A meta-learning approach for selecting image segmentation algorithm (2019)
Fonte: Pattern Recognition Letters. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS
ABNT
AGUIAR, Gabriel Jones et al. A meta-learning approach for selecting image segmentation algorithm. Pattern Recognition Letters, v. 128, p. 480-487, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2019.10.018. Acesso em: 02 nov. 2024.APA
Aguiar, G. J., Mantovani, R. G., Mastelini, S. M., Carvalho, A. C. P. de L. F. de, Campos, G. F. C., & Barbon Júnior, S. (2019). A meta-learning approach for selecting image segmentation algorithm. Pattern Recognition Letters, 128, 480-487. doi:10.1016/j.patrec.2019.10.018NLM
Aguiar GJ, Mantovani RG, Mastelini SM, Carvalho ACP de LF de, Campos GFC, Barbon Júnior S. A meta-learning approach for selecting image segmentation algorithm [Internet]. Pattern Recognition Letters. 2019 ; 128 480-487.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.018Vancouver
Aguiar GJ, Mantovani RG, Mastelini SM, Carvalho ACP de LF de, Campos GFC, Barbon Júnior S. A meta-learning approach for selecting image segmentation algorithm [Internet]. Pattern Recognition Letters. 2019 ; 128 480-487.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.018