Guaranteed Parameter Estimation for Discrete Energy Minimization.
Mengtian LiDaniel HuberPublished in: CoRR (2017)
Keyphrases
- parameter estimation
- energy minimization
- markov random field
- energy function
- graph cuts
- belief propagation
- problems in computer vision
- higher order
- random fields
- model selection
- image segmentation
- low level vision
- mrf model
- statistical models
- image restoration
- least squares
- pairwise
- global minimum
- active contour model
- maximum likelihood
- maximum a posteriori
- posterior distribution
- global minima
- conditional random fields
- approximate inference
- parameter estimation algorithm
- loopy belief propagation
- em algorithm
- global minimization
- markov chain monte carlo
- parameter estimates
- structure learning
- maximum likelihood estimation
- max flow min cut
- expectation maximization
- image processing
- energy minimization problems
- min cut max flow