Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems.
Yingzhi XiaNicholas ZabarasPublished in: CoRR (2021)
Keyphrases
- generative model
- inverse problems
- multiscale
- high dimensional
- probabilistic model
- bayesian framework
- em algorithm
- convex optimization
- image reconstruction
- image processing
- semi supervised
- low dimensional
- scale space
- expectation maximization
- topic models
- maximum likelihood
- optimization problems
- image segmentation
- global optimization
- dimensionality reduction
- wavelet transform
- optimization methods
- early vision