Hierarchical pattern classifier reduces number of comparisons between input and memory vectors without reducing detail of final classification by dividing classification process into coarse-to-fine hierarchy that comprises first "grouping" step and second classification step. Three-layer neural network reduces computation further by reducing number of vector dimensions in processing. Concept applicable to pattern-classification problems with need to reduce amount of computation necessary to classify, identify, or match patterns to desired degree of resolution.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Hierarchical Pattern Classifier


    Contributors:

    Published in:

    Publication date :

    1992-06-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




    HiClass4MD: a Hierarchical Classifier for Transportation Mode Detection

    Muhammad, Akilu Rilwan / Aguiar, Ana / Mendes-Moreira, Joao | IEEE | 2024


    Hierarchical classifier design for airborne SAR images of ships

    Gagnon, Langis / Klepko, Robert | SPIE | 1998


    Road intersection detection and classification using hierarchical SVM classifier

    Rebai, Karima / Achour, Nouara / Azouaoui, Ouahiba | Tema Archive | 2014


    A Computational Model of a Gazing Point Controlling Process in a Hierarchical Classifier System

    Yoshimi, T. / Taura, T. | British Library Online Contents | 2000


    A Trainable N-tuple Pattern classifier and its Application for Monitoring Fish Underwater

    Chan, D. / Tillett, R. D. / Hockaday, S. et al. | British Library Conference Proceedings | 1999