Výsledky vyhledávání
- 1.0572588 - ÚTIA 2024 RIV SI eng J - Článek v odborném periodiku
Salman, I. - Vomlel, Jiří
Learning the Structure of Bayesian Networks from Incomplete Data Using a Mixture Model.
International Journal of Computing and Informatics. Roč. 47, č. 1 (2023), s. 83-96. ISSN 0350-5596
Institucionální podpora: RVO:67985556
Klíčová slova: Bayesian networks * Gaussian mixtures * EM algorithm * incomplete data
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Způsob publikování: Open access
http://library.utia.cas.cz/separaty/2023/MTR/vomlel-0572588.pdf https://www.informatica.si/index.php/informatica/article/view/4497
Trvalý link: https://hdl.handle.net/11104/0343822 - 2.0556464 - ÚTIA 2024 RIV CH eng M - Část monografie knihy
Haindl, Michal
Bidirectional texture function modeling.
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging : Mathematical Imaging and Vision. Cham: Springer International Publishing, 2023 - (Chen, K.; Schonlieb, C.; Tai, X.; Younces, L.), s. 1023-1064. ISBN 978-3-030-98660-5
Grant CEP: GA ČR(CZ) GA19-12340S
Institucionální podpora: RVO:67985556
Klíčová slova: Bidirectional Texture Function * Texture modeling * Markov random fields * Discrete distribution mixtures * EM algorithm
Obor OECD: Robotics and automatic control
http://library.utia.cas.cz/separaty/2022/RO/haindl-0556464.pdf
Trvalý link: http://hdl.handle.net/11104/0330843 - 3.0497831 - ÚTIA 2019 RIV US eng M - Část monografie knihy
Grim, Jiří - Somol, Petr
A Statistical Review of the MNIST Benchmark Data Problem.
Advances in Pattern Recognition Research. New York: Nova Science Publishers, Inc., 2018 - (Lu, T.; Chao, T.), s. 172-193. ISBN 978-1-53614-429-1
Grant CEP: GA ČR GA17-18407S
Institucionální podpora: RVO:67985556
Klíčová slova: MNIST benchmark * multivariate Bernoulli mixtures * EM algorithm
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2018/RO/grim-0497831.pdf
Trvalý link: http://hdl.handle.net/11104/0290648 - 4.0484891 - ÚI 2018 GB eng J - Článek v odborném periodiku
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
Klíčová slova: Clustering * EM algorithm * Gaussian mixture model * Mixture model * Number of clusters
Impakt faktor: 1.410, rok: 2018
Trvalý link: http://hdl.handle.net/11104/0280014 - 5.0475182 - ÚTIA 2018 RIV GB eng J - Článek v odborném periodiku
Grim, Jiří
Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial.
International Journal of Pattern Recognition and Artificial Intelligence. Roč. 31, č. 9 (2017), č. článku 1750028. ISSN 0218-0014. E-ISSN 1793-6381
Grant CEP: GA ČR GA17-18407S
Institucionální podpora: RVO:67985556
Klíčová slova: multivariate statistics * product mixtures * naive Bayes models * EM algorithm * pattern recognition * neural networks * expert systems * image analysis
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impakt faktor: 1.029, rok: 2017
http://library.utia.cas.cz/separaty/2017/RO/grim-0475182.pdf
Trvalý link: http://hdl.handle.net/11104/0272087 - 6.0464681 - ÚTIA 2017 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Grim, Jiří
Feasibility Study of an Interactive Medical Diagnostic Wikipedia.
SPMS 2016 Stochastic and Physical Monitoring Systems. Prague: Czech Technical University, 2016, s. 31-45. ISBN 978-80-01-06040-7.
