Local complex features learned by randomized neural networks for texture analysis (2024)
- Authors:
- USP affiliated authors: BRUNO, ODEMIR MARTINEZ - IFSC ; SCABINI, LEONARDO FELIPE DOS SANTOS - IFSC
- Unidade: IFSC
- DOI: 10.1007/s10044-024-01230-x
- Subjects: RECONHECIMENTO DE PADRÕES; TEXTURA
- Keywords: Randomized neural networks; Network science; Texture representation; Image classification
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Pattern Analysis and Applications
- ISSN: 1433-7541
- Volume/Número/Paginação/Ano: v. 27, p. 23-1-23-12, Feb. 2024
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RIBAS, Lucas Correia et al. Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, v. 27, p. 23-1-23-12, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10044-024-01230-x. Acesso em: 28 dez. 2025. -
APA
Ribas, L. C., Scabini, L. F. dos S., Sá Júnior, J. J. de M., & Bruno, O. M. (2024). Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, 27, 23-1-23-12. doi:10.1007/s10044-024-01230-x -
NLM
Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/s10044-024-01230-x -
Vancouver
Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/s10044-024-01230-x - IA desenvolvida na USP é a melhor do mundo para reconhecer texturas [Depoimento a Ivan Conterno]
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Informações sobre o DOI: 10.1007/s10044-024-01230-x (Fonte: oaDOI API)
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