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
Springer, Berlin, pp. 59-68.
Machine Vision and Applications, 21 (5)., pp. 767-777. ISSN 0932-8092
MTA SZTAKI, Budapest, pp. 20.
In: BMVC 2010. British machine vision conference. Aberystwyth, 2010..
In: ISPRS Istanbul workshop 2010 on modeling of optical airborne and space borne sensors, WG I/4..
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
In: Computational Photography: Methods and Applications CRC Pr., Boca Raton, pp. 283-312.
Springer, Berlin, pp. 272-283.
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 32 (7)., pp. 1013-1026.