12 search results - page 1 / 3 » Nonlinear Blind Source Separation by Integrating Independent... |
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...
ICA
2004
Springer
13 years 9 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 ...
ESANN
2004
13 years 5 months ago
2004
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
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...
ICCV
1999
IEEE
14 years 6 months ago
1999
IEEE
The technique of independent component analysis (ICA) is applied for texture feature detection. In ICA an optimal transformation (with respect to the statistical structure of the i...