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ORCIDLyudmila Mihaylova
Lyudmila S. Mihaylova
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- affiliation: University of Sheffield, UK
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Journal Articles
- 2024
[j82]Bhoomika Gandhi, Lyudmila Mihaylova, Sanja Dogramadzi:
Head tracking using an optical soft tactile sensing surface. Frontiers Robotics AI 11 (2024)- [j81]Jinjin Yan
, Youbing Zheng, Jinquan Yang, Lyudmila Mihaylova, Weijie Yuan, Fuqiang Gu:
PLPF-VSLAM: An indoor visual SLAM with adaptive fusion of point-line-plane features. J. Field Robotics 41(1): 50-67 (2024) - [j80]Fethi Candan, Aykut Beke, Mahdi Mahfouf, Lyudmila Mihaylova:
A Real-time Fuzzy Interacting Multiple-Model Velocity Obstacle Avoidance Approach for Unmanned Aerial Vehicles. J. Intell. Robotic Syst. 110(2): 61 (2024) - [j79]Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova:
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human-robot collaborative manufacturing. Robotics Comput. Integr. Manuf. 85: 102608 (2024) - [j78]Giuseppina Carannante, Nidhal Bouaynaya, Ghulam Rasool, Lyudmila Mihaylova:
BaSIS-Net: From Point Estimate to Predictive Distribution in Neural Networks - A Bayesian Sequential Importance Sampling Framework. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j77]Fethi Candan, Omer Faruk Dik, Tufan Kumbasar, Mahdi Mahfouf, Lyudmila Mihaylova:
Real-Time Interval Type-2 Fuzzy Control of an Unmanned Aerial Vehicle with Flexible Cable-Connected Payload. Algorithms 16(6): 273 (2023) - [j76]Sarah Edwards, Rui Zhang, Rob Worley, Lyudmila Mihaylova, Jonathan M. Aitken, Sean R. Anderson:
A robust method for approximate visual robot localization in feature-sparse sewer pipes. Frontiers Robotics AI 10 (2023) - [j75]Jingxuan Su, Sean R. Anderson, Mahed Javed, Charoenchai Khompatraporn, Apinanthana Udomsakdigool, Lyudmila Mihaylova:
Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting. Neurocomputing 555: 126609 (2023) - [j74]Xingchi Liu, Mahsa Derakhshani, Lyudmila Mihaylova, Sangarapillai Lambotharan:
Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming. IEEE J. Sel. Areas Commun. 41(3): 740-754 (2023) - [j73]Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham:
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks. IEEE J. Sel. Top. Signal Process. 17(1): 295-310 (2023) - [j72]Rui Zhang, Rob Worley, Sarah Edwards, Jonathan M. Aitken, Sean R. Anderson, Lyudmila Mihaylova:
Visual Simultaneous Localization and Mapping for Sewer Pipe Networks Leveraging Cylindrical Regularity. IEEE Robotics Autom. Lett. 8(6): 3406-3413 (2023) - [j71]Muhammad Ali Shiwani, Timothy J. A. Chico, Fabio Ciravegna, Lyudmila Mihaylova:
Continuous Monitoring of Health and Mobility Indicators in Patients with Cardiovascular Disease: A Review of Recent Technologies. Sensors 23(12): 5752 (2023) - [j70]Haoran Cui, Lyudmila Mihaylova, Xiaoxu Wang, Shuaihe Gao:
Uncertainty-Aware Variational Inference for Target Tracking. IEEE Trans. Aerosp. Electron. Syst. 59(1): 258-273 (2023) - [j69]Chao Xue, Yulong Huang, Cheng Zhao, Xiaodong Li, Lyudmila Mihaylova, Youfu Li, Jonathon A. Chambers:
A Gaussian-Generalized-Inverse-Gaussian Joint-Distribution-Based Adaptive MSCKF for Visual-Inertial Odometry Navigation. IEEE Trans. Aerosp. Electron. Syst. 59(3): 2307-2328 (2023) - 2022
- [j68]Tianhao Zhang, Waqas Aftab, Lyudmila Mihaylova, Christian Langran-Wheeler, Samuel Rigby, David I. Fletcher, Steve Maddock, Garry Bosworth:
Recent Advances in Video Analytics for Rail Network Surveillance for Security, Trespass and Suicide Prevention - A Survey. Sensors 22(12): 4324 (2022) - [j67]Fengchi Zhu, Yulong Huang, Chao Xue, Lyudmila Mihaylova, Jonathon A. Chambers:
A Sliding Window Variational Outlier-Robust Kalman Filter Based on Student's t-Noise Modeling. IEEE Trans. Aerosp. Electron. Syst. 58(5): 4835-4849 (2022) - 2021
- [j66]Jonathan M. Aitken, Mathew H. Evans, Rob Worley, Seamus Edwards, Rui Zhang, Tony J. Dodd, Lyudmila Mihaylova, Sean R. Anderson:
Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review. IEEE Access 9: 140173-140198 (2021) - [j65]Peng Wang, Lyudmila Mihaylova, Philippe Bonnifait, Philippe Xu, Jianwen Jiang:
Feature-refined box particle filtering for autonomous vehicle localisation with OpenStreetMap. Eng. Appl. Artif. Intell. 105: 104445 (2021) - [j64]Hayder M. Amer, Hayder A. A. Al-Kashoash, Shuang Ma, Mohammed J. Khami, Lyudmila Mihaylova:
Hybrid game approach-based channel congestion control for the Internet of Vehicles. IET Wirel. Sens. Syst. 11(1): 32-44 (2021) - [j63]Zhenglin Li, Lyudmila Mihaylova, Le Yang:
A deep learning framework for autonomous flame detection. Neurocomputing 448: 205-216 (2021) - [j62]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
Deep ConvNet: Non-Random Weight Initialization for Repeatable Determinism, Examined with FSGM. Sensors 21(14): 4772 (2021) - [j61]Chen Shen, Lyudmila Mihaylova:
A flexible robust Student's t-based multimodel approach with maximum Versoria criterion. Signal Process. 182: 107941 (2021) - [j60]Peng Wang, Lyudmila Mihaylova, Said Munir, Rohit Chakraborty, Jikai Wang, Martin Mayfield, Khan Alam, Muhammad Fahim Khokhar, Daniel Coca:
A computationally efficient symmetric diagonally dominant matrix projection-based Gaussian process approach. Signal Process. 183: 108034 (2021) - [j59]Lyudmila Mihaylova, Gökhan Inalhan:
From the Editor-in-Chief FEBRUARY 2021. IEEE Trans. Aerosp. Electron. Syst. 57(1): 3-4 (2021) - [j58]Waqas Aftab, Lyudmila Mihaylova:
A Learning Gaussian Process Approach for Maneuvering Target Tracking and Smoothing. IEEE Trans. Aerosp. Electron. Syst. 57(1): 278-292 (2021) - [j57]Almudena Buelta, Alberto Olivares, Ernesto Staffetti, Waqas Aftab, Lyudmila Mihaylova:
