Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Masakazu Iwamura, Shinichiro Omachi,and Hirotomo Aso |
| Title | Estimation of True Mahalanobis Distance from Eigenvectors of Sample Covariance Matrix |
| Journal | Trans. IEICE |
| Vol. | J86-D-II |
| No. | 1 |
| Pages | pp.22-31 |
| Reviewed or not | Reviewed |
| Month & Year | January 2003 |
| Abstract | In statistical pattern recognition, parameters of distributions are usually estimated from training sample vectors. However, estimated parameters contain estimation errors and the errors cause bad influence on recognition performance when the sample size is not sufficient. In this paper, we present a method to estimate the true Mahalanobis distance from sample eigenvectors (eigenvectors of sample covariance matrix) by considering the errors of eigenvectors. Recognition experiments show that by applying the proposed method, the true Mahalanobis distance can be estimated even if the sample size is small, and better recognition accuracy is achieved. |
| URL | https://search.ieice.org/bin/summary.php?id=j86-d2_1_22 |
- Note
PDF file is available at <a href="http://www.ieice.org/jpn/trans_online/">IEICE Transactions online (in Japanese)</a>. <br> <a href="http://www.m.cs.osakafu-u.ac.jp/cgi-bin/publication_public.cgi?func=show_detail&id=303&prev_func=article_list&lang=en">The paper is translated into English</a>. - Following files are available.
- Entry for BibTeX
@Article{Iwamura2003, author = {Masakazu Iwamura and Shinichiro Omachi and Hirotomo Aso}, title = {Estimation of True Mahalanobis Distance from Eigenvectors of Sample Covariance Matrix}, journal = {Trans. IEICE}, year = 2003, month = jan, volume = {J86-D-II}, number = {1}, pages = {22--31}, URL = {https://search.ieice.org/bin/summary.php?id=j86-d2_1_22} }