Lyudmila Mihaylova

发表

Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface

Mahnaz Arvaneh, Lyudmila Mihaylova, Ahmed M. Azab, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise

Cedric Nishan Canagarajah, David R. Bull, Lyudmila Mihaylova, 2011, IEEE Transactions on Mobile Computing.

Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications

Ahmed E. Kamal, Lyudmila Mihaylova, Mubashir Husain Rehmani, 2019, Future Gener. Comput. Syst..

Guaranteed computation of robot trajectories

Lyudmila Mihaylova, Sandor M. Veres, Luc Jaulin, 2017, Robotics Auton. Syst..

Interval Macroscopic Models for Traffic Networks

Lyudmila Mihaylova, Amadou Gning, René K. Boel, 2011, IEEE Transactions on Intelligent Transportation Systems.

Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements

Lyudmila Mihaylova, Roland Lamberti, François Septier, 2018, IEEE Transactions on Signal and Information Processing over Networks.

A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes

Mahnaz Arvaneh, Lyudmila Mihaylova, Waqas Aftab, 2018, 2018 21st International Conference on Information Fusion (FUSION).

A game theory approach for congestion control in vehicular ad hoc networks

Lyudmila Mihaylova, Matthew B. Hawes, Hayder M. Amer, 2017, 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability? pdf

Lyudmila Mihaylova, Simon Maskell, V. Kurlin, 2007, ArXiv.

A Comparison of Decision Making Criteria and Optimization Methods for Active Robotic Sensing

Joris De Schutter, Lyudmila Mihaylova, Herman Bruyninckx, 2002, Numerical Methods and Application.

A novel Sequential Monte Carlo approach for extended object tracking based on border parameterisation

Lyudmila Mihaylova, Nikolay Petrov, Donka S. Angelova, 2011, 14th International Conference on Information Fusion.

Cedric Nishan Canagarajah, David R. Bull, Lyudmila Mihaylova, 2006, 2006 9th International Conference on Information Fusion.

The effect of recovery algorithms on compressive sensing background subtraction

Nicos G. Pavlidis, Lyudmila Mihaylova, Idris A. Eckley, 2013, 2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Sensor and Data Fusion

Nour-Eddin El Faouzi, Lyudmila Mihaylova, Lawrence A. Klein, 2012, Handbook of Soft Computing for Video Surveillance.

Enhanced GMM-Based Filtering with Measurement Update Ordering and Innovation-Based Pruning

Min Zhang, Xi Li, Lyudmila Mihaylova, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Sequential Monte Carlo tracking by fusing multiple cues in video sequences

Cedric Nishan Canagarajah, David R. Bull, Lyudmila Mihaylova, 2007, Image Vis. Comput..

A multisine approach for trajectory optimization based on information gain

Joris De Schutter, Lyudmila Mihaylova, Herman Bruyninckx, 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

Mixture of uniform probability density functions for non linear state estimation using interval analysis

Fahed Abdallah, Lyudmila Mihaylova, Amadou Gning, 2010, 2010 13th International Conference on Information Fusion.

A Monte Carlo Algorithm for State and Parameter Estimation of Extended Targets

Lyudmila Mihaylova, Donka S. Angelova, L. Mihaylova, 2006, International Conference on Computational Science.

Video Distribution Techniques Over WiMAX Networks for m-Health Applications

Lyudmila Mihaylova, Garik Markarian, Anna Zvikhachevskaya, 2012, IEEE Transactions on Information Technology in Biomedicine.

Compressive Sensing Based Design of Sparse Tripole Arrays

Wei Liu, Lyudmila Mihaylova, Matthew B. Hawes, 2015, Sensors.

Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors

Fahed Abdallah, Lyudmila Mihaylova, Simon J. Julier, 2014, Sensors.

A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods

Mahnaz Arvaneh, Lyudmila Mihaylova, Waqas Aftab, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Dealing with massive data with a distributed expectation propagation particle filter for object tracking

Lyudmila Mihaylova, Allan De Freitas, 2016, 2016 19th International Conference on Information Fusion (FUSION).

A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach

Lyudmila Mihaylova, Yulong Huang, Jonathon Chambers, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Articulated human body parts detection based on cluster background subtraction and foreground matching

Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell, 2013, Neurocomputing.

