Buscar
Mostrando ítems 1-10 de 49
Classificador neural híbrido para imagens obtidas por sensoriamento remoto
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Engenharia ElétricaAutomação e Sistemas; Engenharia de Computação; Telecomunicações, 2011-08-12)
Remote sensing is one technology of extreme importance, allowing capture of data from the Earth's surface that are used with various purposes, including, environmental monitoring, tracking usage of natural resources, ...
Object Recognition in Noisy RGB-D Data
(01/01/2015)
The object recognition task on 3D scenes is a growing research field that faces some problems relative to the use of 3D point clouds. In this work, we focus on dealing with noisy clouds through the use of the Growing Neural ...
Growing neural gas as a memory mechanism of a heuristic to solve a community detection problem in networks
(Funpec-Editora, 2016)
Iterative heuristics are commonly used to address combinatorial optimization problems. However, to meet both robustness and efficiency with these methods when their iterations are independent, it is necessary to consider ...
Object recognition in noisy RGB-D data using GNG
(Pattern Analysis and ApplicationsPattern Analysis and Applications, 04/26/2016)
Object recognition in 3D scenes is a research field in which there is intense activity guided by the problems related to the use of 3D point clouds. Some of these problems are influenced by the presence of noise in the ...
Active consensus-based semi-supervised growing neural gas
(2016-01-01)
In this paper, we propose a new active semi-supervised growing neural gas (GNG) model, named Active Consensus-Based Semi-Supervised GNG, or ACSSGNG. This model extends the former CSSGNG model by introducing an active ...
A strategy for time series prediction using segment growing neural gas
(IEEE, 2017)
Segment Growing Neural Gas (Segment-GNG) has been recently proposed as a new spatiotemporal quantization method for time series. Unlike traditional quantization algorithms that are prototype-based, Segment-GNG uses segments ...
Object segmentation using growing neural gas and generalized gradient vector flow in the geometric algebra framework
(SPRINGER-VERLAG BERLIN, 2006)
Object segmentation using growing neural gas and generalized gradient vector flow in the geometric algebra framework
(SPRINGER-VERLAG BERLIN, 2006)