Information-theoretic approach to blind separation of sources in non-linear mixture

Blind Source Separation and Equiprobabilistic Topographic Maps

Journal of VLSI Signal Processing Systems

Modeling MPEG Coded Video Traffic by Markov-Modulated Self-Similar Processes

Journal of VLSI Signal Processing Systems

Applying Neural Networks and Genetic Algorithms to the Separation of Sources

IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence

Neural Network Based Blind Source Separation of Non-linear Mixtures

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Kernel-based nonlinear blind source separation

Neural Computation

Exploratory analysis of fMRI data by fuzzy clustering: philosophy, strategy, tactics, implementation

Exploratory analysis and data modeling in functional neuroimaging

Misep—linear and nonlinear ICA based on mutual information

The Journal of Machine Learning Research

Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation

The Journal of Machine Learning Research

Three easy ways for separating nonlinear mixtures?

Signal Processing - Special issue on independent components analysis and beyond

Linear and nonlinear ICA based on mutual information: the MISEP method

Signal Processing - Special issue on independent components analysis and beyond

MISEP - Linear and nonlinear ICA based on mutual information

The Journal of Machine Learning Research

Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation

The Journal of Machine Learning Research

Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems

Signal Processing

A High Order Cumulants Based Multivariate Nonlinear Blind Source Separation Method

Machine Learning

Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures

Neural Computation

Blind image extraction from nonlinear mixtures using MLP-based ICA

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2

Independent Slow Feature Analysis and Nonlinear Blind Source Separation

Neural Computation

Information maximization in face processing

Neurocomputing

MISEP Method for Postnonlinear Blind Source Separation

Neural Computation

gpICA: a novel nonlinear ICA algorithm using geometric linearization

EURASIP Journal on Applied Signal Processing

Estimation of Source Signals Number and Underdetermined Blind Separation Based on Sparse Representation

Computational Intelligence and Security

Blind Source Separation in Post-nonlinear Mixtures Using Natural Gradient Descent and Particle Swarm Optimization Algorithm

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III

A computer-aided diagnosis system for breast cancer using independent component analysis and fuzzy classifier

Modelling and Simulation in Engineering - Modelling and simulation: computational intelligence in medicine

Using Signal Invariants to Perform Nonlinear Blind Source Separation

ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation

Initialisation of Nonlinearities for PNL and Wiener systems Inversion

IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods

A post nonlinear geometric algorithm for independent component analysis

Digital Signal Processing

Letters: Using batch algorithm for kernel blind source separation

Neurocomputing

Using state space differential geometry for nonlinear blind source separation

ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation

Hybrid mammogram classification using rough set and fuzzy classifier

Journal of Biomedical Imaging

Performing nonlinear blind source separation with signal invariants

IEEE Transactions on Signal Processing