Zobrazeno 1 - 10
of 231
pro vyhledávání: '"Oliveira, Luiz Eduardo"'
Autor:
Ribas, Marcelo Eduardo Marques, Mendes, Heloisa Benedet, de Oliveira, Luiz Eduardo Soares, Zanlorensi, Luiz Antonio, de Almeida, Paulo Ricardo Lisboa
In smart cities, it is common practice to define a maximum length of stay for a given parking space to increase the space's rotativity and discourage the usage of individual transportation solutions. However, automatically determining individual car
Externí odkaz:
http://arxiv.org/abs/2411.00158
When deploying large-scale machine learning models for smart city applications, such as image-based parking lot monitoring, data often must be sent to a central server to perform classification tasks. This is challenging for the city's infrastructure
Externí odkaz:
http://arxiv.org/abs/2410.14705
Recent advances in language modelling has significantly decreased the need of labelled data in text classification tasks. Transformer-based models, pre-trained on unlabeled data, can outmatch the performance of models trained from scratch for each ta
Externí odkaz:
http://arxiv.org/abs/2409.05972
Autor:
de Matos, Jonathan, de Oliveira, Luiz Eduardo Soares, Junior, Alceu de Souza Britto, Koerich, Alessandro Lameiras
This paper presents a novel approach combining convolutional layers (CLs) and large-margin metric learning for training supervised models on small datasets for texture classification. The core of such an approach is a loss function that computes the
Externí odkaz:
http://arxiv.org/abs/2206.08537
Autor:
de Matos, Jonathan, Ataky, Steve Tsham Mpinda, Britto Jr., Alceu de Souza, de Oliveira, Luiz Eduardo Soares, Koerich, Alessandro Lameiras
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for cancer diagnosis. The analysis of such images is not only time and resource consuming, but also very challenging even for experienced pathologists, resulting
Externí odkaz:
http://arxiv.org/abs/2102.03889
Autor:
Oliveira, Luiz Eduardo de
Publikováno v:
Repositório Institucional da UnBUniversidade de BrasíliaUNB.
Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2017.
Submitted by Raquel Almeida (raquel.df13@gmail.com) on 2018-04-13T19:30:04Z No. of bitstreams: 1 2017_LuizEduardodeOliveir
Submitted by Raquel Almeida (raquel.df13@gmail.com) on 2018-04-13T19:30:04Z No. of bitstreams: 1 2017_LuizEduardodeOliveir
Externí odkaz:
http://repositorio.unb.br/handle/10482/31681
Autor:
Wiggers, Kelly Lais, Junior, Alceu de Souza Britto, Koerich, Alessandro Lameiras, Heutte, Laurent, de Oliveira, Luiz Eduardo Soares
This paper describes two approaches for content-based image retrieval and pattern spotting in document images using deep learning. The first approach uses a pre-trained CNN model to cope with the lack of training data, which is fine-tuned to achieve
Externí odkaz:
http://arxiv.org/abs/1907.09404
Publikováno v:
Repositório Institucional da UnBUniversidade de BrasíliaUNB.
Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Mecânica, 2017.
Submitted by Raiane Silva (raianesilva@bce.unb.br) on 2017-07-17T17:10:19Z No. of bitstreams: 1 2017_LuizEduardoSantosdeOl
Submitted by Raiane Silva (raianesilva@bce.unb.br) on 2017-07-17T17:10:19Z No. of bitstreams: 1 2017_LuizEduardoSantosdeOl
Externí odkaz:
http://repositorio.unb.br/handle/10482/24347
Autor:
de Matos, Jonathan, de Oliveira, Luiz Eduardo Soares, de Souza Britto Junior, Alceu, Koerich, Alessandro Lameiras
Publikováno v:
In Pattern Recognition Letters June 2023 170:39-47
Autor:
Oliveira, Luiz Eduardo Zancanaro de, Nunes, Rafael de Souza, Figueiredo, Cícero Célio de, Rein, Thomaz Adolpho
Publikováno v:
In Geoderma 15 July 2022 418