Mostrando 10 resultados de: 53
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(5)
Advances in Intelligent Systems and Computing(4)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(4)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(3)
European Signal Processing Conference(3)
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Métodos informáticos especiales(29)
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Classification of cattle coat color based on genotype using pattern recognition methods
Conference ObjectAbstract: Several current research projects are focused on the creation of haplotype maps to identify and descPalabras claves:Coat Color, Genotype, pattern recognition, Single nucleotide polymorphismAutores:Ballarin V.L., Brun M., Comas D., Corva P.M., Marco E. Benalcázar, Meschino G., Pagnuco I.Fuentes:googlescopusAutomatic Design of Ensembles of Window Operators for Ocular Image Segmentation
ArticleAbstract: W-operators are a nonlinear class of locally defined and translation invariant image operators. A W-Palabras claves:classification, Ensemble of Classifiers, IMAGE PROCESSING, mathematical morphology, Neural networks, Ocular Images, segmentation, wavelet transformAutores:Ballarin V.L., Brun M., Hidalgo R., Marco E. BenalcázarFuentes:scopusAutomatic design of aperture filters using neural networks applied to ocular image segmentation
Conference ObjectAbstract: Aperture filters are image operators which combine mathematical morphology and pattern recognition tPalabras claves:Aperture filters, Ensemble of Classifiers, IMAGE PROCESSING, mathematical morphology, Neural networks, pattern recognitionAutores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopusAutomatic design of binary W-operators using artificial feed-forward neural networks based on the weighted mean square error cost function
Conference ObjectAbstract: One of the main issues concerning automatic design of W-operators is the one of generalization. ConsPalabras claves:Artificial Neural Network, Nonlinear regression, pattern recognition, pyramidal multiresolution, W-operators, weighted mean square errorAutores:Ballarin V.L., Brun M., Marco E. Benalcázar, Meschino G., Passoni I., Pra L.Fuentes:googlescopusAutomatic design of window operators for the segmentation of the prostate gland in magnetic resonance images
Conference ObjectAbstract: W-operators are nonlinear image operators that are translation invariant and locally defined insidePalabras claves:Feed-forward neural network, magnetic resonance, Prostate gland, segmentation, W-operatorAutores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopusAutomatic segmentation of exudates in ocular images using ensembles of aperture filters and logistic regression
Conference ObjectAbstract: Hard and soft exudates are the main signs of diabetic macular edema (DME). The segmentation of bothPalabras claves:Autores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopusBayes clustering operators for known random labeled point processes
Conference ObjectAbstract: There is a widespread belief that clustering is inherently subjective. To quote A. K. Jain, 'As a taPalabras claves:Autores:Brun M., Dalton L.A., Dougherty E.R., Marco E. BenalcázarFuentes:googlescopusAn interactive system to improve cognitive abilities using electromyographic signals
Conference ObjectAbstract: This article presents a system for improving people's cognitive abilities using electromyography (EMPalabras claves:Hand-Gesture Recognition Mode, matlab, Serious Game, Support Vector Machine, Unity 3DAutores:Ángel Leonardo Valdivieso Caraguay, Freddy Benalcazar Palacios, Jaime R. Guilcapi, Lorena Isabel Barona López, Marco E. Benalcázar, Rubén Nogales, Xavier AguasFuentes:googlescopusAnalytic representation of bayes labeling and bayes clustering operators for random labeled point processes
ArticleAbstract: Clustering algorithms typically group points based on some similarity criterion, but without referenPalabras claves:Bayes classification, Bayesian estimation, Clustering, pattern recognition, small samplesAutores:Brun M., Dalton L.A., Dougherty E.R., Marco E. BenalcázarFuentes:googlescopus2D semantic segmentation of the prostate gland in magnetic resonance images using convolutional neural networks
Conference ObjectAbstract: Convolutional Neural Networks is one of the most commonly used methods for automatic prostate segmenPalabras claves:Central Gland, convolutional neural networks, Encoder-Classifier, Encoder-Decoder, MRIs, NCI-ISBI 2013, Peripheral Zone, Prostate Segmentation, U-net, VGG16Autores:Marco E. Benalcázar, Silvia P. VacacelaFuentes:googlescopus