A Learning Gaussian Process Approach for Maneuvering Target Tracking and Smoothing

Lyudmila Mihaylova, Waqas Aftab, L. Mihaylova, 2020, IEEE Transactions on Aerospace and Electronic Systems.

A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions

Yonggang Zhang, Lyudmila Mihaylova, Jonathon A. Chambers, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Crowd tracking with box particle filtering

Lyudmila Mihaylova, Nikolay Petrov, Amadou Gning, 2014, 17th International Conference on Information Fusion (FUSION).

Data Space Adaptation for Multiclass Motor Imagery-based BCI

Mahnaz Arvaneh, Lyudmila Mihaylova, Kai Keng Ang, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Extended Object Tracking Using Mixture Kalman Filtering

Lyudmila Mihaylova, Donka S. Angelova, L. Mihaylova, 2006, Numerical Methods and Applications.

Combined feature-level video indexing using block-based motion estimation

Harish Bhaskar, Lyudmila Mihaylova, L. Mihaylova, 2010, 2010 13th International Conference on Information Fusion.

Overview of Environment Perception for Intelligent Vehicles

Henry Leung, Lyudmila Mihaylova, Ka-Veng Yuen, 2017, IEEE Transactions on Intelligent Transportation Systems.

Hybrid stochastic framework for freeway traffic flow modelling

Lyudmila Mihaylova, René K. Boel, R. Boel, 2003, ISICT.

A Capsule Network for Traffic Speed Prediction in Complex Road Networks

Peng Wang, Lyudmila Mihaylova, Youngjoo Kim, 2018, 2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Super resolution WiFi indoor localization and tracking

Lyudmila Mihaylova, Naveed Salman, Nayef Alsindi, 2014, 2014 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Md isa enhanced positioning techniques for hybrid wireless networks

Lyudmila Mihaylova, Anna Zvikhachevskaya, Vassil Gourov, 2011, GI-Jahrestagung.

Box Particle Filtering for extended object tracking

Lyudmila Mihaylova, Nikolay Petrov, Donka S. Angelova, 2012, 2012 15th International Conference on Information Fusion.

A shrinkage-based particle filter for tracking with correlated measurements

Chao Liu, Lyudmila Mihaylova, Inaki Esnaola, 2015, 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

A Sequential Monte Carlo Approach for Brain Source Localization

Lakhmi C. Jain, Lyudmila Mihaylova, Mariofanna Milanova, 2013 .

Contour segmentation in 2D ultrasound medical images with particle filtering

Lyudmila Mihaylova, Donka S. Angelova, L. Mihaylova, 2011, Machine Vision and Applications.

Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection

Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell, 2007, GI Jahrestagung.

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

Simon J. Godsill, Lyudmila Mihaylova, Amadou Gning, 2014, Digit. Signal Process..

An Improved Simulated Annealing Technique for Enhanced Mobility in Smart Cities

Moumena Chaqfeh, Lyudmila Mihaylova, Matthew B. Hawes, 2016, Sensors.

Multi-resolution learning vector quantisation based automatic colour clustering

Harish Bhaskar, Lyudmila Mihaylova, Andrew M. Payne, 2008, 2008 11th International Conference on Information Fusion.

Autonomous crowds tracking with box particle filtering and convolution particle filtering

Visakan Kadirkamanathan, Lyudmila Mihaylova, Donka S. Angelova, 2016, Autom..

Continuous-discrete filtering using EKF, UKF, and PF

Mark R. Morelande, Lyudmila Mihaylova, Mahendra Mallick, 2012, 2012 15th International Conference on Information Fusion.

Extended object tracking with convolution particle filtering

Lyudmila Mihaylova, Nikolay Petrov, Donka S. Angelova, 2012, 2012 6th IEEE International Conference Intelligent Systems.

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

Branko Ristic, Lyudmila Mihaylova, Amadou Gning, 2012, IEEE Transactions on Signal Processing.

Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks

Cedric Nishan Canagarajah, David R. Bull, Lyudmila Mihaylova, 2006, 2006 9th International Conference on Information Fusion.

Parallelized Particle and Gaussian Sum Particle Filters for Large-Scale Freeway Traffic Systems

Andreas Hegyi, Lyudmila Mihaylova, Amadou Gning, 2012, IEEE Transactions on Intelligent Transportation Systems.

