83 search results - page 7 / 17 » Sigma-delta learning for super-resolution independent compon... |
IJON
1998
13 years 8 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
ICMLA
2008
13 years 10 months ago
2008
Independent Factor Analysis (IFA) is a well known method used to recover independent components from their linear observed mixtures without any knowledge on the mixing process. Su...
IDA
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Binary Factor Analysis (BFA) is a typical problem of Independent Component Analysis (ICA) where the signal sources are binary. Parameter learning and model selection in B...
BMCBI
2006
13 years 8 months ago
2006
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
ALT
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. We propose an independence criterion based on the eigenspectrum of covariance operators in reproducing kernel Hilbert spaces (RKHSs), consisting of an empirical estimate ...