A probabilistic framework for graph clustering Luo, Bin, Robles-Kelly, Antonio, Torsello, Andrea, Wilson, Richard C and Hancock, Edwin R 2001, A probabilistic framework for graph clustering, in 2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, IEEE COMPUTER SOC,, pp. 912-919. Attached Files Name Description MIMEType Size Downloads Title A probabilistic framework for graph clustering Author(s) Luo, Bin Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971 Torsello, Andrea Wilson, Richard C Hancock, Edwin R Conference name Conference on Computer Vision and Pattern Recognition Conference location KAUAI, HI Conference dates 2001/12/08 - 2001/12/14 Title of proceedings 2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS Editor(s) Jacobs, A Baldwin, T Publication date 2001 Series IEEE Conference on Computer Vision and Pattern Recognition Start page 912 End page 919 Total pages 8 Publisher IEEE COMPUTER SOC Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Software Engineering Imaging Science & Photographic Technology Computer Science ORGANIZATION DISTANCE SHAPE ISBN 0-7695-1272-0 ISSN 1063-6919 Language eng Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30127506 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 19 Jul 2019, 14:09:51 EST Sat, 20 Jul 2019, 05:05:32 EST Sat, 20 Jul 2019, 06:06:55 EST Wed, 02 Dec 2020, 12:52:47 EST Wed, 02 Dec 2020, 12:54:20 EST Wed, 02 Dec 2020, 14:57:39 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 41 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 19 Jul 2019, 14:09:51 EST

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