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Method and computer program product for identifying output classes with multi-modal dispersion in feature space and incorporating multi-modal structure into a pattern recognition system

  • US 20040096100A1
  • Filed: 11/14/2002
  • Published: 05/20/2004
  • Est. Priority Date: 11/14/2002
  • Status: Active Grant
First Claim
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1. A method, operative within a pattern recognition system with a plurality of represented output classes, for identifying output classes with multi-modal dispersion in feature space and incorporating multi-modal structure into a system architecture, said method comprising:

  • rejecting a plurality of input pattern samples determined not to be associated with any of a plurality of represented output classes by a pattern recognition classifier;

    grouping the rejected pattern samples into clusters according to the similarities between the pattern samples;

    identifying clusters that contain pattern samples associated with a represented output class via independent review;

    retraining the classifier to recognize the identified clusters as output pseudoclasses separate from the represented output class with which they are associated;

    reorganizing the system architecture to incorporate the output pseudoclasses; and

    rejoining the output pseudoclasses to their associated classes after classification.

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