Edwin R Hancock

Contact details

Type of addressPostal address
Postal codeYO10 5GH
CountryUnited Kingdom
Address lines
  • Computer Science
    University of York
    Deramore Lane
    York
    YO10 5GH

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Prof. Edwin R Hancock, B.Sc., Ph.D., D.Sc., DUniv (Hon. Causa), FIAPR, FIEEE, FIET, FInstP

Emeritus Professor

  1. 2019
  2. Polar Transformation on Image Features for Orientation-Invariant Representations

    Chen, J., Lue, Z., Zhang, Z., Huang, F., Ye, Z., Tagiuchi, T. & Hancock, E. R., Feb 2019

    Article in IEEE Transactions on Multimedia

  3. Cross-modal Hashing with Semantic Deep Embedding

    Yan, C., Bai, X., Wang, S., Zhou, J. & Hancock, E. R., 23 Jan 2019

    Article in Neurocomputing

  4. 2018
  5. Face Frontalization using an Appearance-Flow-based Convolutional Neural Network

    Zhang, Z., Xu, C., Wang, B., Hu, G., Zuo, W. & Hancock, E. R., 25 Nov 2018, (Accepted/In press)

    Article in IEEE Transactions on Image Processing

  6. Quantum-based subgraph convolutional neural networks

    Zhang, Z., Chen, D., Wang, J., Bai, L. & Hancock, E. R., 6 Nov 2018

    Article in Pattern recognition

  7. Thermodynamic Analysis of Time Evolving Networks

    Ye, C., Wilson, R. C., Rossi, L., Torsello, A. & Hancock, E. R., 28 Sep 2018, (Accepted/In press)

    Article in Entropy

  8. Local-global nested graph kernels using nested complexity traces

    Bai, L., Cui, L., Rossi, L., xu, L., Xiao, B. & Hancock, E. R., 19 Jun 2018

    Article in Pattern Recognition Letters

  9. A Deep Hybrid Graph Kernel through Deep Learning Networks

    Cui, L., Bai, L., Rossi, L. & Hancock, E. R., 11 Apr 2018, (Accepted/In press).

    Research output: Contribution to conferencePaper

  10. A Unified Neighbor Reconstruction Method for Embeddings

    Hancock, E. R., Zhang, Z. H. & Bai, L., 11 Apr 2018, (Accepted/In press). 6 p.

    Research output: Contribution to conferencePaper

  11. Depth-Based Subgraph Convolutional Neural Networks

    Zhang, Z., Hancock, E. R., Bai, L. & Cui, L., 11 Apr 2018, (Accepted/In press). 6 p.

    Research output: Contribution to conferencePaper

  12. Directed Graph Evolution from Euler-Lagrange Dynamics

    Wang, J., Wilson, R. C. & Hancock, E. R., 11 Apr 2018, (Accepted/In press). 6 p.

    Research output: Contribution to conferencePaper

  13. Local Binary Patterns for Graph Characterization

    Jawad, M., Aziz, F. & Hancock, E. R., 11 Apr 2018, (Accepted/In press). 6 p.

    Research output: Contribution to conferencePaper

  14. Net4lap: Neural Laplacian Regularization for Ranking and Re-Ranking

    Curado, M., Escolano, F., Lozano, M. & Hancock, E. R., 11 Apr 2018, (Accepted/In press).

    Research output: Contribution to conferencePaper

  15. Semi-Supervised Graph Rewiring with the Dirichlet Principle

    Curado, M., Escolano, F., Lozano, M. A. & Hancock, E. R., 11 Apr 2018, (Accepted/In press). 6 p.

    Research output: Contribution to conferencePaper

  16. Bragg Diffraction Patterns as Graph Characteristics

    Escolano, F. & Hancock, E. R., 22 Mar 2018, Eleventh International Conference on Energy Minimisation Methods in Computer Vision and Pattern Recognition. Springer Nature , Vol. 10746. p. 59-72 13 p. (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  17. Proceedings of the Tenth Workshop on Energy Methods in Computer Vision and Pattern Recognition

    Pelillo, M. (ed.) & Hancock, E. R., Mar 2018, Berlin: Springer. 500 p. (Lecture Notes in Computer Science; vol. 10746)

    Research output: Book/ReportAnthology

  18. Euler Lagrange Network Dynamics

    Wang, J., Wilson, R. C. & Hancock, E. R., 14 Feb 2018, Eleventh International Conference on Energy Minimisation Methods in Computer Vision and Pattern Recognition. Springer, Vol. 10746. p. 399-413 14 p. (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. Graph Time Series Analysis Using Transfer Entropy

    Caglar, I. & Hancock, E. R., 2018, Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings. p. 217-226 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  20. Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings

    Bai, X., Hancock, E. R. (ed.), Ho, T. K. (ed.), Wilson, R. C. (ed.), Biggio, B. (ed.) & Robles-Kelly, A., 2018, SPRINGER. 540 p. (Lecture Notes in Computer Science)

    Research output: Book/ReportAnthology

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