A Gaussian Process Iterative Learning Control for Aircraft Trajectory Tracking. IEEE Trans. Aerosp. Electron. Syst. 57(6): 3962-3973 (2021) - 2020
- [j56]Hayder M. Amer, Hayder A. A. Al-Kashoash, Mohammed J. Khami, Martin Mayfield, Lyudmila Mihaylova:
Non-cooperative game based congestion control for data rate optimization in vehicular ad hoc networks. Ad Hoc Networks 107: 102181 (2020) - [j55]Ruilong Chen, Lyudmila Mihaylova, Hao Zhu, Nidhal C. Bouaynaya:
A Deep Learning Framework for Joint Image Restoration and Recognition. Circuits Syst. Signal Process. 39(3): 1561-1580 (2020) - [j54]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
Repeatable determinism using non-random weight initialisations in smart city applications of deep learning. J. Reliab. Intell. Environ. 6(1): 31-49 (2020) - [j53]Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers:
Robust Rauch-Tung-Striebel Smoothing Framework for Heavy-Tailed and/or Skew Noises. IEEE Trans. Aerosp. Electron. Syst. 56(1): 415-441 (2020) - 2019
- [j52]Tariq Umer, Mubashir Husain Rehmani, Ahmed E. Kamal, Lyudmila Mihaylova:
Information and resource management systems for Internet of Things: Energy management, communication protocols and future applications. Future Gener. Comput. Syst. 92: 1021-1027 (2019) - [j51]Hao Zhu, Bin Guo, Ke Zou, Yongfu Li, Ka-Veng Yuen, Lyudmila Mihaylova, Henry Leung:
A Review of Point Set Registration: From Pairwise Registration to Groupwise Registration. Sensors 19(5): 1191 (2019) - [j50]Hao Zhu, Ke Zou, Yongfu Li, Ming Cen, Lyudmila Mihaylova:
Robust Non-Rigid Feature Matching for Image Registration Using Geometry Preserving. Sensors 19(12): 2729 (2019) - [j49]Kennedy J. Offor, Lubos Vaci, Lyudmila S. Mihaylova:
Traffic Estimation for Large Urban Road Network with High Missing Data Ratio. Sensors 19(12): 2813 (2019) - [j48]Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Marek Schikora, Martin Ulmke, Donka S. Angelova, Wolfgang Koch:
A Box Particle Filter Method for Tracking Multiple Extended Objects. IEEE Trans. Aerosp. Electron. Syst. 55(4): 1640-1655 (2019) - [j47]Le Yang, Ke Wang, Lyudmila Mihaylova:
Online Sparse Multi-Output Gaussian Process Regression and Learning. IEEE Trans. Signal Inf. Process. over Networks 5(2): 258-272 (2019) - [j46]Waqas Aftab, Roland Hostettler, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova:
Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking With Irregular Shapes. IEEE Trans. Veh. Technol. 68(3): 2137-2151 (2019) - [j45]James A. Douthwaite, Shiyu Zhao, Lyudmila S. Mihaylova:
Velocity Obstacle Approaches for Multi-Agent Collision Avoidance. Unmanned Syst. 7(1): 55-64 (2019) - 2018
- [j44]Simon Rohou, Luc Jaulin, Lyudmila Mihaylova, Fabrice Le Bars, Sandor M. Veres:
Reliable non-linear state estimation involving time uncertainties. Autom. 93: 379-388 (2018) - [j43]Bryan (Byung-Gyu) Kim, Kye-Shin Lee, Lyudmila Mihaylova, Rajendra Prasath:
Special collection on recent advances in sensor-based smart car technology. Int. J. Distributed Sens. Networks 14(6) (2018) - [j42]Manaswi Chebiyyam, Rohit Desam Reddy, Debi Prosad Dogra, Harish Bhaskar, Lyudmila Mihaylova:
Motion anomaly detection and trajectory analysis in visual surveillance. Multim. Tools Appl. 77(13): 16223-16248 (2018) - [j41]Zhenglin Li, Lyudmila S. Mihaylova, Olga Isupova, Lucile Rossi:
Autonomous Flame Detection in Videos With a Dirichlet Process Gaussian Mixture Color Model. IEEE Trans. Ind. Informatics 14(3): 1146-1154 (2018) - [j40]Olga Isupova, Danil Kuzin, Lyudmila Mihaylova:
Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(9): 3980-3993 (2018) - [j39]Roland Lamberti, François Septier, Naveed Salman, Lyudmila Mihaylova:
Gradient-Based Sequential Markov Chain Monte Carlo for Multitarget Tracking With Correlated Measurements. IEEE Trans. Signal Inf. Process. over Networks 4(3): 510-518 (2018) - [j38]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors. IEEE Trans. Signal Process. 66(17): 4598-4611 (2018) - 2017
- [j37]Hayder A. A. Al-Kashoash, Hayder M. Amer, Lyudmila Mihaylova, Andrew H. Kemp:
Optimization-Based Hybrid Congestion Alleviation for 6LoWPAN Networks. IEEE Internet Things J. 4(6): 2070-2081 (2017) - [j36]Simon Rohou, Luc Jaulin, Lyudmila Mihaylova, Fabrice Le Bars, Sandor M. Veres:
Guaranteed computation of robot trajectories. Robotics Auton. Syst. 93: 76-84 (2017) - [j35]Hao Zhu, Ka-Veng Yuen, Lyudmila Mihaylova, Henry Leung:
Overview of Environment Perception for Intelligent Vehicles. IEEE Trans. Intell. Transp. Syst. 18(10): 2584-2601 (2017) - [j34]Matthew B. Hawes, Lyudmila Mihaylova, Wei Liu:
Location and Orientation Optimization for Spatially Stretched Tripole Arrays Based on Compressive Sensing. IEEE Trans. Signal Process. 65(9): 2411-2420 (2017) - 2016
- [j33]Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova, Visakan Kadirkamanathan:
Autonomous crowds tracking with box particle filtering and convolution particle filtering. Autom. 69: 380-394 (2016) - [j32]Arshad Ali, Augustine Ikpehai, Bamidele Adebisi, Lyudmila Mihaylova:
Location prediction optimisation in WSNs using Kriging interpolation. IET Wirel. Sens. Syst. 6(3): 74-81 (2016) - [j31]Hayder M. Amer, Naveed Salman, Matthew B. Hawes, Moumena Chaqfeh, Lyudmila Mihaylova, Martin Mayfield:
An Improved Simulated Annealing Technique for Enhanced Mobility in Smart Cities. Sensors 16(7): 1013 (2016) - [j30]Muhammad Waqas Khan, Naveed Salman, Andrew H. Kemp, Lyudmila Mihaylova:
Localisation of Sensor Nodes with Hybrid Measurements in Wireless Sensor Networks . Sensors 16(7): 1143 (2016) - [j29]Avishy Y. Carmi, Lyudmila Mihaylova, François Septier:
Subgradient-based Markov Chain Monte Carlo particle methods for discrete-time nonlinear filtering. Signal Process. 120: 532-536 (2016) - [j28]Petia Georgieva, Nidhal Bouaynaya, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Lakhmi C. Jain:
