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An anomaly detection system using a GHSOM-1
Conference ObjectAbstract: An anomaly detection system based on a hierarchical self-organizing neural network is presented. ThePalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusDeep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
Conference ObjectAbstract: Social conflicts appearing in the media are increasing public awareness about security issues, resulPalabras claves:deep learning, panoramic cameras, Power saving, video surveillanceAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ramos-Jimenez G.Fuentes:scopusDeep learning-based anomalous object detection system powered by microcontroller for PTZ cameras
Conference ObjectAbstract: Automatic video surveillance systems are usually designed to detect anomalous objects being presentPalabras claves:Convolutional neural network, feed forward neural network, foreground detection, PTZ cameraAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusImage Clustering Using a Growing Neural Gas with Forbidden Regions
Conference ObjectAbstract: Clustering is one of the most common applications of unsupervised learning, being present in many stPalabras claves:Forbidden regions, Growing Neural Gas (GNG), unsupervised learning, vector quantizationAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, Ramos A.D.Fuentes:scopusImage compression based on growing hierarchical self-organizing maps
Conference ObjectAbstract: Self-Organizing Maps (SOM) have some problems related to its fixed topology and its lack of represenPalabras claves:Autores:Domínguez E., Esteban José PalomoFuentes:scopus