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Author

Wentao Li

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Jul 2026

Similarity-based multi-view positive and unlabeled learning

SMVPU first extracts reliable negative samples from the unlabeled set and assigns similarity-weighted values to the remaining unlabeled instances, and then incorporates multi-view representations to enhance feature compatibility and discriminability.

Bo Liu, Wentao Li, Fan Cao et al. · 0 citations

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