Dynamic texture classification using deterministic partially self-avoiding walks on networks (2019)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; RIBAS, LUCAS CORREIA - ICMC
- Unidades: IFSC; ICMC
- DOI: 10.1007/978-3-030-30642-7_8
- Subjects: RECONHECIMENTO DE PADRÕES; REDES NEURAIS; VISÃO COMPUTACIONAL
- Keywords: Dynamic texture; Deterministic walks; Network sciences
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg
- Date published: 2019
- Source:
- Título: Lecture Notes in Computer Science - LNCS
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 11751, Part I, p. 82-93, 2019
- Conference titles: International Conference on Image Analysis and Processing- ICIAP
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Dynamic texture classification using deterministic partially self-avoiding walks on networks. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30642-7_8. Acesso em: 27 dez. 2025. , 2019 -
APA
Ribas, L. C., & Bruno, O. M. (2019). Dynamic texture classification using deterministic partially self-avoiding walks on networks. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-30642-7_8 -
NLM
Ribas LC, Bruno OM. Dynamic texture classification using deterministic partially self-avoiding walks on networks [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11751 82-93.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/978-3-030-30642-7_8 -
Vancouver
Ribas LC, Bruno OM. Dynamic texture classification using deterministic partially self-avoiding walks on networks [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11751 82-93.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1007/978-3-030-30642-7_8 - “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: 10.1007/978-3-030-30642-7_8 (Fonte: oaDOI API)
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