Feature Type Spectrum Technique
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United States of America Patent
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app pub date -
Mar 23, 2017
filing date -
Oct 22, 2012
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
Sensors are used to generate sample set data representing objects in a sample set. A computer system analyzes the sample set data to determine the frequencies with which features in a feature set are observed in the objects in the sample set. An example of such output is a bar chart representing the frequency of observation of features in the feature set in a particular object. The feature output may be used to identify one or more obscure (i.e., low frequency) features in the particular object. Machine learning may be used to learn associations between sample set data and features in the feature set.
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