Variational Inference for Computational Imaging Inverse Problems.
Francesco TonoliniJack RadfordAlex TurpinDaniele FaccioRoderick Murray-SmithPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- inverse problems
- variational inference
- global optimization
- image reconstruction
- bayesian inference
- convex optimization
- gaussian process
- probabilistic model
- optimization methods
- topic models
- mixture model
- posterior distribution
- variational methods
- latent dirichlet allocation
- high resolution
- probabilistic graphical models
- image processing
- closed form
- image analysis
- computer vision
- particle swarm optimization
- optimization problems
- early vision