Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Oliveira, Luiz Eduardo Soares"'
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
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:
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
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
La lecture automatique de champs numériques a été envisagée dans plusieurs domaines tels que le traitement de chèques bancaires, la reconnaissance de codes postaux, et le traitement de formulaires qui constituent un large éventail des problème
Thèse (Ph.D.)--École de technologie supérieure, Montréal, 2003.
"Thesis presented to the École de technologie supérieure in partial fulfillment of the thesis requirement for the degree of philosophiae doctor in engineering". La nume
"Thesis presented to the École de technologie supérieure in partial fulfillment of the thesis requirement for the degree of philosophiae doctor in engineering". La nume
Externí odkaz:
http://wwwlib.umi.com/cr/etsmtl/fullcit?pNQ85289
Autor:
Silva, Hideson Alves da, de Souza Britto, Alceu, Jr., Oliveira, Luiz Eduardo Soares de, Koerich, Alessandro L.
Publikováno v:
In Expert Systems With Applications July 2013 40(9):3471-3480
Autor:
Moura, Marks Melo1 (AUTHOR) sanquetta@ufpr.br, de Oliveira, Luiz Eduardo Soares2 (AUTHOR) luiz.oliveira@ufpr.br, Sanquetta, Carlos Roberto1 (AUTHOR) anacorte@ufpr.br, Bastos, Alexis3 (AUTHOR) alexis@rioterra.org.br, Mohan, Midhun4 (AUTHOR) mid_mohan@berkeley.edu, Corte, Ana Paula Dalla1 (AUTHOR)
Publikováno v:
Remote Sensing. Jul2021, Vol. 13 Issue 13, p2627-2627. 1p.