Särkkä, Simo: search on Z-Library

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51

Temporal Parallelization of Bayesian Smoothers

Sarkka, Simo, Garcia-Fernandez, Angel F.

Journal:

IEEE Transactions on Automatic Control

Year:

2020

File:

PDF, 861 KB

2020

52

[IEEE ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Florence, Italy (2014.5.4-2014.5.9)] 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - On the L4 convergence of particle filters with general importance distributions

Mbalawata, Isambi S., Sarkka, Simo

Year:

2014

Language:

english

File:

PDF, 114 KB

english, 2014

53

[IEEE 2018 International Conference on Information Fusion (FUSION) - Cambridge, United Kingdom (2018.7.10-2018.7.13)] 2018 21st International Conference on Information Fusion (FUSION) - Non-Linear Continuous-Discrete Smoothing by Basis Function Expansions of Brownian Motion

Tronarp, Filip, Sarkka, Simo

Year:

2018

Language:

english

File:

PDF, 183 KB

english, 2018

54

Bayesian Filtering and Smoothing || Bayesian inference

Year:

2013

Language:

english

File:

PDF, 123 KB

english, 2013

55

[IEEE 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) - Aalborg (2018.9.17-2018.9.20)] 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) - MIXTURE REPRESENTATION OF THE MATÉRN CLASS WITH APPLICATIONS IN STATE SPACE APPROXIMATIONS AND BAYESIAN QUADRATURE

Tronarp, Filip, Karvonen, Toni, Sarkka, Simo

Year:

2018

Language:

english

File:

PDF, 282 KB

english, 2018

56

Moment conditions for convergence of particle filters with unbounded importance weights

Mbalawata, Isambi S., Särkkä, Simo

Journal:

Signal Processing

Year:

2016

Language:

english

File:

PDF, 551 KB

english, 2016

57

[IEEE ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Barcelona, Spain (2020.5.4-2020.5.8)] ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Levenberg-Marquardt and Line-Search Extended Kalman Smoothers

Sarkka, Simo, Svensson, Lennart

Year:

2020

File:

PDF, 307 KB

2020

58

[IEEE 2014 IEEE 24th International Workshop on Machine Learning for Signal Processing (MLSP) - Reims, France (2014.9.21-2014.9.24)] 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) - The 10th annual MLSP competition: First place

Solin, Arno, Sarkka, Simo

Year:

2014

Language:

english

File:

PDF, 202 KB

english, 2014

59

[IEEE ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - South Brisbane, Queensland, Australia (2015.4.19-2015.4.24)] 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Pedestrian localization in moving platforms using dead reckoning, particle filtering and map matching

Bojja, Jayaprasad, Collin, Jussi, Sarkka, Simo, Takala, Jarmo

Year:

2015

Language:

english

File:

PDF, 569 KB

english, 2015

60

[IEEE 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) - Vietri sul Mare, Salerno, Italy (2016.9.13-2016.9.16)] 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) - On the use of gradient information in Gaussian process quadratures

Pruher, Jakub, Sarkka, Simo

Year:

2016

Language:

english

File:

PDF, 290 KB

english, 2016

61

[IEEE 2018 21st International Conference on Information Fusion (FUSION 2018) - Cambridge (2018.7.10-2018.7.13)] 2018 21st International Conference on Information Fusion (FUSION) - Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering

Hostettler, Roland, Lumikari, Tuomas, Palva, Lauri, Nieminen, Tuomo, Sarkka, Simo

Year:

2018

File:

PDF, 9 KB

2018

62

[IEEE 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) - Waikoloa Village, HI, USA (2019.1.7-2019.1.11)] 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) - Gyroscope-Aided Motion Deblurring with Deep Networks

Mustaniemi, Janne, Kannala, Juho, Sarkka, Simo, Matas, Jiri, Heikkila, Janne

Year:

2019

Language:

english

File:

PDF, 2.80 MB

english, 2019

63

[IEEE 2018 24th International Conference on Pattern Recognition (ICPR) - Beijing (2018.8.20-2018.8.24)] 2018 24th International Conference on Pattern Recognition (ICPR) - Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements

Mustaniemi, Janne, Kannala, Juho, Sarkka, Simo, Matas, Jiri, Heikkila, Janne

Year:

2018

Language:

english

File:

PDF, 2.90 MB

english, 2018

64

[IEEE 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) - Pittsburgh, PA, USA (2019.10.13-2019.10.16)] 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) - Hilbert-Space Reduced-Rank Methods For Deep Gaussian Processes

Emzir, Muhammad F., Lasanen, Sari, Purisha, Zenith, Sarkka, Simo

Year:

2019

File:

PDF, 316 KB

2019

65

Importance Densities for Particle Filtering using Iterated Conditional Expectations

Hostettler, Roland, Tronarp, Filip, Garcia-Fernandez, Angel F., Sarkka, Simo

Journal:

IEEE Signal Processing Letters

Year:

2020

File:

PDF, 761 KB

2020

66

Rao-Blackwellized particle smoothers for conditionally linear Gaussian models

Lindsten, Fredrik, Bunch, Pete, Sarkka, Simo, Schon, Thomas, Godsill, Simon

Journal:

IEEE Journal of Selected Topics in Signal Processing

Year:

2015

Language:

english

File:

PDF, 3.31 MB

english, 2015

67

A Backward-Simulation Based Rao-Blackwellized Particle Smoother for Conditionally Linear Gaussian Models

Särkkä, Simo, Bunch, Pete, Godsill, Simon J.

