Learning of Graphical Models and Efficient Inference for Object Class Recognition.
Martin BergtholdtJörg H. KappesChristoph SchnörrPublished in: DAGM-Symposium (2006)
Keyphrases
- graphical models
- probabilistic inference
- approximate inference
- markov networks
- random variables
- belief propagation
- conditional random fields
- learning algorithm
- probabilistic model
- probabilistic graphical models
- exact inference
- factor graphs
- parameter learning
- active learning
- object recognition
- belief networks
- graph cuts
- bayesian networks