An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding.
Spiros NikolopoulosGeorgios Th. PapadopoulosIoannis KompatsiarisIoannis PatrasPublished in: MLDM (2009)
Keyphrases
- image understanding
- probabilistic inference
- bucket elimination
- graphical models
- computer vision
- bayesian networks
- conditional probabilities
- image annotation
- belief networks
- message passing
- influence diagrams
- bayesian belief networks
- weighted model counting
- semi supervised
- object recognition
- image segmentation
- context specific independence
- machine learning