High Performance Quadratic Classifier and the Application On PenDigits Recognition
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 th...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/91440 |
| _version_ | 1848765521301864448 |
|---|---|
| author | Zhao, Z.J. Sun, Jie Ge, S.S. |
| author_facet | Zhao, Z.J. Sun, Jie Ge, S.S. |
| author_sort | Zhao, Z.J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:36:34Z |
| format | Conference Paper |
| id | curtin-20.500.11937-91440 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:36:34Z |
| publishDate | 2007 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-914402023-04-18T07:13:15Z High Performance Quadratic Classifier and the Application On PenDigits Recognition Zhao, Z.J. Sun, Jie Ge, S.S. 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. 2007 Conference Paper http://hdl.handle.net/20.500.11937/91440 10.1109/CDC.2007.4434191 Institute of Electrical and Electronics Engineers restricted |
| spellingShingle | Zhao, Z.J. Sun, Jie Ge, S.S. High Performance Quadratic Classifier and the Application On PenDigits Recognition |
| title | High Performance Quadratic Classifier and the Application On PenDigits Recognition |
| title_full | High Performance Quadratic Classifier and the Application On PenDigits Recognition |
| title_fullStr | High Performance Quadratic Classifier and the Application On PenDigits Recognition |
| title_full_unstemmed | High Performance Quadratic Classifier and the Application On PenDigits Recognition |
| title_short | High Performance Quadratic Classifier and the Application On PenDigits Recognition |
| title_sort | high performance quadratic classifier and the application on pendigits recognition |
| url | http://hdl.handle.net/20.500.11937/91440 |