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  1. 3D Mesh Steganalysis using local shape features

    Li, Z. & Bors, A. G., May 2016, Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 2144-2148 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  2. 3D Steganalysis Using LaplacianSmoothing at Various Levels

    Li, Z., Liu, F. & Bors, A. G., 2018, Proc. International Conference on Cloud Computing and Security (ICCCS). Springer, Vol. 11068. p. 223-232 (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  3. 3D Steganalysis Using the Extended Local Feature Set

    Li, Z., Gong, D., Liu, F. & Bors, A. G., 2018, Proc. of IEEE International Conference on Image Processing. IEEE, p. 1683-1687 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  4. 7th international workshop on performance modeling, benchmarking and simulation of high performance computing systems (PMBS 2016)

    Jarvis, S. A., Wright, S. A. & Hammond, S. D., 2 Feb 2017

    Editorial in Proceedings of PMBS 2016: 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis

  5. A 2D Morphable Model of Craniofacial Profile and its Application to Craniosynostosis

    Dai, H., Pears, N. E. & Duncan, C., 30 Nov 2017.

    Research output: Contribution to conference › Paper › peer-review

  6. A 3D Morphable Model of Craniofacial Shape and Texture Variation

    Dai, H., Pears, N. E., Smith, W. A. P. & Duncan, C., 25 Dec 2017, Proceedings - 2017 IEEE International Conference on Computer Vision, ICCV 2017. Vol. 2017-October. p. 3104-3112 9 p. 8237597. ( Title Proceedings / IEEE International Conference on Computer Vision.).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  7. A 65nm CMOS lossless bio-signal compression circuit with 250 femtoJoule performance per bit.

    Crispin-Bailey, C., Dai, C. & Austin, J., Oct 2019

    Article in IEEE Transactions on Biomedical Circuits and Systems

  8. A Binary Neural Decision Table Classifier

    Hodge, V. J., O'Keefe, S. & Austin, J., 29 Aug 2004.

    Research output: Contribution to conference › Paper › peer-review

  9. A Binary Neural Network Framework for Attribute Selection and Prediction

    Hodge, V. J., Jackson, T. & Austin, J., 5 Oct 2012, p. 510-515. 5 p.

    Research output: Contribution to conference › Paper › peer-review

  10. A Binary Neural Shape Matcher using Johnson Counters and Chain Codes

    Hodge, V., O'Keefe, S. & Austin, J., 10 Mar 2006, BICS.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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