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