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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/23803
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dc.contributor.authorChen, X-
dc.contributor.authorJin, Z-
dc.contributor.authorWang, Q-
dc.contributor.authorYang, W-
dc.contributor.authorLiao, Q-
dc.contributor.authorMeng, H-
dc.date.accessioned2021-12-22T10:57:30Z-
dc.date.available2021-12-22T10:57:30Z-
dc.date.issued2021-12-02-
dc.identifier.citationChen, X., Jin, Z., Wang, Q., Yang, W., Liao, Q. and Meng, H. (2021) 'Unsupervised visual feature learning based on similarity guidance', Neurocomputing, 0 (in press), pp. 1-12 (21). doi: 10.1016/j.neucom.2021.11.102.en_US
dc.identifier.issn0925-2312-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/23803-
dc.description.sponsorshipShenzhen Science and Technology Projects under Grant JCYJ20200109143035495; Natural Science Foundation of China under Grant 51975394.en_US
dc.format.extent1 - 12 (12)-
dc.format.mediumPrint-Electronic-
dc.languageen-
dc.language.isoen_USen_US
dc.publisherElsevier BVen_US
dc.subjectunsupervised learningen_US
dc.subjectsimilarity measurementen_US
dc.subjectfeature generationen_US
dc.subjectimage retrievalen_US
dc.titleUnsupervised visual feature learning based on similarity guidanceen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.neucom.2021.11.102-
dc.relation.isPartOfNeurocomputing-
pubs.publication-statusPublished-
pubs.volume0-
dc.identifier.eissn1872-8286-
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

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