Sciweavers

141 search results - page 1 / 29
» Independent Components of Magnetoencephalography: Localizati...
Sort
View
NECO
2002
54views more  NECO 2002»
14 years 11 months ago
Independent Components of Magnetoencephalography: Localization
Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. ...
NN
2000
Springer
159views Neural Networks» more  NN 2000»
14 years 11 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
15 years 4 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»
14 years 6 months ago
Independent Component Analysis for Source Localization of EEG Sleep Spindle Components
Errikos M. Ventouras, Periklis Y. Ktonas, Hara Tse...
ICIP
2005
IEEE
15 years 5 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