Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
Richard G. EverittPublished in: CoRR (2012)
Keyphrases
- parameter estimation
- markov random field
- posterior distribution
- bayesian model selection
- maximum likelihood
- markov chain monte carlo
- random fields
- maximum a posteriori
- graph cuts
- energy function
- belief propagation
- image restoration
- higher order
- mrf model
- image segmentation
- latent variables
- markov fields
- pairwise
- conditional random fields
- parameter estimation algorithm
- bayesian networks
- prior model
- approximate inference
- maximum likelihood estimation
- gibbs sampling
- partition function
- parameter learning
- textured images
- em algorithm
- gauss markov random fields
- least squares
- bayesian inference
- message passing
- expectation maximization