Unsupervised restoration in Gaussian Pairwise Mixture Model

Abstract

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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Cite this paper

@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} }