Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction (2015)
- Authors:
- Autor USP: HELOU NETO, ELIAS SALOMÃO - ICMC
- Unidade: ICMC
- DOI: 10.1109/ICIP.2015.7351213
- Subjects: OTIMIZAÇÃO; OTIMIZAÇÃO COMBINATÓRIA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos, CA
- Date published: 2015
- Source:
- Título: Proceedings
- ISSN: 1636-9874
- Conference titles: IEEE International Conference on Image Processing - ICIP
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ZIBETTI, Marcelo V. W et al. Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction. 2015, Anais.. Los Alamitos, CA: IEEE, 2015. Disponível em: https://doi.org/10.1109/ICIP.2015.7351213. Acesso em: 10 fev. 2026. -
APA
Zibetti, M. V. W., Helou, E. S., Miqueles, E. X., & Pierro, A. R. D. (2015). Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/ICIP.2015.7351213 -
NLM
Zibetti MVW, Helou ES, Miqueles EX, Pierro ARD. Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction [Internet]. Proceedings. 2015 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/ICIP.2015.7351213 -
Vancouver
Zibetti MVW, Helou ES, Miqueles EX, Pierro ARD. Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction [Internet]. Proceedings. 2015 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1109/ICIP.2015.7351213 - Escolha do parâmetro de relaxação e implementações paralelas do método de Kaczmarz
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Informações sobre o DOI: 10.1109/ICIP.2015.7351213 (Fonte: oaDOI API)
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