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: ICPR 2008. 19th international conference on pattern recognition. Tampa, 2008..
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
IEEE Transactions on Image Processing, 17 (4)., pp. 608-621.
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 32 (7)., pp. 1013-1026.
In: VISAPP 2008. 3rd international conference on computer vision theory and applications. Funchal, 2008..
In: Computer analysis of images and patterns. 7th international conference. CAIP '97. Kiel, 1997. (Lecture notes in computer science, 1296.).
MTA SZTAKI, Budapest, pp. 17.
In: CBMI 2008. International workshop on content-based multimedia indexing..
In: ECCTD '97. Proceedings of the 1997 European conference on circuit theory and design. Budapest, 1997. Vol. 2..