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
PATTERN RECOGNITION, 35, pp. 2165-2180.
In: Képfeldolgozók és alakfelismerők III. konferenciája. Domaszék.
In: BMVC 2009. British machine vision conference. London, 2009..
In: KÉPAF 2015, 2015.01.27-2015.01.30, Kecskemét.
In: I. magyar számítógépes grafika és geometria konferencia. Budapest.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
In: Vision with Non-traditional Sensors. 26th Workshop of the Austrian Association for Pattern Recognition. (ÖAGM/AAPR). Graz, 2002. (Österreichische Computer Gesellschaft, Band 160).
In: 7th ICT innovations conference ICT Press, Skopje, pp. 183-189. ISSN 1857-7288