Pattern Repulsion Revisited

نویسندگان

  • Fabian J. Theis
  • Christoph Bauer
  • Carlos García Puntonet
  • Elmar Wolfgang Lang
چکیده

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 want to revisite their model and give a rigorous mathematical framework in which this algorithm indeed converges to a demixing function.

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تاریخ انتشار 2001