A novel entropy-based graph signature from the average mixing matrix

Bai, L., Rossi, L., Cui, Lixin et al. (1 more author) (2016) A novel entropy-based graph signature from the average mixing matrix. 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. 1339-1344.


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Keywords: Eigenvalues and eigenfunctions, Entropy, Kernel, Laplace equations, Pattern recognition, Probability distribution, Quantum computing
  • 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: 19 Jun 2023 23:03
Published Version: https://doi.org/10.1109/ICPR.2016.7899823
Status: Published
Publisher: IEEE Computer Society
Refereed: No
Identification Number: https://doi.org/10.1109/ICPR.2016.7899823


Filename: ICPR16_0705_MS_2_.pdf

Description: ICPR16_0705_MS (2)