Ye, C., Wilson, R. C. orcid.org/0000-0001-7265-3033 and Hancock, E. R. orcid.org/0000-0003-4496-2028 (2016) Analyzing graph time series using a generative model. In: Davis, L., Bimbo, A. Del and Lovell, B., (eds.) 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE Computer Society , Los Alamitos, CA, USA , pp. 3338-3343.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | ©2016 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. |
Keywords: | Analytical models,Complexity theory,Computational modeling,Data models,Entropy,Probabilistic logic,Probability distribution |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 Jul 2016 09:42 |
Last Modified: | 02 Feb 2025 00:03 |
Published Version: | https://doi.org/10.1109/ICPR.2016.7900149 |
Status: | Published |
Publisher: | IEEE Computer Society |
Identification Number: | 10.1109/ICPR.2016.7900149 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103070 |