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A New Self-Organizing Neural Gas Model based on Bregman Divergences
Conference ObjectAbstract: In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman NeurPalabras claves:Autores:Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopusAre learning styles useful? A new software to analyze correlations with grades and a case study in engineering
ArticleAbstract: Knowing student learning styles represents an effective way to design the most suitable methodologyPalabras claves:ACADEMIC PERFORMANCE, Evaluation, GRADE, Learning style, virtual campusAutores:Esteban José Palomo, Molina-Cabello D., Molina-Cabello M.A., Thurnhofer-Hemsi K.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:scopusPixel features for self-organizing map based detection of foreground objects in dynamic environments
Conference ObjectAbstract: Among current foreground detection algorithms for video sequences, methods based on self-organizingPalabras claves:background features, background modeling, foreground detection, Probabilistic self-organising mapsAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopusSmart motion detection sensor based on video processing using self-organizing maps
ArticleAbstract: Most current approaches to computer vision are based on expensive, high performance hardware to meetPalabras claves:Arduino, Block processing, IMAGE PROCESSING, microcontroller, self-organizing mapAutores:Esteban José Palomo, Francisco Ortega-Zamorano, López-Rubio E., Molina-Cabello M.A.Fuentes:scopusThe effect of noise on foreground detection algorithms
ArticleAbstract: Background segmentation methods are exposed to the effects of different kinds of noise due to the liPalabras claves:background modeling, Covariance matrix regularization, foreground detection, Gaussian noise, Uniform noiseAutores:Domínguez E., Esteban José Palomo, López-Rubio E., López-Rubio F.J., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopus