Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2007-03-27
2007-03-27
Johns, Andrew W. (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S228000
Reexamination Certificate
active
10375946
ABSTRACT:
A system or method (collectively “selection system”) is disclosed for selecting attributes for a classifier in a sensor system. The selection system selects attribute types using statistical distributions of the attribute values associated with those attribute types. Attribute types not within the selectively identified subset of attribute types can be filtered out before such data is sent to a classifier. The system can use a test data subsystem for storing and accessing actual sensor data. A distribution analysis subsystem can perform statistical analyses on the test data to identify underlying distributions, and to compare individual attribute types to such distributions. An attribute selection subsystem, wherein said attribute selection subsystem selectively identifies a subset of attribute types from said subset of attribute types.
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Eaton Corporation
Johns Andrew W.
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