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This paper presents a framework for characterizing errors associated with different categories of human observation combined with a method for integrating these into a hard+soft data fusion system. Error characteristics of human observers (often referred to as soft data sensors) have typically been artificially generated and lack contextual considerations that in a real-world application can drastically...
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