183 resultados para Iteration graphics


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Geografia - FCT

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Ciências Cartográficas - FCT

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Pós-graduação em Biopatologia Bucal - ICT

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This study attempted to observe the performance of three types of diamonds, two natural and one synthetic, to determine which features longer life and greater wear than the others. The methodology employed in this study was to dressed an aluminum oxide grinding wheel, and every twenty paces with a advance of depth dressing of 40 µm per passes, take an image of the tip in a horizontal position and the other in the vertical position of this diamond in a stereoscopic. Thereafter, the dresser was replaced in the rectifier to conduct a new dressing. The criteria to completion of the test was the spark generated by the grinding wheel contact with the base of the dresser, which indicates the end of the contact with the diamond wheel. After the tests, was calculated the areas worn of each diamond in accordance with each image obtained through the aid of a graphics software. The data were then arranged in graphs.

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Pós-graduação em Agronomia - FEIS

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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In general, pattern recognition techniques require a high computational burden for learning the discriminating functions that are responsible to separate samples from distinct classes. As such, there are several studies that make effort to employ machine learning algorithms in the context of big data classification problems. The research on this area ranges from Graphics Processing Units-based implementations to mathematical optimizations, being the main drawback of the former approaches to be dependent on the graphic video card. Here, we propose an architecture-independent optimization approach for the optimum-path forest (OPF) classifier, that is designed using a theoretical formulation that relates the minimum spanning tree with the minimum spanning forest generated by the OPF over the training dataset. The experiments have shown that the approach proposed can be faster than the traditional one in five public datasets, being also as accurate as the original OPF. (C) 2014 Elsevier B. V. All rights reserved.