Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Luiz Eduardo Soares de Oliveira"'
Autor:
Marks Melo Moura, Luiz Eduardo Soares de Oliveira, Carlos Roberto Sanquetta, Alexis Bastos, Midhun Mohan, Ana Paula Dalla Corte
Publikováno v:
Remote Sensing, Vol 13, Iss 13, p 2627 (2021)
Precise assessments of forest species’ composition help analyze biodiversity patterns, estimate wood stocks, and improve carbon stock estimates. Therefore, the objective of this work was to evaluate the use of high-resolution images obtained from U
Externí odkaz:
https://doaj.org/article/9de1f46ec81f40ca925d4eb0fd7173dd
Autor:
Jonathan de Matos, Luiz Eduardo Soares de Oliveira, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich
Publikováno v:
Pattern Recognition Letters. 170:39-47
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6c14dcf01d5ba9d05e7a99bd3475caf
https://doi.org/10.1016/j.patrec.2023.04.006
https://doi.org/10.1016/j.patrec.2023.04.006
Autor:
Leandro Augusto Ensina, Luiz Eduardo Soares de Oliveira, Eduardo Cunha de Almeida, Signie Laureano Franca Santos, Leandro Silva Bernardino
Publikováno v:
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6915199bc09a66cada206dec56d4e16
https://doi.org/10.1109/iecon49645.2022.9968993
https://doi.org/10.1109/iecon49645.2022.9968993
Autor:
Adriano Alves de Lima, Marcie Venancio Batista, Jean Paul Barddal, Danilo Sipoli Sanches, Luiz Eduardo Soares de Oliveira
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e05333a9c15da3987312ab865d8299f
https://doi.org/10.1109/ijcnn55064.2022.9892386
https://doi.org/10.1109/ijcnn55064.2022.9892386
Autor:
Artur Jordão Lima Correia
Publikováno v:
Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico FAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Modern visual pattern recognition mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::87aeac210ded456e484c273163e40028
Autor:
Andrey Bicalho Santos
Publikováno v:
Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Recentemente, a análise de dados hiperespectrais têm sido o principal meio para interpreta ção de imagens de sensoriamento remoto. Uma imagem hiperespectral é composta por centenas de canais, cada um corresponde a uma determinada faixa do espect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::45ea5044d8a7c1022666b09a0dcf9158