Blind Source Separation Using Temporal Predictability
Neural Computation
Clustering with Bregman Divergences
The Journal of Machine Learning Research
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
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We review the technique of independent component analysis (ICA) and Stone's criterion for performing an independent component analysis. We then review Bregman divergences and show how they may be applied to Stone's criterion providing a very simple algorithm for performing ICA. We illustrate our method on two very simple data sets.