Accelerating Markov Random Field Inference Using Molecular Optical Gibbs Sampling Units.
Siyang WangXiangyu ZhangYuxuan LiRamin BashizadeSong YangChris DwyerAlvin R. LebeckPublished in: ISCA (2016)
Keyphrases
- gibbs sampling
- markov random field
- parameter estimation
- belief propagation
- approximate inference
- dirichlet process mixture
- exact inference
- random fields
- graph cuts
- mrf model
- belief networks
- hierarchical bayesian
- conditional random fields
- energy function
- pairwise
- topic models
- higher order
- markov chain monte carlo
- image segmentation
- maximum a posteriori
- message passing
- markov chain
- em algorithm
- expectation maximization
- energy minimization
- latent dirichlet allocation
- posterior distribution
- least squares
- structure learning
- evolutionary algorithm
- variational methods
- sampling methods
- hidden markov models
- probabilistic model
- state space
- clustering algorithm