Learning Decision Boundaries for Multidimensional Anomaly Detection
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In this article, we attempt to study a problem of identifying outliers from multiple dimensions, terming it as multidimensional anomaly detection. This task assumes that each sample corresponds to heterogeneous discriminative spaces, where each space character... ...
