Joint Structured Graph Learning and Unsupervised Feature Selection

Peng, Y; Zhang, L; Kong, W; Nie, F; Cichocki, A

Joint Structured Graph Learning and Unsupervised Feature Selection

Peng, Y Zhang, L

Kong, W Nie, F Cichocki, A

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Issue Date:: 2019-05

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Field	Value	Language
dc.contributor.author	Peng, Y	en_US
dc.contributor.author	Zhang, L https://orcid.org/0000-0001-5126-1778	en_US
dc.contributor.author	Kong, W	en_US
dc.contributor.author	Nie, F	en_US
dc.contributor.author	Cichocki, A	en_US
dc.date	2019-05-12	en_US
dc.date.issued	2019-05	en_US
dc.identifier.citation	ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/136946
dc.publisher	IEEE	en_US
dc.relation.ispartof	ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)	en_US
dc.relation.isbasedon	10.1109/icassp.2019.8682439	en_US
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Joint Structured Graph Learning and Unsupervised Feature Selection	en_US
dc.type	Conference Proceeding
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/Students
utslib.copyright.status	closed_access
pubs.finish-date	2019-05-17	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2019-05-12	en_US

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http://hdl.handle.net/10453/136946