A Markov Random Field model for combining optimum-path forest classifiers using decision graphs and game strategy approach (2011)
- Authors:
- Autor USP: PONTI JUNIOR, MOACIR PEREIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-25085-9
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2011
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7042, p. 581-590, 2011
- Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
PONTI JUNIOR, Moacir Pereira e PAPA, João Paulo e LEVADA, Alexandre L. M. A Markov Random Field model for combining optimum-path forest classifiers using decision graphs and game strategy approach. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-25085-9. Acesso em: 16 abr. 2024. , 2011 -
APA
Ponti Junior, M. P., Papa, J. P., & Levada, A. L. M. (2011). A Markov Random Field model for combining optimum-path forest classifiers using decision graphs and game strategy approach. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-25085-9 -
NLM
Ponti Junior MP, Papa JP, Levada ALM. A Markov Random Field model for combining optimum-path forest classifiers using decision graphs and game strategy approach [Internet]. Lecture Notes in Computer Science. 2011 ; 7042 581-590.[citado 2024 abr. 16 ] Available from: https://doi.org/10.1007/978-3-642-25085-9 -
Vancouver
Ponti Junior MP, Papa JP, Levada ALM. A Markov Random Field model for combining optimum-path forest classifiers using decision graphs and game strategy approach [Internet]. Lecture Notes in Computer Science. 2011 ; 7042 581-590.[citado 2024 abr. 16 ] Available from: https://doi.org/10.1007/978-3-642-25085-9 - Does background intensity estimation influence the iterative restoration of microscope images?
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Informações sobre o DOI: 10.1007/978-3-642-25085-9 (Fonte: oaDOI API)
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