Pattern Recognition by Invariant Reference Points

  • Krystian Ignasiak
  • Władysław Skarbek
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1424)


New methodology for pattern recognition is presented which is based on design of invariant reference points. It is shown that the k-NN distance classifier is a special case of this methodology. New classifiers within this framework are also described.


Reference Point Feature Vector Selection Technique Measurement Vector Target Domain 
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 1998

Authors and Affiliations

  • Krystian Ignasiak
    • 1
  • Władysław Skarbek
    • 1
  1. 1.Department of Electronics and Information TechnologyWarsaw University of TechnologyWarsaw

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