Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
作者： Markus Svensén , Frithjof Kruggel , D. Yves von Cramon
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摘要: This paper considers the use of EM-algorithm, combined with mean field theory, for parameter estimation in Markov random models from unlabelled data. Special attention is given to theoretical justification this procedure, based on recent results machine learning literature. With these established, an example application technique analysis single trial functional magnetic resonance (fMR) imaging data human brain. The resulting model segments fMR images into regions different 'brain response' characteristics.
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