Method and computer program product for identifying and correcting systematic noise in a pattern recognition system
First Claim
1. A method for identifying and correcting systematic noise in a pattern recognition classifier, comprising:
- rejecting a plurality of input patterns determined not to be associated with any of a set of at least one represented output class by the pattern recognition classifier;
selecting a subset of pattern samples from the rejected input patterns based upon the similarity of each pattern to one of the represented output classes;
subjecting the selected pattern samples to an independent review to determine if they were correctly rejected; and
retraining the classifier based upon the independent review of the selected pattern samples.
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Abstract
The present invention recites a method and computer program product for identifying and correcting systematic noise in a pattern recognition classifier. A plurality of input patterns that have been determined not to be associated with any of a set of at least one represented output class are rejected by the pattern recognition classifier. A subset of pattern samples is selected from the rejected input patterns based upon the similarity of each pattern to one of the represented output classes. The selected pattern samples are subjected to an independent review to determine if they were correctly rejected. The classifier is retrained based upon this independent review of the selected pattern samples.
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Citations
12 Claims
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1. A method for identifying and correcting systematic noise in a pattern recognition classifier, comprising:
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rejecting a plurality of input patterns determined not to be associated with any of a set of at least one represented output class by the pattern recognition classifier;
selecting a subset of pattern samples from the rejected input patterns based upon the similarity of each pattern to one of the represented output classes;
subjecting the selected pattern samples to an independent review to determine if they were correctly rejected; and
retraining the classifier based upon the independent review of the selected pattern samples. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A computer program product, operative in a data processing system, for identifying and correcting systematic noise in a pattern recognition classifier, comprising:
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a classification portion that rejects a plurality of input patterns determined not to be associated with any of a set of at least one represented output class;
a selection portion that selects a subset of pattern samples from the rejected input patterns based upon the similarity of each pattern to one of the represented output classes;
a review portion that subjects the selected pattern samples to an independent review to determine if they were correctly rejected; and
a training portion that retrains the classifier based upon the independent review of the selected pattern samples. - View Dependent Claims (8, 9, 10, 11, 12)
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Specification