Nonnegative matrix factorization for motor imagery EEG classification

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

Volumn 4132 LNCS - II, Issue , 2006, Pages 250-259

  Lee, Hyekyoung ^a   Cichocki, Andrzej ^b   Choi, Seungjin ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; FEATURE EXTRACTION; MATRIX ALGEBRA; NATURAL FREQUENCIES;

MOTOR IMAGERY; NONNEGATIVE MATRIX FACTORIZATION (NMF); TIME FREQUENCY;

ELECTROENCEPHALOGRAPHY;

EID: 33749865214     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_26     Document Type: Conference Paper

References (12)

1. Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain-computer interfaces for communication and control. Clinical Neurophysiology 113 (2002) 767-791
2. Ebrahimi, T., Vesin, J.F., Garcia, G.: Brain-computer interface in multimedia communication. IEEE Signal Processing Magazine 20 (2003) 14-24
3. Lai, T.N., Schroder, M., Hinterberger, T., Weston, J., Bogdan, M., Birbaumer, N., Schölkopf, B.: Support vector channel selection in BCI. Technical Report 120, Max Planck Institute for Biological Cybernetics (2003)
4. Cichocki, A., Zdunek, R., Amari, S.: Csiszár's divergences for non-negative matrix factorization: Family of new algorithms. In: Proc. Int'l Conf. Independent Component Analysis and Blind Signal Separation, Charleston, South Carolina (2006)
5. Cichocki, A., Zdunek, R., Amari, S.: New algorithms for non-negative matrix factorization in applications to blind source separation. In: Proc. IEEE Int'l Conf. Acoustics, Speech, and Signal Processing, Toulouse, France (2006)
6. Cichocki, A., Choi, S.: Nonnegative matrix factorization with α-divergence. Pattern Recognition Letters (2006) submitted.
7. Lemm, S., Schäfer, C., Curio, G.: BCI competition 2003-data set III: Probabilistic modeling of sensorimotor μ, rhythms for classification of imaginary hand movements. IEEE Trans. Biomedical Engineering 51 (2004)
8. Paatero, P., Tapper, U.: Least squares formulation of robust non-negative factor analysis. Chemometrics Intelligent Laboratory Systems 37 (1997) 23-35
9. Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401 (1999) 788-791
10. Lee, D.D., Seung, H.S.: Algorithms for non-negative matrix factorization. In: Advances in Neural Information Processing Systems. Volume 13., MIT Press (2001)
11. Blankertz, B., Müller, K.R., Curio, G., Vaughan, T.M., Schalk, G., Wolpaw, J.R., Schlögl, A., Neuper, C., Pfurtscheller, G., Hinterberger, T., Schroder, M., Birbaumer, N.: The BCI competition 2003: Progress and perspectives in detection and discrimination of EEG single trials. IEEE Trans. Biomedical Engineering 51 (2004)
12. Hoyer, P.O.: Non-negative matrix factorization with sparseness constraints. Journal of Machine Learning Research 5 (2004) 1457-1469