ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures
Dan LovellJonathan MalmaudRyan P. AdamsVikash K. MansinghkaPublished in: CoRR (2013)
Keyphrases
- image segmentation
- dirichlet process
- markov chain monte carlo
- mixture model
- expectation maximization
- parameter estimation
- posterior distribution
- generative model
- sampling algorithm
- markov chain
- monte carlo
- em algorithm
- posterior probability
- gaussian processes
- bayesian inference
- particle filter
- multi task learning
- bayesian model
- markov random field
- approximate inference
- bayesian framework
- probabilistic model
- gaussian mixture model
- model selection
- exponential family
- particle filtering
- simulated annealing
- object tracking
- variational methods
- multi task
- latent variables
- text mining
- probability distribution
- reinforcement learning
- bayesian networks