Quantifying Uncertainty in High Dimensional Inverse Problems by Convex Optimisation.
Xiaohao CaiMarcelo PereyraJason D. McEwenPublished in: EUSIPCO (2019)
Keyphrases
- inverse problems
- convex optimisation
- high dimensional
- image reconstruction
- global optimization
- convex optimization
- parameter space
- semi definite programming
- optimization problems
- optimization methods
- low dimensional
- partial differential equations
- early vision
- dimensionality reduction
- high dimensional data
- feature space
- input space
- machine learning
- smoothness constraint
- evolutionary algorithm