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Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images
Cita
Maravall Gomez-Allende, Darío 
ORCID: https://orcid.org/0000-0002-3649-9689, Lope Asiaín, Javier de ORCID: https://orcid.org/0000-0001-9779-6057 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.
ORCID: https://orcid.org/0000-0002-3649-9689, Lope Asiaín, Javier de ORCID: https://orcid.org/0000-0001-9779-6057 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.
Descripción
| Título: | Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Pattern Recognition Letters |
| Fecha: | Octubre 2013 |
| ISSN: | 0167-8655 |
| Volumen: | 34 |
| Número: | 14 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Learning automata theory; Supervised classification; Unmanned aerial vehicles; Visual-based navigation; Landmarks recognition |
| Escuela: | Centro de Automática y Robótica (CAR) UPM-CSIC |
| Departamento: | Otro |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 21561 |
|---|---|
| Identificador DC: | https://oa.upm.es/21561/ |
| Identificador OAI: | oai:oa.upm.es:21561 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/5489039 |
| Identificador DOI: | 10.1016/j.patrec.2013.03.019 |
| URL Oficial: | http://www.sciencedirect.com/science/article/pii/S... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 11 Nov 2013 17:28 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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