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• W2914824845 abstract "A bilevel training scheme is used to introduce a novel class of regularizers, providing a unified approach to standard regularizers TGV2 and NsTGV2 . Optimal parameters and regularizers are identified, and the existence of a solution for any given set of training imaging data is proved by Γ -convergence under a conditional uniform bound on the trace constant of the operators and a finite-null-space condition. Some first examples and numerical results are given." @default.
• W2914824845 created "2019-02-21" @default.
• W2914824845 creator A5006393097 @default.
• W2914824845 creator A5020315578 @default.
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• W2914824845 date "2023-03-03" @default.
• W2914824845 modified "2023-10-14" @default.
• W2914824845 title "Adaptive Image Processing: First Order PDE Constraint Regularizers and a Bilevel Training Scheme" @default.
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• W2914824845 doi "https://doi.org/10.1007/s00332-023-09902-4" @default.
• W2914824845 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36883103" @default.
• W2914824845 hasPublicationYear "2023" @default.
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