Search results
- 1.0484891 - ÚI 2018 GB eng J - Journal Article
Štepánová, K. - Vavrečka, Michal
Estimating number of components in Gaussian mixture model using combination of greedy and merging algorithm.
Pattern Analysis and Applications. Roč. 21, č. 1 (2018), s. 181-192. ISSN 1433-7541. E-ISSN 1433-755X
Keywords : Clustering * EM algorithm * Gaussian mixture model * Mixture model * Number of clusters
Impact factor: 1.410, year: 2018
Permanent Link: http://hdl.handle.net/11104/0280014 - 2.0471592 - ÚTIA 2018 RIV DE eng C - Conference Paper (international conference)
Haindl, Michal - Havlíček, Vojtěch
Two Compound Random Field Texture Models.
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016. Cham: Springer International Publishing, 2017 - (Beltran-Castanon, C.; Nystrom, I.; Famili, F.), s. 44-51. Lecture Notes in Computer Science, 10125. ISBN 978-3-319-52276-0.
[CIARP 2016 - 21st Iberoamerican Congress 2016. Lima (PE), 08.11.2016-11.11.2016]
R&D Projects: GA ČR(CZ) GA14-10911S
Institutional support: RVO:67985556
Keywords : Texture * texture synthesis * compound random field model * CAR model * two-dimensional Bernoulli mixture * two-dimensional Gaussian mixture * bidirectional texture function
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2017/RO/haindl-0471592.pdf
Permanent Link: http://hdl.handle.net/11104/0271351 - 3.0467541 - ÚTIA 2017 RIV US eng C - Conference Paper (international conference)
Haindl, Michal - Havlíček, Vojtěch
Three-dimensional Gaussian Mixture Texture Model.
Proceedings of the 23rd International Conference on Pattern Recognition (ICPR). Piscataway: IEEE, 2016, s. 2026-2031, č. článku 1003. ISBN 978-1-5090-4846-5.
[23rd International Conference on Pattern Recognition ICPR 2016. Cancún (MX), 04.12.2016-08.12.2016]
R&D Projects: GA ČR(CZ) GA14-10911S
Institutional support: RVO:67985556
Keywords : bidirectional texture function * Gaussian mixture model * texture modeling
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2016/RO/haindl-0467541.pdf
Permanent Link: http://hdl.handle.net/11104/0266451 - 4.0446068 - ÚTIA 2016 RIV US eng C - Conference Paper (international conference)
Haindl, Michal - Havlíček, Vojtěch
Color Texture Restoration.
IEEE 7th International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM). 445 Hoes Lane, Piscataway, NJ 08854, USA: IEEE, 2015, s. 13-18. ISBN 978-1-4673-7337-1.
[7th IEEE International Conferences on Cybernetics and Intelligent Systems (CIS), and Robotics, Automation and Mechatronics (RAM). Siem Reap (KH), 17.07.2015-17.07.2015]
R&D Projects: GA ČR(CZ) GA14-10911S
Institutional support: RVO:67985556
Keywords : Texture restoration * Gaussian mixture model
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2015/RO/haindl-0446068.pdf
Permanent Link: http://hdl.handle.net/11104/0248313 - 5.0444754 - ÚTIA 2016 RIV GB eng C - Conference Paper (international conference)
Ettler, P. - Puchr, I. - Jirsa, Ladislav - Pavelková, Lenka
Probabilistic Inspection of Multimodally Distributed Signals.
The 12th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2015/MFPT 2015). Oxford, UK: The British Institute of Non-Destructive Testing, 2015. ISBN 978-1-5108-0712-9.
[The 12th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2015/MFPT 2015). Oxford (GB), 09.06.2015-11.06.2015]
R&D Projects: GA MŠMT 7D12004
Institutional support: RVO:67985556
Keywords : condition monitoring * probabilistic logic * binomial opinion * multimodally distributed signal * Gaussian mixture
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2015/AS/jirsa-0444754.pdf
Permanent Link: http://hdl.handle.net/11104/0247505 - 6.0436580 - ÚPT 2015 RIV DE eng C - Conference Paper (international conference)
Dvořák, P. - Bartušek, Karel - Mikulka, J.
Tissue Segmentation of Brain MRI.
