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...

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Bibliographic Details
Published in:IEEE transactions on cybernetics, Vol. 49, No. 11 (2019), p. 3844-3858
Main Author: Ng, Wing W Y
Other Involved Persons: Tian, Xing ; Pedrycz, Witold ; Wang, Xizhao ; Yeung, Daniel S
Format: electronic Article
Item Description:Date Revised 24.07.2019
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
Copyright: From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Physical Description:Online-Ressource
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