A Beamformer-Particle Filter Framework for Localization of Correlated EEG Sources. IEEE J. Biomed. Health Informatics 20(3): 880-892 (2016) - [j27]Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers:
Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model. IEEE Trans. Signal Process. 64(5): 1320-1335 (2016) - 2015
- [j26]Matthew B. Hawes, Wei Liu, Lyudmila Mihaylova:
Compressive Sensing Based Design of Sparse Tripole Arrays. Sensors 15(12): 31056-31068 (2015) - [j25]Harish Bhaskar, Kartik Dwivedi, Debi Prosad Dogra, Mohammed E. Al-Mualla, Lyudmila Mihaylova:
Autonomous detection and tracking under illumination changes, occlusions and moving camera. Signal Process. 117: 343-354 (2015) - 2014
- [j24]Lyudmila Mihaylova, Avishy Carmi, François Septier, Amadou Gning, Sze Kim Pang, Simon J. Godsill:
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking. Digit. Signal Process. 25: 1-16 (2014) - [j23]Hiba Haj Chhadé, Fahed Abdallah, Imad Mougharbel, Amadou Gning, Simon Julier, Lyudmila Mihaylova:
Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors. Sensors 14(11): 21000-21022 (2014) - [j22]Marek Schikora, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, Wolfgang Koch:
Box-particle probability hypothesis density filtering. IEEE Trans. Aerosp. Electron. Syst. 50(3): 1660-1672 (2014) - [j21]Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova:
Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments. IEEE Trans. Signal Process. 62(5): 1245-1255 (2014) - 2013
- [j20]Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell:
Articulated human body parts detection based on cluster background subtraction and foreground matching. Neurocomputing 100: 58-73 (2013) - [j19]Matthieu Canaud, Lyudmila Mihaylova, Jacques Sau, Nour-Eddin El Faouzi:
Probability hypothesis density filtering for real-time traffic state estimation and prediction. Networks Heterog. Media 8(3): 825-842 (2013) - [j18]Amadou Gning, Branko Ristic, Lyudmila Mihaylova, Fahed Abdallah:
An Introduction to Box Particle Filtering [Lecture Notes]. IEEE Signal Process. Mag. 30(4): 166-171 (2013) - 2012
- [j17]Garik Markarian, Lyudmila Mihaylova, Dmitry V. Tsitserov, Anna Zvikhachevskaya:
Video Distribution Techniques Over WiMAX Networks for m-Health Applications. IEEE Trans. Inf. Technol. Biomed. 16(1): 24-30 (2012) - [j16]Lyudmila Mihaylova, Andreas Hegyi, Amadou Gning, René K. Boel:
Parallelized Particle and Gaussian Sum Particle Filters for Large-Scale Freeway Traffic Systems. IEEE Trans. Intell. Transp. Syst. 13(1): 36-48 (2012) - [j15]Amadou Gning, Branko Ristic, Lyudmila Mihaylova:
Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty. IEEE Trans. Signal Process. 60(5): 2138-2151 (2012) - 2011
- [j14]Harish Bhaskar, Lyudmila Mihaylova:
Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects. EURASIP J. Image Video Process. 2011 (2011) - [j13]Donka S. Angelova, Lyudmila Mihaylova:
Contour segmentation in 2D ultrasound medical images with particle filtering. Mach. Vis. Appl. 22(3): 551-561 (2011) - [j12]Amadou Gning, Lyudmila Mihaylova, René K. Boel:
Interval Macroscopic Models for Traffic Networks. IEEE Trans. Intell. Transp. Syst. 12(2): 523-536 (2011) - [j11]Lyudmila Mihaylova, Donka S. Angelova, David R. Bull, Nishan Canagarajah:
Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise. IEEE Trans. Mob. Comput. 10(1): 44-53 (2011) - [j10]Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill:
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods. IEEE Trans. Signal Process. 59(4): 1383-1396 (2011) - 2010
- [j9]Harish Bhaskar, Lyudmila Mihaylova, Alin Achim:
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models. IEEE Trans. Circuits Syst. Video Technol. 20(8): 1133-1138 (2010) - 2009
- [j8]Artur Loza, Lyudmila Mihaylova, David R. Bull, Cedric Nishan Canagarajah:
Structural similarity-based object tracking in multimodality surveillance videos. Mach. Vis. Appl. 20(2): 71-83 (2009) - 2008
- [j7]Donka S. Angelova, Lyudmila Mihaylova:
Extended Object Tracking Using Monte Carlo Methods. IEEE Trans. Signal Process. 56(2): 825-832 (2008) - 2007
- [j6]Lyudmila Mihaylova, René K. Boel, Andreas Hegyi:
Freeway traffic estimation within particle filtering framework. Autom. 43(2): 290-300 (2007) - [j5]Paul Brasnett, Lyudmila Mihaylova, David R. Bull, Cedric Nishan Canagarajah:
Sequential Monte Carlo tracking by fusing multiple cues in video sequences. Image Vis. Comput. 25(8): 1217-1227 (2007) - [j4]Lyudmila Mihaylova, Donka S. Angelova, S. Honary, David R. Bull, Cedric Nishan Canagarajah, Branko Ristic:
Mobility Tracking in Cellular Networks Using Particle Filtering. IEEE Trans. Wirel. Commun. 6(10): 3589-3599 (2007) - 2006
- [j3]Donka S. Angelova, Lyudmila Mihaylova:
Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information. Digit. Signal Process. 16(2): 180-204 (2006) - 2003
- [j2]Lyudmila Mihaylova, Joris De Schutter, Herman Bruyninckx:
A multisine approach for trajectory optimization based on information gain. Robotics Auton. Syst. 43(4): 231-243 (2003) - 1996
- [j1]Nikola Madjarov, Lyudmila Mihaylova:
Kalman filter sensitivity with respect to parametric noises uncertainty. Kybernetika 32(3): 307-322 (1996)
Conference and Workshop Papers
- 2023
- [c146]Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue:
On the Approximation of the Quotient of Two Gaussian Densities for Multiple-Model Smoothing. FUSION 2023: 1-8 - [c145]Jingxuan Su, Sean R. Anderson, Lyudmila Mihaylova:
Holistic Self-Distillation with the Squeeze and Excitation Network for Fine-grained Plant Pathology Classification. FUSION 2023: 1-7 - [c144]Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova:
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. FUSION 2023: 1-8 - [c143]Fethi Candan, Aykut Beke, Lyudmila Mihaylova:
