Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds.
John HarlimDaniel Sanz-AlonsoRuiyi YangPublished in: SIAM/ASA J. Uncertain. Quantification (2020)
Keyphrases
- kernel methods
- inverse problems
- partial differential equations
- image reconstruction
- feature space
- global optimization
- convex optimization
- kernel function
- support vector
- optimization methods
- support vector machine
- machine learning
- optimization problems
- early vision
- kernel matrix
- neural network
- kernel pca
- reproducing kernel hilbert space
- data mining
- image segmentation
- image denoising
- level set
- decision trees
- data sets
- feature vectors