A surface representation approach for novelty detection

Li, Y

Abstract

There has been a pronounced increase in novelty detection research in recent years due to the driving force from applications such as monitoring of safety-critical systems and detection of novel objects in image sequences. This paper presents a novelty detection method from a new perspective by analysing the fundamental properties of novelty detectors. It constructs closed decision surface around the given data from known classes through the derivation of surface normal vectors and the identification of extreme patterns. A novel pattern is detected if it locates outside the region formed by the closed data surface. The experimental results demonstrate that the proposed method performs with high accuracies in detecting novel class as well as identifying known classes.

Citation

Li, Y. (2008, June). A surface representation approach for novelty detection. Presented at Institute of Electrical and Electronics Engineers (IEEE) International Conference on Information and Automation, Zhangjiajie, China

• Presentation Conference Type: Other
• Conference Name: Institute of Electrical and Electronics Engineers (IEEE) International Conference on Information and Automation
• Conference Location: Zhangjiajie, China
• Start Date: Jun 20, 2008
• End Date: Jun 23, 2008
• Publication Date: Jun 20, 2008
• Deposit Date: Jul 27, 2015
• Publisher: Institute of Electrical and Electronics Engineers
• Publisher URL: http://dx.doi.org/10.1109/ICINFA.2008.4608233
• Related Public URLs: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4599584
• Additional Information: Event Type : Conference