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Análisis numérico
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Gregorian chants
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Coros sacros (Voces mixtas) con orquesta
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Coros sacros (Voces mixtas) y conjunto instrumental
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Data of trees of the same age, but established in different years, were analyzed
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Datos geoespaciales
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Deforestation was associated with low-slope areas, close to localities with a larger male population
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Dies irae (Música)
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Diseño experimental
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Easter music
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El bosque de encino se deforestó previo al decreto de la RBTC con tasa anual de cambio de -0.97 %
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El cambio se analizó en el periodo previo (1979-2001) y posterior (2001-2011) al decreto de la RBTC
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El rendimiento maderable ha sido sostenido con base en la estabilidad o aumento de las dimensiones de los árboles
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En el periodo posterior al decreto, el bosque se recuperó con una tasa anual de cambio de 0.22 %
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Funciones de Green
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Física matemática
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Hoja electrónica
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In the period after the decree, the forest recovered at an annual change rate of 0.22 %
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Infraestructura de datos espaciales
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222“…This paper describes the efficiency of the method, depending on the windowing function applied to the signal samples. A typical interpolation gain is one order of magnitude. Better results are obtained with Gaussian interpolation, offering frequency resolution improvement by more than two orders of magnitude when used with windows having fast sidelobe decay. …”
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223“…This paper describes the efficiency of the method, depending on the windowing function applied to the signal samples. A typical interpolation gain is one order of magnitude. Better results are obtained with Gaussian interpolation, offering frequency resolution improvement by more than two orders of magnitude when used with windows having fast sidelobe decay. …”
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224“…We propose a joint super resolution (SR) and frame interpolation framework that can perform both spatial and temporal super resolution. …”
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225“…Then, combined with the advantages of KNN algorithm, an interpolation model for calculating the radius of the curve is established based on RBF algorithm, and the radius of the tunnel curve is reconstructed and predicted. …”
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226por Zhu, Zhixuan, He, Xin, Li, Chunlai, Liu, Shijie, Jiang, Kun, Li, Kang, Wang, Jianyu“…This paper presents a spatial-interpolation-based algorithm to improve the resolution of the visual attention area. …”
Publicado 2023
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227“…The model gets the correlation among channels by learning from good channel data. Interpolation assigns weights based on learned correlations without the need for electrode location information, solving the difficulty that traditional methods cannot interpolate bad channels at unknown locations. …”
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228“…We show that the miniature brain of honeybees initially demonstrate a low tolerance for novel views of complex shapes (e.g. human faces), but can learn to recognise novel views of stimuli by interpolating between or ‘averaging’ views they have experienced. …”
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231“…This study proposed a new fiber tracking strategy based on tri-linear interpolation. We selected a patient with acute infarction of the right basal ganglia and designed experiments based on either the tri-linear interpolation algorithm or tensorline algorithm. …”
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232“…This paper explores the use of different interpolation functions to complete the fingerprint mapping needed to achieve the sought accuracy, thereby reducing the effort in the training step. …”
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233por Vuckovic, Stefan, Irons, Tom J. P., Savin, Andreas, Teale, Andrew M., Gori-Giorgi, Paola“…In this work we use accurate input local ingredients to assess the accuracy of a range of local interpolation models against accurate exchange–correlation energy densities. …”
Publicado 2016
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234“…This paper presents a novel motion compensated frame interpolation (MCFI) algorithm that includes texture-based wedgelet partitioning (TWP) and multiple prediction based search (MPS). …”
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236“…A fast and robust interpolation filter based on finite difference TPS has been proposed in this paper. …”
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237“…In this paper, coarray interpolation based on matrix completion (MC) followed by a denoising operation is proposed to detect more sources with a higher accuracy. …”
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238“…In order to use the complete coarray information to increase the degrees-of-freedom (DOFs), sparsity-aware-based methods and the difference coarray interpolation methods have been proposed. In this paper, the coarray interpolation technique is further explored with cyclostationary signals. …”
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239“…Motivated by the method of interpolating inequalities that makes use of the improved Jensen-type inequalities, in this paper we integrate this approach with the well known Zipf–Mandelbrot law applied to various types of f-divergences and distances, such are Kullback–Leibler divergence, Hellinger distance, Bhattacharyya distance (via coefficient), [Formula: see text] -divergence, total variation distance and triangular discrimination. …”
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240“…We establish some reiteration theorems for limiting K-interpolation methods, thereby obtaining new limiting variants of the classical reiteration theorem. …”
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