Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model.
Jordan FréconNelly PustelnikNicolas DobigeonHerwig WendtPatrice AbryPublished in: ICASSP (2017)
Keyphrases
- regularization parameter
- potts model
- image restoration
- cross validation
- max flow
- prior distribution
- markov random field
- hyperparameters
- cellular automata
- bayesian inference
- sample size
- prior information
- reaction diffusion
- image processing
- semi supervised
- maximum likelihood
- prior knowledge
- feature selection
- support vector
- bayesian estimation