Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images

Maravall Gomez-Allende, Darío and Lope Asiaín, Javier de and Fuentes Brea, Juan Pablo (2013). Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images. "Pattern Recognition Letters", v. 34 (n. 14); pp. 1719-1724. ISSN 0167-8655. https://doi.org/10.1016/j.patrec.2013.03.019.

Description

Title: Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images
Author/s:
  • Maravall Gomez-Allende, Darío
  • Lope Asiaín, Javier de
  • Fuentes Brea, Juan Pablo
Item Type: Article
Título de Revista/Publicación: Pattern Recognition Letters
Date: October 2013
ISSN: 0167-8655
Volume: 34
Subjects:
Freetext Keywords: Learning automata theory; Supervised classification; Unmanned aerial vehicles; Visual-based navigation; Landmarks recognition
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, the fusion of probabilistic knowledge-based classification rules and learning automata theory is proposed and as a result we present a set of probabilistic classification rules with self-learning capability. The probabilities of the classification rules change dynamically guided by a supervised reinforcement process aimed at obtaining an optimum classification accuracy. This novel classifier is applied to the automatic recognition of digital images corresponding to visual landmarks for the autonomous navigation of an unmanned aerial vehicle (UAV) developed by the authors. The classification accuracy of the proposed classifier and its comparison with well-established pattern recognition methods is finally reported.

More information

Item ID: 21561
DC Identifier: http://oa.upm.es/21561/
OAI Identifier: oai:oa.upm.es:21561
DOI: 10.1016/j.patrec.2013.03.019
Official URL: http://www.sciencedirect.com/science/article/pii/S0167865513001232
Deposited by: Memoria Investigacion
Deposited on: 11 Nov 2013 17:28
Last Modified: 01 Nov 2014 23:56
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