A non-parametric algorithm recognizes one person from a single labeled face image and unlabeled data stream, achieving 90% recall at near-zero false positives on 43 people, 25% above baselines.
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A soft harmonic function approach estimates label confidence for conditional anomaly detection while regularizing against isolated examples and distribution boundaries.
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Learning from a single labeled face and a stream of unlabeled data
A non-parametric algorithm recognizes one person from a single labeled face image and unlabeled data stream, achieving 90% recall at near-zero false positives on 43 people, 25% above baselines.
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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.