ReP USP - Resultado da busca

Artigo de periodico
Scalable object instance recognition based on keygraph matching (2018)
Dazzi, Estephan; Campos, Teófilo de; Hilton, Adrian; César Júnior, Roberto Marcondes
Source: Pattern Recognition Letters. Unidade: IME
Subjects: INTERPOLAÇÃO, APROXIMAÇÃO POR POLINÔMIOS, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DAZZI, Estephan et al. Scalable object instance recognition based on keygraph matching. Pattern Recognition Letters, v. 114, p. 53-62, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2017.10.038. Acesso em: 22 jun. 2024.
APA
Dazzi, E., Campos, T. de, Hilton, A., & César Júnior, R. M. (2018). Scalable object instance recognition based on keygraph matching. Pattern Recognition Letters, 114, 53-62. doi:10.1016/j.patrec.2017.10.038
NLM
Dazzi E, Campos T de, Hilton A, César Júnior RM. Scalable object instance recognition based on keygraph matching [Internet]. Pattern Recognition Letters. 2018 ; 114 53-62.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1016/j.patrec.2017.10.038
Vancouver
Dazzi E, Campos T de, Hilton A, César Júnior RM. Scalable object instance recognition based on keygraph matching [Internet]. Pattern Recognition Letters. 2018 ; 114 53-62.[citado 2024 jun. 22 ] Available from: https://doi.org/10.1016/j.patrec.2017.10.038
Parte de monografia/livro
Keygraphs: structured features for object detection and applications (2017)
Hashimoto, M; Morimitsu, Henrique; Hirata Júnior, Roberto ; César Júnior, Roberto Marcondes
Source: Pattern recognition and big data. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, M et al. Keygraphs: structured features for object detection and applications. Pattern recognition and big data. Tradução . Singapore: Hackensack, NJ, 2017. . Disponível em: https://www.worldscientific.com/worldscibooks/10.1142/10153. Acesso em: 22 jun. 2024.
APA
Hashimoto, M., Morimitsu, H., Hirata Júnior, R., & César Júnior, R. M. (2017). Keygraphs: structured features for object detection and applications. In Pattern recognition and big data. Singapore: Hackensack, NJ. Recuperado de https://www.worldscientific.com/worldscibooks/10.1142/10153
NLM
Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2024 jun. 22 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153
Vancouver
Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2024 jun. 22 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153
Trabalho de evento
Data-intensive analysis of HIV mutations (2012)
Cintho, Mina; César Júnior, Roberto Marcondes ; Ferreira, João Eduardo
Source: Proceedings. Conference titles: IEEE International Conference on E-Science. Unidades: IME, BIOINFORMÁTICA
Subjects: ANÁLISE DE DADOS, HIV, COMPUTAÇÃO APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CINTHO, Mina e CÉSAR JÚNIOR, Roberto Marcondes e FERREIRA, João Eduardo. Data-intensive analysis of HIV mutations. 2012, Anais.. Los Alamitos: IEEE, 2012. Disponível em: https://doi.org/10.1109/eScience.2012.6404411. Acesso em: 22 jun. 2024.
APA
Cintho, M., César Júnior, R. M., & Ferreira, J. E. (2012). Data-intensive analysis of HIV mutations. In Proceedings. Los Alamitos: IEEE. doi:10.1109/eScience.2012.6404411
NLM
Cintho M, César Júnior RM, Ferreira JE. Data-intensive analysis of HIV mutations [Internet]. Proceedings. 2012 ;[citado 2024 jun. 22 ] Available from: https://doi.org/10.1109/eScience.2012.6404411
Vancouver
Cintho M, César Júnior RM, Ferreira JE. Data-intensive analysis of HIV mutations [Internet]. Proceedings. 2012 ;[citado 2024 jun. 22 ] Available from: https://doi.org/10.1109/eScience.2012.6404411
Trabalho de evento
Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components (2012)
Liu, Y Ling; Driemeier, Carlos Eduardo ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: IEEE International Conference on E-Science. Unidades: BIOENERGIA, IME
Subjects: COMPONENTES PRINCIPAIS, BIOCOMBUSTÍVEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIU, Y Ling e DRIEMEIER, Carlos Eduardo e CÉSAR JÚNIOR, Roberto Marcondes. Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components. 2012, Anais.. Los Alamitos: IEEE, 2012. Disponível em: https://doi.org/10.1109/eScience.2012.6404485. Acesso em: 22 jun. 2024.
APA
Liu, Y. L., Driemeier, C. E., & César Júnior, R. M. (2012). Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components. In Proceedings. Los Alamitos: IEEE. doi:10.1109/eScience.2012.6404485
NLM
Liu YL, Driemeier CE, César Júnior RM. Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components [Internet]. Proceedings. 2012 ;[citado 2024 jun. 22 ] Available from: https://doi.org/10.1109/eScience.2012.6404485
Vancouver
Liu YL, Driemeier CE, César Júnior RM. Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components [Internet]. Proceedings. 2012 ;[citado 2024 jun. 22 ] Available from: https://doi.org/10.1109/eScience.2012.6404485

USP Schools

ReP

Filtros

Authors

Subjects