Search results
- 1.0556464 - ÚTIA 2024 RIV CH eng M - Monography Chapter
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
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Bidirectional Texture Function * Texture modeling * Markov random fields * Discrete distribution mixtures * EM algorithm
OECD category: Robotics and automatic control
http://library.utia.cas.cz/separaty/2022/RO/haindl-0556464.pdf
Permanent Link: http://hdl.handle.net/11104/0330843 - 2.0495896 - ÚGN 2019 RIV CH eng C - Conference Paper (international conference)
Béreš, Michal
Karhunen-Loéve Decomposition of Isotropic Gaussian Random Fields Using a Tensor Approximation of Autocovariance Kernel.
High Performance Computing in Science and Engineering. HPCSE 2017. Cham: Springer, 2018 - (Kozubek, T.), s. 188-202. Lecture Notes in Computer Science, Code 216349, Volume 11087. ISBN 978-3-319-97135-3.
[HPCSE 2017: International Conference on High Performance Computing in Science and Engineering /3./. Karolinka (CZ), 22.05.2017-25.05.2017]
R&D Projects: GA MŠMT LQ1602; GA MŠMT LD15105
Institutional support: RVO:68145535
Keywords : random fields sampling * Karhunen-Loève decomposition * tensor approximation * numerical integration
OECD category: Applied mathematics
https://link.springer.com/content/pdf/10.1007%2F978-3-319-97136-0_14.pdf
Permanent Link: http://hdl.handle.net/11104/0288771File Download Size Commentary Version Access UGN_0495896.pdf 1 1.5 MB Author´s preprint require - 3.0441885 - ÚTIA 2015 RIV CZ eng J - Journal Article
Janžura, Martin
On the Tsallis Entropy for Gibbs Random Fields.
Bulletin of the Czech Econometric Society. Roč. 21, č. 33 (2014), s. 59-69. ISSN 1212-074X
R&D Projects: GA ČR(CZ) GBP402/12/G097
Institutional research plan: CEZ:AV0Z1075907
Keywords : Tsallis entropy * Gibbs random fields * phase transitions * Tsallis entropy rate
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2014/SI/janzura-0441885.pdf
Permanent Link: http://hdl.handle.net/11104/0245437 - 4.0411262 - UTIA-B 20030249 CZ eng D - Thesis
Havlíček, Vojtěch
Colour Texture Modelling. Ph.D. Thesis.
ÚTIA AV ČR. Defended: MFF UK. 20030929. - 2003. 104 s.
R&D Projects: GA ČR GA102/00/0030
Grant - others:Commission EC(XE) IST-2001-34744
Institutional research plan: CEZ:AV0Z1075907
Keywords : Markov random fields * texture modelling
Subject RIV: BD - Theory of Information
Permanent Link: http://hdl.handle.net/11104/0131347 - 5.0411250 - UTIA-B 20030237 CZ eng K - Conference Paper (Czech conference)
Mikeš, Stanislav - Haindl, Michal
Multispectral texture segmentation.
Praha: MFF UK, 2003. ISBN 80-86732-18-5. In: WDS '03 Proceedings of Contributed Papers. - (Šafránková, J.), s. 221-225
[Week of Doctoral Students 2003. WDS'03. Praha (CZ), 10.06.2003-13.06.2003]
R&D Projects: GA AV ČR IAA2075302
Grant - others:Commission EC(XE) IST-2001-34744
Institutional research plan: CEZ:AV0Z1075907
Keywords : texture * unsupervised segmentation * Markov random fields
Subject RIV: BD - Theory of Information
Permanent Link: http://hdl.handle.net/11104/0131335 - 6.0411231 - UTIA-B 20030218 CZ eng V - Research Report
Haindl, Michal - Filip, Jiří - Somol, Petr - Meseth, J.
BTF Parametric Database.
Praha: ÚTIA AV ČR, 2003. 20 s. Research Report, 2090.
R&D Projects: GA AV ČR IAA2075302
Grant - others:Commission EC(XE) IST-2001-34744
Institutional research plan: CEZ:AV0Z1075907
Keywords : BTF textures * textures modeling * Markov random fields
Subject RIV: BD - Theory of Information
Permanent Link: http://hdl.handle.net/11104/0131317 - 7.0411230 - UTIA-B 20030217 RIV GB eng C - Conference Paper (international conference)
Haindl, Michal - Filip, Jiří
Fast BTF texture modelling.
Edinburgh: IEEE Press, 2003. ISBN 1-904410-11-1. In: Texture 2003. Proceedings. - (Chantler, M.), s. 47-52
[International Workshop on Texture Analysis and Synthesis /3./. Nice (FR), 17.10.2003]
R&D Projects: GA AV ČR IAA2075302; GA MŠMT ME 567
Grant - others:Commission EC(XE) IST-2001-34744
Institutional research plan: CEZ:AV0Z1075907
Keywords : BTF textures * Markov random fields
Subject RIV: BD - Theory of Information
Permanent Link: http://hdl.handle.net/11104/0131316 - 8.0411068 - UTIA-B 20030055 RIV HU eng C - Conference Paper (international conference)
Janžura, Martin
A central limit theorem for conditionally centred random fields with an application to testing statistical hypotheses.
Budapest: János Bolyai Mathematical Society, 2002. In: Limit Theorems in Probability and Statistics. - (Berkes, I.; Csáki, E.; Csörgö, M.), s. 209-223
[Limit Theorems in Probability and Statistics. Balatonlelle (HU), 28.06.1999-02.07.1999]
R&D Projects: GA ČR GA201/99/0269
Institutional research plan: CEZ:AV0Z1075907
Keywords : central limit theorem * conditionally centred random fields * composite hypotheses
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0131155 - 9.0410979 - UTIA-B 20020193 CZ eng D - Thesis
Haindl, Michal
Markovian Image Models. Habilitation Thesis.
ÚTIA AV ČR. Defended: FEL ČVUT. 20021113. - 2001. 257 s.
R&D Projects: GA ČR GA106/00/1715; GA ČR GA102/00/0030
Grant - others:Commission EC(XE) IST-2001-34744
Institutional research plan: CEZ:AV0Z1075907
Keywords : Markov random fields
Subject RIV: BD - Theory of Information
Permanent Link: http://hdl.handle.net/11104/0131066 - 10.0410855 - UTIA-B 20020069 RIV NL eng J - Journal Article
Janžura, Martin - Boček, Pavel
Relative asymptotic efficiency of the maximum pseudolikelihood estimate for Gauss-Markov random fields.
Statistical Inference for Stochastic Processes. Roč. 5, č. 2 (2002), s. 179-197. ISSN 1387-0874
R&D Projects: GA ČR GA201/99/0269; GA ČR GA102/99/1137
Institutional research plan: CEZ:AV0Z1075907
Keywords : spectral density * Gauss-Markov random fields * maximum pseudolikelihood estimate
Subject RIV: BB - Applied Statistics, Operational Research
Permanent Link: http://hdl.handle.net/11104/0130942