Mostrando 10 resultados de: 30
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(7)
Proceedings of the International Joint Conference on Neural Networks(4)
2022 IEEE International Workshop on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022 - Proceedings(2)
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scopus(30)
Assessment of geometric features for individual identification and verification in biometric hand systems
ArticleAbstract: This paper studies the reliability of geometric features for the identification of users based on haPalabras claves:Genetic Algorithms, Geometric features, Hand biometrics, User identificationAutores:Elizondo D., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Watson T.Fuentes:scopusBregman 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:scopus