Image analysis – Pattern recognition – Classification
Reexamination Certificate
2005-09-15
2009-06-09
Mariam, Daniel G (Department: 2624)
Image analysis
Pattern recognition
Classification
Reexamination Certificate
active
07545986
ABSTRACT:
According to the invention, an apparatus for classifying and sorting input data in a data stream includes a processor having a classifier input control with a first input and second input, an adaptive classifier, a ground truth data input, a ground truth resampling buffer, a source data re-sampling buffer, and an output. The processor is configured for sampling the input data with the input control, comparing one or more classes of the sampled input data with preset data classifications for determining the degree of mis-classification of data patterns, determining a probability proportional to the degree of mis-classification as a criterion for entry into a resampling buffer, entering data patterns causing mis-classification in a resampling buffer with a probability value proportional to the degree of mis-classification, comparing the data patterns to a ground truth source and aligning the data patterns with their associated data pattern labels employing the same decision outcome based on a mis-classification probability as applied to the resampling buffer to form a set of training data, and updating the adaptive classifier to correlate with the training data. These steps are repeated until a sufficient degree of data classification optimization is realized, with the output being an optimized data stream.
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Karasek John J.
Legg L. George
Mariam Daniel G
The United States of America as represented by the Secretary of
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