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Trabalho de evento
Graph-based segmentation with local band constraints (2019)
Braz, Caio de Moraes; Miranda, Paulo André Vechiatto de ; Ciesielski, Krzysztof Chris; Cappabianco, Fabio Augusto Menocci
Source: Proceedings. Conference titles: International Conference on Discrete Geometry for Computer Imagery - DGCI. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRAZ, Caio de Moraes et al. Graph-based segmentation with local band constraints. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-14085-4_13. Acesso em: 03 nov. 2024.
APA
Braz, C. de M., Miranda, P. A. V. de, Ciesielski, K. C., & Cappabianco, F. A. M. (2019). Graph-based segmentation with local band constraints. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-14085-4_13
NLM
Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Graph-based segmentation with local band constraints [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-14085-4_13
Vancouver
Braz C de M, Miranda PAV de, Ciesielski KC, Cappabianco FAM. Graph-based segmentation with local band constraints [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-14085-4_13
Trabalho de evento
Quantifying the presence of graffiti in urban environments (2019)
Tokuda, Eric K; César Júnior, Roberto Marcondes ; Silva, Claudio T
Source: Proceedings. Conference titles: International Conference on Big Data and Smart Computing - BigComp. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, GRAFFITI
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOKUDA, Eric K e CÉSAR JÚNIOR, Roberto Marcondes e SILVA, Claudio T. Quantifying the presence of graffiti in urban environments. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BIGCOMP.2019.8679113. Acesso em: 03 nov. 2024.
APA
Tokuda, E. K., César Júnior, R. M., & Silva, C. T. (2019). Quantifying the presence of graffiti in urban environments. In Proceedings. Piscataway: IEEE. doi:10.1109/BIGCOMP.2019.8679113
NLM
Tokuda EK, César Júnior RM, Silva CT. Quantifying the presence of graffiti in urban environments [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/BIGCOMP.2019.8679113
Vancouver
Tokuda EK, César Júnior RM, Silva CT. Quantifying the presence of graffiti in urban environments [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/BIGCOMP.2019.8679113
Trabalho de evento
Efficient unsupervised image segmentation by optimum cuts in graphs (2019)
Bejar, Hans H. C ; Mansilla, Lucy Alsina Choque ; Miranda, Paulo André Vechiatto de
Source: Proceedings. Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BEJAR, Hans H. C e MANSILLA, Lucy Alsina Choque e MIRANDA, Paulo André Vechiatto de. Efficient unsupervised image segmentation by optimum cuts in graphs. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_42. Acesso em: 03 nov. 2024.
APA
Bejar, H. H. C., Mansilla, L. A. C., & Miranda, P. A. V. de. (2019). Efficient unsupervised image segmentation by optimum cuts in graphs. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-13469-3_42
NLM
Bejar HHC, Mansilla LAC, Miranda PAV de. Efficient unsupervised image segmentation by optimum cuts in graphs [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_42
Vancouver
Bejar HHC, Mansilla LAC, Miranda PAV de. Efficient unsupervised image segmentation by optimum cuts in graphs [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_42
Trabalho de evento
A novel semi-supervised detection approach with weak annotation (2018)
Tokuda, Eric K; Ferreira, Gabriel B. A; Silva, Claudio; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: Southwest Symposium on Image Analysis and Interpretation - SSIAI. Unidade: IME
Assunto: VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOKUDA, Eric K et al. A novel semi-supervised detection approach with weak annotation. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/SSIAI.2018.8470307. Acesso em: 03 nov. 2024.
APA
Tokuda, E. K., Ferreira, G. B. A., Silva, C., & César Júnior, R. M. (2018). A novel semi-supervised detection approach with weak annotation. In Proceedings. Piscataway: IEEE. doi:10.1109/SSIAI.2018.8470307
NLM
Tokuda EK, Ferreira GBA, Silva C, César Júnior RM. A novel semi-supervised detection approach with weak annotation [Internet]. Proceedings. 2018 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/SSIAI.2018.8470307
Vancouver
Tokuda EK, Ferreira GBA, Silva C, César Júnior RM. A novel semi-supervised detection approach with weak annotation [Internet]. Proceedings. 2018 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1109/SSIAI.2018.8470307

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