The nearest neighbor (NN) approach is a powerful nonparametric technique for pattern classification tasks. In this paper, algorithms for prototype reduction, hierarchical prototype organization and fast NN search are described. To remove redundant category prototypes and to avoid redundant comparisons, the algorithms explain geometrical information of a given prototype set which is represented approximately by computing k-nearest/farthest neighbors of each prototype. The performance of a NN classifier using those algorithms for Japanese character recognition is reported.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The design of a nearest-neighbor classifier and its use for Japanese character recognition


    Beteiligte:
    Tao Hong (Autor:in) / Lam, S.W. (Autor:in) / Hull, J.J. (Autor:in) / Srihari, S.N. (Autor:in)


    Erscheinungsdatum :

    01.01.1995


    Format / Umfang :

    405021 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    The Design of a Nearest-Neighbor Classifier and Its Use for Japanese Character Recognition

    Hong, T. / Lam, S. W. / Hull, J. J. et al. | British Library Conference Proceedings | 1995


    Genetic based nearest neighbor classifier and its application

    Chen, Z.-y. / He, Y.-y. / Chu, F.-l. et al. | British Library Online Contents | 2002



    Sea–Land Segmentation in Maritime Surveillance Radars via K-Nearest Neighbor Classifier

    Shui, Peng-Lang / Xia, Xiao-Yun / Zhang, Yu-Shi | IEEE | 2020


    3DNN: 3D Nearest Neighbor

    Satkin, S. / Rashid, M. / Lin, J. et al. | British Library Online Contents | 2015