ListarLCC - Contribuciones a congresos científicos por tema "Neural networks"
Mostrando ítems 1-3 de 3
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A generic LSTM neural network architecture to infer heterogeneous model transformations.
Models capture relevant properties of systems. During the models’ life-cycle, they are subjected to manipulations with different goals such as managing software evolution, performing analysis, increasing developers’ ... -
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences
Palomo-Ferrer, Esteban José
; Benito-Picazo, Jesús; Domínguez-Merino, Enrique; López-Rubio, Ezequiel; Ortega-Zamorano, Francisco (Springer, 2021-09)
In this paper, a new color quantization method based on a self-organized artificial neural network called the Growing Hierarchical Bregman Neural Gas (GHBNG) is proposed. This neural network is based on Bregman divergences, ... -
Road pollution estimation using static cameras and neural networks
Molina-Cabello, Miguel Ángel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Deka, Lipika; Thurnhofer-Hemsi, Karl (2018-07-19)
Este artículo presenta una metodología para estimar la contaminación en carreteras mediante el análisis de secuencias de video de tráfico. El objetivo es aprovechar la gran red de cámaras IP existente en el sistema de ...