Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks (2018)
- Authors:
- USP affiliated authors: MELLO, RODRIGO FERNANDES DE - ICMC ; PONTI, MOACIR ANTONELLI - ICMC
- Unidade: ICMC
- DOI: 10.1109/SIBGRAPI.2018.00053
- Subjects: APRENDIZADO COMPUTACIONAL; REDES NEURAIS; VISÃO COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2018
- Source:
- Título do periódico: Proceedings
- ISSN: 2377-5416
- Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
NAZARÉ, Tiago S et al. Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/SIBGRAPI.2018.00053. Acesso em: 24 abr. 2024. -
APA
Nazaré, T. S., Costa, G. B. P. da, Mello, R. F. de, & Ponti, M. A. (2018). Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2018.00053 -
NLM
Nazaré TS, Costa GBP da, Mello RF de, Ponti MA. Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks [Internet]. Proceedings. 2018 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00053 -
Vancouver
Nazaré TS, Costa GBP da, Mello RF de, Ponti MA. Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks [Internet]. Proceedings. 2018 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00053 - Machine learning: a practical approach on the statistical learning theory
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Informações sobre o DOI: 10.1109/SIBGRAPI.2018.00053 (Fonte: oaDOI API)
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