Bernoulli Mixture Models for Binary Images

Authors:
Alfons Juan;Enrique Vidal
Affiliations:
DSIC, Universitat Politècnica de València, Spain;DSIC, Universitat Politècnica de València, Spain
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Year:
2004

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Abstract

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.