Determining the convergence of variance in Gaussian belief propagation via semi-definite programming.
Qinliang SuYik-Chung WuPublished in: ISIT (2014)
Keyphrases
- belief propagation
- semi definite programming
- graphical models
- message passing
- markov random field
- graph cuts
- approximate inference
- stereo matching
- markov networks
- pairwise
- fixed point
- kernel matrix
- linear programming
- convex optimization
- lp relaxation
- maximum likelihood
- energy function
- combinatorial optimization
- convergence rate
- energy minimization
- free energy
- maximum margin
- semidefinite
- image processing
- probabilistic model
- input image
- convex relaxation
- support vector machine
- support vector
- dynamic programming
- feature selection
- parameter estimation
- least squares