Superiorization of incremental optimization algorithms for statistical tomographic image reconstruction (2017)
- Authors:
- Autor USP: HELOU NETO, ELIAS SALOMÃO - ICMC
- Unidade: ICMC
- DOI: 10.1088/1361-6420/33/4/044010
- Subjects: OTIMIZAÇÃO; OTIMIZAÇÃO COMBINATÓRIA; OTIMIZAÇÃO CONVEXA
- Keywords: Superiorization; tomographic image reconstruction
- Language: Inglês
- Imprenta:
- Publisher place: Bristol, United Kingdom
- Date published: 2017
- Source:
- Título: Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data
- ISSN: 0266-5611
- Volume/Número/Paginação/Ano: v. 33, n. 4, p. 044010-1-044010-26, Mar. 2017
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
ABNT
HELOU, Elias Salomão e ZIBETTI, M. V. W e MIQUELES, E. X. Superiorization of incremental optimization algorithms for statistical tomographic image reconstruction. Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data, v. 33, n. 4, p. 044010-1-044010-26, 2017Tradução . . Disponível em: https://doi.org/10.1088/1361-6420/33/4/044010. Acesso em: 10 jan. 2026. -
APA
Helou, E. S., Zibetti, M. V. W., & Miqueles, E. X. (2017). Superiorization of incremental optimization algorithms for statistical tomographic image reconstruction. Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data, 33( 4), 044010-1-044010-26. doi:10.1088/1361-6420/33/4/044010 -
NLM
Helou ES, Zibetti MVW, Miqueles EX. Superiorization of incremental optimization algorithms for statistical tomographic image reconstruction [Internet]. Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data. 2017 ; 33( 4): 044010-1-044010-26.[citado 2026 jan. 10 ] Available from: https://doi.org/10.1088/1361-6420/33/4/044010 -
Vancouver
Helou ES, Zibetti MVW, Miqueles EX. Superiorization of incremental optimization algorithms for statistical tomographic image reconstruction [Internet]. Inverse Problems : An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data. 2017 ; 33( 4): 044010-1-044010-26.[citado 2026 jan. 10 ] Available from: https://doi.org/10.1088/1361-6420/33/4/044010 - String-averaging expectation-maximization for maximum likelihood estimation in emission tomography
- On the local convergence analysis of the gradient sampling method for finite max-functions
- A fast gradient and function sampling method for finite-max functions
- A backprojection slice theorem for tomographic reconstruction
- Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction
- A new parameter choice method for inverse problems with poisson noise
- Escolha do parâmetro de relaxação e implementações paralelas do método de Kaczmarz
- The discrete Fourier transform for golden angle linogram sampling
- Accelerating overrelaxed and monotone fast iterative shrinkage-thresholding algorithms with line search for sparse reconstructions
- A new parameter choice rule for optimization models for inverse problems with poisson noise
Informações sobre o DOI: 10.1088/1361-6420/33/4/044010 (Fonte: oaDOI API)
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