Sciweavers

Share
EMMCVPR
1999
Springer

Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm

9 years 10 months ago
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention is given to the theoretical justification for this procedure, based on recent results from the machine learning literature. With these results established, an example is given of the application of this technique for analysis of single trial functional magnetic resonance (fMR) imaging data of the human brain. The resulting model segments fMR images into regions with different ‘brain response’ characteristics.
Markus Svensén, Frithjof Kruggel, D. Yves v
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where EMMCVPR
Authors Markus Svensén, Frithjof Kruggel, D. Yves von Cramon
Comments (0)
books