Wang, Jianjia, Wilson, R. C. orcid.org/0000-0001-7265-3033 and Hancock, E. R. orcid.org/0000-0003-4496-2028 (2016) Network entropy analysis using the Maxwell-Boltzmann partition function. 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. 1321-1326.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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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: | Data models,Energy states,Entropy,Heating systems,Laplace equations,Numerical models,Thermodynamics |
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: | 03 May 2017 13:40 |
Last Modified: | 02 Apr 2025 23:31 |
Published Version: | https://doi.org/10.1109/ICPR.2016.7899820 |
Status: | Published |
Publisher: | IEEE Computer Society |
Identification Number: | 10.1109/ICPR.2016.7899820 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115962 |