loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Klaus Häming and Gabriele Peters

Affiliation: FernUniversität in Hagen, Germany

ISBN: 978-989-8425-75-1

Keyword(s): Machine learning, Reinforcement learning, Belief revision, Object recognition.

Related Ontology Subjects/Areas/Topics: Autonomous Agents ; Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: We propose a hybrid learning system which combines two different theories of learning, namely implicit and explicit learning. They are realized by the machine learning methods of reinforcement learning and belief revision, respectively. The resulting system can be regarded as an autonomous agent which is able to learn from past experiences as well as to acquire new knowledge from its environment. We apply this agent in an object recognition task, where it learns how to recognize a 3D object despite the fact that a very similar, alternative object exists. The agent scans the viewing sphere of an object and learns how to access such a view that allows for the discrimination. We present first experiments which indicate the general applicability of the proposed hybrid learning scheme to this object recognition tasks.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.227.2.109

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Häming, K. and Peters, G. (2011). A HYBRID LEARNING SYSTEM FOR OBJECT RECOGNITION.In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8425-75-1, pages 329-332. DOI: 10.5220/0003572103290332

@conference{icinco11,
author={Klaus Häming. and Gabriele Peters.},
title={A HYBRID LEARNING SYSTEM FOR OBJECT RECOGNITION},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2011},
pages={329-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003572103290332},
isbn={978-989-8425-75-1},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - A HYBRID LEARNING SYSTEM FOR OBJECT RECOGNITION
SN - 978-989-8425-75-1
AU - Häming, K.
AU - Peters, G.
PY - 2011
SP - 329
EP - 332
DO - 10.5220/0003572103290332

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.