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scopus(68)
Growing competitive network for tracking objects in video sequences
Conference ObjectAbstract: The aim of this paper is to present the use of Growing Competitive Neural Networks as a precise methPalabras claves:Autores:Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.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 color quantization based on self-organization
ArticleAbstract: In this paper, a new hierarchical color quantization method based on self-organizing maps that proviPalabras claves:Color quantization, GHSOM, Hierarchical compression, Self-OrganizationAutores:Domínguez E., Esteban José PalomoFuentes: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: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:scopusFeature selection of hand biometrical traits based on computational intelligence techniques
Conference ObjectAbstract: This chapter presents a novel methodology for using feature selection in hand biometric systems, basPalabras claves:Autores:Elizondo D., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.Fuentes:scopusFeature weighting in competitive learning for multiple object tracking in video sequences
Conference ObjectAbstract: Object tracking in video sequences remains as one of the most challenging problems in computer visioPalabras claves:Autores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.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:scopus