Deep segmentation networks using "simple" multi-layered graphical models.
Reid B. PorterBeate G. ZimmerPublished in: SSIAI (2016)
Keyphrases
- graphical models
- multi layered
- belief propagation
- approximate inference
- probabilistic networks
- probabilistic graphical models
- probabilistic inference
- probabilistic model
- random variables
- structure learning
- bayesian networks
- factor graphs
- nonparametric belief propagation
- markov networks
- conditional random fields
- segmentation method
- map inference
- level set
- loopy belief propagation
- message passing
- conditional independence
- statistical inference
- image segmentation
- exact inference
- graph structure
- belief networks
- network structure
- relational databases