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半监督检测新奇自适应Eigenbasis，以及无线电瞬变应用Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients |
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| 课程网址: | http://videolectures.net/cidu2011_wagstaff_eigenbases/ |
| 主讲教师: | Kiri L. Wagstaff |
| 开课单位: | 加州理工学院 |
| 开课时间: | 2012-06-27 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a semi-supervised online method for novelty detection and evaluate its performance for radio astronomy time series data. Our approach uses adaptive eigenbases to combine 1) prior knowledge about uninteresting signals with 2) online estimation of the current data properties to enable highly sensitive and precise detection of novel signals. We apply the method to the problem of detecting fast transient radio anomalies and compare it to current alternative algorithms. Tests based on observations from the Parkes Multibeam Survey show both e ective detection of interesting rare events and robustness to known false alarm anomalies. |
| 关 键 词: | 计算机科学; 机器学习; 半监督学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-13：zyk |
| 阅读次数: | 78 |