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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(9)
Proceedings of the International Joint Conference on Neural Networks(4)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
Advances in Intelligent Systems and Computing(1)
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scopus(26)
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 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: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 self-organizing map for traffic flow monitoring
Conference ObjectAbstract: Most of object detection algorithms do not yield perfect foreground segmentation masks. These errorsPalabras 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: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:scopusContinuous chemical classification in uncontrolled environments with sliding windows
ArticleAbstract: Electronic noses are sensing devices that are able to classify chemical volatiles according to the rPalabras claves:Artificial olfaction, Chemical classification, Chemical sensor array, E-nose, online, Sliding windowAutores:Esteban José Palomo, Gonzalez-Jimenez J., López-Rubio E., Monroy J.G.Fuentes:scopusGA-based feature selection approach in biometric hand systems
Conference ObjectAbstract: In this paper, a novel methodology for using feature selection in hand biometric systems, based on gPalabras claves:Autores:Elizondo D., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.Fuentes:scopusExploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest
ArticleAbstract: In this paper, a new self-organizing artificial neural network called growing hierarchical neural foPalabras claves:Clustering, image segmentation, Self-Organization, TEXT MININGAutores:Benítez-Rochel R., Esteban José Palomo, Francisco Ortega-Zamorano, López-Rubio E.Fuentes:scopusExtended abstract: A color quantization approach based on the Growing Neural Forest
Conference ObjectAbstract: In this work, a novel color quantization approach based on the Growing Neural Forest (GNF) is proposPalabras claves:Color quantization, Self-Organization, Tree-structured model, unsupervised learningAutores:Esteban José Palomo, López-Rubio E.Fuentes:scopusDynamic topology learning with the probabilistic self-organizing graph
ArticleAbstract: Self-organizing neural networks are usually focused on prototype learning, while the topology is helPalabras claves:classification, Image quantization, image segmentation, Self-Organization, unsupervised learning, VisualizationAutores:Carmen Vargas-González M., Esteban José Palomo, López-Rubio E., Miguel Ortiz-de-Lazcano-Lobato J.Fuentes:scopus