A soft harmonic function approach estimates label confidence for conditional anomaly detection while regularizing against isolated examples and distribution boundaries.
Analysis of new techniques to obtain quality training sets
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Conditional anomaly detection with soft harmonic functions
A soft harmonic function approach estimates label confidence for conditional anomaly detection while regularizing against isolated examples and distribution boundaries.