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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(3)
Advances in Intelligent Systems and Computing(1)
International Journal of Neural Systems(1)
Neural Computing and Applications(1)
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Métodos informáticos especiales(8)
Ciencias de la computación(6)
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scopus(15)
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: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:scopusNetwork security using growing hierarchical self-organizing maps
Conference ObjectAbstract: This paper presents a hierarchical self-organizing neural network for intrusion detection. The propoPalabras claves:Intrusion detection system, Network security, Self-OrganizationAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusLossy image compression using a GHSOM
Conference ObjectAbstract: A new approach for image compression based on the GHSOM model has been proposed in this paper. The SPalabras claves:data clustering, image compression, Self-OrganizationAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusImage Clustering Using a Growing Neural Gas with Forbidden Regions
Conference ObjectAbstract: Clustering is one of the most common applications of unsupervised learning, being present in many stPalabras claves:Forbidden regions, Growing Neural Gas (GNG), unsupervised learning, vector quantizationAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, Ramos A.D.Fuentes:scopusImage compression based on growing hierarchical self-organizing maps
Conference ObjectAbstract: Self-Organizing Maps (SOM) have some problems related to its fixed topology and its lack of represenPalabras claves:Autores:Domínguez E., Esteban José PalomoFuentes:scopus