Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory (1997)
- Authors:
- Autor USP: BARRERA, JUNIOR - IME
- Unidade: IME
- DOI: 10.1117/12.260010
- Assunto: APRENDIZADO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Bellingham
- Date published: 1997
- Source:
- Título do periódico: Journal of Electronic Imaging
- ISSN: 1017-9909
- Volume/Número/Paginação/Ano: v. 6, n. 1, p. 54-67, 1997
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BARRERA, Júnior e DOUGHERTY, Edward R e TOMITA, Nina Sumiko. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. Journal of Electronic Imaging, v. 6, n. 1, p. 54-67, 1997Tradução . . Disponível em: https://doi.org/10.1117/12.260010. Acesso em: 18 abr. 2024. -
APA
Barrera, J., Dougherty, E. R., & Tomita, N. S. (1997). Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory. Journal of Electronic Imaging, 6( 1), 54-67. doi:10.1117/12.260010 -
NLM
Barrera J, Dougherty ER, Tomita NS. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory [Internet]. Journal of Electronic Imaging. 1997 ; 6( 1): 54-67.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1117/12.260010 -
Vancouver
Barrera J, Dougherty ER, Tomita NS. Automatic programming of binary morphological machines by design of statistically optimal operators in the context of computational learning theory [Internet]. Journal of Electronic Imaging. 1997 ; 6( 1): 54-67.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1117/12.260010 - Mathematical morphology and its applications to signal and image processing
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- Finding robust linear expression-based classifiers
- Pattern recognition theory in nonlinear signal processing
- Verificação de impressões digitais utilizando morfologia matemática
- A parallel algorithm for finding small sets of genes that are enough to distinguish two biological states
- Optimal range-domain window filters
- Mathematical morphology toolbox for the KHOROS system
- Color image gradients for morphological segmentation
- Design of large-window binary filters via iteration
Informações sobre o DOI: 10.1117/12.260010 (Fonte: oaDOI API)
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