An Interacting Multiple Model Approach Based on Maximum Correntropy Student's T Filter. IROS 2023: 3314-3321 - 2022
- [c142]Navin Cooray, Zhenglin Li, Jinzhuo Wang, Christine Lo, Mahnaz Arvaneh, Mkael Symmonds, Michele T. M. Hu, Maarten De Vos, Lyudmila S. Mihaylova:
Automated Movement Detection with Dirichlet Process Mixture Models and Electromyography. FUSION 2022: 1-8 - [c141]Shidrokh Goudarzi, Wenwu Wang, Pei Xiao, Lyudmila Mihaylova, Simon J. Godsill:
UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking. FUSION 2022: 1-7 - [c140]Tassadaq Hussain, Wenwu Wang, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh, Lyudmila Mihaylova:
Deep Learning for Audio Visual Emotion Recognition. FUSION 2022: 1-8 - [c139]Xingchi Liu, Chenyi Lyu, Jemin George, Tien Pham, Lyudmila Mihaylova:
A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks. FUSION 2022: 1-8 - [c138]Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Yanbo Xue:
On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems. FUSION 2022: 1-8 - [c137]Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova:
Efficient Factorisation-based Gaussian Process Approaches for Online Tracking. FUSION 2022: 1-8 - [c136]Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang:
Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. ICASSP 2022: 5068-5072 - [c135]Fethi Candan, Aykut Beke, Chen Shen, Lyudmila Mihaylova:
An Interacting Multiple Model Correntropy Kalman Filter Approach for Unmanned Aerial Vehicle Localisation. INISTA 2022: 1-6 - [c134]Jingxuan Su, Sean R. Anderson, Lyudmila S. Mihaylova:
A Deep Learning Method with Cross Dropout Focal Loss Function for Imbalanced Semantic Segmentation. SDF 2022: 1-6 - [c133]Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova:
Review of Recent Advances in Gaussian Process Regression Methods. UKCI 2022: 226-237 - [c132]Chuhao Qin, Fethi Candan, Lyudmila Mihaylova, Evangelos Pournaras:
3, 2, 1, Drones Go! A Testbed to Take Off UAV Swarm Intelligence for Distributed Sensing. UKCI 2022: 576-587 - 2021
- [c131]Giuseppina Carannante, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
An Enhanced Particle Filter for Uncertainty Quantification in Neural Networks. FUSION 2021: 1-7 - [c130]Mahed Javed, Lyudmila Mihaylova, Nidhal Bouaynaya:
Variance Guided Continual Learning in a Convolutional Neural Network Gaussian Process Single Classifier Approach for Multiple Tasks in Noisy Images. FUSION 2021: 1-8 - [c129]Xi Li, Yi Liu, Le Yang, Lyudmila Mihaylova, Bing Deng:
Enhanced Fixed-Interval Smoothing for Markovian Switching Systems. FUSION 2021: 1-8 - [c128]Shenglin Wang, Peng Wang, Lyudmila Mihaylova, Matthew Hill:
Real-time Activation Pattern Monitoring and Uncertainty Characterisation in Image Classification. FUSION 2021: 1-7 - [c127]Yifei Zhu, Peng Wang, Lyudmila Mihaylova:
A Convolutional Neural Network Combined with a Gaussian Process for Speed Prediction in Traffic Networks. MFI 2021: 1-7 - [c126]Rui Zhang, Mathew H. Evans, Rob Worley, Sean R. Anderson, Lyudmila Mihaylova:
Improving SLAM in Pipe Networks by Leveraging Cylindrical Regularity. TAROS 2021: 56-65 - [c125]Seamus Edwards, Lyudmila Mihaylova, Jonathan M. Aitken, Sean R. Anderson:
Toward Robust Visual Odometry Using Prior 2D Map Information and Multiple Hypothesis Particle Filtering. TAROS 2021: 188-192 - [c124]Y. Lin, Peng Wang, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova:
Image Fusion for Remote Sizing of Hot High Quality Steel Sections. UKCI 2021: 357-368 - 2020
- [c123]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
Non-Random Weight Initialisation in Deep Convolutional Networks Applied to Safety Critical Artificial Intelligence. DeSE 2020: 1-8 - [c122]Joshua Giles, Kai Keng Ang, Lyudmila Mihaylova, Mahnaz Arvaneh:
Weighted Transfer Learning of Dynamic Time Warped Data for Motor Imagery based Brain Computer Interfaces. EMBC 2020: 2977-2980 - [c121]Waqas Aftab, Lyudmila Mihaylova:
On the Impact of Different Kernels and Training Data on a Gaussian Process Approach for Target Tracking. FUSION 2020: 1-6 - [c120]Zhenglin Li, Mahnaz Arvaneh, Heather E. Elphick, Ruth N. Kingshott, Lyudmila S. Mihaylova:
A Dirichlet Process Mixture Model for Autonomous Sleep Apnea Detection using Oxygen Saturation Data. FUSION 2020: 1-8 - [c119]Yi Liu, Xi Li, Yanbo Xue, Stephen John Weddell, Le Yang, Lyudmila Mihaylova:
Outlier-Robust Schmidt-Kalman Filter Using Variational Inference. FUSION 2020: 1-8 - [c118]Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova:
A Weighted Variance Approach for Uncertainty Quantification in High Quality Steel Rolling. FUSION 2020: 1-7 - [c117]Yifei Zhu, Alanna C. Green, Lingzhong Guo, Holly R. Evans, Lyudmila Mihaylova:
Machine Learning Approaches for Cancer Bone Segmentation from Micro Computed Tomography Images. FUSION 2020: 1-6 - [c116]Peng Wang, Nidhal C. Bouaynaya, Lyudmila Mihaylova, Jikai Wang, Qibin Zhang, Renke He:
Bayesian Neural Networks Uncertainty Quantification with Cubature Rules. IJCNN 2020: 1-7 - [c115]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. MLSP 2020: 1-6 - 2019
- [c114]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
Non-Random Weight Initialisation in Deep Learning Networks for Repeatable Determinism. DESSERT 2019: 223-230 - [c113]Hao Zhu, Chunxia Tang, Allan De Freitas, Lyudmila Mihaylova:
A Maximum Likelihood Approach to Joint Groupwise Image Registration and Fusion by a Student-$t$ Mixture Model. FUSION 2019: 1-7 - [c112]Waqas Aftab, Lyudmila Mihaylova:
A Gaussian Process Regression Approach for Point Target Tracking. FUSION 2019: 1-8 - [c111]Md Asif Jalal, Waqas Aftab, Roger K. Moore, Lyudmila Mihaylova:
Dual Stream Spatio-Temporal Motion Fusion With Self-Attention For Action Recognition. FUSION 2019: 1-7 - [c110]Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore:
