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Abstract

Alfons Juan, Enrique Vidal. Bernoulli mixture models for binary images. Proc. of the 17th Int. Conf. on Pattern Recognition (ICPR 2004), 2004.

Mixture modelling is a hot area in pattern recognition. Although most research in this area has focused on mixtures for continuous data, there are many pattern recognition tasks for which binary or discrete mixtures are better suited. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. Results are reported on a task of handwritten Indian digits.