A surface representation approach for novelty detection

Yuhua Li

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Citations (Scopus)


    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.
    Original languageEnglish
    Title of host publicationUnknown Host Publication
    Number of pages5
    Publication statusPublished (in print/issue) - Jun 2008
    EventIEEE International Conference on Information and Automation - Zhangjiajie, China
    Duration: 1 Jun 2008 → …


    ConferenceIEEE International Conference on Information and Automation
    Period1/06/08 → …

    Bibliographical note

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