Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Carlos, Guimaraes"'
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:
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
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:
Josef Finsterer, Carla Alexandra Scorza, Fulvio Alexandre Scorza, Antonio-Carlos Guimaraes de Almeida
Publikováno v:
Chiropractic & Manual Therapies, Vol 32, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/4f831f0f71904bc6a02a6824c461ccfa
Autor:
Gonçalves, Filipe Marcel Fernandes, Pedronette, Daniel Carlos Guimarães, da Silva Torres, Ricardo
Publikováno v:
In Pattern Recognition August 2023 140
This paper presents a robust and comprehensive graph-based rank aggregation approach, used to combine results of isolated ranker models in retrieval tasks. The method follows an unsupervised scheme, which is independent of how the isolated ranks are
Externí odkaz:
http://arxiv.org/abs/1901.05743
Publikováno v:
In Expert Systems With Applications 1 March 2023 213 Part B