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Method and arrangement for pattern recognition on the basis of statistics

  • US 6,205,247 B1
  • Filed: 12/08/1998
  • Issued: 03/20/2001
  • Est. Priority Date: 06/08/1996
  • Status: Expired due to Fees
First Claim
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1. A method of pattern recognition on the basis of statistics, which, for an object to be recognized, estimates an association of each target class of a class set with a numerical value on the basis of a complete ensemble of two- or multi-class classifiers, the numerical value resulting from cascaded application of polynomial classifiers, comprising the steps of:

  • selecting the two- or multi-class classifiers whose estimates contribute the most, with high separation relevance, to minimizing a scalar measure calculated over an estimation-vector spectrum, from all two- or multi-class classifiers, over their estimation-vector spectrum on a learning sample in which all class patterns to be recognized are represented sufficiently;

    using the selected two- or multi-class classifiers to form estimate vectors over an expanded learning sample;

    using said estimate vectors to generate feature vectors that have been expanded through polynomial linking; and

    on the basis of said feature vectors, calculating an assessment classifier for estimating onto all target classes.

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