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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ghorai, S. Hossian, S.J. Mukherjee, A. Dutta, P.K. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Civil Engineering, Indian institute of Technology, Kharagpur, W. B., India-721302 (Hossian, S.J.) || Department of Electrical Engineering, Indian institute of Technology, Kharagpur, W. B., India-721302 (Mukherjee, A.; Dutta, P.K.) || Department of ECE, MCKV Institute of Engineering, 243, G. T. Road (N), Liluah, Howrah, W. B., India-711204 (Ghorai, S.) |
| Abstract | In this work we have reformulated the twin support vector machine (TWSVM) classifier by considering unity norm of the normal vector of the hyperplanes as the constraints. TWSVM with unity norm hyperplanes removes the shortcomings of the classical TWSVM formulation. The resulting new formulation is a nonlinear programming problem which is solved by sequential quadratic optimization method. The performance of the modified classifier verified experimentally on synthetic as well as on benchmark data sets. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 240181 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424490721 |
| e-ISBN | 9781424490745 |
| DOI | 10.1109/INDCON.2010.5712721 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-17 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Training pattern classification Accuracy support vector machine Conferences kernel classifier Training data Euclidean distance proximal classifier Kernel Optimization |
| Content Type | Text |
| Resource Type | Article |
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