Journal:

IFAC Proceedings Volumes

Year:

2012

Language:

english

File:

PDF, 241 KB

english, 2012

68

[IEEE 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP) - Tokyo (2017.9.25-2017.9.28)] 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP) - A linear stochastic state space model for electrocardiograms

Suotsalo, Kimmo, Sarkka, Simo

Year:

2017

Language:

english

File:

PDF, 193 KB

english, 2017

69

Statistical analysis of differential equations: introducing probability measures on numerical solutions

Conrad, Patrick R., Girolami, Mark, Särkkä, Simo, Stuart, Andrew, Zygalakis, Konstantinos

Journal:

Statistics and Computing

Year:

2017

Language:

english

File:

PDF, 2.31 MB

english, 2017

70

RSS Models for Respiration Rate Monitoring

Yigitler, Huseyin, Kaltiokallio, Ossi Johannes, Hostettler, Roland, Abrar, Alemayehu Solomon, Jantti, Riku, Patwari, Neal, Sarkka, Simo

Journal:

IEEE Transactions on Mobile Computing

Year:

2019

File:

PDF, 6 KB

2019

71

[IEEE ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Barcelona, Spain (2020.5.4-2020.5.8)] ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations

Zhao, Zheng, Tronarp, Filip, Hostettler, Roland, Sarkka, Simo

Year:

2020

File:

PDF, 1.62 MB

2020

72

Improved Calibration of Numerical Integration Error in Sigma-Point Filters

Pruher, Jakub, Karvonen, Toni, Oates, Christopher James, Straka, Ondrej, Sarkka, Simo

Journal:

IEEE Transactions on Automatic Control

Year:

2020

File:

PDF, 419 KB

2020

73

Machine Learning Methods for Neonatal Mortality and Morbidity Classification

Jaskari, Joel, Myllarinen, Janne, Leskinen, Markus, Rad, Ali Bahrami, Hollmen, Jaakko, Andersson, Sture, Sarkka, Simo

Journal:

Year:

2020

File:

PDF, 1.09 MB

2020

74

[IEEE 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) - Kittila, Finland (2010.08.29-2010.09.1)] 2010 IEEE International Workshop on Machine Learning for Signal Processing - Sigma point methods in optimal smoothing of non-linear stochastic state space models

Sarkka, Simo, Hartikainen, Jouni

Year:

2010

Language:

english

File:

PDF, 124 KB

english, 2010

75

Bayesian Filtering and Smoothing || Particle filtering

Year:

2013

Language:

english

File:

PDF, 297 KB

english, 2013

76

Variational Bayesian Adaptation of Noise Covariances in Multiple Target Tracking Problems

Sadat Hosseini, Soheil, Jamali, Mohsin M., Särkkä, Simo

Journal:

Year:

2018

Language:

english

File:

PDF, 937 KB

english, 2018

77

[IEEE 2018 International Conference on Information Fusion (FUSION) - Cambridge, United Kingdom (2018.7.10-2018.7.13)] 2018 21st International Conference on Information Fusion (FUSION) - Continuous-Discrete von Mises-Fisher Filtering on S 2 for Reference Vector Tracking

Tronarp, Filip, Hostettler, Roland, Sarkka, Simo

Year:

2018

Language:

english

File:

PDF, 1004 KB

english, 2018

78

Symmetry exploits for Bayesian cubature methods

Karvonen, Toni, Särkkä, Simo, Oates, Chris. J.

Journal:

Statistics and Computing

Year:

2019

Language:

english

File:

PDF, 680 KB

english, 2019

79

Modeling the Drift Function in Stochastic Differential Equations using Reduced Rank Gaussian Processes

Hostettler, Roland, Tronarp, Filip, Särkkä, Simo

Journal:

IFAC-PapersOnLine

Year:

2018

Language:

english

File:

PDF, 557 KB

english, 2018

80

Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes

Gao, Rui, Tronarp, Filip, Sarkka, Simo

Journal:

IEEE Signal Processing Letters

Year:

2020

File:

PDF, 447 KB

2020

81

[IEEE 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP) - Tokyo (2017.9.25-2017.9.28)] 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP) - Parallelizable sparse inverse formulation Gaussian processes (SpInGP)

Grigorievskiy, Alexander, Lawrence, Neil, Sarkka, Simo

Year:

2017

Language:

english

File:

PDF, 426 KB

english, 2017

82

Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective

Tronarp, Filip, Kersting, Hans, Särkkä, Simo, Hennig, Philipp

Journal:

Statistics and Computing

Year:

2019

File:

