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: Sixth IEEE International Workshop on Visual Surveillance on ECCV.
In: ICPR 2008. 19th international conference on pattern recognition. Tampa, 2008..
MTA SZTAKI, Budapest, pp. 37.
Springer, Berlin, pp. 59-68.
In: Computer analysis of images and patterns. 7th international conference. CAIP '97. Kiel, 1997. (Lecture notes in computer science, 1296.).
In: 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018 IEEE, Piscataway (NJ), pp. 1-6.
In: CogInfoCom 2011. 2nd international conference on cognitive infocommunications. Budapest, 2011..
ÖCG, Wien, pp. 157-168.
PATTERN RECOGNITION LETTERS, 33 (9)., pp. 1180-1187. ISSN 0167-8655
REAL-TIME IMAGING, 7 (1)., pp. 77-95.