Compressive sensing approaches for autonomous object detection in video sequences

Lyudmila Mihaylova, Olga Isupova, Danil Kuzin, 2015, 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Mobility Tracking in Cellular Networks Using Particle Filtering

Cedric Nishan Canagarajah, David R. Bull, Branko Ristic, 2007, IEEE Transactions on Wireless Communications.

A Kriging algorithm for location fingerprinting based on received signal strength

Chao Liu, Lyudmila Mihaylova, Inaki Esnaola, 2015, 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments

Christopher Nemeth, Lyudmila Mihaylova, Paul Fearnhead, 2014, IEEE Transactions on Signal Processing.

Dynamic Hierarchical Dirichlet Process for abnormal behaviour detection in video

Lyudmila Mihaylova, Olga Isupova, Danil Kuzin, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images

Lyudmila Mihaylova, Lingzhong Guo, Yifei Zhu, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Bayesian processing of big data using log homotopy based particle flow filters

Lyudmila Mihaylova, Wolfgang Koch, Martin Ulmke, 2017, 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods

Simon J. Godsill, Pini Gurfil, Lyudmila Mihaylova, 2013, Modeling, Simulation and Visual Analysis of Crowds.

A sequential Monte Carlo approach for extended object tracking in the presence of clutter

Lyudmila Mihaylova, Nikolay Petrov, Donka S. Angelova, 2011, GI-Jahrestagung.

Learning Capsules for Vehicle Logo Recognition

Roger K. Moore, Lyudmila Mihaylova, Ruilong Chen, 2018, 2018 21st International Conference on Information Fusion (FUSION).

EEG dynamic source localization using Marginalized Particle Filtering

Lyudmila Mihaylova, Petia Georgieva, Nidhal Bouaynaya, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Traffic state estimation via a particle filter with compressive sensing and historical traffic data

Lyudmila Mihaylova, Matthew B. Hawes, Hayder M. Amer, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Tracking With Sparse and Correlated Measurements via a Shrinkage-Based Particle Filter

Lyudmila Mihaylova, Chao Liu, Naveed Salman, 2017, IEEE Sensors Journal.

An algorithm for Morphological classification of motile human sperm

Lyudmila Mihaylova, Robert F. Harrison, Maria Luisa Davila Garcia, 2015, 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Probability hypothesis density filtering for real-time traffic state estimation and prediction

Nour-Eddin El Faouzi, Matthieu Canaud, Lyudmila Mihaylova, 2013, Networks Heterog. Media.

Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods

Simon J. Godsill, Lyudmila Mihaylova, Simon Maskell, 2011, IEEE Transactions on Signal Processing.

How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking?

Simon J. Godsill, Lyudmila Mihaylova, François Septier, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces

Mahnaz Arvaneh, Lyudmila Mihaylova, Kai Keng Ang, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Box-particle probability hypothesis density filtering

Daniel Cremers, Lyudmila Mihaylova, Wolfgang Koch, 2014, IEEE Transactions on Aerospace and Electronic Systems.

Short-Term Traffic Prediction with Vicinity Gaussian Process in the Presence of Missing Data

Peng Wang, Lyudmila Mihaylova, Youngjoo Kim, 2018, 2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty

Branko Ristic, Lyudmila Mihaylova, Amadou Gning, 2011, 14th International Conference on Information Fusion.

Uncertainty propagation in neural networks for sparse coding pdf

Lyudmila Mihaylova, Olga Isupova, Danil Kuzin, 2018, ArXiv.

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

Lyudmila Mihaylova, François Septier, Simon Godsill, 2017, IEEE Transactions on Antennas and Propagation.

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

Lyudmila Mihaylova, Amadou Gning, 2009, 2009 12th International Conference on Information Fusion.

Special collection on recent advances in sensor-based smart car technology

Lyudmila Mihaylova, Kye-Shin Lee, Rajendra Prasath, 2018, Int. J. Distributed Sens. Networks.

Short Term Traffic Flow Prediction with Particle Methods in the Presence of Sparse Data

Lyudmila Mihaylova, Matthew B. Hawes, Kennedy J. Offor, 2018, 2018 21st International Conference on Information Fusion (FUSION).

