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Authors: Rebecca Fay ; Friedhelm Schwenker and Günther Palm

Affiliation: University of Ulm, Germany

Keyword(s): Object recognition, hierarchical neural networks, incremental learning.

Related Ontology Subjects/Areas/Topics: Hybrid Learning Systems ; Image Processing ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Modeling, Simulation and Architectures ; Neural Networks Based Control Systems ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: Robots that perform non-trivial tasks in real-world environments are likely to encounter objects they have not seen before. Thus the ability to learn new objects is an essential skill for advanced mobile service robots. The model presented in this paper has the ability to learn new objects it is shown during run time. This improves the adaptability of the approach and thus enables the robot to adjust to new situations. The intention is to verify whether and how well hierarchical neural networks are suited for this purpose. The experiments conducted to answer this question showed that the proposed incremental learning approach is applicable for hierarchical neural networks and provides satisfactory classification results.

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Paper citation in several formats:
Fay, R.; Schwenker, F. and Palm, G. (2005). INCREMENTAL LEARNING IN HIERARCHICAL NEURAL NETWORKS FOR OBJECT RECOGNITION. In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO; ISBN 972-8865-30-9; ISSN 2184-2809, SciTePress, pages 298-303. DOI: 10.5220/0001182002980303

@conference{icinco05,
author={Rebecca Fay. and Friedhelm Schwenker. and Günther Palm.},
title={INCREMENTAL LEARNING IN HIERARCHICAL NEURAL NETWORKS FOR OBJECT RECOGNITION},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO},
year={2005},
pages={298-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001182002980303},
isbn={972-8865-30-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO
TI - INCREMENTAL LEARNING IN HIERARCHICAL NEURAL NETWORKS FOR OBJECT RECOGNITION
SN - 972-8865-30-9
IS - 2184-2809
AU - Fay, R.
AU - Schwenker, F.
AU - Palm, G.
PY - 2005
SP - 298
EP - 303
DO - 10.5220/0001182002980303
PB - SciTePress

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