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Variational Bayesian inference of hidden stochastic processes with unknown parameters

Nov 02, 2019
Komlan Atitey, Pavel Loskot, Lyudmila Mihaylova


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Structural Recurrent Neural Network for Traffic Speed Prediction

Feb 18, 2019
Youngjoo Kim, Peng Wang, Lyudmila Mihaylova

* Accepted and revised, to be presented in International Conference on Acoustics, Speech, and Signal Processing (ICASSP) on May 2019 

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Uncertainty propagation in neural networks for sparse coding

Nov 29, 2018
Danil Kuzin, Olga Isupova, Lyudmila Mihaylova

* Presented at the third workshop on Bayesian Deep Learning (NeurIPS 2018) 

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A Capsule Network for Traffic Speed Prediction in Complex Road Networks

Sep 21, 2018
Youngjoo Kim, Peng Wang, Yifei Zhu, Lyudmila Mihaylova

* To be presented in 2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 10 Oct 2018, in Bonn, Germany 

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Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors

Jul 15, 2018
Danil Kuzin, Olga Isupova, Lyudmila Mihaylova


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Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning

Jul 09, 2018
Danil Kuzin, Le Yang, Olga Isupova, Lyudmila Mihaylova

* FUSION 2018 

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Learning Methods for Dynamic Topic Modeling in Automated Behaviour Analysis

Sep 18, 2017
Olga Isupova, Danil Kuzin, Lyudmila Mihaylova

* 15 pages 

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Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences

Apr 27, 2017
Danil Kuzin, Olga Isupova, Lyudmila Mihaylova

* SDF 2015 

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Structured Sparse Modelling with Hierarchical GP

Apr 27, 2017
Danil Kuzin, Olga Isupova, Lyudmila Mihaylova

* SPARS 2017 

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Dynamic Hierarchical Dirichlet Process for Abnormal Behaviour Detection in Video

Jun 27, 2016
Olga Isupova, Danil Kuzin, Lyudmila Mihaylova

* 8 pages, International Conference on Information Fusion 2016 

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Anomaly detection in video with Bayesian nonparametrics

Jun 27, 2016
Olga Isupova, Danil Kuzin, Lyudmila Mihaylova

* 5 pages 

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Multi-Target Tracking and Occlusion Handling with Learned Variational Bayesian Clusters and a Social Force Model

Nov 05, 2015
Ata-ur-Rehman, Syed Mohsen Naqvi, Lyudmila Mihaylova, Jonathon Chambers

* 19 pages, 14 figures 

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A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation

Sep 21, 2015
Matthew Hawes, Lyudmila Mihaylova, Francois Septier, Simon Godsill

* Fusion 2015 paper 

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Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost

Sep 04, 2015
Christopher Nemeth, Paul Fearnhead, Lyudmila Mihaylova

* Accepted to Journal of Computational and Graphical Statistics 

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