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NECO
2002
54views more  NECO 2002»
13 years 4 months ago
Independent Components of Magnetoencephalography: Localization
Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. ...
NN
2000
Springer
159views Neural Networks» more  NN 2000»
13 years 5 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
IJCNN
2000
IEEE
13 years 9 months ago
ICA for Noisy Neurobiological Data
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
Shiro Ikeda, Keisuke Toyama
CIN
2010
55views more  CIN 2010»
13 years 8 days ago
Independent Component Analysis for Source Localization of EEG Sleep Spindle Components
Errikos M. Ventouras, Periklis Y. Ktonas, Hara Tse...
ICIP
2005
IEEE
13 years 11 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta