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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tax, D.M.J. Duin, R.P.W. |
| Copyright Year | 2002 |
| Description | Author affiliation: Pattern Recognition Group, Delft Univ. of Technol., Netherlands (Tax, D.M.J.; Duin, R.P.W.) |
| Abstract | The generalization from two-class classification to multiclass classification is not straightforward for discriminants which are not based on density estimation. Simple combining methods use voting, but this has the drawback of inconsequent labelings and ties. More advanced methods map the discriminant outputs to approximate posterior probability estimates and combine these, while other methods use error-correcting output codes. In this paper we want to show the possibilities of simple generalizations of the two-class classification, using voting and combinations of approximate posterior probabilities. |
| Starting Page | 124 |
| Ending Page | 127 |
| File Size | 244054 |
| Page Count | 4 |
| File Format | |
| ISBN | 076951695X |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2002.1048253 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-08-11 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Voting Labeling Pattern recognition Electronic mail Birth disorders Probability density function Vectors Testing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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