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Dr Lyudmila Mihaylova

Formerly at Lancaster University

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  1. Published

    Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty

    Gning, A., Ristic, B. & Mihaylova, L., 2012, In: IEEE Transactions on Signal Processing. 60, 5, p. 2138-2151 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Introduction to the Box Particle Filtering

    Gning, A., Ristic, B., Mihaylova, L. & Abdallah, F., 12/06/2013, In: IEEE Signal Processing Magazine. 30, 4, p. 166-171 6 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Evolving networks for group object motion estimation

    Gning, A., Mihaylova, L., Maskell, S., Pang, S. K. & Godsill, S. J., 16/04/2008, IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications, 2008. IEEE, p. 99-106 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    Dynamic clustering and belief propagation for distributed inference in random sensor networks with deficient links.

    Gning, A. & Mihaylova, L., 7/07/2009, 12th International Conference on Information Fusion, 2009. FUSION '09. . IEEE, p. 656-663 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Mixture of Uniform Probability Density Functions for non Linear State Estimation using Interval Analysis.

    Gning, A., Mihaylova, L. & Abdallah, F., 28/07/2010, 13th Conference on Information Fusion (FUSION), 2010 . IEEE, p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Published

    Advances in Intelligent Signal Processing and Data Mining: Theory and Applications (Studies in Computational Intelligence

    Georgieva, P. (ed.), Mihaylova, L. (ed.) & Jain, L. (ed.), 1/01/2013, Berlin: Springer Verlag. 351 p. (Studies in Computational Intelligence; vol. 410, no. 1)

    Research output: Book/Report/Proceedings › Book

  7. Published

    Particle filters and beamforming for EEG source estimation

    Georgieva, P., Mihaylova, L., Bouaynaya, N. & Jain, L., 1/06/2012, Neural Networks (IJCNN), The 2012 International Joint Conference on. Brisbane, Australia: IEEE, p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Published

    Multiple Objective D-Optimal Sensor Management for Group Target Tracking

    Dolia, A., Mihaylova, L., Page, S., White, N., Harris, C. & Bull, D., 2006. 3 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  9. Published

    The effect of recovery algorithms on compressive sensing background subtraction

    Davies, R., Mihaylova, L., Pavlidis, N. & Eckley, I., 10/2013, Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on. IEEE, p. 1-6 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    An Efficient Visual Tracking Method for Multiple Moving Targets

    Chen, X., Bull, D. R., Mihaylova, L. & Canagarajah, N., 2007, Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on. Washington, DC, USA: IEEE Computer Society, p. 267-270 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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