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- W1807154454 abstract "Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specifically, six EM initialisation techniques are described and empirically compared on a classification task of handwritten Indian digits. Somehow surprisingly, we have found that a relatively good initialisation for Bernoulli prototypes is to use slightly perturbed versions of the hypercube centre." @default.
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- W1807154454 date "2004-01-01" @default.
- W1807154454 modified "2023-10-14" @default.
- W1807154454 title "EM Initialisation for Bernoulli Mixture Learning" @default.
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- W1807154454 doi "https://doi.org/10.1007/978-3-540-27868-9_69" @default.
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