Please use this identifier to cite or link to this item: https://doi.org/10.1109/CDC.2007.4434191
Title: High performance quadratic classifier and the application on PenDigits recognition
Authors: Zhao, Z.J.
Sun, J. 
Ge, S.S. 
Keywords: Pattern recognition
Pen-digit recognition
Quadratic programming
Second-order cone optimization
Issue Date: 2007
Source: Zhao, Z.J.,Sun, J.,Ge, S.S. (2007). High performance quadratic classifier and the application on PenDigits recognition. Proceedings of the IEEE Conference on Decision and Control : 3072-3077. ScholarBank@NUS Repository. https://doi.org/10.1109/CDC.2007.4434191
Abstract: A nonconvex quadratic classifier is proposed for pattern recognition. The classifier is obtained by solving a second-order cone optimization problem on the training data set. Numerical results are presented to compare this classifier with the Gaussian classifier and k-NN classifiers. Regarding to the application of hand written digits recognition, the computational result shows that the proposed quadratic classifier always achieves highest correctness in the testing stage although it takes the longest computational time in the training stage. © 2007 IEEE.
Source Title: Proceedings of the IEEE Conference on Decision and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/44241
ISBN: 1424414989
ISSN: 01912216
DOI: 10.1109/CDC.2007.4434191
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