Self-Organization of Shape Space by the Higher-Rank SOM-Topology-Free Shape Space Method

DOI 26 References

Bibliographic Information

Other Title
  • 高階SOM による形状表現マップの自己組織化－トポロジー拘束のない形状空間法－

Abstract

The aims of this paper are to establish the shape space theory which deals with a set of shapes, and to develop a shape space estimation method which does not require the prior knowledge about the topology of shapes. To achieve these aims, first we developed a Self-Organizing Map( SOM) that is free from topological restriction, namely, Topology-Free SOM( TFSOM). Then we built TFSOM into the higher-rank SOM, which is called TFSOM×SOM in this paper. TFSOM×SOM was applied to handwritten digit recognition task, and it showed about 95% accuracy in recognizing digits written by 1000 people, after the TFSOM×SOM was trained by the digits of only 10 people. Since the proposal method is not specialized to line-drawing, it can be applied to wider tasks relevant to shapes.

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Details

  • CRID
    1390001205185123968
  • NII Article ID
    130003368220
  • DOI
    10.3156/jsoft.25.701
  • ISSN
    18817203
    13477986
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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