We are interested in solving the multiple measurement vector (MMV) problem for instances, where the underlying sparsity pattern exhibit spatio-temporal structure motivated by the electroencephalogram (EEG) source localization problem. We propose a probabilistic model that takes this structure into account by generalizing the structured spike and slab prior and the associated Expectation Propagation inference scheme. Based on numerical experiments, we demonstrate the viability of the model and the approximate inference scheme.
@article{arxiv.1508.04556,
title = {Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems},
author = {Michael Riis Andersen and Ole Winther and Lars Kai Hansen},
journal= {arXiv preprint arXiv:1508.04556},
year = {2015}
}
Comments
6 pages, 6 figures, accepted for presentation at SPARS 2015