SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2017.2771332
Abstract: Hashing methods have been widely used for efficient similarity retrieval on large scale image database. Traditional hashing methods learn hash functions to generate binary codes from hand-crafted features, which achieve limited accuracy since the hand-crafted… read more here.
Keywords: deep hashing; similarity; semi supervised; hashing methods ... See more keywords
Nonlinear Discrete Hashing
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DOI: 10.1109/tmm.2016.2620604
Abstract: In this paper, we propose a nonlinear discrete hashing approach to learn compact binary codes for scalable image search. Instead of seeking a single linear projection in most existing hashing methods, we pursue a multilayer… read more here.
Keywords: data samples; nonlinear discrete; binary codes; error ... See more keywords
Performance Analysis of Hashing Methods on the Employment of App
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v8i5.pp3512-3522
Abstract: The administrative process carried out continuously produces large data. So the search process takes a long time. The search process by hashing methods can save time faster. Hashing is methods that directly access data in… read more here.
Keywords: performance analysis; analysis hashing; analysis; process ... See more keywords