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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(9)
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2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
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scopus(26)
A 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: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: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: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: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: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:scopusHierarchical graphs for data clustering
Conference ObjectAbstract: The self-organizing map (SOM) has been used in multiple areas and constitutes an excellent tool forPalabras claves:data clustering, Graph-based representation, hierarchical clustering, Intrusion Detection Systems, Self-OrganizationAutores:Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopus