Fitting multiple projective models using clustering-based Markov chain Monte Carlo inference.
George TerzakisPhil F. CulverhouseGuido BugmannRobert SuttonPublished in: Image Vis. Comput. (2015)
Keyphrases
- markov chain monte carlo
- parameter estimation
- markov chain
- generative model
- gibbs sampling
- gibbs sampler
- posterior distribution
- bayesian inference
- monte carlo
- random fields
- bayesian framework
- posterior probability
- particle filter
- computer vision
- incremental learning
- probabilistic model
- hidden markov models
- bayesian networks
- model selection
- latent variables
- markov random field
- semi supervised
- particle filtering
- support vector
- feature selection
- machine learning
- markov chain monte carlo sampling