Mostrando 10 resultados de: 35
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(16)
Neural Processing Letters(3)
Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010(2)
Proceedings of the International Joint Conference on Neural Networks(2)
Studies in Computational Intelligence(2)
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scopus(35)
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: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 New Self-Organizing Neural Gas Model based on Bregman Divergences
Conference ObjectAbstract: In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman NeurPalabras claves:Autores:Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopusA competitive neural network for multiple object tracking in video sequence analysis
Conference ObjectAbstract: Tracking of moving objects in real situation is a challenging research issue, due to dynamic changesPalabras claves:feature selection, Feature weigthing, Genetic Algorithms, Growing competitive neural networks, Multiple object trackingAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.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 neighborhood-based competitive network for video segmentation and object detection
Conference ObjectAbstract: This work proposes an unsupervised competitive neural network based on adaptive neighborhoods for viPalabras claves:Autores:Domínguez E., Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M.Fuentes:scopusA neural network approach for video object segmentation in traffic surveillance
Conference ObjectAbstract: This paper presents a neural background modeling based on subtraction approach for video object segmPalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Munõz J.Fuentes:scopusA neural recognition system for manufactured objects
Conference ObjectAbstract: This paper presents a neural recognition system for manufacturing applications in difficult industriPalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusA new GHSOM model applied to network security
Conference ObjectAbstract: The self-organizing map (SOM) have shown to be successful for the analysis of high-dimensional inputPalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopus