Unsupervised restoration in Gaussian Pairwise Mixture Model


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)


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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} }