55 search results - page 1 / 11 » Nonlinear independent component analysis with minimal nonlin... |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
ASPDAC
2009
ACM
13 years 11 months ago
2009
ACM
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
NIPS
2004
13 years 5 months ago
2004
In contrast to the equivalence of linear blind source separation and linear independent component analysis it is not possible to recover the original source signal from some unkno...
JCP
2007
13 years 4 months ago
2007
—In this paper, a neural network solution to extract independent components from nonlinearly mixed signals is proposed. Firstly, a structurally constrained mixing model is introd...