Learning as MAP Inference in Discrete Graphical Models.
Xianghang LiuJames PettersonTibério S. CaetanoPublished in: NIPS (2012)
Keyphrases
- graphical models
- map inference
- belief propagation
- probabilistic inference
- probabilistic model
- approximate inference
- probabilistic graphical models
- bayesian networks
- relational dependency networks
- conditional random fields
- learning algorithm
- random variables
- markov networks
- semantic segmentation
- graph structure
- structure learning
- parameter learning
- prior knowledge
- conditional independence
- markov random field
- image labeling