Zobrazeno 1 - 10
of 463
pro vyhledávání: '"Carlos Guimarães"'
Autor:
Carlos Guimarães
Publikováno v:
Almanack, Iss 33 (2023)
Resumo O objetivo do texto consistiu em analisar a participação dos negociantes e traficantes de escravos do Rio de Janeiro nos “Donativos gratuitos, para as urgencias do Estado desde 31 de março até 18 de abril de 1817”, e a relação de rec
Externí odkaz:
https://doaj.org/article/88995c8ed3224280a40d54c322a2ce0e
Autor:
Alan Lima de Carvalho, Rogério Mendes Viana, Rodolfo Parra, Leonardo Rodrigo Copetti, Pedro Augusto Da Cas Porto, Laércio Camilo Rodrigues, Diefferson Machado Félix, Carlos Guimarães Moraes, Marco Antônio de Mattos La Porta Júnior
Publikováno v:
Revista de Educação Física, Vol 75, Iss 135 (2017)
O triathlon é um dos esportes olímpicos com origem mais recente, tendo surgido apenas em meados da década de 1970, nos EUA, mais especificamente na cidade de San Diego. É composto por três provas distintas - natação, ciclismo e corrida - reali
Externí odkaz:
https://doaj.org/article/edbdc882993740c8826393a87ede4d34
Publikováno v:
Image and Vision Computing, 123, 104473 (2022)
Person Re-ID has been gaining a lot of attention and nowadays is of fundamental importance in many camera surveillance applications. The task consists of identifying individuals across multiple cameras that have no overlapping views. Most of the appr
Externí odkaz:
http://arxiv.org/abs/2304.14321
Due to a huge volume of information in many domains, the need for classification methods is imperious. In spite of many advances, most of the approaches require a large amount of labeled data, which is often not available, due to costs and difficulti
Externí odkaz:
http://arxiv.org/abs/2304.12492
Impressive advances in acquisition and sharing technologies have made the growth of multimedia collections and their applications almost unlimited. However, the opposite is true for the availability of labeled data, which is needed for supervised tra
Externí odkaz:
http://arxiv.org/abs/2304.12448
Autor:
de Paula, Tauana Maria Carlos Guimarães1 (AUTHOR) tauanamariapaula@gmail.com, de Sousa, Rafael Vieira2 (AUTHOR), Sarmiento, Marisol Parada1 (AUTHOR), Kramer, Ton3 (AUTHOR), de Souza Sardinha, Edson José2 (AUTHOR), Sabei, Leandro1 (AUTHOR), Machado, Júlia Silvestrini1 (AUTHOR), Vilioti, Mirela1 (AUTHOR), Zanella, Adroaldo José1 (AUTHOR) adroaldo.zanella@usp.br
Publikováno v:
Scientific Reports. 7/16/2024, Vol. 14 Issue 1, p1-13. 13p.
Autor:
Presotto, João Gabriel Camacho, Valem, Lucas Pascotti, de Sá, Nikolas Gomes, Pedronette, Daniel Carlos Guimarães, Papa, João Paulo
Publikováno v:
In Neurocomputing 7 July 2024 589
Autor:
Leticio, Gustavo Rosseto, Kawai, Vinicius Sato, Valem, Lucas Pascotti, Pedronette, Daniel Carlos Guimarães, da S. Torres, Ricardo
Publikováno v:
In Pattern Recognition Letters July 2024 183:17-25
Publikováno v:
Revista Brasileira de Prescrição e Fisiologia do Exercício, Vol 2, Iss 8 (2011)
Externí odkaz:
https://doaj.org/article/8e54ea58666e44009344dd2bf3eafff5
Autor:
Silva, Lucas Fernando Alvarenga e, Pedronette, Daniel Carlos Guimarães, Faria, Fábio Augusto, Papa, João Paulo, Almeida, Jurandy
Publikováno v:
in 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2021, pp. 168-175
Deep learning (DL) has been the primary approach used in various computer vision tasks due to its relevant results achieved on many tasks. However, on real-world scenarios with partially or no labeled data, DL methods are also prone to the well-known
Externí odkaz:
http://arxiv.org/abs/2109.02693