A novel measurement processing approach to the parallel expectation propagation unscented Kalman filter

Lyudmila Mihaylova, Fredrik Gunnarsson, Carsten Fritsche, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Bearings-only tracking with particle filtering for joint parameter learning and state estimation

Christopher Nemeth, Lyudmila Mihaylova, Paul Fearnhead, 2012, 2012 15th International Conference on Information Fusion.

On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking

Lyudmila Mihaylova, Waqas Aftab, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration

Henry Leung, Lyudmila Mihaylova, Bin Guo, 2019, Sensors.

Non-cooperative game based congestion control for data rate optimization in vehicular ad hoc networks

Lyudmila Mihaylova, Hayder M. Amer, Hayder A. A. Al-Kashoash, 2020, Ad Hoc Networks.

Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving

Ming Cen, Lyudmila Mihaylova, Hao Zhu, 2019, Sensors.

A convolution particle filtering approach for tracking elliptical extended objects

Lyudmila Mihaylova, Nikolay Petrov, Donka S. Angelova, 2013, Proceedings of the 16th International Conference on Information Fusion.

Vehicle logo recognition by spatial-SIFT combined with logistic regression

Wei Liu, Lyudmila Mihaylova, Jingjing Xiao, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Online vehicle logo recognition using Cauchy prior logistic regression

Lyudmila Mihaylova, Matthew B. Hawes, Olga Isupova, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Comparison of angle-only filtering algorithms in 3D using Cartesian and modified spherical coordinates

Mark R. Morelande, Lyudmila Mihaylova, Sanjeev Arulampalam, 2012, 2012 15th International Conference on Information Fusion.

Outlier-Robust Schmidt-Kalman Filter Using Variational Inference

Le Yang, Lyudmila Mihaylova, Yi Liu, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Location and Orientation Optimization for Spatially Stretched Tripole Arrays Based on Compressive Sensing

Wei Liu, Lyudmila Mihaylova, Matthew B. Hawes, 2017, IEEE Transactions on Signal Processing.

Motion anomaly detection and trajectory analysis in visual surveillance

Debi Prosad Dogra, Harish Bhaskar, Lyudmila Mihaylova, 2018, Multimedia Tools and Applications.

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

Lyudmila Mihaylova, François Septier, Avishy Carmi, 2016, Signal Process..

Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information

Lyudmila Mihaylova, Donka S. Angelova, L. Mihaylova, 2006, Digit. Signal Process..

Video object tracking with differential Structural SIMilarity index

Jie Yang, Lyudmila Mihaylova, Fanglin Wang, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks

Lyudmila Mihaylova, Donka S. Angelova, 2010, 2010 13th International Conference on Information Fusion.

Angle-only filtering in 3D using modified spherical and log spherical coordinates

Lyudmila Mihaylova, Sanjeev Arulampalam, Mahendra Mallick, 2011, 14th International Conference on Information Fusion.

Bearings Only Versus Bearings and Extent Tracking for Missile Guidance Systems Utilising Particle Methods

Lyudmila Mihaylova, Dave Vorley, Alexander Watson, 2010, GI Jahrestagung.

Information driven approach for sensor positioning in wireless sensor networks

Lyudmila Mihaylova, Arshad Ali, Costas S. Xydeas, 2011, GI-Jahrestagung.

An Introduction to Box Particle Filtering [Lecture Notes]

Fahed Abdallah, Branko Ristic, Lyudmila Mihaylova, 2013, IEEE Signal Processing Magazine.

On the performance of the Box Particle Filter for extended object tracking using laser data

Lyudmila Mihaylova, Nikolay Petrov, Wolfgang Koch, 2012, 2012 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Structural Recurrent Neural Network for Traffic Speed Prediction

Lyudmila Mihaylova, Youngjoo Kim, Peng Wang, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Approach for Reconstruction of Moving Brain Dipoles

Lyudmila Mihaylova, Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, 2013, ICIAR.

Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis

Lyudmila Mihaylova, Olga Isupova, Danil Kuzin, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning

Lyudmila Mihaylova, Olga Isupova, Le Yang, 2018, 2018 21st International Conference on Information Fusion (FUSION).

A Bayesian compressed sensing Kalman filter for direction of arrival estimation

Simon J. Godsill, Lyudmila Mihaylova, Matthew B. Hawes, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Location prediction optimisation in WSNs using Kriging interpolation

Bamidele Adebisi, Augustine Ikpehai, Lyudmila Mihaylova, 2016, IET Wirel. Sens. Syst..

