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Artigo de periodico
Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression (2018)
Bui, Tu; Ribeiro, Leonardo; Ponti, Moacir Antonelli ; Collomosse, John
Source: Computers & Graphics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, RECUPERAÇÃO DA INFORMAÇÃO, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUI, Tu et al. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression. Computers & Graphics, v. 71, p. 77-87, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2017.12.006. Acesso em: 15 nov. 2024.
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2018). Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression. Computers & Graphics, 71, 77-87. doi:10.1016/j.cag.2017.12.006
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression [Internet]. Computers & Graphics. 2018 ; 71 77-87.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.cag.2017.12.006
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression [Internet]. Computers & Graphics. 2018 ; 71 77-87.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.cag.2017.12.006
Trabalho de evento
Everything you wanted to know about deep learning for computer vision but were afraid to ask (2017)
Ponti, Moacir Antonelli ; Ribeiro, Leonardo S. F; Nazaré, Tiago Santana de ; Bui, Tu; Collomosse, John
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONTI, Moacir Antonelli et al. Everything you wanted to know about deep learning for computer vision but were afraid to ask. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI-T.2017.12. Acesso em: 15 nov. 2024.
APA
Ponti, M. A., Ribeiro, L. S. F., Nazaré, T. S. de, Bui, T., & Collomosse, J. (2017). Everything you wanted to know about deep learning for computer vision but were afraid to ask. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI-T.2017.12
NLM
Ponti MA, Ribeiro LSF, Nazaré TS de, Bui T, Collomosse J. Everything you wanted to know about deep learning for computer vision but were afraid to ask [Internet]. Proceedings. 2017 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/SIBGRAPI-T.2017.12
Vancouver
Ponti MA, Ribeiro LSF, Nazaré TS de, Bui T, Collomosse J. Everything you wanted to know about deep learning for computer vision but were afraid to ask [Internet]. Proceedings. 2017 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/SIBGRAPI-T.2017.12
Trabalho de evento-anais periodico
A lightweight regression method to infer psycholinguistic properties for brazilian portuguese (2017)
Santos, Leandro Borges dos; Duran, Magali Sanches; Hartmann, Nathan Siegle; Candido Junior, Arnaldo; Paetzold, Gustavo Henrique; Aluísio, Sandra Maria
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Text, Speech, and Dialogue - TSD. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, PSICOLINGUÍSTICA, PORTUGUÊS DO BRASIL
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ABNT
SANTOS, Leandro Borges dos et al. A lightweight regression method to infer psycholinguistic properties for brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-64206-2_32. Acesso em: 15 nov. 2024. , 2017
APA
Santos, L. B. dos, Duran, M. S., Hartmann, N. S., Candido Junior, A., Paetzold, G. H., & Aluísio, S. M. (2017). A lightweight regression method to infer psycholinguistic properties for brazilian portuguese. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-319-64206-2_32
NLM
Santos LB dos, Duran MS, Hartmann NS, Candido Junior A, Paetzold GH, Aluísio SM. A lightweight regression method to infer psycholinguistic properties for brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10415 281-289.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/978-3-319-64206-2_32
Vancouver
Santos LB dos, Duran MS, Hartmann NS, Candido Junior A, Paetzold GH, Aluísio SM. A lightweight regression method to infer psycholinguistic properties for brazilian portuguese [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10415 281-289.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/978-3-319-64206-2_32
Trabalho de evento
Optical-flow features empirical mode decomposition for motion anomaly detection (2017)
Ponti, Moacir Antonelli ; Nazaré, Tiago Santana de ; Kittler, Josef
Source: Proceedings. Conference titles: IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, BANCO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONTI, Moacir Antonelli e NAZARÉ, Tiago Santana de e KITTLER, Josef. Optical-flow features empirical mode decomposition for motion anomaly detection. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/ICASSP.2017.7952387. Acesso em: 15 nov. 2024.
APA
Ponti, M. A., Nazaré, T. S. de, & Kittler, J. (2017). Optical-flow features empirical mode decomposition for motion anomaly detection. In Proceedings. Piscataway: IEEE. doi:10.1109/ICASSP.2017.7952387
NLM
Ponti MA, Nazaré TS de, Kittler J. Optical-flow features empirical mode decomposition for motion anomaly detection [Internet]. Proceedings. 2017 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/ICASSP.2017.7952387
Vancouver
Ponti MA, Nazaré TS de, Kittler J. Optical-flow features empirical mode decomposition for motion anomaly detection [Internet]. Proceedings. 2017 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/ICASSP.2017.7952387
Artigo de periodico
Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network (2017)
Bui, T; Ribeiro, L; Ponti, Moacir Antonelli ; Collomosse, J
Source: Computer Vision and Image Understanding. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUI, T et al. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Computer Vision and Image Understanding, v. No 2017, p. 27-37, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cviu.2017.06.007. Acesso em: 15 nov. 2024.
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2017). Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Computer Vision and Image Understanding, No 2017, 27-37. doi:10.1016/j.cviu.2017.06.007
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network [Internet]. Computer Vision and Image Understanding. 2017 ; No 2017 27-37.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.cviu.2017.06.007
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network [Internet]. Computer Vision and Image Understanding. 2017 ; No 2017 27-37.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.cviu.2017.06.007
Artigo de periodico
Score normalization applied to adaptive biometric systems (2017)
Pisani, Paulo Henrique; Poh, Norman; Carvalho, André Carlos Ponce de Leon Ferreira de ; Lorena, Ana Carolina
Source: Computers & Security. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, BIOMETRIA, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PISANI, Paulo Henrique et al. Score normalization applied to adaptive biometric systems. Computers & Security, v. 70, p. Se 2017, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cose.2017.07.014. Acesso em: 15 nov. 2024.
APA
Pisani, P. H., Poh, N., Carvalho, A. C. P. de L. F. de, & Lorena, A. C. (2017). Score normalization applied to adaptive biometric systems. Computers & Security, 70, Se 2017. doi:10.1016/j.cose.2017.07.014
NLM
Pisani PH, Poh N, Carvalho ACP de LF de, Lorena AC. Score normalization applied to adaptive biometric systems [Internet]. Computers & Security. 2017 ; 70 Se 2017.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.cose.2017.07.014
Vancouver
Pisani PH, Poh N, Carvalho ACP de LF de, Lorena AC. Score normalization applied to adaptive biometric systems [Internet]. Computers & Security. 2017 ; 70 Se 2017.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.cose.2017.07.014
Parte de monografia/livro
A tutorial on hierarchical classification with application in bioinformatics (2007)
Freitas, Alex; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Research and trends in data mining technologies and applications. Unidade: ICMC
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREITAS, Alex e CARVALHO, André Carlos Ponce de Leon Ferreira de. A tutorial on hierarchical classification with application in bioinformatics. Research and trends in data mining technologies and applications. Tradução . Hershey: Idea Group, 2007. . . Acesso em: 15 nov. 2024.
APA
Freitas, A., & Carvalho, A. C. P. de L. F. de. (2007). A tutorial on hierarchical classification with application in bioinformatics. In Research and trends in data mining technologies and applications. Hershey: Idea Group.
NLM
Freitas A, Carvalho ACP de LF de. A tutorial on hierarchical classification with application in bioinformatics. In: Research and trends in data mining technologies and applications. Hershey: Idea Group; 2007. [citado 2024 nov. 15 ]
Vancouver
Freitas A, Carvalho ACP de LF de. A tutorial on hierarchical classification with application in bioinformatics. In: Research and trends in data mining technologies and applications. Hershey: Idea Group; 2007. [citado 2024 nov. 15 ]

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