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Synthesis of Representative Graphical Symbols by Computing Generalized Median Graph

  • Xiaoyi Jiang
  • Andreas Münger
  • Horst Bunke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1941)

Abstract

Median is a general concept of capturing the essential information of a given set of objects. In this work we adopt this concept to the problem of learning, or synthesis, of representative graphical symbols from given examples. Graphical symbols are represented by graphs. This way the learning task is transformed into that of computing the generalized median of a given set of graphs, which is a novel graph matching problem and solved by a genetic algorithm.

Keywords

Genetic Algorithm Edit Distance Input Graph Graph Match Label Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Xiaoyi Jiang
    • 1
  • Andreas Münger
    • 1
  • Horst Bunke
    • 1
  1. 1.Department of Computer ScienceUniversity of BernSwitzerland

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