981 resultados para León X, Papa, 1475-1521-Retrats-Gravat


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El desplazamiento forzado por la violencia en Colombia se ha convertido en un fenómeno social y humanitario. La calidad de vida de esta población se afecta y por ende presentan un alto riesgo de enfermar debido a las condiciones a la cual se enfrentan, aumentado así la carga de las enfermedades en este caso a la tuberculosis que es una enfermedad que continua siendo un problema de salud pública a pesar de ser prevenible y curable. Se realizó una encuesta transversal con el objetivo de medir la prevalencia de sintomáticos respiratorios y de tuberculosis en la población en condición de desplazamiento de Bucaramanga.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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In this work, a new approach for supervised pattern recognition is presented which improves the learning algorithm of the Optimum-Path Forest classifier (OPF), centered on detection and elimination of outliers in the training set. Identification of outliers is based on a penalty computed for each sample in the training set from the corresponding number of imputable false positive and false negative classification of samples. This approach enhances the accuracy of OPF while still gaining in classification time, at the expense of a slight increase in training time. © 2010 Springer-Verlag.

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Parkinson's disease (PD) automatic identification has been actively pursued over several works in the literature. In this paper, we deal with this problem by applying evolutionary-based techniques in order to find the subset of features that maximize the accuracy of the Optimum-Path Forest (OPF) classifier. The reason for the choice of this classifier relies on its fast training phase, given that each possible solution to be optimized is guided by the OPF accuracy. We also show results that improved other ones recently obtained in the context of PD automatic identification. © 2011 IEEE.

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Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that may range from moderate to high. The problem has been addressed via computational image analysis, but only for a few species and images free of fecal impurities. In routine, fecal impurities are a real challenge for automatic image analysis. We have circumvented this problem by a method that can segment and classify, from bright field microscopy images with fecal impurities, the 15 most common species of protozoan cysts, helminth eggs, and larvae in Brazil. Our approach exploits ellipse matching and image foresting transform for image segmentation, multiple object descriptors and their optimum combination by genetic programming for object representation, and the optimum-path forest classifier for object recognition. The results indicate that our method is a promising approach toward the fully automation of the enteroparasitosis diagnosis. © 2012 IEEE.

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Tit. tomado del comienzo del texto

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En la parte inferior consta: "The original Picture burnt at Belvoir Castle"

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Resumen: Descripción: Busto. Ovalo en marco rectangular. En la parte superior, guirnalda de laurel; en la inferior, instrumento musical y máscara.

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Resumen: Descripción: retrato de niño sentado, sin vestiduras y con una serpiente enroscada en la cabeza que representa a Roscio

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Resumen: Descripción: retrato de tres cuartos de figura de frente, mirando ligeramente hacia la izquierda. Con la mano derecha nos muestra una pequeña bola

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Resumen: Descripción: retrato de Lope de Vega de tres cuartos de figura, ligeramente hacia la derecha, mirando de frente

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Resumen: Descripción: retrato de busto de César basado en una escultura