal Processing
    • Oveisi, F.1    Erfanian, A.2
  • 2
    • 33144458972 scopus 로고    scopus 로고
    • Efficient and Robust Feature Extraction by Maximum Margin Criterion
    • Jan
    • H. Li, T. Jiang, and K. Zhang, "Efficient and Robust Feature Extraction by Maximum Margin Criterion," IEEE Trans. Neural Networks, vol. 17, no. 1, pp. 157-1165, Jan. 2006.
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.1 , pp. 157-1165
    • Li, H.1    Jiang, T.2    Zhang, K.3
  • 4
    • 0242578110 scopus 로고    scopus 로고
    • Feature extraction based on ICA for binary classification problems
    • Nov/Dec
    • N. Kwak and C.-H. Choi, "Feature extraction based on ICA for binary classification problems," IEEE Trans. Knowledge and Data Engineering, vol. 15, no. 6, Nov/Dec 2003.
    • (2003) IEEE Trans. Knowledge and Data Engineering , vol.15 , Issue.6
    • Kwak, N.1    Choi, C.-H.2
  • 6
    • 3042673775 scopus 로고    scopus 로고
    • Linear dimensionality reduction via a heteroscedastic extension of LDA: The Chernoff criterion
    • R. P. W. Duin and M. Loog, "Linear dimensionality reduction via a heteroscedastic extension of LDA: the Chernoff criterion," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 732-739, 2004.
    • (2004) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.26 , Issue.6 , pp. 732-739
    • Duin, R.P.W.1    Loog, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.