Reliable non-linear state estimation involving time uncertainties

Lyudmila Mihaylova, Sandor M. Veres, Luc Jaulin, 2018, Autom..

Kalman filter sensitivity with respect to parametric noises uncertainty

Lyudmila Mihaylova, Nikola Madjarov, L. Mihaylova, 1996, Kybernetika.

A Gaussian Process Regression Approach for Fusion of Remote Sensing Images for Oil Spill Segmentation

Lyudmila Mihaylova, Le Yang, Fodio S. Longman, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects

Harish Bhaskar, Lyudmila Mihaylova, L. Mihaylova, 2011, EURASIP J. Image Video Process..

A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data

Lyudmila Mihaylova, Tarek Khadir, Oussama Laib, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Novel Wireless Communication Protocol for e-Health Applications

Lyudmila Mihaylova, Anna Zvikhachevskaya, L. Mihaylova, 2011 .

Contour extraction from ultrasound images viewed as a tracking problem

Lyudmila Mihaylova, Donka S. Angelova, 2009, 2009 12th International Conference on Information Fusion.

Non-linear state estimation using imprecise samples

Lyudmila Mihaylova, Simon J. Julier, Amadou Gning, 2013, Proceedings of the 16th International Conference on Information Fusion.

Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation

Lyudmila Mihaylova, Viktor Doychinov, Amadou Gning, 2009, GI Jahrestagung.

Localisation of Sensor Nodes with Hybrid Measurements in Wireless Sensor Networks

Lyudmila Mihaylova, Andrew H. Kemp, Naveed Salman, 2016, Sensors.

Particle filters and beamforming for EEG source estimation

Lakhmi C. Jain, Lyudmila Mihaylova, Petia Georgieva, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A box particle filter for stochastic and set-theoretic measurements with association uncertainty

Branko Ristic, Lyudmila Mihaylova, Amadou Gning, 2011, 14th International Conference on Information Fusion.

Cedric Nishan Canagarajah, David R. Bull, Lyudmila Mihaylova, 2009, Machine Vision and Applications.

Bayesian Neural Networks Uncertainty Quantification with Cubature Rules

Peng Wang, Lyudmila Mihaylova, Jikai Wang, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

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

Lyudmila Mihaylova, François Septier, Roland Lamberti, 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Statistical approach for reconstruction of dynamic brain dipoles based on EEG data

Lyudmila Mihaylova, Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling

Lyudmila Mihaylova, Peng Wang, Yueda Lin, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

MCMC-based tracking and identification of leaders in groups

Simon J. Godsill, Pini Gurfil, Lyudmila Mihaylova, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes

Shafayat Abrar, Lyudmila Mihaylova, Syed Safwan Khalid, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Online Sparse Multi-Output Gaussian Process Regression and Learning

Lyudmila Mihaylova, Le Yang, Ke Wang, 2019, IEEE Transactions on Signal and Information Processing over Networks.

An expectation maximisation algorithm for behaviour analysis in video

Lyudmila Mihaylova, Garik Markarian, Olga Isupova, 2015, 2015 18th International Conference on Information Fusion (Fusion).

American Sign Language Posture Understanding with Deep Neural Networks

Roger K. Moore, Lyudmila Mihaylova, Ruilong Chen, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Traffic state estimation via a particle filter over a reduced measurement space

Lyudmila Mihaylova, Matthew B. Hawes, Hayder M. Amer, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Multiple land mines localization using a wireless sensor network

Fahed Abdallah, Lyudmila Mihaylova, Simon J. Julier, 2014, FUSION.

Robust Learning via Ensemble Density Propagation in Deep Neural Networks

Lyudmila Mihaylova, Dimah Dera, Ghulam Rasool, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Extended Object Tracking Using Monte Carlo Methods

Lyudmila Mihaylova, Donka S. Angelova, L. Mihaylova, 2008, IEEE Transactions on Signal Processing.

Tracking of wireless mobile nodes in he presence of unknown path-loss characteristics

Lyudmila Mihaylova, Andrew H. Kemp, Naveed Salman, 2015, 2015 18th International Conference on Information Fusion (Fusion).

A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources

Lakhmi C. Jain, Lyudmila Mihaylova, Petia Georgieva, 2016, IEEE Journal of Biomedical and Health Informatics.

