The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling.
Marshall F. TappenKegan G. G. SamuelCraig V. DeanDavid M. LylePublished in: CVPR (2008)
Keyphrases
- graphical models
- random fields
- markov random field
- belief propagation
- conditional random fields
- probabilistic model
- partition function
- parameter learning
- active learning
- undirected graphical models
- parameter estimation
- random variables
- structure learning
- approximate inference
- autoregressive
- probabilistic graphical models
- exact inference
- structured prediction
- factor graphs
- energy function
- graph cuts
- mrf models
- loopy belief propagation
- probabilistic inference
- markov networks
- hidden variables
- image segmentation
- maximum entropy
- stereo matching
- hidden markov models
- reinforcement learning