Inference and parameter estimation on hierarchical belief networks for image segmentation.
Christian WolfGérald GavinPublished in: Neurocomputing (2010)
Keyphrases
- belief networks
- parameter estimation
- markov random field
- image segmentation
- belief propagation
- expectation maximization
- probabilistic inference
- gibbs sampling
- exact inference
- graphical models
- least squares
- bayesian belief networks
- probability distribution
- maximum likelihood
- graph cuts
- random fields
- probabilistic reasoning
- model selection
- em algorithm
- approximate inference
- parameter estimation algorithm
- higher order
- posterior distribution
- energy function
- active contours
- conditional probabilities
- computer vision
- stochastic simulation
- inference in belief networks
- pairwise
- structure learning
- message passing
- multilayer perceptron
- level set
- markov fields
- random variables
- active learning