Reconciling Bayesian and Perimeter Regularization for Binary Inversion.
Oliver R. A. DunbarMatthew M. DunlopCharles M. ElliottViet Ha HoangAndrew M. StuartPublished in: SIAM J. Sci. Comput. (2020)
Keyphrases
- bayesian learning
- bayesian inference
- posterior probability
- generative model
- quadtree
- bayesian decision
- non binary
- bayesian networks
- convex hull
- data driven
- regularization parameter
- probability distribution
- feature selection
- image restoration
- bayesian analysis
- efficient optimization
- inverse problems
- parameter selection
- decision theory
- posterior distribution
- machine learning
- maximum entropy
- maximum likelihood
- image reconstruction