141 search results - page 3 / 29 » Independent Components of Magnetoencephalography: Localizati... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In the independent component analysis, polynomial functions of higher order statistics are often used as cost functions. However, such cost functions usually have many local minim...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
NIPS
2007
13 years 8 months ago
2007
Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but o...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
NIPS
2004
13 years 8 months ago
2004
In this paper, linear multilayer ICA (LMICA) is proposed for extracting independent components from quite high-dimensional observed signals such as large-size natural scenes. Ther...