Implementation of a Fast Detector Using a Supervised Machine Learning And Gabor Wavelet Feature Descriptors.

Tusa Jumbo, Eduardo

dc.contributor.author	Tusa Jumbo, Eduardo
dc.date.accessioned	2016-07-29T14:30:05Z
dc.date.available	2016-07-29T14:30:05Z
dc.date.issued	2014
dc.identifier	Implementation of a Fast Detector Using a Supervised Machine Learning And Gabor Wavelet Feature Descriptors.	es_ES
dc.identifier.citation	Tusa Jumbo, E. (2014) Implementation of a Fast Detector Using a Supervised Machine Learning And Gabor Wavelet Feature Descriptors. Proceedings of the IEEE.	es_ES
dc.identifier.issn	14839479
dc.identifier.other	AC 014
dc.identifier.uri	http://repositorio.utmachala.edu.ec/handle/48000/6511
dc.description.abstract	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.	es_ES
dc.language.iso	eng	es_ES
dc.publisher	United States	es_ES
dc.rights	openAccess	es_ES
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/ec/	es_ES
dc.subject	PROCEEDINGS OF THE IEEE	es_ES
dc.subject	GABOR WAVELET	es_ES
dc.subject	PANEL DE SISTEMAS DE ENERGIA	es_ES
dc.subject	ENERGIA ELECTRICA	es_ES
dc.title	Implementation of a Fast Detector Using a Supervised Machine Learning And Gabor Wavelet Feature Descriptors.	es_ES
dc.type	article	es_ES