Better Decision Boundary for Pattern Recognition with Supplementary Information
| Language | English |
|---|---|
| Type | Proceedings of Japanese Conferences |
| Authors | Masakazu IWAMURA, Yoshio FURUYA, Koichi KISE, Shinichiro OMACHI, Seiichi UCHIDA |
| Title | Better Decision Boundary for Pattern Recognition with Supplementary Information |
| Journal | IEICE Technical Report |
| Vol. | 106 |
| No. | PRMU-376 |
| Presentation number | PRMU2006-156 |
| Pages | pp.159-164 |
| Reviewed | Not reviewed |
| Date | November 2006 |
| Research fields | Pattern recognition |
| Key | Iwamura2006_IEICEPRMU_Better (id=961) |
Abstract
Pattern recognition with supplementary information which differs from the conventional pattern recognition has been proposed. This framework decreases misrecognition rates by using not only a pattern itself but also supplementary information that assists recognition. In the framework, a classifier suitable for the conventional pattern recognition has simply been used. Thus, there is room for improvement in the classifier. In this research, in order to improve the recognition performance with supplementary information, we attempt to change the recognition results of the classifier by the shift of decision boundary from the Bayesian one. Though this reduces recognition rates in the conventional pattern recognition, this increases those in the pattern recognition with supplementary information. We have confirmed this by recognition experiments.
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