Unwrapping phases by relaxed mean field inference.
Kannan AchanBrendan J. FreyRalf KoetterDavid C. Munson Jr.Published in: ICASSP (2001)
Keyphrases
- belief networks
- bayesian inference
- loopy belief propagation
- probabilistic inference
- variational approximation
- em algorithm
- inference process
- markov random field
- exact inference
- closed form
- undirected graphical models
- graphical models
- markov chain monte carlo
- markov networks
- bayesian networks
- variational inference
- probability distribution
- posterior distribution
- inference engine
- random fields
- conditional probabilities
- efficient learning
- conditional random fields
- higher order
- least squares
- optimal solution
- variational bayes
- statistical mechanics
- neural network