| 講演抄録／キーワード |
| 講演名 |
2005-05-25 11:40
Sensor Network Localization Using Pattern Recognition and Least Squares Kernel Methods
○Chaopin Zhu・Anthony Kuh（Univ. of Hawaii） |
| 抄録 |
（和） |
(まだ登録されていません) |
| （英） |
This paper applies kernel least squares subspace methods to solve
the sensor network localization problem. Simulation shows good
performance comparable to other studies using kernel methods. The
kernel least squares subspace algorithms have low to moderate
computational complexity and are very suitable for large dense
sensor networks since the scalability of sensor networks is highly
desired. Recursive on-line implementation of the kernel
algorithms make these algorithms suitable to track locations of
mobile sensors. |
| キーワード |
（和） |
/ / / / / / / |
| （英） |
Sensor networks / localization / least squares kernel methods / / / / / |
| 文献情報 |
信学技報, vol. 105, no. 83, IT2005-3, pp. 13-17, 2005年5月. |
| 資料番号 |
IT2005-3 |
| 発行日 |
2005-05-18 (IT) |
| ISSN |
Print edition: ISSN 0913-5685 |
| PDFダウンロード |
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