Search results
- 1.0500888 - ÚTIA 2020 RIV US eng J - Journal Article
Tichý, Ondřej - Bódiová, Lenka - Šmídl, Václav
Bayesian non-negative matrix factorization with adaptive sparsity and smoothness prior.
IEEE Signal Processing Letters. Roč. 26, č. 3 (2019), s. 510-514. ISSN 1070-9908. E-ISSN 1558-2361
R&D Projects: GA ČR GA18-07247S
Institutional support: RVO:67985556
Keywords : Non-negative matrix factorization * Covariance matrix model * Blind source separation * Variational Bayes method * Dynamic renal scintigraphy
OECD category: Automation and control systems
Impact factor: 3.105, year: 2019
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2019/AS/tichy-0500888.pdf https://ieeexplore.ieee.org/document/8633424
Permanent Link: http://hdl.handle.net/11104/0293325 - 2.0480504 - ÚTIA 2019 RIV CH eng C - Conference Paper (international conference)
Bódiová, L. - Tichý, Ondřej - Šmídl, Václav
Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences.
European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2017: VipIMAGE 2017). Vol. 27. Cham: Springer, 2018, s. 52-61. Lecture Notes in Computational Vision and Biomechanics, 27. ISBN 978-3-319-68195-5. ISSN 2212-9391. E-ISSN 2212-9413.
[VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. Porto (PT), 18.10.2017-20.10.2017]
Institutional support: RVO:67985556
Keywords : Dynamic renal scintigraphy * Regions of interest * Blind source separation * Factor analysis * Variational Bayes method
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2017/AS/tichy-0480504.pdf
Permanent Link: http://hdl.handle.net/11104/0276748 - 3.0466029 - ÚTIA 2017 RIV DE eng J - Journal Article
Tichý, Ondřej - Šmídl, Václav - Hofman, Radek - Stohl, A.
LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination.
Geoscientific Model Development. Roč. 9, č. 11 (2016), s. 4297-4311. ISSN 1991-959X. E-ISSN 1991-9603
R&D Projects: GA MŠMT(CZ) 7F14287
Institutional support: RVO:67985556
Keywords : Linear inverse problem * Bayesian regularization * Source-term determination * Variational Bayes method
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 3.458, year: 2016
http://library.utia.cas.cz/separaty/2016/AS/tichy-0466029.pdf
Permanent Link: http://hdl.handle.net/11104/0265404 - 4.0458895 - ÚTIA 2017 RIV DE eng A - Abstract
Tichý, Ondřej - Šmídl, Václav - Hofman, Radek
Bayesian estimation of a source term of radiation release with approximately known nuclide ratios.
Geophysical Research Abstracts. Göttingen: European Geosciences Union, 2016. ISSN 1607-7962.
[EGU General Assembly 2016. 18.04.2016-22.04.2016, Vienna]
R&D Projects: GA MŠMT(CZ) 7F14287
Institutional support: RVO:67985556
Keywords : inverse modeling * Variational Bayes method
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2016/AS/tichy-0458895.pdf
Permanent Link: http://hdl.handle.net/11104/0259705File Download Size Commentary Version Access 0458895.pdf 2 41 KB Author’s postprint open-access - 5.0450509 - ÚTIA 2016 RIV RS eng J - Journal Article
Tichý, Ondřej - Šmídl, Václav
Estimation of Input Function from Dynamic PET Brain Data Using Bayesian Blind Source Separation.
Computer Science and Information Systems. Roč. 12, č. 4 (2015), s. 1273-1287. ISSN 1820-0214. E-ISSN 1820-0214
R&D Projects: GA ČR GA13-29225S
Institutional support: RVO:67985556
Keywords : blind source separation * Variational Bayes method * dynamic PET * input function * deconvolution
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.623, year: 2015
http://library.utia.cas.cz/separaty/2015/AS/tichy-0450509.pdf
Permanent Link: http://hdl.handle.net/11104/0252672 - 6.0447094 - ÚTIA 2016 RIV US eng C - Conference Paper (international conference)
Tichý, Ondřej - Šmídl, Václav
Variational Blind Source Separation Toolbox and its Application to Hyperspectral Image Data.
Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015). Piscataway: IEEE Computer Society, 2015, s. 1336-1340. ISBN 978-0-9928626-4-0. ISSN 2076-1465.
[23rd European Signal Processing Conference (EUSIPCO). Nice (FR), 31.08.2015-04.09.2015]
R&D Projects: GA ČR GA13-29225S
Institutional support: RVO:67985556
Keywords : Blind source separation * Variational Bayes method * Sparse prior * Hyperspectral image
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2015/AS/tichy-0447094.pdf
Permanent Link: http://hdl.handle.net/11104/0249082 - 7.0368318 - ÚTIA 2012 RIV CZ eng C - Conference Paper (international conference)
Šmídl, Václav - Tichý, Ondřej
Variational Bayes in Distributed Fully Probabilistic Decision Making.
The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011). Prague: Institute of Information Theory and Automation, 2011, s. 73-80. ISBN 978-80-903834-6-3.
[The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011). Sierra Nevada (ES), 16.12.2011-16.12.2011]
R&D Projects: GA MŠMT 1M0572; GA TA ČR TA01030603
Institutional research plan: CEZ:AV0Z10750506
Keywords : Fully Probabilistic Design * Variational Bayes method * distributed control
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2011/AS/smidl-variational bayes in distributed fully probabilistic decision making.pdf
Permanent Link: http://hdl.handle.net/11104/0202698