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Beyond linguistic binarism; proposal for the decolonization of languageMás allá del binarismo lingüístico: propuesta para la descolonización del lenguaje
(Universidad Catolica Silva Henriquez, 2024)
Distinctive features, binarism and definition of phonemes: on Jakobson’s influence on Emilio Alarcos LlorachRasgos distintivos, binarismo y definición de fonemas: sobre la influencia de Jakobson en Emilio Alarcos Llorach
(Instituto de Lingüística y Literatura. Facultad de Filosofía y Humanidades. Universidad Austral de Chile, 2017)
Substellar binarity among nearby white dwarfs
(Abad, C.Bongiovanni, A., 2006)
Usando una muestra de estrellas enanas blancas (WDs) de la vecindad solar, compiladas por Holberg et al. (2002), proponemos un estudio de posibles objetos sub-estelares asociados a ellas como binarias. Pequenos ˜ contrastes ...
Substellar binarity among nearby white dwarfs
(2006)
Usando una muestra de estrellas enanas blancas (WDs) de la vecindad solar, compiladas por Holberg et al. (2002), proponemos un estudio de posibles objetos sub-estelares asociados a ellas como binarias. Pequenos ˜ contrastes ...
A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
(Institute Of Electrical And Electronics Engineers, 2013-02)
This paper discusses the implementation of the digital image processing techniques as a method for estimating the contents of twigs in samples of yerba mate. The hardware used in this paper, to obtain the analyzed images, ...
Unsupervised measures for parameter selection of binarization algorithms
(2011)
In this paper, we propose a mechanism for systematic comparison of the efficacy of unsupervised evaluation methods for parameter selection of binarization algorithms in optical character recognition (OCR). We also analyze ...
Solving combinatorial problems with continuous swarm intelligence algorithms using machine learning techniques to select binarization schemes
(2021)
Today, combinatorial problems in binary domains are more frequently encountered in industry, so solving them efficiently is a priority in both academic and industrial areas. To solve the biggest problems the Metaheuristics ...
Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem
(Springer, 2020)
Solving combinatorial optimization problems is of great interest in the areas of computer science and operations research. Optimization algorithms and particularly metaheuristics are constantly improved in order to reduce ...