Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm.
Markus SvensénFrithjof KruggelD. Yves von CramonPublished in: EMMCVPR (1999)
Keyphrases
- markov random field
- em algorithm
- maximum a posteriori
- expectation maximization
- parameter estimation
- mixture model
- maximum likelihood
- mrf model
- higher order
- image segmentation
- graph cuts
- generative model
- gaussian mixture model
- loopy belief propagation
- pairwise
- belief propagation
- maximum likelihood estimation
- energy function
- parameter learning
- random fields
- conditional random fields
- energy minimization
- prior model
- map estimation
- hidden variables
- variational approximation
- incomplete data
- message passing
- markov networks
- probability density function
- bayesian framework
- hyperparameters
- gibbs sampling
- similarity measure
- partition function
- posterior distribution
- posterior probability
- motion estimation
- generalized gaussian
- computer vision