Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches have been proposed to render this strategy more amenable to practice, but they still show a number of important shortcomings from a pragmatic point of view. This paper introduces a novel such approach, which combines the normal directions idea with support vector machine classifiers. The two make a natural and powerful match, as SVs are located nearby, and fully describe the decision surfaces. The approach can be included elegantly into the training of performant classifiers from extensive datasets. The potential is corroborated by experiments, both on synthetic and real data, the latter on a face detection experiment. In this experiment we demonstrate how our approach can lead to a significant reduction of CPU-time, with neglectable loss of classification performance.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    SVM-based nonparametric discriminant analysis, an application to face detection


    Beteiligte:
    Fransens, (Autor:in) / De Prins, (Autor:in) / Van Gool, (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    504072 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    SVM-Based Nonparametric Discriminant Analysis, An Application to Face Detection

    Fransens, R. / De Prins, J. / Van Gool, L. et al. | British Library Conference Proceedings | 2003


    An Adaptive Nonparametric Discriminant Analysis Method and Its Application to Face Recognition

    Huang, Liang / Ma, Yong / Ijiri, Yoshihisa et al. | Springer Verlag | 2007



    A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition

    Beveridge, J. R. / She, K. / Draper, B. A. et al. | British Library Conference Proceedings | 2001


    LBP Discriminant Analysis for Face Verification

    Jiali Zhao, / Haitao Wang, / Haibing Ren, et al. | IEEE | 2005