Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers.
Bruno ConejoNikos KomodakisSébastien LeprinceJean-Philippe AvouacPublished in: NIPS (2014)
Keyphrases
- graphical models
- coarse to fine
- probabilistic inference
- bayesian networks
- map inference
- probabilistic model
- learning algorithm
- undirected graphical models
- multiscale
- belief propagation
- reinforcement learning
- exact inference
- random variables
- object detection
- multiresolution
- loopy belief propagation
- factor graphs
- relational dependency networks
- image segmentation
- image registration
- dynamic programming
- high resolution
- probabilistic graphical models
- training set
- training data
- markov random field
- markov networks
- structure learning
- structured prediction
- support vector
- efficient inference algorithms
- image processing