Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Wilson Estécio Marcílio Júnior"'
Autor:
Giovanna Carreira Marinho, Wilson Estécio Marcílio Júnior, Mauricio Araujo Dias, Danilo Medeiros Eler, Almir Olivette Artero, Wallace Casaca, Rogério Galante Negri
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5760 (2023)
Anomaly detection based on Kittler’s Taxonomy (ADS-KT) has emerged as a powerful strategy for identifying and categorizing patterns that exhibit unexpected behaviors, being useful for monitoring environmental disasters and mapping their consequence
Externí odkaz:
https://doaj.org/article/b83e1179507d4af287fa2c5a7d4aef10
Autor:
Giovanna Carreira Marinho, Wilson Estécio Marcílio Júnior, Mauricio Araujo Dias, Danilo Medeiros Eler, Rogério Galante Negri, Wallace Casaca
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 4085 (2023)
Dimensionality reduction is one of the most used transformations of data and plays a critical role in maintaining meaningful properties while transforming data from high- to low-dimensional spaces. Previous studies, e.g., on image analysis, comparing
Externí odkaz:
https://doaj.org/article/87f9baf64c894d10961b652ff0632ae4
Autor:
Alberto Dumont Alves Oliveira, Paulo Sérgio Henrique Dos Santos, Wilson Estécio Marcílio Júnior, Wajdi M Aljedaani, Danilo Medeiros Eler, Marcelo Medeiros Eler
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Publikováno v:
Intelligent Systems ISBN: 9783030613761
BRACIS
BRACIS
Filter selection in convolutional neural networks aims at finding the most important filters in a convolutional layer, with the goal of reducing computational costs and needed storage, as well as understanding the networks’ inner workings. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::735634c43e61dd9d4a575e9099d9ee57
https://doi.org/10.1007/978-3-030-61377-8_34
https://doi.org/10.1007/978-3-030-61377-8_34
Autor:
Rogério Eduardo Garcia, Wilson Estécio Marcílio Júnior, Lenon Fachiano Silva, Ronaldo Celso Messias Correia, Danilo Medeiros Eler
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030430191
In this paper, we propose a hybrid visualization by combining a projection based approach with star plot visualization to inspect feature spaces. While the projection based visualization is used to depict the instances similarities from high-dimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1605505ed0ee7598e098b19ce6f31a7
https://doi.org/10.1007/978-3-030-43020-7_32
https://doi.org/10.1007/978-3-030-43020-7_32
Autor:
Matheus Batista, Rogério Eduardo Garcia, Wilson Estécio Marcílio Júnior, Danillo Roberto Pereira, Danilo Medeiros Eler
Publikováno v:
BRACIS
Optimum-path forest (OPF) is a graph based classifier in which the training process computes optimum-path trees rooted by prototype instances. Thus, one or more optimum-path trees represent each class and the testing process is based on identifying w
Publikováno v:
BRACIS
Dimensionality Reduction is a commonly used method to reduce the number of dimensions of data. In this work, we verified its influence in classification process using combinations of projection techniques as dimensionality reduction algorithms. We al
Autor:
Wilson Estécio Marcílio Júnior, Rogério Eduardo Garcia, Priscila Alves Macanha, Danilo Medeiros Eler
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319549774
Several works have presented distinct ways to compute feature descriptor from different applications and domains. A main issue in Computer Vision systems is how to choose the best descriptor for specific domains. Usually, Computer Vision experts try
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f694ec11034814f555595cc4d7c1445
https://doi.org/10.1007/978-3-319-54978-1_87
https://doi.org/10.1007/978-3-319-54978-1_87