Maximum persistency via iterative relaxed inference with graphical models.
Alexander ShekhovtsovPaul SwobodaBogdan SavchynskyyPublished in: CVPR (2015)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- belief propagation
- bayesian networks
- belief networks
- undirected graphical models
- factor graphs
- loopy belief propagation
- probabilistic model
- approximate inference
- random variables
- nonparametric belief propagation
- efficient inference algorithms
- probabilistic graphical models
- directed graphical models
- collective classification
- statistical inference
- possibilistic networks
- conditional random fields
- markov networks
- statistical relational learning
- conditional independence
- structure learning
- probabilistic networks
- bayesian inference
- generalized belief propagation
- relational dependency networks
- probabilistic reasoning
- graphical structure
- graph structure
- inference process
- marginal probabilities
- markov logic networks
- variational methods
- generative model
- statistical models