Polytope samplers for inference in ill-posed inverse problems.
Edoardo M. AiroldiBertrand HaasPublished in: AISTATS (2011)
Keyphrases
- inverse problems
- image reconstruction
- global optimization
- convex optimization
- bayesian inference
- gibbs sampler
- regularization methods
- optimization methods
- optimization problems
- emission tomography
- regularization method
- partial differential equations
- markov chain monte carlo
- early vision
- image restoration problems
- random sampling
- bayesian networks
- smoothness constraint
- computationally expensive
- mutual information
- probabilistic model
- multiscale