974 resultados para CLASSICAL PHENOTYPE


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El artículo está destinado a subrayar el proyecto ARISTARCUS, un conjunto de herramientas de trabajo para la investigación y la enseñanza en temas del área de mundo antiguo Griego y Latino y está disponible en el sitio web www.aristarchus.unige.it. Ha sido llevado a cabo por el grupo de investigación del Dipartimento di Archeologia e Filologia Classica (DARFICLET) de la Universidad de Génova, dirigido por el Profesor Franco Montanari. El sitio web incluye cinco ítems: 1) LGGA - Léxico de los Gramáticos Griegos Antiguos; 2) PAWAG - Palabras escasamente atestadas en Griego Antiguo; 3) CPhCl - Catalogus Philologorum Classicorum; 4) CIAPh - Centro Italiano de l'Année Philologique; 5) Mediaclassica, un conjunto de herramientas para la enseñanza de Griego y Latín.

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Fil: Galán, Lía Margarita. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

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Fil: Fernández Deagustini, María del Pilar. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Instituto de Investigaciones en Humanidades y Ciencias Sociales (UNLP-CONICET); Argentina.

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Fil: Fernández Deagustini, María del Pilar. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

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El artículo está destinado a subrayar el proyecto ARISTARCUS, un conjunto de herramientas de trabajo para la investigación y la enseñanza en temas del área de mundo antiguo Griego y Latino y está disponible en el sitio web www.aristarchus.unige.it. Ha sido llevado a cabo por el grupo de investigación del Dipartimento di Archeologia e Filologia Classica (DARFICLET) de la Universidad de Génova, dirigido por el Profesor Franco Montanari. El sitio web incluye cinco ítems: 1) LGGA - Léxico de los Gramáticos Griegos Antiguos; 2) PAWAG - Palabras escasamente atestadas en Griego Antiguo; 3) CPhCl - Catalogus Philologorum Classicorum; 4) CIAPh - Centro Italiano de l'Année Philologique; 5) Mediaclassica, un conjunto de herramientas para la enseñanza de Griego y Latín.

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El artículo está destinado a subrayar el proyecto ARISTARCUS, un conjunto de herramientas de trabajo para la investigación y la enseñanza en temas del área de mundo antiguo Griego y Latino y está disponible en el sitio web www.aristarchus.unige.it. Ha sido llevado a cabo por el grupo de investigación del Dipartimento di Archeologia e Filologia Classica (DARFICLET) de la Universidad de Génova, dirigido por el Profesor Franco Montanari. El sitio web incluye cinco ítems: 1) LGGA - Léxico de los Gramáticos Griegos Antiguos; 2) PAWAG - Palabras escasamente atestadas en Griego Antiguo; 3) CPhCl - Catalogus Philologorum Classicorum; 4) CIAPh - Centro Italiano de l'Année Philologique; 5) Mediaclassica, un conjunto de herramientas para la enseñanza de Griego y Latín.

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Stereo video techniques are effective for estimating the space-time wave dynamics over an area of the ocean. Indeed, a stereo camera view allows retrieval of both spatial and temporal data whose statistical content is richer than that of time series data retrieved from point wave probes. Classical epipolar techniques and modern variational methods are reviewed to reconstruct the sea surface from the stereo pairs sequentially in time. Current improvements of the variational methods are presented.

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The classical theory of intermittency developed for return maps assumes uniform density of points reinjected from the chaotic to laminar region. Though it works fine in some model systems, there exist a number of so-called pathological cases characterized by a significant deviation of main characteristics from the values predicted on the basis of the uniform distribution. Recently, we reported on how the reinjection probability density (RPD) can be generalized. Here, we extend this methodology and apply it to different dynamical systems exhibiting anomalous type-II and type-III intermittencies. Estimation of the universal RPD is based on fitting a linear function to experimental data and requires no a priori knowledge on the dynamical model behind. We provide special fitting procedure that enables robust estimation of the RPD from relatively short data sets (dozens of points). Thus, the method is applicable for a wide variety of data sets including numerical simulations and real-life experiments. Estimated RPD enables analytic evaluation of the length of the laminar phase of intermittent behaviors. We show that the method copes well with dynamical systems exhibiting significantly different statistics reported in the literature. We also derive and classify characteristic relations between the mean laminar length and main controlling parameter in perfect agreement with data provided by numerical simulations

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MP2RAGE has proven to be a bias-free MR acquisition with excellent contrast between grey and white matter. We investigated the ability of three state-of-the-art algorithms to automatically extract white matter (WM), grey matter (GM) and cerebrospinal fluid (CSF) from MPRAGE and MP2RAGE images: unified Segmentation (S) in SPM82 , its extension New Segment (NS), and an in-house Expectation-Maximization Markov Random Field tissue classification3 (EM-MRF) with Graph Cut (GC) optimization4 . Our goal is to quantify the differences between MPRAGE and MP2RAGE-based brain tissue probability maps.

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MFCC coefficients extracted from the power spectral density of speech as a whole, seems to have become the de facto standard in the area of speaker recognition, as demonstrated by its use in almost all systems submitted to the 2013 Speaker Recognition Evaluation (SRE) in Mobile Environment [1], thus relegating to background this component of the recognition systems. However, in this article we will show that selecting the adequate speaker characterization system is as important as the selection of the classifier. To accomplish this we will compare the recognition rates achieved by different recognition systems that relies on the same classifier (GMM-UBM) but connected with different feature extraction systems (based on both classical and biometric parameters). As a result we will show that a gender dependent biometric parameterization with a simple recognition system based on GMM- UBM paradigm provides very competitive or even better recognition rates when compared to more complex classification systems based on classical features