Robust modular artmap for multi-class shape recognition

Tan, Chue Poh, Loy, Chen Change, Lai, Weng Kin and Lim, Chee Peng 2008, Robust modular artmap for multi-class shape recognition, in IJCNN 2008 : Proceedings of the IEEE International Joint Conference on Neural Networks, IEEE, Piscataway, N. J., pp. 2405-2412.

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Title Robust modular artmap for multi-class shape recognition
Author(s) Tan, Chue Poh
Loy, Chen Change
Lai, Weng Kin
Lim, Chee Peng
Conference name IEEE International Joint Conference on Neural Networks (2008 : Hong Kong)
Conference location Hong Kong
Conference dates 1-8 Jun. 2008
Title of proceedings IJCNN 2008 : Proceedings of the IEEE International Joint Conference on Neural Networks
Editor(s) [Unknown]
Publication date 2008
Conference series IEEE International Joint Conference on Neural Networks
Start page 2405
End page 2412
Total pages 8
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) adaptive resonance theories
class imbalance problems
fuzzy ARTMAP
modular architectures
noisy environments
proposed architectures
shape recognitions
support vectors
Summary This paper presents a fuzzy ARTMAP (FAM) based modular architecture for multi-class pattern recognition known as modular adaptive resonance theory map (MARTMAP). The prediction of class membership is made collectively by combining outputs from multiple novelty detectors. Distance-based familiarity discrimination is introduced to improve the robustness of MARTMAP in the presence of noise. The effectiveness of the proposed architecture is analyzed and compared with ARTMAP-FD network, FAM network, and One-Against-One Support Vector Machine (OAO-SVM). Experimental results show that MARTMAP is able to retain effective familiarity discrimination in noisy environment, and yet less sensitive to class imbalance problem as compared to its counterparts.
ISBN 9781424418213
9781424418206
ISSN 1098-7576
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048731

Document type: Conference Paper
Collection: Institute for Frontier Materials
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