Region-based Energy Neural Network for Approximate Inference.
Dong LiuRagnar ThobabenLars K. RasmussenPublished in: CoRR (2020)
Keyphrases
- approximate inference
- neural network
- graphical models
- belief propagation
- probabilistic inference
- exact inference
- parameter estimation
- gaussian process
- variational methods
- energy minimization
- bayesian networks
- message passing
- dynamic bayesian networks
- latent variables
- loopy belief propagation
- factor graphs
- conditional random fields
- back propagation
- expectation propagation
- artificial neural networks
- neural network model
- markov random field
- probabilistic model
- image segmentation
- free energy
- random variables
- higher order
- structured prediction
- post processing
- multilayer perceptron
- multi view
- image retrieval
- pairwise
- feature selection
- machine learning