Certified dimension reduction in nonlinear Bayesian inverse problems.
Olivier ZahmTiangang CuiKody J. H. LawAlessio SpantiniYoussef M. MarzoukPublished in: Math. Comput. (2022)
Keyphrases
- dimension reduction
- inverse problems
- image reconstruction
- global optimization
- convex optimization
- manifold embedding
- principal component analysis
- singular value decomposition
- high dimensional
- low dimensional
- high dimensional data
- optimization methods
- linear discriminant analysis
- feature selection
- optimization problems
- feature extraction
- early vision
- feature space
- bayesian networks
- partial differential equations
- manifold learning
- dimensionality reduction
- high dimensionality
- unsupervised learning
- cluster analysis
- maximum likelihood
- denoising
- preprocessing
- microarray
- machine learning
- natural images