Search - IMT - Institut Mines-Télécom Access content directly

Filter your results

13 Results
authFullName_s : Lyudmila Mihaylova

Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation With Mutual Coupling Effects

Matthew Hawes , Lyudmila Mihaylova , François Septier , Simon Godsill
IEEE Transactions on Antennas and Propagation, 2017, 65 (3), pp.1357 - 1368. ⟨10.1109/TAP.2017.2655013⟩
Journal articles hal-01678899v1

A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation

Matthew Hawes , Lyudmila Mihaylova , François Septier , Simon J. Godsill
Int. Conf. on Information Fusion (FUSION), Jul 2015, Washington D.C., United States
Conference papers hal-01198417v1
Image document

MCMC-Based Tracking and Identification of Leaders in Groups

Avishy Carmi , Lyudmila Mihaylova , François Septier , Sze Kim Pang , Pini Gurfil , et al.
IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Nov 2011, Barcelona, Spain. pp.112-119, ⟨10.1109/ICCVW.2011.6130232⟩
Conference papers hal-00685921v1

An Expectation Maximisation Algorithm for Behaviour Analysis in Video

Olga Isupova , Lyudmila Mihaylova , Danil Kuzin , Garik Markarian , François Septier
Int. Conf. on Information Fusion (FUSION), Jul 2015, Washington D.C., United States
Conference papers hal-01198415v1
Image document

Guaranteed computation of robot trajectories

Simon Rohou , Luc Jaulin , Lyudmila Mihaylova , Fabrice Le Bars , Sandor M Veres
Robotics and Autonomous Systems, 2017, 93, pp.76 - 84. ⟨10.1016/j.robot.2017.03.020⟩
Journal articles hal-01516228v1

Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods

Avishy Carmi , Lyudmila Mihaylova , François Septier , Sze Kim Pang , Pini Gurfil , et al.
Modeling, Simulation and Visual Analysis of Crowds: A Multidisciplinary Perspective, Eds S. Ali, K. Nishino, D. Manocha, M. Shah - Springer, pp.325-346, 2013, The International Series in Video Computing Volume 11, 978-1461484820
Book sections hal-00937296v1
Image document

Reliable non-linear state estimation involving time uncertainties

Simon Rohou , Luc Jaulin , Lyudmila Mihaylova , Fabrice Le Bars , Sandor M Veres
Automatica, 2018, 93, pp.379-388. ⟨10.1016/j.automatica.2018.03.074⟩
Journal articles hal-01778187v1

How Can Subsampling Reduce Complexity in Sequential MCMC Methods and Deal with Big Data in Target Tracking?

Allan de Freitas , François Septier , Lyudmila Mihaylova , Simon J. Godsill
Int. Conf. on Information Fusion (FUSION), Jul 2015, Washington D.C., United States
Conference papers hal-01198419v1

Subgradient-based Markov Chain Monte Carlo particle methods for discrete-time nonlinear filtering

Avishy Carmi , Lyudmila Mihaylova , François Septier
Signal Processing, 2016, 120, pp.532-536. ⟨10.1016/j.sigpro.2015.10.015⟩
Journal articles hal-01238925v1

Sequential Markov Chain Monte Carlo for multi-target tracking with correlated RSS measurements

Roland Lamberti , François Septier , Naveed Salman , Lyudmila Mihaylova
IEEE 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Apr 2015, Singapore, Singapore. ⟨10.1109/ISSNIP.2015.7106901⟩
Conference papers hal-01144848v1

Reliable Robot Localization: A Constraint-programming Approach over Dynamical Systems

Simon Rohou , Luc Jaulin , Lyudmila Mihaylova , Fabrice Le Bars , Sandor M. Veres
Books hal-02435019v1

Gradient based sequential Markov chain Monte Carlo for multi-target tracking with correlated measurements

Roland Lamberti , François Septier , Naveed Salman , Lyudmila Mihaylova
IEEE Transactions on Signal and Information Processing over Networks, 2018, 4 (3), pp.510-518. ⟨10.1109/TSIPN.2017.2756563⟩
Journal articles hal-01678925v1

Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking

Lyudmila Mihaylova , Avishy Carmi , François Septier , Amadou Gning , Sze Kim Pang , et al.
Digital Signal Processing, 2014, 25, pp.1-16. ⟨10.1016/j.dsp.2013.11.006⟩
Journal articles hal-00937289v1