Multi-source data analysis

0519134 - ÚTIA 2020 RIV eng U - Uspořádání akce
Zitová, Barbara - Šroubek, Filip - Kopeček, Jaromír
Multi-source data analysis.
[Praha, 25.11.2019-26.11.2019, (W-WRD 70/35)]
Grant ostatní: AV ČR(CZ) StrategieAV21/1
Program: StrategieAV
Institucionální podpora: RVO:67985556 ; RVO:68378271
Klíčová slova: data fusion * data analysis
Obor OECD: 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.
Trvalý link: http://hdl.handle.net/11104/0304171