Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
In: VI. Magyar számítógépes grafika és geometria konferencia, 2012-02-21 - 2012-02-22, Budapest, Magyarország.
In: Visual learning. 33rd workshop of the Austrian Association for Pattern Recognition. Stainz, 2009. (books@ocg.at 254.).
In: Lecture notes in computer science, 2012-07-11 - 2012-07-13, Palma de Mallorca, Spanyolország.
In: KÉPAF 2019: Képfeldolgozók és Alakfelismerők Társaságának 12. országos konferenciája, 2019.01.28-2019.01.31, [Debrecen].
In: BMVC 2009. British machine vision conference. London, 2009..
In: Spring Conference on Computer Graphics SCCG 2012 in corporation with ACM and Eurographics, 2012-05-02 - 2012-05-04, Bratislava, Szlovákia.
In: KÉPAF 2019: Képfeldolgozók és Alakfelismerők Társaságának 12. országos konferenciája, 2019.01.28-2019.01.31, Debrecen, Hungary.
In: 3rd IEEE International Conference on Cognitive Infocommunications. CogInfoCom 2012. Proceedings, 2012-12-02 - 2012-12-05, Kosice, Szlovákia.