Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems.
Daniel MacKinlayRussell TsuchidaDaniel Edward PagendamPetra KuhnertPublished in: CoRR (2024)
Keyphrases
- belief propagation
- efficient inference
- approximate inference
- graphical models
- markov random field
- factor graphs
- message passing
- high dimensional
- exact inference
- markov networks
- graph cuts
- probabilistic inference
- distributed systems
- energy function
- stereo matching
- pairwise
- probabilistic model
- variational methods
- probabilistic graphical models
- image segmentation
- gaussian process
- maximum margin
- conditional random fields
- input image
- feature space
- bayesian networks
- neural network