Optimizing Edge Weights for Distributed Inference with Gaussian Belief Propagation.
Brendan HalloranPrashan PremaratnePeter James VialPublished in: ICIC (1) (2018)
Keyphrases
- belief propagation
- loopy belief propagation
- graphical models
- edge weights
- factor graphs
- message passing
- markov random field
- graph cuts
- max product
- probabilistic inference
- approximate inference
- stereo matching
- bipartite graph
- distributed systems
- pairwise
- weighted graph
- bayesian networks
- free energy
- directed graph
- energy function
- probabilistic model
- image segmentation
- spanning tree
- shortest path
- graph structure
- upper bound
- denoising
- higher order