89 search results - page 1 / 18 » Fast Independent Component Analysis in Kernel Feature Spaces |
SOFSEM
2001
Springer
13 years 9 months ago
2001
Springer
ICIP
2005
IEEE
13 years 10 months ago
2005
IEEE
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...
JMLR
2002
13 years 4 months ago
2002
We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On th...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
CVPR
2006
IEEE
14 years 6 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...