Ultimate levelings with strategy for filtering undesirable residues based on machine learning (2019)
Alves, Wonder Alexandre Luz 
; Gobber, Charles Ferreira; Silva, Denis José da; Morimitsu, Alexandre; Hashimoto, Ronaldo Fumio ; Marcotegui, Beatriz
Source: Mathematical morphology and its applications to signal and image processing: Proceedings. Conference titles: International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing -ISMM. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, REGRESSÃO LINEAR
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ABNT
ALVES, Wonder Alexandre Luz et al. Ultimate levelings with strategy for filtering undesirable residues based on machine learning. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-20867-7_23. Acesso em: 15 nov. 2024.APA
Alves, W. A. L., Gobber, C. F., Silva, D. J. da, Morimitsu, A., Hashimoto, R. F., & Marcotegui, B. (2019). Ultimate levelings with strategy for filtering undesirable residues based on machine learning. In Mathematical morphology and its applications to signal and image processing: Proceedings. Cham: Springer. doi:10.1007/978-3-030-20867-7_23NLM
Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Ultimate levelings with strategy for filtering undesirable residues based on machine learning [Internet]. Mathematical morphology and its applications to signal and image processing: Proceedings. 2019 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/978-3-030-20867-7_23Vancouver
Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Ultimate levelings with strategy for filtering undesirable residues based on machine learning [Internet]. Mathematical morphology and its applications to signal and image processing: Proceedings. 2019 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/978-3-030-20867-7_23
