Helsinki Institute for Information Technology

Self-Organization and Associative Memory

A Fast Fixed-Point Algorithm for Independent Component Analysis

We introduce a novel fast algorithm for independent component analysis, which can be used for blind source separation and feature extraction. We show how a neural network learni...

A class of neural networks for independent component analysis

Independent component analysis (ICA) is a recently developed, useful extension of standard principal component analysis (PCA). The ICA model is utilized mainly in blind separati...

Dense genomic sampling identifies highways of pneumococcal recombination

Independent component analysis by general nonlinear Hebbian-like learning rules

Gaussian moments for noisy independent component analysis

A novel approach for the problem of estimating the data model of independent component analysis (or blind source separation) in the presence of Gaussian noise is introduced. We ...

An Experimental Comparison of Neural ICA Algorithms