Abrupt change detection with One-Class Time-Adaptive Support Vector Machines

作者：

Highlights：

• We introduce and analyze a non-stationary extension of the One-Class SVM method.

• We use this new extension as an improved abrupt change detection method.

• We compare our procedure with previous methods, on artificial and real world data.

摘要

•We introduce and analyze a non-stationary extension of the One-Class SVM method.•We use this new extension as an improved abrupt change detection method.•We compare our procedure with previous methods, on artificial and real world data.

论文关键词：Abrupt change detection,One class classification,Support vector machine

论文评审过程：Available online 11 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.074