文献の詳細
| 言語 | 英語 |
|---|---|
| 著者 | Tsuyoshi Kato, Shinichiro Omachi, and Hirotomo Aso |
| 論文名 | Asymmetric Gaussian and Its Application to Pattern Recognition |
| 論文誌名 | Lecture Notes in Computer Science (Joint IAPR International Workshops SSPR 2002 and SPR 2002) |
| Vol. | 2396 |
| ページ | pp.405-413 |
| 年月 | 2002年8月 |
| 要約 | In this paper, we propose a new probability model, `asymmetric Gaussian(AG),' which can capture spatially asymmetric distributions. It is also extended to mixture of AGs. The values of its parameters can be determined by Expectation-Conditional Maximization algorithm. We apply the AGs to a pattern classification problem and show that the AGs outperform Gaussian models. |
@Article {Kato2002,
author = {Tsuyoshi Kato and Shinichiro Omachi and Hirotomo Aso},
title = {Asymmetric Gaussian and Its Application to Pattern Recognition},
journal = {Lecture Notes in Computer Science (Joint IAPR International Workshops SSPR 2002 and SPR 2002)},
year = {2002},
month = aug,
volume = {2396},
pages = {405--413}
}