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ORCIDLyudmila Mihaylova
Lyudmila S. Mihaylova
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- affiliation: University of Sheffield, UK
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2020 – today
- 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) - [c151]Yi Liu, Xi Li, Le Yang, Lyudmila Mihaylova, Ji Li:
On the Gaussian Filtering for Nonlinear Dynamic Systems Using Variational Inference. FUSION 2024: 1-8 - [c150]Xingchi Liu, Lyudmila Mihaylova:
Active Sensing for Target Tracking: A Bayesian Optimisation Approach. FUSION 2024: 1-7 - [c149]Chenyi Lyu, Xingchi Liu, James Wright, Jordi Barr, Alasdair Hunter, Lyudmila Mihaylova:
Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup. FUSION 2024: 1-8 - [c148]João António, Lyudmila Mihaylova, Petia Georgieva:
Efficient News Synopsis Generation with T5 Transformers. IS 2024: 1-7 - [c147]Xingyu Liu, Esa Apriaskar, Lyudmila Mihaylova:
Deep Reinforcement Learning Method for Control of Mixed Autonomy Traffic Systems. MFI 2024: 1-6 - [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] - [i20]Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham:
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks. CoRR abs/2409.07652 (2024) - [i19]Tianhao Zhang, Heather J. McCourty, Berardo M. Sanchez-Tafolla, Anton Nikolaev, Lyudmila S. Mihaylova:
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular Morphologies. CoRR abs/2409.17110 (2024) - [i18]Tianhao Zhang, Zhixiang Chen, Lyudmila S. Mihaylova:
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection. CoRR abs/2410.20631 (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) - [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 - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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) - 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) - [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
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [i4]Matthew B. Hawes, Wei Liu, Lyudmila Mihaylova:
Compressive Sensing Based Design of Sparse Tripole Arrays. CoRR abs/1603.08817 (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) - [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 - [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) - 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) - [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
- [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) - [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 - [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 - 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) - [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 - [r1]Lawrence A. Klein, Lyudmila Mihaylova, Nour-Eddin El Faouzi:
Sensor and Data Fusion. Handbook of Soft Computing for Video Surveillance 2012: 139-183 - 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) - [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
- [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) - [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
2000 – 2009
- 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) - [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
- [j7]Donka S. Angelova, Lyudmila Mihaylova:
Extended Object Tracking Using Monte Carlo Methods. IEEE Trans. Signal Process. 56(2): 825-832 (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
- [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) - [c12]Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell:
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection. GI Jahrestagung (2) 2007: 130-134 - [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) - 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) - [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
- [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) - [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
1990 – 1999
- 1996
- [j1]Nikola Madjarov, Lyudmila Mihaylova:
Kalman filter sensitivity with respect to parametric noises uncertainty. Kybernetika 32(3): 307-322 (1996)
Coauthor Index
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