Accelerated Inference in Markov Random Fields via Smooth Riemannian Optimization.
Siyi HuLuca CarlonePublished in: CoRR (2018)
Keyphrases
- markov random field
- dual decomposition
- map inference
- random fields
- loopy belief propagation
- efficient inference
- belief propagation
- energy minimization
- piecewise constant functions
- parameter estimation
- graph cuts
- partition function
- image restoration
- smoothness prior
- maximum a posteriori
- image restoration and reconstruction
- factor graphs
- energy function
- pairwise
- mrf model
- graphical models
- undirected graphical models
- low level vision
- image segmentation
- higher order
- message passing
- textured images
- parameter learning
- markov networks
- exact inference
- potential functions
- conditional random fields
- map estimation
- computer vision
- probabilistic inference
- image labeling
- potts model
- maximum margin
- upper bound
- iterative conditional
- object recognition
- structured prediction