Image analysis – Pattern recognition – Classification
Reexamination Certificate
2011-07-19
2011-07-19
Perungavoor, Sath V (Department: 2624)
Image analysis
Pattern recognition
Classification
C706S012000, C382S159000
Reexamination Certificate
active
07983490
ABSTRACT:
A system and method for classifying input patterns into two classes, a class-of-interest and a class-other, utilizing a method for estimating an optimal Bayes decision boundary for discriminating between the class-of-interest and class-other, when training samples or otherwise, are provided a priori only for the class-of-interest thus eliminates the requirement for any a priori knowledge of the other classes in the data set to be classified, while exploiting the robust and powerful discriminating capability provided by fully supervised Bayes classification approaches. The system and method may be used in applications where class definitions, through training samples or otherwise, are provided a priori only for the classes-of-interest. The distribution of the other-class may be unknown or may have changed. Often one is only interested in one class or a small number of classes.
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