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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||