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 ...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
ISCAS
2005
IEEE
13 years 10 months ago
2005
IEEE
— Multidimensional or group independent component analysis describes the task of transforming a multivariate observed sensor signal such that groups of the transformed signal com...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. This paper derives a new algorithm that performs independent component analysis (ICA) by optimizing the contrast function of the RADICAL algorithm. The core idea of the p...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
A common problem in independent component analysis after prewhitening is to optimize some contrast on the orthogonal or unitary group. A popular approach is to optimize the contras...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
We consider Independent Component Analysis (ICA) for the case of binary sources, where addition has the meaning of the boolean “Exclusive Or” (XOR) operation. Thus, each mixtur...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Renyi’s entropy-based criterion has been proposed as an objective function for independent component analysis because of its relationship with Shannon’s entropy and i...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
ICA
2007
Springer
13 years 10 months ago
2007
Springer
FastICA is arguably one of the most widespread methods for independent component analysis. We focus on its deflation-based implementation, where the independent components are ext...