QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging

10.1109/ism.2016.0016

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Bibliographic Details
Main Authors:	Nwana, Amandianeze O, Chen, Tsuhan
Other Authors:	OFFICE OF THE DEPUTY PRESIDENT(RES&TECH)
Format:	Article
Published:	IEEE 2022
Subjects:	cs.IR cs.LG cs.MM cs.SI
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/225696
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-225696
record_format	dspace
spelling	sg-nus-scholar.10635-2256962024-10-25T23:56:01Z QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging Nwana, Amandianeze O Chen, Tsuhan OFFICE OF THE DEPUTY PRESIDENT(RES&TECH) Prof Tsuhan Chen cs.IR cs.IR cs.LG cs.MM cs.SI 10.1109/ism.2016.0016 2016 IEEE International Symposium on Multimedia (ISM) abs/1601.06440 2022-05-18T08:57:14Z 2022-05-18T08:57:14Z 2016-12 2022-05-18T08:17:55Z Article Nwana, Amandianeze O, Chen, Tsuhan (2016-12). QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging. 2016 IEEE International Symposium on Multimedia (ISM) abs/1601.06440. ScholarBank@NUS Repository. https://doi.org/10.1109/ism.2016.0016 https://scholarbank.nus.edu.sg/handle/10635/225696 IEEE Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	cs.IR cs.IR cs.LG cs.MM cs.SI
spellingShingle	cs.IR cs.IR cs.LG cs.MM cs.SI Nwana, Amandianeze O Chen, Tsuhan QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging
description	10.1109/ism.2016.0016
author2	OFFICE OF THE DEPUTY PRESIDENT(RES&TECH)
author_facet	OFFICE OF THE DEPUTY PRESIDENT(RES&TECH) Nwana, Amandianeze O Chen, Tsuhan
format	Article
author	Nwana, Amandianeze O Chen, Tsuhan
author_sort	Nwana, Amandianeze O
title	QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging
title_short	QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging
title_full	QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging
title_fullStr	QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging
title_full_unstemmed	QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging
title_sort	quote: “querying” users as oracles in tag engines a semi-supervised learning approach to personalized image tagging
publisher	IEEE
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/225696
_version_	1821185338705444864

QUOTE: “Querying” Users as Oracles in Tag Engines a Semi-Supervised Learning Approach to Personalized Image Tagging

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