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scopus(22)
A 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: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: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:scopusFrame size reduction for foreground detection in video sequences
Conference ObjectAbstract: A frame resolution reduction framework to reduce the computational load and improve the foreground dPalabras claves:foreground detection, Interpolation techniques, Video size reductionAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.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:scopusGrowing hierarchical probabilistic self-organizing graphs
ArticleAbstract: Since the introduction of the growing hierarchical self-organizing map, much work has been done on sPalabras claves:classification, Hierarchical self-organization, unsupervised learning, Visualization, Web miningAutores:Esteban José Palomo, López-Rubio E.Fuentes:scopusHierarchical self-organizing networks for multispectral data visualization
Conference ObjectAbstract: Image segmentation is a typical task in the field of image processing. There is a great number of imPalabras claves:data clustering, hierarchical self-organizing maps, Multispectral data, Self-OrganizationAutores:Domínguez E., 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:scopus