28 search results - page 2 / 6 » Post-nonlinear Independent Component Analysis by Variational... |
NIPS
2007
13 years 6 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...
ESANN
2007
13 years 6 months ago
2007
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
CSDA
2007
13 years 4 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
ICA
2007
Springer
13 years 6 months ago
2007
Springer
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
ICCV
1999
IEEE
13 years 8 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...