Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds.
John HarlimDaniel Sanz-AlonsoRuiyi YangPublished in: CoRR (2019)
Keyphrases
- kernel methods
- inverse problems
- partial differential equations
- image reconstruction
- global optimization
- feature space
- kernel function
- support vector
- convex optimization
- kernel matrix
- optimization problems
- machine learning
- optimization methods
- support vector machine
- reproducing kernel hilbert space
- smoothness constraint
- early vision
- high dimensional
- image denoising
- euclidean space
- gaussian processes
- neural network
- level set
- image enhancement
- optical flow
- evolutionary algorithm
- multiscale
- image segmentation