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17th International Conference on Pattern Recognition (ICPR'04) - Volume 4
A Novel Kernel Prototype-Based Learning Algorithm
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
A. K. Qinand, Nanyang Technological University, Singapore
P. N. Suganthan, Nanyang Technological University, Singapore
In this paper, we propose a novel kernel prototype-based learning algorithm, called Kernel Generalized Learning Vector Quantization (KGLVQ) algorithm, which can significantly improve the classification performance of the original Generalized Learning Vector Quantization algorithm in complex pattern classification tasks. In addition, the KGLVQ can also serve as a good general kernel learning framework for further investigation.
Citation:
A. K. Qinand, P. N. Suganthan, "A Novel Kernel Prototype-Based Learning Algorithm," icpr, vol. 4, pp.621-624, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 4, 2004
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