Tohid Ardeshiri
Tohid Ardeshiri
Postdoctoral Research Associate, University of Cambridge
Verified email at - Homepage
Cited by
Cited by
Robust inference for state-space models with skewed measurement noise
H Nurminen, T Ardeshiri, R Piche, F Gustafsson
IEEE Signal Processing Letters 22 (11), 1898-1902, 2015
Approximate Bayesian smoothing with unknown process and measurement noise covariances
T Ardeshiri, E Özkan, U Orguner, F Gustafsson
IEEE Signal Processing Letters 22 (12), 2450-2454, 2015
Maximum entropy properties of discrete-time first-order stable spline kernel
T Chen, T Ardeshiri, FP Carli, A Chiuso, L Ljung, G Pillonetto
Automatica 66, 34-38, 2016
Skew-t filter and smoother with improved covariance matrix approximation
H Nurminen, T Ardeshiri, R Piché, F Gustafsson
IEEE Transactions on Signal Processing, 2018
A NLOS-robust TOA positioning filter based on a skew-t measurement noise model
H Nurminen, T Ardeshiri, R Piché, F Gustafsson
Indoor Positioning and Indoor Navigation (IPIN), 2015 International …, 2015
Convex optimization approach for time-optimal path tracking of robots with speed dependent constraints
T Ardeshiri, M Norrlöf, J Löfberg, A Hansson
IFAC Proceedings Volumes 44 (1), 14648-14653, 2011
Robust Bayesian Filtering and Smoothing Using Student's t Distribution
M Roth, T Ardeshiri, E Özkan, F Gustafsson
arXiv preprint arXiv:1703.02428, 2017
Greedy reduction algorithms for mixtures of exponential family
T Ardeshiri, K Granström, E Özkan, U Orguner
IEEE Signal Processing Letters 22 (6), 676-680, 2015
Bicycle tracking using ellipse extraction
T Ardeshiri, F Larsson, F Gustafsson, TB Schön, M Felsberg
Information Fusion (FUSION), 2011 Proceedings of the 14th International …, 2011
On mixture reduction for multiple target tracking
T Ardeshiri, U Orguner, C Lundquist, TB Schön
Information Fusion (FUSION), 2012 15th International Conference on, 692-699, 2012
Bayesian inference via approximation of log-likelihood for priors in exponential family
T Ardeshiri, U Orguner, F Gustafsson
arXiv preprint arXiv:1510.01225, 2015
Gaussian mixture reduction using reverse Kullback-Leibler divergence
T Ardeshiri, U Orguner, E Özkan
arXiv preprint arXiv:1508.05514, 2015
An adaptive PHD filter for tracking with unknown sensor characteristics
T Ardeshiri, E Özkan
Information Fusion (FUSION), 2013 16th International Conference on, 1736-1743, 2013
Nonasymptotic Gaussian Approximation for Inference with Stable Noise
M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study
BI Ahmad, T Ardeshiri, P Langdon, SJ Godsill, T Popham
Information Fusion (Fusion), 2017 20th International Conference on, 1-7, 2017
Offset eliminative map matching algorithm for intersection active Safety applications
T Ardeshiri, S Kharrazi, R Thomson, J Bargman
Intelligent Vehicles Symposium, 2006 IEEE, 82-88, 2006
A central limit theorem with application to inference in α-stable regression models
M Riabiz, T Ardeshiri, S Godsill
NIPS 2016 Time Series Workshop, 70-82, 2017
Mean and covariance matrix of a multivariate normal distribution with one doubly-truncated component
H Nurminen, R Rui, T Ardeshiri, A Bazanella, F Gustafsson
Efficient bridging-based destination inference in object tracking
T Ardeshiri, BI Ahmad, PM Langdon, SJ Godsill
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017
Simulated convergence rates with application to an intractable α-stable inference problem
M Riabiz, T Ardeshiri, I Kontoyiannis, S Godsill
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 …, 2017
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