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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144407/ https://www.ncbi.nlm.nih.gov/pubmed/32308256 http://dx.doi.org/10.1007/s10851-019-00911-1 |