PDF, 1.18 MB

2019

83

Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering

Sarkka, Simo, Solin, Arno, Hartikainen, Jouni

Journal:

IEEE Signal Processing Magazine

Year:

2013

Language:

english

File:

PDF, 2.05 MB

english, 2013

84

[IEEE 2006 IEEE Nonlinear Statistical Signal Processing Workshop - Cambridge, UK (2006.09.13-2006.09.15)] 2006 IEEE Nonlinear Statistical Signal Processing Workshop - On Sequential Monte Carlo Sampling of Discretely Observed Stochastic Differential Equations

Year:

2006

Language:

english

File:

PDF, 1.69 MB

english, 2006

85

Sparse Approximations of Fractional Matérn Fields

Roininen, Lassi, Lasanen, Sari, Orispää, Mikko, Särkkä, Simo

Journal:

Scandinavian Journal of Statistics

Year:

2017

Language:

english

File:

PDF, 1.45 MB

english, 2017

86

[IEEE 2018 IEEE Conference on Decision and Control (CDC) - FL, USA (2018.12.17-2018.12.19)] 2018 IEEE Conference on Decision and Control (CDC) - Bounds on the Covariance Matrix of a Class of Kalman-Bucy Filters for Systems with Non-Linear Dynamics

Karvonen, Toni, Bonnabel, Silvere, Moulines, Eric, Sarkka, Simo

Year:

2018

File:

PDF, 8 KB

2018

87

Iterated Extended Kalman Smoother-based Variable Splitting for $L_1$-Regularized State Estimation

Gao, Rui, Tronarp, Filip, Sarkka, Simo

Journal:

IEEE Transactions on Signal Processing

Year:

2019

Language:

english

File:

PDF, 3.68 MB

english, 2019

88

On the positivity and magnitudes of Bayesian quadrature weights

Karvonen, Toni, Kanagawa, Motonobu, Särkkä, Simo

Journal:

Statistics and Computing

Year:

2019

Language:

english

File:

PDF, 603 KB

english, 2019

89

Cooperative localisation using posterior linearisation belief propagation

Garcia-Fernandez, Angel, Svensson, Lennart, Sarkka, Simo

Journal:

IEEE Transactions on Vehicular Technology

Year:

2017

Language:

english

File:

PDF, 235 KB

english, 2017

90

[IEEE 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) - Waikoloa Village, HI, USA (2019.1.7-2019.1.11)] 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) - Gyroscope-Aided Motion Deblurring with Deep Networks

Mustaniemi, Janne, Kannala, Juho, Sarkka, Simo, Matas, Jiri, Heikkila, Janne

Year:

2019

File:

PDF, 2.80 MB

2019

91

Gaussian Process Classification Using Posterior Linearization

Garcia-Fernandez, Angel F., Tronarp, Filip, Sarkka, Simo

Journal:

IEEE Signal Processing Letters

Year:

2019

Language:

english

File:

PDF, 534 KB

english, 2019

92

On the positivity and magnitudes of Bayesian quadrature weights

Karvonen, Toni, Kanagawa, Motonobu, Särkkä, Simo

Journal:

Statistics and Computing

Year:

2019

File:

PDF, 603 KB

2019

93

[IEEE 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) - Pittsburgh, PA, USA (2019.10.13-2019.10.16)] 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) - Rejection-Sampling-Based Ancestor Sampling for Particle Gibbs

Hostettler, Roland, Sarkka, Simo

Year:

2019

File:

PDF, 248 KB

2019

94

Posterior linearisation filter: principles and implementation using sigma points

Garcia-Fernandez, Angel, Svensson, Lennart, Morelande, Mark, Sarkka, Simo

Journal:

IEEE Transactions on Signal Processing

Year:

2015

Language:

english

File:

PDF, 1.10 MB

english, 2015

95

[IEEE 2017 IEEE Life Sciences Conference (LSC) - Sydney, Australia (2017.12.13-2017.12.15)] 2017 IEEE Life Sciences Conference (LSC) - Prediction of major complications affecting very low birth weight infants

Rinta-Koski, Olli-Pekka, Sarkka, Simo, Hollmen, Jaakko, Leskinen, Markus, Rantakari, Krista, Andersson, Sture

Year:

2017

Language:

english

File:

PDF, 694 KB

english, 2017

96

[IEEE 2017 25th European Signal Processing Conference (EUSIPCO) - Kos, Greece (2017.8.28-2017.9.2)] 2017 25th European Signal Processing Conference (EUSIPCO) - RSS-based respiratory rate monitoring using periodic Gaussian processes and Kalman filtering

Hostettler, Roland, Kaltiokallio, Ossi, Yigitler, Huseyin, Sarkka, Simo, Jantti, Riku

Year:

2017

Language:

english

File:

PDF, 530 KB

english, 2017

97

Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems

Sarkka, Simo, Alvarez, Mauricio A., Lawrence, Neil D.

Journal:

IEEE Transactions on Automatic Control

Year:

2018

Language:

english

File:

PDF, 1.11 MB

english, 2018

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