An End-to-End Deep Neural Network for Facial Emotion Classification. FUSION 2019: 1-7 - [c109]Xi Li, Yi Liu, Lyudmila Mihaylova, Le Yang, Steve Weddell, Fucheng Guo:
Enhanced Multiple Model GPB2 Filtering Using Variational Inference. FUSION 2019: 1-9 - [c108]Fodio S. Longman, Lyudmila Mihaylova, Le Yang, Konstantinos N. Topouzelis:
Multi-Band Image Fusion Using Gaussian Process Regression with Sparse Rational Quadratic Kernel. FUSION 2019: 1-8 - [c107]Adrian L. Ashley, Mahnaz Arvaneh, Lyudmila S. Mihaylova:
A Novel Three Dimensional Probability-based Classifier for Improving Motor Imagery-based BCI. ICASSP 2019: 1150-1153 - [c106]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Bayesian Neural Networks for Sparse Coding. ICASSP 2019: 2992-2996 - [c105]Joshua Giles, Kai Keng Ang, Lyudmila S. Mihaylova, Mahnaz Arvaneh:
A Subject-to-subject Transfer Learning Framework Based on Jensen-Shannon Divergence for Improving Brain-computer Interface. ICASSP 2019: 3087-3091 - [c104]Ahmed M. Azab, Lyudmila Mihaylova, Hamed Ahmadi, Mahnaz Arvaneh:
Robust Common Spatial Patterns Estimation Using Dynamic Time Warping to Improve BCI Systems. ICASSP 2019: 3897-3901 - [c103]Mingming Bai, Yulong Huang, Yonggang Zhang, Lyudmila Mihaylova, Jonathon A. Chambers:
A Novel Progressive Gaussian Approximate Filter with Variable Step Size Based on a Variational Bayesian Approach. ICASSP 2019: 5202-5206 - [c102]Youngjoo Kim, Peng Wang, Lyudmila Mihaylova:
Structural Recurrent Neural Network for Traffic Speed Prediction. ICASSP 2019: 5207-5211 - [c101]Richard N. M. Rudd-Orthner, Lyudmila Mihaylova:
An Algebraic Expert System with Neural Network Concepts for Cyber, Big Data and Data Migration. ISSPIT 2019: 1-6 - [c100]Mahed Javed, Lyudmila Mihaylova:
Leveraging Uncertainty in Adversarial Learning to Improve Deep Learning Based Segmentation. SDF 2019: 1-8 - [c99]Kennedy J. Offor, Peng Wang, Lyudmila Mihaylova:
Multi-Model Bayesian Kriging for Urban Traffic State Prediction. SDF 2019: 1-6 - [c98]Peng Wang, Yueda Lin, Ree Muroiwa, Simon Pike, Lyudmila Mihaylova:
Computer Vision Methods for Automating High Temperature Steel Section Sizing in Thermal Images. SDF 2019: 1-6 - 2018
- [c97]Joshua Giles, Kai Keng Ang, Lyudmila Mihaylova, Mahnaz Arvaneh:
Data Space Adaptation for Multiclass Motor Imagery-based BCI. EMBC 2018: 2004-2007 - [c96]Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova:
A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes. FUSION 2018: 1-8 - [c95]Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova:
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. FUSION 2018: 39-46 - [c94]Oussama Laib, Mohamed Tarek Khadir, Lyudmila Mihaylova:
A Gaussian Process Regression for Natural Gas Consumption Prediction Based on Time Series Data. FUSION 2018: 55-61 - [c93]Fodio S. Longman, Lyudmila Mihaylova, Le Yang:
A Gaussian Process Regression Approach for Fusion of Remote Sensing Images for Oil Spill Segmentation. FUSION 2018: 62-69 - [c92]Syed Safwan Khalid, Naveed ur Rehman, Shafayat Abrar, Lyudmila Mihaylova:
Robust Bayesian Filtering Using Bayesian Model Averaging and Restricted Variational Bayes. FUSION 2018: 361-368 - [c91]Yulong Huang, Yonggang Zhang, Yuxin Zhao, Lyudmila Mihaylova, Jonathon A. Chambers:
A Novel Robust Rauch-Tung-Striebel Smoother Based on Slash and Generalized Hyperbolic Skew Student's T-Distributions. FUSION 2018: 369-376 - [c90]Ruilong Chen, Md Asif Jalal, Lyudmila Mihaylova, Roger K. Moore:
Learning Capsules for Vehicle Logo Recognition. FUSION 2018: 565-572 - [c89]Md Asif Jalal, Ruilong Chen, Roger K. Moore, Lyudmila Mihaylova:
American Sign Language Posture Understanding with Deep Neural Networks. FUSION 2018: 573-579 - [c88]Kennedy J. Offor, Matthew B. Hawes, Lyudmila Mihaylova:
Short Term Traffic Flow Prediction with Particle Methods in the Presence of Sparse Data. FUSION 2018: 1185-1192 - [c87]Yuxin Zhao, Chao Liu, Lyudmila S. Mihaylova, Fredrik Gunnarsson:
Gaussian Processes for RSS Fingerprints Construction in Indoor Localization. FUSION 2018: 1377-1384 - [c86]Xi Li, Le Yang, Lyudmila Mihaylova, Fucheng Guo, Min Zhang:
Enhanced GMM-Based Filtering with Measurement Update Ordering and Innovation-Based Pruning. FUSION 2018: 2572-2579 - [c85]Hayder M. Amer, Hayder A. A. Al-Kashoash, Andrew H. Kemp, Lyudmila Mihaylova, Martin Mayfield:
Coalition Game for Emergency Vehicles Re-Routing in Smart Cities. SAM 2018: 306-310 - [c84]Youngjoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova:
A Capsule Network for Traffic Speed Prediction in Complex Road Networks. SDF 2018: 1-6 - [c83]Peng Wang, Youngjoo Kim, Lubos Vaci, Haoze Yang, Lyudmila Mihaylova:
Short-Term Traffic Prediction with Vicinity Gaussian Process in the Presence of Missing Data. SDF 2018: 1-6 - [c82]Mahnaz Arvaneh, Lyudmila Mihaylova, Ahmed M. Azab:
Weighted Multi-task Learning in Classification Domain for Improving Brain-Computer Interface. SMC 2018: 1093-1098 - 2017
- [c81]Ahmed M. Azab, Mahanz Arvanch, Lyudmila S. Mihaylova:
Estimation of joint angle based on surface electromyogram signals recorded at different load levels. EMBC 2017: 2538-2541 - [c80]Ruilong Chen, Matthew B. Hawes, Olga Isupova, Lyudmila Mihaylova, Hao Zhu:
Online vehicle logo recognition using Cauchy prior logistic regression. FUSION 2017: 1-8 - [c79]Allan De Freitas, Carsten Fritsche, Lyudmila Mihaylova, Fredrik Gunnarsson:
A novel measurement processing approach to the parallel expectation propagation unscented Kalman filter. FUSION 2017: 1-6 - [c78]Matthew B. Hawes, Hayder M. Amer, Lyudmila Mihaylova:
Traffic state estimation via a particle filter over a reduced measurement space. FUSION 2017: 1-8 - [c77]Carlos Moreno Leon, Lyudmila S. Mihaylova, Hans Driessen:
Tracking of interacting targets. FUSION 2017: 1-8 - [c76]Chao Liu, Le Yang, Lyudmila Mihaylova:
