A Variational Approach for Approximating Bayesian Networks by Edge Deletion.
Arthur ChoiAdnan DarwichePublished in: UAI (2006)
Keyphrases
- bayesian networks
- edge detection
- probabilistic reasoning
- probability distribution
- edge information
- learning bayesian networks
- naive bayes
- structure learning
- inference in bayesian networks
- multiscale
- weighted graph
- graphical models
- edge detector
- probabilistic inference
- edge preserving
- image sequences
- conditional independence
- hough transform
- probabilistic model
- approximate inference
- hidden variables
- incomplete data
- conditional probabilities
- variational methods
- multiple scales
- image segmentation
- probabilistic classifiers