Marques and Almeida [9] recently proposed a nonlinear data seperation technique based on the maximum entropy principle of Bell and Sejnowsky. The idea behind is a pattern repulsion model alluding to repulsion of physical particles in a restricted system which leads to a uniform distribution, hence a maximum entropy, under certain conditions to the energy function. In this paper, we wan t to revisite their model and give a rigorous mathematical framework in which this algorithm indeed converges to a demixing function. © Springer-Verlag Berlin Heidelberg 2001.
CITATION STYLE
Theis, F. J., Bauer, C., Puntonet, C., & Lang, E. W. (2001). Pattern repulsion revisited. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2085 LNCS, pp. 778–785). Springer Verlag. https://doi.org/10.1007/3-540-45723-2_94
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