Dual-satellite source geolocation with time and frequency offsets and satellite location errors. FUSION 2017: 1-8 - [c75]Waqas Aftab, Allan De Freitas, Mahnaz Arvaneh, Lyudmila Mihaylova:
A Gaussian process approach for extended object tracking with random shapes and for dealing with intractable likelihoods. DSP 2017: 1-5 - [c74]Maria Luisa Davila Garcia, Daniel A. Paredes Soto, Lyudmila S. Mihaylova:
A Bag of Features Based Approach for Classification of Motile Sperm Cells. iThings/GreenCom/CPSCom/SmartData 2017: 104-109 - [c73]Hayder M. Amer, Christos Tsotskas, Matthew B. Hawes, Patrizia Franco, Lyudmila Mihaylova:
A game theory approach for congestion control in vehicular ad hoc networks. SDF 2017: 1-6 - [c72]James A. Douthwaite, Allan De Freitas, Lyudmila S. Mihaylova:
An interval approach to multiple unmanned aerial vehicle collision avoidance. SDF 2017: 1-8 - [c71]Muhammad Altamash Khan, Allan De Freitas, Lyudmila Mihaylova, Martin Ulmke, Wolfgang Koch:
Bayesian processing of big data using log homotopy based particle flow filters. SDF 2017: 1-6 - 2016
- [c70]Allan De Freitas, Lyudmila Mihaylova:
Dealing with massive data with a distributed expectation propagation particle filter for object tracking. FUSION 2016: 457-463 - [c69]Matthew B. Hawes, Hayder M. Amer, Lyudmila Mihaylova:
Traffic state estimation via a particle filter with compressive sensing and historical traffic data. FUSION 2016: 735-742 - [c68]Olga Isupova, Danil Kuzin, Lyudmila Mihaylova:
Dynamic Hierarchical Dirichlet Process for abnormal behaviour detection in video. FUSION 2016: 750-757 - [c67]Ruilong Chen, Matthew B. Hawes, Lyudmila Mihaylova, Jingjing Xiao, Wei Liu:
Vehicle logo recognition by spatial-SIFT combined with logistic regression. FUSION 2016: 1228-1235 - [c66]Zhenglin Li, Olga Isupova, Lyudmila Mihaylova, Lucile Rossi:
Autonomous flame detection in video based on saliency analysis and optical flow. MFI 2016: 218-223 - [c65]James A. Douthwaite, Lyudmila S. Mihaylova, Sandor M. Veres:
Enhancing Autonomy in VTOL Aircraft Based on Symbolic Computation Algorithms. TAROS 2016: 99-110 - 2015
- [c64]Bradley Ebinger, Nidhal Bouaynaya, Petia Georgieva, Lyudmila Mihaylova:
EEG dynamic source localization using Marginalized Particle Filtering. BIBM 2015: 454-457 - [c63]Muhammad Waqas Khan, Andrew H. Kemp, Naveed Salman, Lyudmila Mihaylova:
Tracking of wireless mobile nodes in he presence of unknown path-loss characteristics. FUSION 2015: 104-111 - [c62]Olga Isupova, Lyudmila Mihaylova, Danil Kuzin, Garik Markarian, François Septier:
An expectation maximisation algorithm for behaviour analysis in video. FUSION 2015: 126-133 - [c61]Allan De Freitas, François Septier, Lyudmila Mihaylova, Simon J. Godsill:
How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking? FUSION 2015: 134-141 - [c60]Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill:
A Bayesian compressed sensing Kalman filter for direction of arrival estimation. FUSION 2015: 969-975 - [c59]Roland Lamberti, François Septier, Naveed Salman, Lyudmila Mihaylova:
Sequential Markov Chain Monte Carlo for multi-target tracking with correlated RSS measurements. ISSNIP 2015: 1-6 - [c58]Aroland Kiring, Naveed Salman, Chao Liu, Inaki Esnaola, Lyudmila Mihaylova:
A shrinkage-based particle filter for tracking with correlated measurements. SDF 2015: 1-6 - [c57]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Compressive sensing approaches for autonomous object detection in video sequences. SDF 2015: 1-6 - [c56]Chao Liu, Aroland Kiring, Naveed Salman, Lyudmila Mihaylova, Inaki Esnaola:
A Kriging algorithm for location fingerprinting based on received signal strength. SDF 2015: 1-6 - [c55]Lore E. M. Van Raemdonck, Ata ur-Rehman, Maria Luisa Davila Garcia, Lyudmila Mihaylova, Robert F. Harrison, Allan Pacey:
An algorithm for Morphological classification of motile human sperm. SDF 2015: 1-6 - 2014
- [c54]Arshad Ali, X. Costas, Lyudmila Mihaylova, Bamidele Adebisi, Augustine Ikpehai:
Kriging interpolation based sensor node position management in dynamic environment. CSNDSP 2014: 293-297 - [c53]Hiba Haj Chhadé, Fahed Abdallah, Imad Mougharbel, Amadou Gning, Lyudmila Mihaylova, Simon Julier:
Multiple land mines localization using a wireless sensor network. FUSION 2014: 1-7 - [c52]Nikolay Petrov, Lyudmila Mihaylova, Allan De Freitas, Amadou Gning:
Crowd tracking with box particle filtering. FUSION 2014: 1-7 - [c51]Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers:
Multi-target tracking by using particle filtering and a social force model. FUSION 2014: 1-6 - [c50]Petia Georgieva, Filipe Miguel Teixeira Pereira da Silva, Lyudmila Mihaylova, Nidhal Bouaynaya:
Statistical approach for reconstruction of dynamic brain dipoles based on EEG data. IJCNN 2014: 2592-2599 - 2013
- [c49]Donka S. Angelova, Lyudmila Mihaylova, Nikolay Petrov, Amadou Gning:
A convolution particle filtering approach for tracking elliptical extended objects. FUSION 2013: 1542-1549 - [c48]Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers:
Clustering and a joint probabilistic data association filter for dealing with occlusions in multi-target tracking. FUSION 2013: 1730-1735 - [c47]Amadou Gning, Simon Julier, Lyudmila Mihaylova:
Non-linear state estimation using imprecise samples. FUSION 2013: 2110-2116 - [c46]Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers:
Variational Bayesian and belief propagation based data association for multi-target tracking. ICASSP 2013: 1759-1763 - [c45]Petia Georgieva, Nidhal Bouaynaya, Lyudmila Mihaylova, Filipe Miguel Teixeira Pereira da Silva:
Bayesian Approach for Reconstruction of Moving Brain Dipoles. ICIAR 2013: 565-572 - [c44]Rhian Davies, Lyudmila Mihaylova, Nicos G. Pavlidis, Idris A. Eckley:
The effect of recovery algorithms on compressive sensing background subtraction. SDF 2013: 1-6 - 2012
