Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2006-09-26
2006-09-26
Mancuso, Joseph (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S225000
Reexamination Certificate
active
07113636
ABSTRACT:
A method and computer program product are disclosed for generating training data over a plurality of feature variables for a new output class in a pattern recognition classifier representing a plurality of existing classes with previously calculated statistical parameters. Deviation measures are generated for each feature variable for each of the plurality of existing classes from the calculated statistical parameters. The deviation measures for each feature variable are averaged across the plurality of existing classes. Feature data is extracted from an ideal pattern, representing the new class, for each of the feature variables. Statistical parameters are approximated for each feature variable for the new class from the extracted feature data and the averaged deviation measures.
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Ii David L.
Reitz, II Elliott D.
Tillotson Dennis A.
Conover Damon M
Lockheed Martin Corporation
Mancuso Joseph
Tarolli, Sundheim Covell & Tummino LLP
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