Using generalized cross validation to select regularization parameter for total variation regularization problems

Research article (Inverse Problems and Imaging, 2018) · cited 12× · AI/ML
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Using generalized cross validation to select regularization parameter for total variation regularization problems

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Using generalized cross validation to select regularization parameter for total variation regularization problems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Using generalized cross validation to select regularization parameter for total variation regularization problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-generalized-cross-validation-to-select-regularization-parameter-for-total-variation-regularization-problems
MLA “Using generalized cross validation to select regularization parameter for total variation regularization problems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-generalized-cross-validation-to-select-regularization-parameter-for-total-variation-regularization-problems.
BibTeX @misc{4ortxyz_using-generalized-cross-validation-to-select-regularization-parameter-for-total-variation-regularization-problems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using generalized cross validation to select regularization parameter for total variation regularization problems}}, year = {2026}, url = {https://4ort.xyz/entity/using-generalized-cross-validation-to-select-regularization-parameter-for-total-variation-regularization-problems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using generalized cross validation to select regularization parameter for total variation regularization problems — https://4ort.xyz/entity/using-generalized-cross-validation-to-select-regularization-parameter-for-total-variation-regularization-problems (retrieved 2026-05-24)

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