A Surface Representation Approach for Novelty Detection

摘要：

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.

关键词： Novelty detection pattern selection k nearest neighbours surface normal.

作者: Yuhua Li

作者单位: School of Computing and Intelligent Systems University of Ulster Londonderry BT48 7JL,UK

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1464-1468

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）