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Big in Japan: Regularizing Networks for Solving Inverse Problems
Deep learning and (deep) neural networks are emerging tools to address inverse problems and image reconstruction tasks. Despite outstanding performance, the mathematical analysis for solving inverse problems by neural networks is mostly missing. In this paper, we introduce and rigorously analyze fam...
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| Yayımlandı: | J Math Imaging Vis |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer US
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7144407/ https://ncbi.nlm.nih.gov/pubmed/32308256 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10851-019-00911-1 |
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