Scalable probabilistic gas distribution mapping using Gaussian belief propagation.
Callum RhodesCunjia LiuWen-Hua ChenPublished in: IROS (2022)
Keyphrases
- belief propagation
- graphical models
- factor graphs
- message passing
- graph cuts
- probabilistic model
- approximate inference
- markov random field
- belief networks
- random variables
- bayesian networks
- stereo matching
- gaussian distribution
- fixed point
- markov networks
- pairwise
- energy minimization
- probabilistic graphical models
- loopy belief propagation
- marginal distributions
- free energy
- probabilistic inference
- exact inference
- energy function
- probability distribution
- conditional probabilities
- conditional random fields
- generative model
- gaussian model
- latent variables
- stereo vision
- nonparametric belief propagation