Momentum-Space Renormalization Group Transformation in Bayesian Image Modeling by Gaussian Graphical Model.
Kazuyuki TanakaMasamichi NakamuraShun KataokaMasayuki OhzekiMuneki YasudaPublished in: CoRR (2018)
Keyphrases
- graphical models
- input image
- bayesian networks
- belief propagation
- approximate inference
- image segmentation
- probabilistic graphical models
- random variables
- statistical inference
- conditional random fields
- segmentation method
- probabilistic model
- image retrieval
- maximum likelihood
- energy function
- similarity measure
- image matching
- high resolution
- posterior probability
- belief networks
- probabilistic inference
- markov networks
- structure learning
- map inference
- exact inference
- pairwise
- dynamic bayesian networks
- gaussian distribution
- probability density function
- prior information
- image processing
- information extraction
- parameter estimation