Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets (2011)
- Authors:
- Autor USP: PONTI JUNIOR, MOACIR PEREIRA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-21557-5_26
- 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. 6713, p. 237-248, 2011
- Conference titles: International Workshop on Multiple Classifier Systems - MCS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PONTI JUNIOR, Moacir Pereira e PAPA, João Paulo. Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-21557-5_26. Acesso em: 26 abr. 2024. , 2011 -
APA
Ponti Junior, M. P., & Papa, J. P. (2011). Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-21557-5_26 -
NLM
Ponti Junior MP, Papa JP. Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets [Internet]. Lecture Notes in Computer Science. 2011 ; 6713 237-248.[citado 2024 abr. 26 ] Available from: https://doi.org/10.1007/978-3-642-21557-5_26 -
Vancouver
Ponti Junior MP, Papa JP. Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets [Internet]. Lecture Notes in Computer Science. 2011 ; 6713 237-248.[citado 2024 abr. 26 ] Available from: https://doi.org/10.1007/978-3-642-21557-5_26 - Does background intensity estimation influence the iterative restoration of microscope images?
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Informações sobre o DOI: 10.1007/978-3-642-21557-5_26 (Fonte: oaDOI API)
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