Beyond independent components: trees and clusters
The Journal of Machine Learning Research
Three easy ways for separating nonlinear mixtures?
Signal Processing - Special issue on independent components analysis and beyond
Injecting noise for analysing the stability of ICA components
Signal Processing - Special issue on independent components analysis and beyond
Minimax mutual information approach for independent component analysis
Neural Computation
Beyond independent components: trees and clusters
The Journal of Machine Learning Research
A unifying model for blind separation of independent sources
Signal Processing
Blind component separation in wavelet space: application to CMB analysis
EURASIP Journal on Applied Signal Processing
Bayesian nonstationary source separation
Neurocomputing
Independent Component Analysis for Time-dependent Processes Using AR Source Model
Neural Processing Letters
Letters: Gaussian moments for noisy unifying model
Neurocomputing
Fast approximate joint diagonalization incorporating weight matrices
IEEE Transactions on Signal Processing
Research article: Estimating sufficient statistics in co-evolutionary analysis by mutual information
Computational Biology and Chemistry
Complexity Pursuit for Unifying Model
Neural Processing Letters
Maximum likelihood blind image separation using nonsymmetrical half-plane Markov random fields
IEEE Transactions on Image Processing
A flexible component model for precision ICA
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Blind separation of cyclostationary sources using joint block approximate diagonalization
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
IEEE Transactions on Signal Processing
Wavelet denoising as preprocessing stage to improve ICA performance in atrial fibrillation analysis
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Variational bayesian method for temporally correlated source separation
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
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