Bayesian variational regularization on the ball.
Matthew A. PriceJason D. McEwenPublished in: CoRR (2021)
Keyphrases
- variational formulation
- variational framework
- image segmentation
- bayesian estimation
- dirichlet process mixture models
- robust statistics
- data driven
- maximum likelihood
- smoothness term
- regularization methods
- regularization term
- total variation regularization
- posterior probability
- bayesian inference
- energy functional
- gaussian processes
- bayesian learning
- level set
- optical flow
- computer vision
- bayesian networks
- optical flow computation
- posterior distribution
- prior information
- missing data
- loss function