Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping.
Guangyao ZhouWolfgang LehrachAntoine DedieuMiguel Lázaro-GredillaDileep GeorgePublished in: CoRR (2021)
Keyphrases
- graphical models
- perceptual grouping
- probabilistic inference
- probabilistic model
- bayesian networks
- random variables
- belief propagation
- approximate inference
- conditional random fields
- markov networks
- probabilistic graphical models
- superpixels
- image segmentation
- conditional independence
- structure learning
- belief networks
- object segmentation
- exact inference
- graph structure
- expectation maximization
- multiscale
- factor graphs
- conditional probabilities
- text classification
- machine learning
- bayesian belief networks