Number of the records: 1

Multi-source data analysis

SYSNO ASEP	0519134
Document Type	U - Organizing Conference, Workshop, Exhibition
R&D Document Type	W - Uspořádání workshopu
R&D Document Type	Není vybrán druh dokumentu
Title	Multi-source data analysis
Author(s)	Zitová, Barbara (UTIA-B)_{RID, ORCID} Šroubek, Filip (UTIA-B)_{RID, ORCID} Kopeček, Jaromír (FZU-D)_{RID, ORCID}
Number of authors	3
Event type	W - Workshop
Event date	25.11.2019 - 26.11.2019
VEvent location	Praha
Country	CZ - Czech Republic
Event type	WRD
Total number of participants	70
Number of foreign participants	35
Language	eng - English
Keywords	data fusion ; data analysis
Subject RIV	JD - Computer Applications, Robotics
OECD category	Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Subject RIV - cooperation	Institute of Physics - Solid Matter Physics ; Magnetism
Institutional support	UTIA-B - RVO:67985556 ; FZU-D - RVO:68378271
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2020

Number of the records: 1