A General Assignment of Supplementary Information
| Language | Japanese |
|---|---|
| Type | Journal Articles |
| Authors | Masakazu Iwamura, Yoshio Furuya, Koichi Kise, Shinichiro Omachi, Seiichi Uchida |
| Title | A General Assignment of Supplementary Information |
| Journal | Trans. IEICE |
| Vol. | J93-D |
| No. | 5 |
| Pages | pp.579-587 |
| Reviewed | Reviewed |
| Date | May 2010 |
| Research fields | Pattern recognition |
| URL | http://search.ieice.org/bin/summary.php?id=j93-d_5_579 |
| Key | Iwamura2010_IEICE_General (id=1132) |
Abstract
{\it Pattern recognition with supplementary information} is a new pattern recognition framework to avoid unavoidable errors. It determines an output class by combining a feature vector extracted from the pattern and a small {\it hint} on the true class. The hint called {\it supplementary information} is freely designed so as to minimize the error rate. Under the assumption that supplementary information is infallible, an approximately best assignment of the information is derived. In this paper, we derive a general assignments methodology of both fallible and infallible supplementary information.
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