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 |