Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2011-01-18
2011-01-18
Mariam, Daniel G (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S181000, C704S231000
Reexamination Certificate
active
07873209
ABSTRACT:
Pattern model parameters are updated using update equations based on competing patterns that are identical to a reference pattern except for one segment at a time that is replaced with a competing segment. This allows pattern recognition parameters to be tuned one segment at a time, rather than have to try to model distinguishing features of the correct pattern model as a whole, according to an illustrative embodiment. A reference pattern and competing patterns are divided into pattern segments. A set of training patterns are generated by replacing one of the pattern segments in the reference pattern with a corresponding competing pattern segment. For each of the training patterns, a pattern recognition model is applied to evaluate a relative degree of correspondence of the reference pattern with the pattern signal compared to a degree of correspondence of the training patterns with the pattern signal.
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Deng Li
Fu Qiang
He Xiaodong
Kelly Joseph R.
Mariam Daniel G
Microsoft Corporation
Westman Champlin & Kelly P.A.
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