Artificial bee colony optimization for feature selection of traffic sign recognition

This paper proposes the application of a swarm intelligence algorithm called Artificial Bee Colony (ABC) for the feature selection to feed a Random Forest (RF) classifier aiming to recognise Traffic Signs. In this paper, the authors define and assess several fitness functions for the feature selecti...

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Detalles Bibliográficos
Publicado: 2017
Materias:
Artificial bee colony
Classification
Feature selection
Random forest
Swarm intelligence
Traffic sign recognition
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_19479263_v8_n2_p50_DaSilva
http://hdl.handle.net/20.500.12110/paper_19479263_v8_n2_p50_DaSilva
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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