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New Riemannian metrics for speeding-up the convergence of over- and underdetermined ICA

Squartini, S. ; Theis, Fabian J.



Abstract

In this paper some alternative Riemannian metrics are defined on the parameter space of non-square matrices, corresponding to various translations defined therein. Such metrics allow the authors to derive novel learning rules for two ICA based algorithms for over-determined blind source separation (BSS), which tries to separate less sources from more sensors. Computer simulations show a ...

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