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[Author] Atsuhiro NADA(1hit)

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  • Extraction of Feature Attentive Regions in a Learnt Neural Network

    Hideki SANO  Atsuhiro NADA  Yuji IWAHORI  Naohiro ISHII  

     
    PAPER-Image Processing

      Vol:
    E77-D No:4
      Page(s):
    482-489

    This paper proposes a new method of extracting feature attentive regions in a learnt multi-layer neural network. We difine a function which calculates the degree of dependence of an output unit on an inpur unit. The value of this function can be used to investigate whether a learnt network detects the feature regions in the training patterns. Three computer simulations are presented: (1) investigation of the basic characteristic of this function; (2) application of our method to a simpie pattern classification task; (3) application of our method to a large scale pattern classfication task.