Mostrando 10 resultados de: 19
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(6)
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scopus(19)
Bregman divergences for growing hierarchical self-organizing networks
ArticleAbstract: Growing hierarchical self-organizing models are characterized by the flexibility of their structure,Palabras claves:Bregman divergences, classification, self organization, VisualizationAutores:Domínguez E., Esteban José Palomo, López-Rubio E.Fuentes:scopusAn intrusion detection system based on hierarchical self-organization
Conference ObjectAbstract: An intrusion detection system (IDS) monitors the IP packets flowing over the network to capture intrPalabras claves:intrusion detection, Network security, Self-OrganizationAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusA Competitive Neural Network for Intrusion Detection Systems
Conference ObjectAbstract: Detecting network intrusions is becoming crucial in computer networks. In this paper, an Intrusion DPalabras claves:Competitive learning, Data Mining, Intrusion detection system, Network securityAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusA dipolar competitive neural network for video segmentation
Conference ObjectAbstract: This paper present a video segmentation method which separate pixels corresponding to foreground froPalabras claves:Autores:Domínguez E., Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M.Fuentes:scopusA self-organized multiagent system for intrusion detection
Conference ObjectAbstract: This paper describes a multiagent system with capabilities to analyze and discover knowledge gatherePalabras claves:Data Mining, Growing self-organization, multiagent system, Network securityAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusA self-organizing map to improve vehicle detection in flow monitoring systems
ArticleAbstract: The obtaining of perfect foreground segmentation masks still remains as a challenging task in videoPalabras claves:object detection, postprocessing techniques, Self-organizing neural networks, Surveillance systems, traffic monitoringAutores:Domínguez E., Esteban José Palomo, Jerez-Aragonés J.M., López-Rubio E., Luque-Baena R.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:scopusDeep learning-based video surveillance system managed by low cost hardware and panoramic cameras
ArticleAbstract: The design of automated video surveillance systems often involves the detection of agents which exhiPalabras claves:Convolutional neural network, feed forward neural network, foreground detection, panoramic cameraAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E.Fuentes:scopusDynamic tree topology learning by self-organization
ArticleAbstract: The discovery of the underlying topology of real-world data is a difficult task due to the high-dimePalabras claves:Computer Vision, Self-organizing map topologies, Spanning trees, unsupervised learningAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.Fuentes:scopus