Paper Info
Title
Concept Preserving Hashing for Semantic Image Retrieval With Concept Drift
Abstract
Current hashing-based image retrieval methods mostly assume that the database of images is static. However, this assumption is not true in cases where the databases are constantly updated (e.g., on the Internet) and there exists the problem of concept drift. The online (also known as incremental) hashing methods have been proposed recently for image retrieval where the database is not static. Howe...
Year
DOI
Venue
2021
10.1109/TCYB.2019.2955130
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
Hash functions,Image retrieval,Semantics,Training,Internet,Computer science
Journal
51
Issue
ISSN
Citations 
10
2168-2267
0
PageRank 
References 
Authors
0.34
29
3
Name
Order
Citations
PageRank
Xing Tian1163.27
Wing W. Y. Ng252856.12
hui wang37617.01