Efficient Graphical Models for Processing Images.
Marshall F. TappenBryan C. RussellWilliam T. FreemanPublished in: CVPR (2) (2004)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- input image
- approximate inference
- object recognition
- probabilistic graphical models
- bayesian networks
- structure learning
- image retrieval
- conditional random fields
- factor graphs
- probabilistic inference
- conditional independence
- segmentation method
- map inference
- statistical inference
- markov networks
- structural learning
- graph structure
- latent variables
- image set
- image features
- probability distribution