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Mining Weakly Labeled Web Facial Images For Search-Based Face Annotation
This paper investigates a framework of the search-based totally face annotation by mining weakly labeled facial images that are freely available on the world wide web. the one difficult trouble for the search-based face annotation scheme is how to efficiently perform annotation by means of exploiting the list of most comparable facial images and their weak labels which might be regularly noisy and incomplete. Tackleof this trouble, we recommend an powerful unsupervised label refinement methoddoi:10.5281/zenodo.1466751 fatcat:twgkaaoa4vde5dh7f2rbe3lxy4