Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation

Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation Abstract: This paper investigates a framework of search-based face annotation (SBFA) by mining weakly labeled facial images that are freely available on the World Wide Web (WWW). One challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list […]


Low-Rank Neighbor Embedding for Single Image Super-Resolution

Low-Rank Neighbor Embedding for Single Image Super-Resolution Abstract: This letter proposes a novel single image super-resolution (SR) method based on the low-rank matrix recovery (LRMR) and neighbor embedding (NE). LRMR is used to explore the underlying structures of subspaces spanned by similar patches. Specifically, the training patches are first divided into groups. Then the LRMR […]