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dc.contributor.authorDao, Minh Son
dc.contributor.authorPham, Quang Nhat Minh
dc.contributor.authorDang Nguyen, Duc Tien
dc.date.accessioned2019-10-25T18:54:07Z
dc.date.available2019-10-25T18:54:07Z
dc.date.created2017-09-28 23:07
dc.date.issued2017-09-15
dc.identifierhttp://www.rian.ie/143260/
dc.identifierhttp://doras.dcu.ie/22036/
dc.identifieroai:http://www.rian.ie/143260/
dc.identifier.urihttp://hdl.handle.net/20.500.12424/1464289
dc.description.abstractWe introduce a domain-speci c and late-fusion algorithm to cope with the challenge raised in The MediaEval 2017 Multimedia Satel- lite Task. Several known techniques are integrated based on domain- speci c criteria such as late fusion, tuning, ensemble learning, object detection using deep learning, and temporal-spatial-based event con rmation. Experimental results show that the proposed algo- rithm can overcome the main challenges of the proper discrimina- tion of the water levels in di erent areas as well as the consideration of di erent types of ooding events.
dc.format.mediumapplication/pdf
dc.language.isoeng
dc.relation.ispartofhttp://doras.dcu.ie/22036/1/Mediaeval_2017_paper_24.pdf
dc.sourceDao, Minh Son and Pham, Quang Nhat Minh and Dang Nguyen, Duc Tien (2017) A domain-based late-fusion for Disaster Image Retrieval from Social Media. In: MediaEval 2017 Multimedia Benchmark Workshop, 13-15 Sept 2017, Dublin.
dc.subjectMachine learning
dc.subjectInformation retrieval
dc.titleA domain-based late-fusion for Disaster Image Retrieval from Social Media
dc.typeConference item
ge.collectioncodeOAIDATA
ge.dataimportlabelOAI metadata object
ge.identifier.legacyglobethics:11522462
ge.identifier.permalinkhttps://www.globethics.net/gel/11522462
ge.lastmodificationdate2017-09-28 23:07
ge.lastmodificationuseradmin@pointsoftware.ch (import)
ge.submissions0
ge.oai.exportid149104
ge.oai.repositoryid7326
ge.oai.setnamePeerReviewed
ge.oai.setnameDCUPeerReviewed
ge.oai.setspecInstitution:DCU
ge.oai.setspecPeerReviewed
ge.oai.streamid2
ge.setnameGlobeEthicsLib
ge.setspecglobeethicslib
ge.linkhttp://www.rian.ie/143260/
ge.linkhttp://doras.dcu.ie/22036/


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