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Building networks for image segmentation using particle competition and cooperation
(2017-01-01)
Particle competition and cooperation (PCC) is a graph-based semi-supervised learning approach. When PCC is applied to interactive image segmentation tasks, pixels are converted into network nodes, and each node is connected ...
Construcción de grafos de k vecinos en espacios métricos de alta dimensionalidad
(Universidad de Talca (Chile). Escuela de Ingeniería Civil en Computación., 2013)
Automatic Classification Of Lithofacies Using Fast Independent Component Analysis
(Sociedade Brasileira de Geofisica, 2015)
Region-based classification of PolSAR data through kernel methods and stochastic distances
(2018-01-01)
Stochastic distances combined with Minimum Distance method for region-based classification of Polarimetric Synthetic Aperture Radar (PolSAR) image was successfully verified in Silva et al. (2013). Methods like K-Nearest ...
Interactive image segmentation using label propagation through complex networks
(2019-06-01)
Interactive image segmentation is a topic of many studies in image processing. In a conventional approach, a user marks some pixels of the object(s) of interest and background, and an algorithm propagates these labels to ...
Montagem de infraestrutura e predição de trajetória em redes veiculares
(Universidade Federal de Minas GeraisUFMG, 2013-07-03)
Vehicular Ad-Hoc Networks (Vanets) are networks composed by vehicles within sensing and communication capabilities and that exchange messages among themselves or among access points deployed in the region. Data collected ...