System or method for selecting classifier attribute types
First Claim
1. A method for configuring a filter for use with a classifier, comprising:
- selectively identifying a subset of attribute types from a plurality of attribute types with a distribution statistic; and
modifying the filter so that only the subset of attribute types are accessible by the classifier.
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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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Citations
30 Claims
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1. A method for configuring a filter for use with a classifier, comprising:
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selectively identifying a subset of attribute types from a plurality of attribute types with a distribution statistic; and
modifying the filter so that only the subset of attribute types are accessible by the classifier. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A system for selecting attribute types for inclusion in a classifier, comprising:
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a test data subsystem, including a data sample comprising a plurality of attribute types;
a distribution analysis subsystem, including a plurality of distribution statistics, wherein said distribution analysis subsystem generates said plurality of distribution statistics from said plurality of attribute types; and
an attribute selection subsystem, wherein said attribute selection subsystem selectively identifies a subset of attribute types from said subset of attribute types. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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26. An airbag sensor system for tracking an occupant, comprising:
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an occupant image, including a plurality of attribute types and plurality of attribute values associated with said plurality of attribute types, wherein only a subset of said attribute types are ultimately identified as statistically robust attributes types;
a sensor for capturing said occupant image from the occupant;
a classifier, including a classification, wherein said classifier generates said classification from said statistically robust attributes; and
a filter, including a predefined list of statistically robust attribute types, wherein said filter permits only said statistically robust attribute types to be passed to said classifier. - View Dependent Claims (27, 28, 29, 30)
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Specification