37th International Conference on Telecommunications and Signal Processing (TSP 2014). Berlin: IEEE, 2014, s. 482-485. ISBN 978-80-214-4983-1. ISSN 1805-5435.
[TSP 2014. International Conference on Telecommunications and Signal Processing /37./. Berlín (DE), 01.07.2014-03.07.2014]
R&D Projects: GA ČR GAP102/12/1104
Institutional support: RVO:68081731
Keywords : Brain * Gaussian Mixture Model * GMM * Image segmentation * Magnetic Resonance
Subject RIV: BH - Optics, Masers, Lasers
Permanent Link: http://hdl.handle.net/11104/0240299 - 7.0431247 - ÚTIA 2015 RIV PT eng C - Conference Paper (international conference)
Jirsa, Ladislav - Pavelková, Lenka
Testing of Sensor Condition Using Gaussian Mixture Model.
Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics. Portugal: SCITEPRESS – Science and Technology Publications, 2014 - (Filipe, J.; Gusikhin, O.; Madani, K.; Sasiadek, J.), s. 550-558. ISBN 978-989-758-039-0.
[11th International Conference on Informatics in Control, Automation and Robotics - ICINCO 2014. Vien (AT), 01.09.2014-03.09.2014]
R&D Projects: GA MŠMT 7D12004
Institutional support: RVO:67985556
Keywords : Sensor Faults * Bayesian Statistics * Gaussian Mixture
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2014/AS/jirsa-0431247.pdf
Permanent Link: http://hdl.handle.net/11104/0236083 - 8.0411484 - UTIA-B 20050214 SI eng A - Abstract
Tesař, Ludvík - Smutek, D.
Ultrasonography diagnostics using Gaussian mixture model.
Ljubljana: Josef Stefan Institute, 2005. Proceedings of Abstracts of the 6th International PhD Workshop on Systems and Control a Young Generation Viewpoint. s. 94
[International PhD Workshop on Systems and Control a Young Generation Viewpoint /6./. 04.10.2005-08.10.2005, Izola]
R&D Projects: GA MŠMT 1M0572; GA AV ČR 1E101050403; GA AV ČR IAA1075351; GA AV ČR 1ET100750404
Institutional research plan: CEZ:AV0Z10750506
Keywords : pattern recognition * medical image analysis * system identification * Gaussian mixture modeling
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/prace/20050214.pdf
Permanent Link: http://hdl.handle.net/11104/0131564File Download Size Commentary Version Access 0411484.pdf 1 19.5 KB Other open-access - 9.0411476 - UTIA-B 20050206 RIV CA eng C - Conference Paper (international conference)
Tesař, Ludvík - Smutek, D. - Jiskra, J. - Maruna, P.
Learning and diagnostics of lymphocytic thyroiditis based on sonogram images.
[Učení a diagnostika lymfocytické thyroiditis založené na sonografických obrazech.]
Calgary: ACTA Press, 2005. ISBN 0-88986-461-6. In: Proceedings of the Second IASTED International Multi-Conference on Automation, Control, and Information Technology. - (Shokin, Y.; Potaturkin, O.), s. 316-319
[IASTED International Multi-Conference on Cutomation, Control and Information Technology /2./. Novosibirsk (RU), 20.06.2005-24.06.2005]
R&D Projects: GA AV ČR 1ET101050403; GA MŠMT 1M0572
Institutional research plan: CEZ:AV0Z10750506
Keywords : pattern recognition * medical image analysis * Bayesian approach * Gaussian mixture modeling
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/prace/20050206.pdf
Permanent Link: http://hdl.handle.net/11104/0131556 - 10.0410563 - UTIA-B 20010032 RIV AT eng C - Conference Paper (international conference)
Paclík, P. - Novovičová, Jana
Number of components and initialization in Gaussian mixture model for pattern recognition.
Wien: Springer, 2001. ISBN 3-211-83651-9. In: Artificial Neural Nets and Genetic Algorithms. Proceedings. - (Kůrková, J.; Neruda, R.; Kárný, M.; Steele, N.), s. 406-409
[International Conference on Artificial Neural Nets and Genetic Algorithms /5./. Prague (CZ), 22.04.2001-25.04.2001]
R&D Projects: GA MŠMT VS96063; GA AV ČR KSK1075601
Institutional research plan: AV0Z1075907
Keywords : pattern recognition * Gaussian mixture model * kernel density estimate
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0130652