Oil spill segmentation in fused Synthetic Aperture Radar images

Lyudmila Mihaylova, Daniel Coca, Fodio S Longman, 2016, 2016 4th International Conference on Control Engineering & Information Technology (CEIT).

A novel approach to estimating current and future states of technical systems

Lyudmila Mihaylova, Denis Kolev, Denis Rodionov, 2012, 2012 International Conference on Computing, Networking and Communications (ICNC).

Quality of Service Consideration for the Wireless Telemedicine and E-Health Services

Lyudmila Mihaylova, Garik Markarian, Anna Zvikhachevskaya, 2009, 2009 IEEE Wireless Communications and Networking Conference.

A Flexible Robust Student's t Multi-Model Approach with Maximum Versoria Criterion

Lyudmila Mihaylova, Chen Shen, 2020 .

Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models

Harish Bhaskar, Lyudmila Mihaylova, Alin Achim, 2010, IEEE Transactions on Circuits and Systems for Video Technology.

Dual-satellite source geolocation with time and frequency offsets and satellite location errors

Chao Liu, Lyudmila Mihaylova, Le Yang, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Particle filtering with multiple cues for object tracking in video sequences

Cedric Nishan Canagarajah, David R. Bull, Lyudmila Mihaylova, 2005, IS&T/SPIE Electronic Imaging.

A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter

Romain Billot, Nour-Eddin El Faouzi, Matthieu Canaud, 2012, 2012 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF).

A multisine approach for trajectory optimization based on information gain

Joris De Schutter, Lyudmila Mihaylova, Herman Bruyninckx, 2003, Robotics Auton. Syst..

The Influence of Multi-Sensor Video Fusion on Object Tracking Using a Particle Filter

Cedric Nishan Canagarajah, David R. Bull, Stavri G. Nikolov, 2006, GI Jahrestagung.

Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes

Roland Hostettler, Mahnaz Arvaneh, Lyudmila Mihaylova, 2019, IEEE Transactions on Vehicular Technology.

Box-particle PHD filter for multi-target tracking

Daniel Cremers, Lyudmila Mihaylova, Wolfgang Koch, 2012, 2012 15th International Conference on Information Fusion.

Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors

Lyudmila Mihaylova, Olga Isupova, Danil Kuzin, 2018, IEEE Transactions on Signal Processing.

Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking

Lyudmila Mihaylova, Avishy Carmi, L. Mihaylova, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Autonomous flame detection in video based on saliency analysis and optical flow

Lyudmila Mihaylova, Lucile Rossi, Zhenglin Li, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Unscented compressed sensing

Dimitri Kanevsky, Lyudmila Mihaylova, Avishy Carmi, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ground target group structure and state estimation with particle filtering

Simon J. Godsill, Lyudmila Mihaylova, Simon Maskell, 2008, 2008 11th International Conference on Information Fusion.

Monte Carlo Algorithm for Maneuvering Target Tracking and Classification

Lyudmila Mihaylova, Tzvetan Semerdjiev, Donka S. Angelova, 2004, International Conference on Computational Science.

A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking

Alberto Olivares, Lyudmila Mihaylova, Ernesto Staffetti, 2021, IEEE Transactions on Aerospace and Electronic Systems.

A Convolutional Neural Network Combined with a Gaussian Process for Speed Prediction in Traffic Networks

Lyudmila Mihaylova, Peng Wang, Yifei Zhu, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Multi-type Aircraft of Remote Sensing Images: MTARSI 2

Lyudmila Mihaylova, Richard N. M. Rudd-Orthner, L. Mihaylova, 2021 .

A deep learning framework for autonomous flame detection

Lyudmila Mihaylova, Zhenglin Li, Le Yang, 2021, Neurocomputing.

A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach

Lyudmila Mihaylova, Daniel Coca, Martin Mayfield, 2021, Signal Process..

A Gaussian Process Method with Uncertainty Quantification for Air Quality Monitoring

Lyudmila Mihaylova, Martin Mayfield, Said Munir, 2021, Atmosphere.

Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images

Lyudmila Mihaylova, Nidhal Bouaynaya, Mahed Javed, 2021, FUSION.

Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review

Sean R. Anderson, Jonathan M. Aitken, Lyudmila Mihaylova, 2021, IEEE Access.