- [c43]Nikolay Petrov, Amadou Gning, Lyudmila Mihaylova, Donka S. Angelova:
Box Particle Filtering for extended object tracking. FUSION 2012: 82-89 - [c42]Marek Schikora, Amadou Gning, Lyudmila Mihaylova, Daniel Cremers, Wolfgang Koch:
Box-particle PHD filter for multi-target tracking. FUSION 2012: 106-113 - [c41]Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova, Dave Vorley:
Bearings-only tracking with particle filtering for joint parameter learning and state estimation. FUSION 2012: 824-831 - [c40]Mahendra Mallick, Mark R. Morelande, Lyudmila Mihaylova:
Continuous-discrete filtering using EKF, UKF, and PF. FUSION 2012: 1087-1094 - [c39]Mahendra Mallick, Mark R. Morelande, Lyudmila Mihaylova, Sanjeev Arulampalam, Yanjun Yan:
Comparison of angle-only filtering algorithms in 3D using Cartesian and modified spherical coordinates. FUSION 2012: 1392-1399 - [c38]Avishy Carmi, Lyudmila Mihaylova, Dimitri Kanevsky:
Unscented compressed sensing. ICASSP 2012: 5249-5252 - [c37]Kirill Bushminkin, Lyudmila Mihaylova, Denis Kolev, Vikhoreva Alexandra, Denis Rodionov:
A novel approach to estimating current and future states of technical systems. ICNC 2012: 512-516 - [c36]Petia Georgieva, Lyudmila Mihaylova, Nidhal Bouaynaya, Lakhmi C. Jain:
Particle filters and beamforming for EEG source estimation. IJCNN 2012: 1-8 - [c35]Donka S. Angelova, Lyudmila Mihaylova, Nikolay Petrov, Amadou Gning:
Extended object tracking with convolution particle filtering. IEEE Conf. of Intelligent Systems 2012: 96-101 - [c34]Nikolay Petrov, Martin Ulmke, Lyudmila Mihaylova, Amadou Gning, Marek Schikora, Monika Wieneke, Wolfgang Koch:
On the performance of the Box Particle Filter for extended object tracking using laser data. SDF 2012: 19-24 - [c33]Matthieu Canaud, Lyudmila Mihaylova, Nour-Eddin El Faouzi, Romain Billot, Jacques Sau:
A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter. SDF 2012: 31-36 - 2011
- [c32]Amadou Gning, Branko Ristic, Lyudmila Mihaylova:
A box particle filter for stochastic and set-theoretic measurements with association uncertainty. FUSION 2011: 1-8 - [c31]Mahendra Mallick, Sanjeev Arulampalam, Lyudmila Mihaylova, Yanjun Yan:
Angle-only filtering in 3D using modified spherical and log spherical coordinates. FUSION 2011: 1-8 - [c30]Nikolay Petrov, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova:
A novel Sequential Monte Carlo approach for extended object tracking based on border parameterisation. FUSION 2011: 1-8 - [c29]Branko Ristic, Amadou Gning, Lyudmila Mihaylova:
Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty. FUSION 2011: 1-8 - [c28]Anna Zvikhachevskaya, Vassil Gourov, Lyudmila Mihaylova, Azmi Awang:
Md isa enhanced positioning techniques for hybrid wireless networks. GI-Jahrestagung 2011: 483 - [c27]Arshad Ali, Costas Xydeas, Lyudmila Mihaylova, El Hadji Amadou Gning:
Information driven approach for sensor positioning in wireless sensor networks. GI-Jahrestagung 2011: 484 - [c26]Nikolay Petrov, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova:
A sequential Monte Carlo approach for extended object tracking in the presence of clutter. GI-Jahrestagung 2011: 494 - [c25]Artur Loza, Fanglin Wang, Jie Yang, Lyudmila Mihaylova:
Video object tracking with differential Structural SIMilarity index. ICASSP 2011: 1405-1408 - [c24]Lyudmila Mihaylova, Avishy Carmi:
Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking. ICASSP 2011: 5932-5935 - [c23]Avishy Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill:
MCMC-based tracking and identification of leaders in groups. ICCV Workshops 2011: 112-119 - 2010
- [c22]Harish Bhaskar, Lyudmila Mihaylova:
Combined feature-level video indexing using block-based motion estimation. FUSION 2010: 1-8 - [c21]Amadou Gning, Lyudmila Mihaylova, Fahed Abdallah:
Mixture of uniform probability density functions for non linear state estimation using interval analysis. FUSION 2010: 1-8 - [c20]Lyudmila Mihaylova, Donka S. Angelova:
Noise parameters estimation with Gibbs sampling for localisation of mobile nodes in wireless networks. FUSION 2010: 1-8 - [c19]Alexander Watson, Lyudmila Mihaylova, Dave Vorley:
Bearings Only Versus Bearings and Extent Tracking for Missile Guidance Systems Utilising Particle Methods. GI Jahrestagung (2) 2010: 907-912 - 2009
- [c18]Donka S. Angelova, Lyudmila Mihaylova:
Contour extraction from ultrasound images viewed as a tracking problem. FUSION 2009: 284-291 - [c17]Amadou Gning, Lyudmila Mihaylova:
Dynamic clustering and belief propagation for distributed inference in random sensor networks with deficient links. FUSION 2009: 656-663 - [c16]Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov, René K. Boel:
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation. GI Jahrestagung 2009: 2321-2333 - [c15]Anna Zvikhachevskaya, Garik Markarian, Lyudmila Mihaylova:
Quality of service consideration for the wireless telemedicine and e-health services. WCNC 2009: 3064-3069 - 2008
- [c14]Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill:
Ground target group structure and state estimation with particle filtering. FUSION 2008: 1-8 - [c13]Andrew M. Payne, Harish Bhaskar, Lyudmila Mihaylova:
Multi-resolution learning vector quantisation based automatic colour clustering. FUSION 2008: 1-6 - 2007
- [c12]Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell:
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection. GI Jahrestagung (2) 2007: 130-134 - 2006
- [c11]Artur Loza, Lyudmila Mihaylova, Nishan Canagarajah, David R. Bull:
Structural Similarity-Based Object Tracking in Video Sequences. FUSION 2006: 1-6 - [c10]Lyudmila Mihaylova, Donka S. Angelova, Cedric Nishan Canagarajah, David R. Bull:
