Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Masakazu Iwamura, Yoshio Furuya, Koichi Kise, Shinichiro Omachi, and Seiichi Uchida |
| Title | A General Assignment of Supplementary Information |
| Journal | Trans. IEICE |
| Vol. | J93-D |
| No. | 5 |
| Pages | pp.579-587 |
| Reviewed or not | Reviewed |
| Month & Year | May 2010 |
| 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. |
| URL | http://search.ieice.org/bin/summary.php?id=j93-d_5_579 |
- Note
PDF file is available at <a href="http://www.ieice.org/jpn/trans_online/">IEICE Transactions online (in Japanese)</a>. - Following files are available.
- Entry for BibTeX
@Article{Iwamura2010, author = {Masakazu Iwamura and Yoshio Furuya and Koichi Kise and Shinichiro Omachi and Seiichi Uchida}, title = {A General Assignment of Supplementary Information}, journal = {Trans. IEICE}, year = 2010, month = may, volume = {J93-D}, number = {5}, pages = {579--587}, URL = {http://search.ieice.org/bin/summary.php?id=j93-d_5_579} }