664 search results - page 33 / 133 » Kernel Independent Component Analysis |
ICA
2007
Springer
13 years 11 months ago
2007
Springer
Independent Component Analysis (ICA) is a statistical method for expressing an observed set of random vectors as a linear combination of statistically independent components. This...
TNN
2008
13 years 7 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
NIPS
2008
13 years 9 months ago
2008
Object matching is a fundamental operation in data analysis. It typically requires the definition of a similarity measure between the classes of objects to be matched. Instead, we...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
In this paper, we introduce a method for estimating the statistically distinct neural responses in an sequence of functional magnetic resonance images (fMRI). The crux of our meth...