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Multi-source data analysis
- 1.0519134 - ÚTIA 2020 RIV eng U - Conference, Workshop Arrangement
Zitová, Barbara - Šroubek, Filip - Kopeček, Jaromír
Multi-source data analysis.
[Praha, 25.11.2019-26.11.2019, (W-WRD 70/35)]
Grant - others:AV ČR(CZ) StrategieAV21/1
Program: StrategieAV
Institutional support: RVO:67985556 ; RVO:68378271
Keywords : data fusion * data analysis
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Condensed matter physics (including formerly solid state physics, supercond.) (FZU-D)
http://library.utia.cas.cz/separaty/2019/ZOI/zitova-0519134.pdf
Analysis of data coming from different physical modalities is one of the key issues of recent image processing research. Proper fusion of the data provides better understanding and can even improve the visibility of concealed features. Such methods can be found in various application areas spanning from the medical imaging, material analysis, remote sensing to cultural heritage. This workshop will bring together researchers both on a national and international level to exchange ideas, encourage collaborations and present cutting-edge research. We welcome participants both from research institutions as well as from industry, hospitals, government and other application areas.
Permanent Link: http://hdl.handle.net/11104/0304171
Number of the records: 1