Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis.
Chaohui WangNikos KomodakisHiroshi IshikawaOlga VekslerEndre BorosPublished in: Comput. Vis. Image Underst. (2016)
Keyphrases
- graphical models
- relational dependency networks
- undirected graphical models
- bayesian networks
- markov logic networks
- belief propagation
- exact inference
- probabilistic inference
- map inference
- probabilistic graphical models
- markov logic
- structure learning
- approximate inference
- probabilistic model
- statistical inference
- structural learning
- random variables
- factor graphs
- learning algorithm
- belief networks
- statistical relational learning
- variational methods
- loopy belief propagation
- efficient learning
- parameter learning
- markov networks
- statistical learning
- image segmentation