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A LRT Framework for Fast Spacial Anomaly Detection
Christopher M. Jermaine
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Oznake: computer science;data mining;anomaly detection
Given a spatial data set placed on an n x n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithms that, given any user-supplied arbitrary likelihood function, conduct a likelihood ratio hypothesis test (LRT) over each ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 1
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