Polynomial Representation for Persistence Diagram

Wang, Z; Li, Q; Li, G; Xu, G

Polynomial Representation for Persistence Diagram

Wang, Z Li, Q Li, G Xu, G

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Issue Date:: 2019-06

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted manuscriptAdobe PDF (1.18 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Wang, Z	en_US
dc.contributor.author	Li, Q	en_US
dc.contributor.author	Li, G	en_US
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663	en_US
dc.date	2019-06-15	en_US
dc.date.accessioned	2020-03-20T10:10:25Z
dc.date.available	2021-08-12T19:01:02Z
dc.date.issued	2019-06	en_US
dc.identifier.citation	2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139448
dc.publisher	IEEE	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP140100937
dc.relation	http://purl.org/au-research/grants/arc/LP170100891
dc.relation.ispartof	2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	en_US
dc.relation.isbasedon	10.1109/cvpr.2019.00628	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.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Polynomial Representation for Persistence Diagram	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/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	open_access	*
pubs.finish-date	2019-06-20	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2019-06-15	en_US

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

http://hdl.handle.net/10453/139448