Investigating the potential of art neural network models for indexing and information retrieval (2007)
- Authors:
- USP affiliated authors: ROMERO, ROSELI APARECIDA FRANCELIN - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC ; OLIVEIRA, PATRÍCIA RUFINO - EACH
- Unidades: ICMC; EACH
- DOI: 10.1002/int.20204
- Subjects: REDES NEURAIS; RECUPERAÇÃO DA INFORMAÇÃO
- Language: Inglês
- Imprenta:
- Publisher place: Chichester
- Date published: 2007
- Source:
- Título do periódico: International Journal of Intelligent Systems
- ISSN: 0884-8173
- Volume/Número/Paginação/Ano: v. 22, n. 4, p. 319-336, 2007
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
-
ABNT
ROMERO, Roseli Aparecida Francelin et al. Investigating the potential of art neural network models for indexing and information retrieval. International Journal of Intelligent Systems, v. 22, n. 4, p. 319-336, 2007Tradução . . Disponível em: https://doi.org/10.1002/int.20204. Acesso em: 23 abr. 2024. -
APA
Romero, R. A. F., Vicentini José F.,, Oliveira, P. R., & Traina, A. J. M. (2007). Investigating the potential of art neural network models for indexing and information retrieval. International Journal of Intelligent Systems, 22( 4), 319-336. doi:10.1002/int.20204 -
NLM
Romero RAF, Vicentini José F., Oliveira PR, Traina AJM. Investigating the potential of art neural network models for indexing and information retrieval [Internet]. International Journal of Intelligent Systems. 2007 ; 22( 4): 319-336.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1002/int.20204 -
Vancouver
Romero RAF, Vicentini José F., Oliveira PR, Traina AJM. Investigating the potential of art neural network models for indexing and information retrieval [Internet]. International Journal of Intelligent Systems. 2007 ; 22( 4): 319-336.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1002/int.20204 - Improvements on ICA mixture models for image pre-processing and segmentation
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Informações sobre o DOI: 10.1002/int.20204 (Fonte: oaDOI API)
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