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Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.utmachala.edu.ec/handle/48000/6511
Título : Implementation of a Fast Detector Using a Supervised Machine Learning And Gabor Wavelet Feature Descriptors.
Autor : Tusa Jumbo, Eduardo
Palabras clave : PROCEEDINGS OF THE IEEE
GABOR WAVELET
PANEL DE SISTEMAS DE ENERGIA
ENERGIA ELECTRICA
Fecha de publicación : 2014
Editorial : United States
Citación : Tusa Jumbo, E. (2014) Implementation of a Fast Detector Using a Supervised Machine Learning And Gabor Wavelet Feature Descriptors. Proceedings of the IEEE.
Resumen : The basic purpose of IEEE 127 is to serve as a guide to show preferred (steady-state) frequency and voltage ratings for primary power systems. A careful study, was accomplished by the Flight Vehicle Systems Integration Subcommittee. The attached tabulation gives recommended standard frequencies and voltages for all types of aerospace electric apparatus for which standards appear practical.
URI : http://repositorio.utmachala.edu.ec/handle/48000/6511
ISSN : 14839479
Otros identificadores : Implementation of a Fast Detector Using a Supervised Machine Learning And Gabor Wavelet Feature Descriptors.
Aparece en las colecciones: Artículos Científicos Scopus



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