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A Syntactic Pattern Recognition System with Learning Capability

  • H. C. Lee
  • K. S. Fu

Abstract

Stochastic syntax analysis of pictorial patterns is investigated in this study. Pictorial image identification is performed through syntax analysis and the maximum likelihood decision rule. A learning algorithm is developed through the joint application of two inference procedures. The first procedure, which relies on a man-machine interactive technique, is used to infer the generative grammar. Next, the statistical information of the images is utilized to infer the production probabilities of the grammar. Chromosome aberrations induced by radiation exposure are identified through the use of the learning algorithm and stochastic syntax analysis.

Keywords

Inference Algorithm Normal Chromosome Inference Procedure Learn Capability Production Probability 
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

© Plenum Press, New York 1974

Authors and Affiliations

  • H. C. Lee
    • 1
  • K. S. Fu
    • 1
  1. 1.School of Electrical EngineeringPurdue UniversityWest LafayetteUSA

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