Variational posterior distribution approximation in bayesian emission tomography reconstruction using a gamma mixture prior.
Rafael MolinaAntonio LópezJosé Manuel MartínAggelos K. KatsaggelosPublished in: VISAPP (Special Sessions) (2007)
Keyphrases
- emission tomography
- posterior distribution
- maximum a posteriori
- image reconstruction
- free energy
- dirichlet process
- prior distribution
- variational approximation
- edge preserving
- variational inference
- bayesian model
- hyperparameters
- bayesian framework
- bayesian learning
- prior model
- markov chain monte carlo
- inverse problems
- latent variables
- probability distribution
- fully bayesian
- gaussian distribution
- super resolution
- expectation maximization
- parameter estimation
- conjugate priors
- posterior probability
- reconstruction process
- prior information
- optical flow
- model averaging
- bayesian inference
- closed form
- computer vision
- gaussian process
- multiscale
- prior knowledge
- markov random field
- em algorithm
- mixture model
- topic models
- cross validation
- noise reduction