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ICPR
2004
IEEE

Bernoulli Mixture Models for Binary Images

14 years 4 months ago
Bernoulli Mixture Models for Binary Images
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. Key words: Mixture Models, EM Algorithm, Multivariate Bernoulli Distribution, Binary Data, Indian Digits
Alfons Juan, Enrique Vidal
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Alfons Juan, Enrique Vidal
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