Bayesian inference and Markov chain Monte Carlo in imaging.
David M. HigdonJames E. BowsherPublished in: Medical Imaging: Image Processing (1999)
Keyphrases
- markov chain monte carlo
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- gibbs sampling
- bayesian model
- gibbs sampler
- variational bayes
- particle filter
- variational inference
- variational approximation
- exponential family
- markov networks
- conditional random fields
- em algorithm
- semi supervised
- learning algorithm