A probabilistic framework for learning robust common spatial patterns

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 4658-4661

  Wu, Wei ^a,b,c   Chen, Zhe ^a,c   Gao, Shangkai ^b   Brown, Emery N ^a,c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b TSINGHUA UNIVERSITY   (China)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; FEATURE EXTRACTION; MAXIMUM PRINCIPLE; MEDICAL APPLICATIONS; SIGNAL PROCESSING;

BIOMEDICAL APPLICATIONS; COMMON SPATIAL PATTERNS; EXPECTATION-MAXIMIZATION ALGORITHMS; FEATURE EXTRACTION ALGORITHMS; OVER FITTING PROBLEM; PHYSIOLOGICAL FEATURES; PROBABILISTIC FRAMEWORK; STUDENT-T DISTRIBUTION;

LEARNING ALGORITHMS;

EID: 77950979916     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5332646     Document Type: Conference Paper

References (12)

1. F. Fukunaga and W. Koontz, "Applications of the Karhunen- Loève expansion to feature selection and ordering," IEEE Trans. Comput., vol.19, pp. 311-318, 1970.
2. S. Zhang and T. Sim, "Discriminant subspace analysis: a Fukunaga- Koontz approach," IEEE Trans. Pattern Anal. Mach. Intell., vol.29, pp. 1732-1745, 2007.
3. X. Huo, "A statistical analysis of Fukunaga-Koontz transform," IEEE Signal Proc. Letters, vol.11, pp. 123-126, 2004.
4. Z. J. Koles, M. S. Lazar, and S. Z. Zhou, "Spatial patterns underlying population differences in the background EEG," Brain Topo., vol.2, pp. 275-284, 1990.
5. T. W. Anderson, An Introduction to Multivariate Statistical Analysis (3rd ed.), Wiley 2003.
6. K. L. Lange, R. J. A. Little, and J. M. G. Taylor, "Robust statistical modeling using the t-distribution," J. Ame. Stat. Assoc., vol.84, pp. 881-896, 1989.
7. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Stat. Soc. B, vol.39, pp. 1-38, 1977.
8. G. Pfurtscheller and A. Aranibar, "Event-related cortical desynchronization detected by power measurements of scalp EEG," Electroencephalogr. Clin. Neurophysiol., vol.42, pp. 817-826, 1977.
9. S. Lemm, B. Blankertz, G. Curio, and K.-R. Müller, "Spatio-spectral filters for improved classification of single trial EEG," IEEE Trans. Biomed. Eng., vol.52, pp. 1541-1548, 2005.
10. G. Dornhege, B. Blankertz, M. Krauledat, F. Losch, G. Curio, and K.-R. Müller, "Combined optimization of spatial and temporal filters for improving brain-computer interfacing," IEEE Trans. Biomed. Eng., vol.53, pp. 2274-2281, 2006.
11. R. Tomioka and K. Aihara, "Classifying matrices with a spectral regularization," in Proc. 24th Int. Conf. Machine Learning, ACM Press, pp. 895-902, 2007.
12. H. Attias, "A variational Bayesian framework for graphical models," in Adv. Neural Info. Proc. Syst. 12, pp. 209-215, 2000.