A fractal-based approach to network characterization applied to texture analysis (2019)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; RIBAS, LUCAS CORREIA - ICMC
- Unidades: IFSC; ICMC
- DOI: 10.1007/978-3-030-29888-3_11
- Subjects: RECONHECIMENTO DE PADRÕES; REDES NEURAIS; VISÃO COMPUTACIONAL
- Keywords: Complex networks; Fractal dimension; Texture analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg
- Date published: 2019
- Source:
- Título do periódico: Lecture Notes in Computer Science - LNCS
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 11678, Part I, p. 129-140, 2019
- Conference titles: International Conference on Computer Analysis of Images and Patterns - CAIP
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
ABNT
RIBAS, Lucas Correia e MANZANERA, Antoine e BRUNO, Odemir Martinez. A fractal-based approach to network characterization applied to texture analysis. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-29888-3_11. Acesso em: 24 abr. 2024. , 2019 -
APA
Ribas, L. C., Manzanera, A., & Bruno, O. M. (2019). A fractal-based approach to network characterization applied to texture analysis. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-29888-3_11 -
NLM
Ribas LC, Manzanera A, Bruno OM. A fractal-based approach to network characterization applied to texture analysis [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11678 129-140.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/978-3-030-29888-3_11 -
Vancouver
Ribas LC, Manzanera A, Bruno OM. A fractal-based approach to network characterization applied to texture analysis [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11678 129-140.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/978-3-030-29888-3_11 - “Prêmio CAPES – Teses 2022”: Pós-doc do IFSC/USP arrecada Menção Honrosa e prêmio da Sociedade Brasileira de Computação (SBC)
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Informações sobre o DOI: 10.1007/978-3-030-29888-3_11 (Fonte: oaDOI API)
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