متابعة
Simo Särkkä
Simo Särkkä
Professor, Aalto University
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Bayesian filtering and smoothing‏
S Särkkä‏
Cambridge University Press, 2013‏
3161*2013
Recursive noise adaptive Kalman filtering by variational Bayesian approximations‏
S Sarkka, A Nummenmaa‏
IEEE Transactions on Automatic control 54 (3), 596-600, 2009‏
7432009
On unscented Kalman filtering for state estimation of continuous-time nonlinear systems‏
S Sarkka‏
IEEE Transactions on automatic control 52 (9), 1631-1641, 2007‏
7302007
Applied stochastic differential equations‏
S Särkkä, A Solin‏
Cambridge University Press, 2019‏
7082019
Rao-Blackwellized particle filter for multiple target tracking‏
S Sarkka, A Vehtari, J Lampinen‏
Information Fusion 8 (1), 2-15, 2007‏
3982007
Unscented rauch--tung--striebel smoother‏
S Särkkä‏
IEEE transactions on automatic control 53 (3), 845-849, 2008‏
3892008
Optimal filtering with Kalman filters and smoothers–a Manual for Matlab toolbox EKF/UKF‏
J Hartikainen, A Solin, S Särkkä‏
Biomedical Engineering, 1-57, 2008‏
357*2008
Kalman filtering and smoothing solutions to temporal Gaussian process regression models‏
J Hartikainen, S Särkkä‏
2010 IEEE international workshop on machine learning for signal processing …, 2010‏
3252010
Spatiotemporal learning via infinite-dimensional Bayesian filtering and smoothing: A look at Gaussian process regression through Kalman filtering‏
S Särkkä, A Solin, J Hartikainen‏
IEEE Signal Processing Magazine 30 (4), 51-61, 2013‏
3032013
Hilbert space methods for reduced-rank Gaussian process regression‏
A Solin, S Särkkä‏
Statistics and Computing 30 (2), 419-446, 2020‏
2842020
A survey of Monte Carlo methods for parameter estimation‏
D Luengo, L Martino, M Bugallo, V Elvira, S Särkkä‏
EURASIP Journal on Advances in Signal Processing 2020, 1-62, 2020‏
2302020
Sensors and AI techniques for situational awareness in autonomous ships: A review‏
S Thombre, Z Zhao, H Ramm-Schmidt, JMV García, T Malkamäki, ...‏
IEEE transactions on intelligent transportation systems 23 (1), 64-83, 2020‏
2282020
Recursive Bayesian inference on stochastic differential equations‏
S Särkkä‏
Dissertation Abstracts International, 2006‏
2202006
Recursive outlier-robust filtering and smoothing for nonlinear systems using the multivariate Student-t distribution‏
R Piché, S Särkkä, J Hartikainen‏
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012‏
1902012
Modeling and interpolation of the ambient magnetic field by Gaussian processes‏
A Solin, M Kok, N Wahlström, TB Schön, S Särkkä‏
IEEE Transactions on robotics 34 (4), 1112-1127, 2018‏
1732018
Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER‏
S Särkkä, A Solin, A Nummenmaa, A Vehtari, T Auranen, S Vanni, FH Lin‏
NeuroImage 60 (2), 1517-1527, 2012‏
1712012
Linear operators and stochastic partial differential equations in Gaussian process regression‏
S Särkkä‏
Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011‏
1612011
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression.‏
TD Barfoot, CH Tong, S Särkkä‏
Robotics: Science and Systems 10, 1-10, 2014‏
1542014
Posterior linearization filter: Principles and implementation using sigma points‏
ÁF García-Fernández, L Svensson, MR Morelande, S Särkkä‏
IEEE transactions on signal processing 63 (20), 5561-5573, 2015‏
1452015
Non-linear noise adaptive Kalman filtering via variational Bayes‏
S Särkkä, J Hartikainen‏
2013 IEEE international workshop on machine learning for signal processing …, 2013‏
1312013
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مقالات 1–20