The idea behind the Pairwise Mixture Model (PMM) we propose in this work is to classify simultaneously two sets of observations by introducing a joint prior between the two corresponding classifications and some inter-dependence between the two observations. We address the Bayesian restoration of PMM using either MPM or MAP criteria, and an EM-based… (More)

Statistical analysis of finite mixture distributions

D. M. Titterington, A.F.M. Smith, U. E. Makov

Probability and Statistics. John Wiley,

1985

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@article{Derrode2011UnsupervisedRI,
title={Unsupervised restoration in Gaussian Pairwise Mixture Model},
author={St{\'e}phane Derrode and Wojciech Pieczynski},
journal={2011 19th European Signal Processing Conference},
year={2011},
pages={854-858}
}