Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations.
Theodora ChaspariAndreas TsiartasPanagiotis TsilifisShrikanth S. NarayananPublished in: IEEE Trans. Signal Process. (2016)
Keyphrases
- markov chain monte carlo
- variational approximation
- exact computation
- bayesian inference
- generative model
- parameter estimation
- markov chain
- gibbs sampling
- posterior distribution
- approximate inference
- expectation propagation
- posterior probability
- monte carlo
- particle filter
- markov chain monte carlo sampling
- graphical models
- gibbs sampler
- variational bayes
- sparse representation
- data association
- higher order
- probability distribution
- bayesian networks
- closed form
- gaussian distribution
- gaussian mixture model
- multi task
- image reconstruction
- simulated annealing
- image sequences