Reducción De Dimensión Para El Reconocimiento Automático De Patrones Sobre Bioseñales
Abstract
Se presentan resultados para una metodología de reducción de dimensión, mediante la comparación entre técnicas de selección y extracción de características, que tiene como aporte fundamental la identificación de las condiciones de aplicación de cada una de las técnicas. Las pruebas experimentales se realizan sobre una base de datos de voz. Los resultados reflejan que la capacidad de reducción y clasificación de las técnicas de selección es usualmente superior a las de extracción, pero la naturaleza estadística de los datos tiene gran influencia sobre los métodos de reducción.Downloads
Downloads
-
Vistas(Views): 208
- PDF (Español (España)) Descargas(Downloads): 296
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Scientia et technica
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyrights
The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:
In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.
The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright. Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.