“…Hypergraph-based discrete hashing [34] simultaneously performs hypergraph learning and hash codes learning to enhance the semantic correlations among instances. [35] establishes multiple instance relation graphs to exploit fine-grained similarity relations between instances. Multi-view graph cross-modal hashing [36] constructs multi-view affinity and asymmetric graphs over anchor data which serve as a unified semantic hub in a semi-supervised manner.…”
“…Hypergraph-based discrete hashing [34] simultaneously performs hypergraph learning and hash codes learning to enhance the semantic correlations among instances. [35] establishes multiple instance relation graphs to exploit fine-grained similarity relations between instances. Multi-view graph cross-modal hashing [36] constructs multi-view affinity and asymmetric graphs over anchor data which serve as a unified semantic hub in a semi-supervised manner.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.