Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9653399 | Neurocomputing | 2005 | 12 Pages |
Abstract
In this article, it will be shown that a nonparametric and data-adaptive approach to the variance change point (VCP) detection problem is possible by formulating it as a pattern classification problem. Technical aspects of the VCP detector are discussed, which include its training strategy and selection of proper classification tool.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Kyong Joo Oh, Myung Sang Moon, Tae Yoon Kim,