Nonlinear independent component analysis: existence and uniqueness results

A Functional-Neural Network for Post-Nonlinear Independent Component Analysis

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Image denoising using self-organizing map-based nonlinear independent component analysis

Neural Networks - New developments in self-organizing maps

Kernel-based nonlinear blind source separation

Neural Computation

Misep—linear and nonlinear ICA based on mutual information

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

A new concept for separability problems in blind source separation

Neural Computation

MISEP - Linear and nonlinear ICA based on mutual information

The Journal of Machine Learning Research

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

What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?

Neural Computation

Kernel Methods for Measuring Independence

The Journal of Machine Learning Research

An information theoretic approach to a novel nonlinear independent component analysis paradigm

Signal Processing - Special issue: Information theoretic signal processing

Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing

Journal of VLSI Signal Processing Systems

Independent component analysis in signals with multiplicative noise using fourth-order statistics

Signal Processing

Independent Slow Feature Analysis and Nonlinear Blind Source Separation

Neural Computation

Nonlinear independent component analysis with minimal nonlinear distortion

Proceedings of the 24th international conference on Machine learning

Optimizing blind source separation with guided genetic algorithms

Neurocomputing

Blind separation of nonlinear mixtures by variational Bayesian learning

Digital Signal Processing

Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis

Journal of VLSI Signal Processing Systems

MISEP Method for Postnonlinear Blind Source Separation

Neural Computation

gpICA: a novel nonlinear ICA algorithm using geometric linearization

EURASIP Journal on Applied Signal Processing

Channel selection and feature projection for cognitive load estimation using ambulatory EEG

Computational Intelligence and Neuroscience - EEG/MEG Signal Processing

2008 Special Issue: A regularized kernel CCA contrast function for ICA

Neural Networks

Noise separation in analog integrated circuits using independent component analysis technique

Integrated Computer-Aided Engineering

Neural-Based Separating Method for Nonlinear Mixtures

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

Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS

Neural Information Processing

Wavelet-based separation of nonlinear show-through and bleed-through image mixtures

Neurocomputing

Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations

Signal Processing

Adaptive improved natural gradient algorithm for blind source separation

Neural Computation

Using Signal Invariants to Perform Nonlinear Blind Source Separation

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

Evolutionary Algorithm Using Mutual Information for Independent Component Analysis

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

Blind separation of linear-quadratic mixtures of real sources using a recurrent structure

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

An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing

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

Nonlinear extraction of independent components of natural images using radial gaussianization

Neural Computation

Bayesian separation of images modeled with MRFs using MCMC

IEEE Transactions on Image Processing

A post nonlinear geometric algorithm for independent component analysis

Digital Signal Processing

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

Kernel-based nonlinear independent component analysis

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

ICA based automatic segmentation of dynamic H215 O cardiac PET images

IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering

Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion

Neurocomputing

Performing nonlinear blind source separation with signal invariants

IEEE Transactions on Signal Processing

Blind source separation of overdetermined linear-quadratic mixtures

LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation

Post-nonlinear blind source separation using neural networks with sandwiched structure

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

Employing spatially constrained ICA and wavelet denoising, for automatic removal of artifacts from multichannel EEG data

Signal Processing

Combining nonlinear independent component analysis and neural network for the prediction of Asian stock market indexes

Expert Systems with Applications: An International Journal

Post-nonlinear blind source separation using wavelet neural networks and particle swarm optimization

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II

A recurrent ICA approach to a novel BSS convolutive nonlinear problem

WIRN'05 Proceedings of the 16th Italian conference on Neural Nets

Nonlinear separation of show-through image mixtures using a physical model trained with ICA

Signal Processing

Nonlinear blind source separation using hybrid neural networks

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

Assessing the performance of several fitness functions in a genetic algorithm for nonlinear separation of sources

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III

Analysis of variance of three contrast functions in a genetic algorithm for non-linear blind source separation

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Nonlinearities and adaptation of color vision from sequential principal curves analysis

Neural Computation

Integration of nonlinear independent component analysis and support vector regression for stock price forecasting

Neurocomputing

Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations

Signal Processing