Independent component analysis by general nonlinear Hebbian-like learning rules

Estimating Overcomplete Independent Component Bases for Image Windows

Journal of Mathematical Imaging and Vision

An efficient multistage decomposition approach for independent components

Signal Processing

Blind Source Separation Using Principal Component Neural Networks

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

Dynamics of ICA for High-Dimensional Data

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Applying Independent Component Analysis to Factor Model in Finance

IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents

Stochastic trapping in a solvable model of on-line independent component analysis

Neural Computation

A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case

Neural Computation

Neural independent component analysis by 'maximum-mismatch' learning principle

Neural Networks

Statistical dynamics of on-line independent component analysis

The Journal of Machine Learning Research

Weather Data Mining Using Independent Component Analysis

The Journal of Machine Learning Research

Statistical dynamics of on-line independent component analysis

The Journal of Machine Learning Research

Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing

Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences

A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold

Neural Computation

Complexity Pursuit: Separating Interesting Components from Time Series

Neural Computation

Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures

Neural Computation

Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces

Neural Computation

Letters: Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation

Neurocomputing

A general contrast function based blind source separation method for convolutively mixed independent sources

Signal Processing

Synergies Between Intrinsic and Synaptic Plasticity Mechanisms

Neural Computation

Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks

Neural Processing Letters

Mixed image separation using fastICA

SIP'08 Proceedings of the 7th WSEAS International Conference on Signal Processing

FastICA algorithm for the separation of mixed images

WSEAS Transactions on Signal Processing

A Simple Adaptive Algorithm for Principle Component and Independent Component Analysis

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Spiking neurons can learn to solve information bottleneck problems and extract independent components

Neural Computation

Blind source separation with nonlinear autocorrelation and non-Gaussianity

Journal of Computational and Applied Mathematics

Convergence analysis of a class of Hyvärinen-Oja's ICA learning algorithms with constant learning rates

IEEE Transactions on Signal Processing

Spiking neurons can learn to solve information bottleneck problems and extract independent components

Neural Computation

Blind multiuser data estimation in asynchronous and unequal power DS-SS systems without any prior knowledge of spreading sequences

SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium

Letters: A fast fixed-point algorithm for complexity pursuit

Neurocomputing

An offline independent component analysis algorithm for colored sources

IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application

Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity

The Journal of Machine Learning Research

On the distance concentration awareness of certain data reduction techniques

Pattern Recognition

Noise-robust acoustic signature recognition using nonlinear Hebbian learning

Neural Networks

Learning slow features with reservoir computing for biologically-inspired robot localization

Neural Networks

An extended online Fast-ICA algorithm

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

Cross-talk induces bifurcations in nonlinear models of synaptic plasticity

Neural Computation

An unsupervised learning rule for class discrimination in a recurrent neural network

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I

Independent vector analysis for convolutive blind noncircular source separation

Signal Processing