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: PAVT 2011. Parallel'nüe vücsiszlitel'nüe tehnologii. Trudü mezsdunarodnoj naucsnoj konferencii, 2010-11-30, Moszkva, Oroszország.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 4, pp. 46-50.
In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 174-181.
In: Computer analysis of images and patterns. 6th international conference. CAIP' 95. Proceedings. Prague, 1995. (Lecture Notes in Computer Science 970.).
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
In: 15th international conference on pattern recognition. ICPR-2000. Proceedings. Barcelona, 2000. Vol. 1. Computer vision and image analysis..
ERCIM NEWS, 55, pp. 26-27.
In: Képfeldolgozók és alakfelismerők IV. Konferenciája, Miskolctapolca.
Pattern Recognition Letters, 27, pp. 1201-1208.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..