Mostrando 10 resultados de: 68
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(21)
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2022 IEEE International Workshop on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022 - Proceedings(2)
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Origen
scopus(68)
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 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: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 Novel Continual Learning Approach for Competitive Neural Networks
Conference ObjectAbstract: Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgettinPalabras claves:Competitive neural networks, Continual learning, unsupervised learningAutores:Esteban José Palomo, Fernández-Rodríguez J.D., López-Rubio E., Maza-Quiroga R.M., Ortiz-de-Lazcano-Lobato J.M.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:scopus