Algorithms for Mobile Nodes Self-Localisation in Wireless Ad Hoc Networks. FUSION 2006: 1-7 - [c9]Lyudmila Mihaylova, Artur Loza, Stavri G. Nikolov, John Joseph Lewis, Eduardo Fernández Canga, Jian Li, Timothy D. Dixon, Cedric Nishan Canagarajah, David R. Bull:
The Influence of Multi-Sensor Video Fusion on Object Tracking Using a Particle Filter. GI Jahrestagung (1) 2006: 354-358 - [c8]Donka S. Angelova, Lyudmila Mihaylova:
A Monte Carlo Algorithm for State and Parameter Estimation of Extended Targets. International Conference on Computational Science (3) 2006: 624-631 - [c7]Donka S. Angelova, Lyudmila Mihaylova:
Extended Object Tracking Using Mixture Kalman Filtering. Numerical Methods and Applications 2006: 122-130 - 2005
- [c6]Paul A. Brasnett, Lyudmila Mihaylova, Nishan Canagarajah, David R. Bull:
Particle filtering with multiple cues for object tracking in video sequences. Electronic Imaging: Image and Video Communications and Processing 2005 - 2004
- [c5]Lyudmila Mihaylova, René K. Boel:
A particle filter for freeway traffic estimation. CDC 2004: 2106-2111 - [c4]Donka S. Angelova, Lyudmila Mihaylova, Tzvetan Semerdjiev:
Monte Carlo Algorithm for Maneuvering Target Tracking and Classification. International Conference on Computational Science 2004: 531-539 - 2003
- [c3]Lyudmila Mihaylova, René K. Boel:
Hybrid stochastic framework for freeway traffic flow modelling. ISICT 2003: 372-377 - 2002
- [c2]Lyudmila Mihaylova, Joris De Schutter, Herman Bruyninckx:
A multisine approach for trajectory optimization based on information gain. IROS 2002: 661-666 - [c1]Lyudmila Mihaylova, Tine Lefebvre, Herman Bruyninckx, Klaas Gadeyne, Joris De Schutter:
A Comparison of Decision Making Criteria and Optimization Methods for Active Robotic Sensing. Numerical Methods and Application 2002: 316-324
Parts in Books or Collections
- 2013
- [p1]Avishy Y. Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill:
Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods. Modeling, Simulation and Visual Analysis of Crowds 2013: 325-346
Editorship
- 2024
- [e1]George Panoutsos, Mahdi Mahfouf, Lyudmila S. Mihaylova:
Advances in Computational Intelligence Systems - Contributions Presented at the 21st UK Workshop on Computational Intelligence, UKCI 2022, September 7-9, 2022, Sheffield, UK. Advances in Intelligent Systems and Computing 1454, Springer 2024, ISBN 978-3-031-55567-1 [contents]
Reference Works
- 2012
- [r1]Lawrence A. Klein, Lyudmila Mihaylova, Nour-Eddin El Faouzi:
Sensor and Data Fusion. Handbook of Soft Computing for Video Surveillance 2012: 139-183
Data and Artifacts
- 2023
- [d2]Rui Zhang, Rob Worley, Sarah Edwards, Jonathan M. Aitken, Sean R. Anderson, Lyudmila Mihaylova:
Video Data for Robot Localisation within Pipe Networks. IEEE DataPort, 2023
- [d1]Rui Zhang, Rob Worley, Sarah Edwards, Jonathan M. Aitken, Sean R. Anderson, Lyudmila Mihaylova:
Video Data for Robot Localisation within Pipe Networks. IEEE DataPort, 2023
Informal and Other Publications
- 2023
- [i17]Tianhao Zhang, Shenglin Wang, Nidhal Bouaynaya, Radu Calinescu, Lyudmila Mihaylova:
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation. CoRR abs/2310.19119 (2023) - 2022
- [i16]Chuhao Qin, Fethi Candan, Lyudmila S. Mihaylova, Evangelos Pournaras:
3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for Distributed Sensing. CoRR abs/2208.05914 (2022) - 2021
- [i15]Youngjoo Kim, Peng Wang, Lyudmila Mihaylova:
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction. CoRR abs/2103.02578 (2021) - [i14]Giuseppina Carannante, Dimah Dera, Ghulam Rasool, Nidhal C. Bouaynaya, Lyudmila Mihaylova:
Robust Learning via Ensemble Density Propagation in Deep Neural Networks. CoRR abs/2111.05953 (2021) - 2019
- [i13]Youngjoo Kim, Peng Wang, Lyudmila Mihaylova:
Structural Recurrent Neural Network for Traffic Speed Prediction. CoRR abs/1902.06506 (2019) - [i12]Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova:
Variational Bayesian inference of hidden stochastic processes with unknown parameters. CoRR abs/1911.00757 (2019) - 2018
- [i11]Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova:
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning. CoRR abs/1807.03369 (2018) - [i10]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors. CoRR abs/1807.05561 (2018) - [i9]Youngjoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova:
A Capsule Network for Traffic Speed Prediction in Complex Road Networks. CoRR abs/1807.10603 (2018) - [i8]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Uncertainty propagation in neural networks for sparse coding. CoRR abs/1811.12465 (2018) - 2017
- [i7]Matthew B. Hawes, Lyudmila Mihaylova, Wei Liu:
Location and Orientation Optimisation for Spatially Stretched Tripole Arrays Based on Compressive Sensing. CoRR abs/1702.00248 (2017) - [i6]Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill:
Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects. CoRR abs/1702.03950 (2017) - [i5]Danil Kuzin, Olga Isupova, Lyudmila Mihaylova:
Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences. CoRR abs/1705.00002 (2017) - 2016
- [i4]Matthew B. Hawes, Wei Liu, Lyudmila Mihaylova:
Compressive Sensing Based Design of Sparse Tripole Arrays. CoRR abs/1603.08817 (2016) - 2015
- [i3]Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill:
A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation. CoRR abs/1509.06290 (2015) - [i2]Ata ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon A. Chambers:
Multi-Target Tracking and Occlusion Handling with Learned Variational Bayesian Clusters and a Social Force Model. CoRR abs/1511.01726 (2015) - 2007
- [i1]Vitaliy Kurlin, Lyudmila Mihaylova, Simon Maskell:
How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability? CoRR abs/0710.1001 (2007)
Coauthor Index
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-09-07 02:03 CEST by the dblp team
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