981 resultados para Bonfigli, Benedetto, 1420-1496.
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Mode of access: Internet.
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Introd. and commentary by Joseph Haslewood.
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Bibliography and index: p. [217]-223.
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Each volume has brief title "I diarii di Marino Sanuto".
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Mode of access: Internet.
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Mode of access: Internet.
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Issued in 2 parts.
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Includes index.
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Edited by D. Moreni.
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Includes index.
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Los estudios sobre la comunidad genovesa del Reino de Granada suelen centrarse en las actividades desarrolladas en el territorio y rara vez en la reconstrucción de trayectorias individuales, circunstancia determinada por el recurso casi exclusivo a los protocolos notariales. El caso de Francesco Grimaldi es singular por muchas razones: su localización en fuentes de naturaleza muy variada –protocolos notariales de Granada y Málaga, Registro del Sello de Simancas y Granada, Chancillería de Valladolid, el epistolario del comendador Fuensalida y el archivo privado de la familia Grimaldo de Cáceres– ha permitido seguir su presencia y sus actividades en Granada, la Corte e Inglaterra –donde desempeñó un papel fundamental en el matrimonio entre Catalina de Aragón y Enrique VIII–. Así se conoce su interés por los préstamos y el negocio de la renta, las circunstancias de su matrimonio con Francisca de Cáceres y la adquisición de un importante patrimonio en el reino granadino.
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The recently proposed data-driven background dataset refinement technique provides a means of selecting an informative background for support vector machine (SVM)-based speaker verification systems. This paper investigates the characteristics of the impostor examples in such highly-informative background datasets. Data-driven dataset refinement individually evaluates the suitability of candidate impostor examples for the SVM background prior to selecting the highest-ranking examples as a refined background dataset. Further, the characteristics of the refined dataset were analysed to investigate the desired traits of an informative SVM background. The most informative examples of the refined dataset were found to consist of large amounts of active speech and distinctive language characteristics. The data-driven refinement technique was shown to filter the set of candidate impostor examples to produce a more disperse representation of the impostor population in the SVM kernel space, thereby reducing the number of redundant and less-informative examples in the background dataset. Furthermore, data-driven refinement was shown to provide performance gains when applied to the difficult task of refining a small candidate dataset that was mis-matched to the evaluation conditions.