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Information fusion algorithms for data association and inference are applied to a representative intelligence gathering problem in which signals of intent are monitored by multiple imperfect sensors over a period of time. Two sets of algorithms are developed: a brute force set which makes best use of the data but is not efficient, and an approximate set which sacrifices some performance for efficiency...
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