Learning from small data sets: patch-based regularizers in inverse problems for image reconstruction (Q6664951)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Learning from small data sets: patch-based regularizers in inverse problems for image reconstruction |
scientific article; zbMATH DE number 7968739
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Learning from small data sets: patch-based regularizers in inverse problems for image reconstruction |
scientific article; zbMATH DE number 7968739 |
Statements
Learning from small data sets: patch-based regularizers in inverse problems for image reconstruction (English)
0 references
16 January 2025
0 references
computed tomography
0 references
generative neural networks
0 references
inpainting
0 references
inverse problems
0 references
Langevin Monte Carlo sampling
0 references
small data sets
0 references
super-resolution
0 references
uncertainty quantification
0 references
Wasserstein distances
0 references
zero-shot learning
0 references
0 references
0 references
0 references
0 references
0 references