[SPMS 2016 Stochastic and Physical Monitoring Systems. Prague - Dobřichovice (CZ), 20.06.2016-24.06.2016]
Grant CEP: GA ČR(CZ) GA14-02652S; GA ČR(CZ) GA14-10911S
Institucionální podpora: RVO:67985556
Klíčová slova: Multivariate statistics * Medical diagnostics * Product mixtures * Incomplete data * Sequential classification * EM algorithm
Kód oboru RIV: IN - Informatika
http://library.utia.cas.cz/separaty/2016/RO/grim-0464681.pdf
Trvalý link: http://hdl.handle.net/11104/0263972 - 7.0452538 - ÚTIA 2016 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Grim, Jiří - Pudil, P.
Mixtures of Product Components versus Mixtures of Dependence Trees.
Computational Intelligence. Cham: Springer, 2016, s. 365-382. Studies in Computational Intelligence, 620. ISBN 978-3-319-26393-9.
[IJCCI 2014 - International Joint Conference on Computational Intelligence (Rome/Italy). Rome (IT), 22.10.2014-24.10.2014]
Grant CEP: GA ČR(CZ) GA14-02652S
Grant ostatní: GA ČR(CZ) GAP403/12/1557
Institucionální podpora: RVO:67985556
Klíčová slova: Product mixtures * Mixtures of Dependence Trees * EM algorithm
Kód oboru RIV: BD - Teorie informace
http://library.utia.cas.cz/separaty/2016/RO/grim-0452538.pdf
Trvalý link: http://hdl.handle.net/11104/0257056 - 8.0435901 - ÚTIA 2015 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Grim, Jiří
Approximating Probability Densities by Mixtures of Gaussian Dependence Trees.
Stochastic and Physical Monitoring Systems, SPMS 2014. Praha: ČVUT, 2014. ISBN 978-80-01-05616-5.
[Stochastic and Physical Monitoring Systems SPMS 2014. Malá Skála (CZ), 23.06.2014-28.06.2014]
Grant CEP: GA ČR(CZ) GA14-02652S; GA ČR(CZ) GA14-10911S
Institucionální podpora: RVO:67985556
Klíčová slova: Multivariate statistics * Mixtures of dependence trees * EM algorithm * Pattern recognition * Medical image analysis
Kód oboru RIV: IN - Informatika
http://library.utia.cas.cz/separaty/2014/RO/grim-0435901.pdf
Trvalý link: http://hdl.handle.net/11104/0241872 - 9.0434119 - ÚTIA 2015 RIV PT eng C - Konferenční příspěvek (zahraniční konf.)
Grim, Jiří - Pudil, P.
Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees.
NCTA2014 - International Conference on Neural Computation Theory and Applications. Rome: SCITEPRESS, 2014, s. 65-75. ISBN 978-989-758-054-3.
[6-th International Conference on Neural Computation Theory and Applications. Rome (IT), 22.10.2014-24.10.2014]
Grant CEP: GA ČR(CZ) GA14-02652S
Grant ostatní: GA ČR(CZ) GAP403/12/1557
Institucionální podpora: RVO:67985556
Klíčová slova: Probabilistic Neural Networks * Product Mixtures * Mixtures of Dependence Trees * EM Algorithm
Kód oboru RIV: IN - Informatika
http://library.utia.cas.cz/separaty/2014/RO/grim-0434119.pdf
Trvalý link: http://hdl.handle.net/11104/0238366 - 10.0428565 - ÚTIA 2015 RIV GB eng J - Článek v odborném periodiku
Grim, Jiří
Sequential pattern recognition by maximum conditional informativity.
Pattern Recognition Letters. Roč. 45, č. 1 (2014), s. 39-45. ISSN 0167-8655. E-ISSN 1872-7344
Grant CEP: GA ČR(CZ) GA14-02652S; GA ČR(CZ) GA14-10911S
Klíčová slova: Multivariate statistics * Statistical pattern recognition * Sequential decision making * Product mixtures * EM algorithm * Shannon information
Kód oboru RIV: IN - Informatika
Impakt faktor: 1.551, rok: 2014
http://library.utia.cas.cz/separaty/2014/RO/grim-0428565.pdf
Trvalý link: http://hdl.handle.net/11104/0234221