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pro vyhledávání: '"Daniel, Carlos"'
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
Publikováno v:
Revista Brasileira de Prescrição e Fisiologia do Exercício, Vol 18, Iss 113, Pp 80-87 (2024)
Um futebolista é definido como um atleta que se envolve em treinamentos de alta complexidade, a qual pode gerar mudanças no coração do profissional, que podem ser tanto fisiológicas, quanto patológicas, demonstradas em um eletrocardiograma (ECG
Externí odkaz:
https://doaj.org/article/32980163bea4451f8835553766fa68ec
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:
Torres, João Pedro de Castro, Gaspar, Cássio Marques Rodrigues, Cardoso, Daniel Carlos Taissum
Publikováno v:
In Construction and Building Materials 5 July 2024 434
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
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
Autor:
Martins Garcia, Daniel Carlos1 daniel.garcia@edu.ufes.br, Soares Detino, Junior1 soares.detino@edu.ufes.br, da Silva Junior, Orlando Marques1 orlando.m.silva@edu.ufes.br, Condor Salazar, Franco Sidney1 franco.salazar@edu.ufes.br, Almenara Cosvosk, Enzo1 enzo.cosvosk@edu.ufes.br, Jesus Servare Junior, Marcos Wagner1 marcos.servare@ufes.br
Publikováno v:
Brazilian Journal of Production Engineering / Revista Brasileira de Engenharia de Produção. jul-set2024, Vol. 10 Issue 3, p384-395. 12p.