Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments
Images are uploaded to the Internet over time which makes concept drifting and distribution change in semantic classes unavoidable. Current hashing methods being trained using a given static database may not be suitable for nonstationary semantic image retrieval problems. Moreover, directly retraini...
|Published in:||IEEE transactions on cybernetics, Vol. 49, No. 11 (2019), p. 3844-3858|
|Other Involved Persons:||; ; ;|
|Item Description:||Date Revised 24.07.2019|
Citation Status PubMed-not-MEDLINE
Copyright: From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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