Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks.
Sourour AmmarPhilippe LerayBoris DefournyLouis WehenkelPublished in: ECSQARU (2009)
Keyphrases
- markov networks
- probability density estimation
- structured output
- graphical models
- belief propagation
- maximum margin
- maximum likelihood
- bayesian inference
- first order logic
- probabilistic model
- conditional random fields
- bayesian networks
- markov random field
- conditional probabilities
- posterior probability
- structured prediction
- latent variables
- point set registration
- biased sampling
- image processing
- hidden variables
- document classification
- higher order
- hidden markov models
- prior knowledge
- high dimensional
- object recognition
- three dimensional