Support Measure Data Description for group anomaly detection

Abstract

We address the problem of learning a data description model from a dataset containing probability measures as observations. We estimate the data description model by optimizing volume-sets of probability measures where each volume-set is defined as a set of probability measures whose representative functions in a reproducing kernel Hilbert space (RKHS… (More)

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Citation Velocity: 7

Averaging 7 citations per year over the last 2 years.

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