Classification in likelihood spaces

Image analysis – Pattern recognition – Classification

Reexamination Certificate

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C382S228000

Reexamination Certificate

active

10717361

ABSTRACT:
A method classifies data into multiple classes so that the data in each class have a class-conditional probability distribution. The class-conditional probability distributions of measured data are projected into a likelihood space. The projected class-conditional probability distributions in the likelihood space are then classified according to a discriminant classifier in likelihood space.

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