Constrained nonnegative matrix factorization-based semi-supervised multi-label learning

Yu, D Fu, B Xu, G

Qin, A

Permalink

Closed Access

	Filename	Description	Size
	Yu2018_Article_ConstrainedNonnegativeMatrixFa.pdf	Published Version	1.42 MB	Adobe PDF	View/Open

Copyright Clearance Process

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Yu, D	en_US
dc.contributor.author	Fu, B	en_US
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663	en_US
dc.contributor.author	Qin, A	en_US
dc.date.issued	2020	en_US
dc.identifier.citation	International Journal of Machine Learning and Cybernetics, 2020	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126035
dc.relation.ispartof	International Journal of Machine Learning and Cybernetics	en_US
dc.title	Constrained nonnegative matrix factorization-based semi-supervised multi-label learning	en_US
dc.type	Journal Article
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US

Please use this identifier to cite or link to this item: