Network entropy analysis using the Maxwell-Boltzmann partition function

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.

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Item Type: Proceedings Paper
Authors/Creators:
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:
  • Published: 1 December 2016
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: 09 Mar 2024 00:05
Published Version: https://doi.org/10.1109/ICPR.2016.7899820
Status: Published
Publisher: IEEE Computer Society
Refereed: No
Identification Number: https://doi.org/10.1109/ICPR.2016.7899820

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