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
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 44 (1)., pp. 86-89.
In: VIII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 33-42.
In: Proceedings of the third IEEE international workshop on cellular neural networks and their applications. CNNA-94. Rome, 1994.
In: 2016 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings IEEE, Budapest, pp. 2636-2640.
PATTERN RECOGNITION, 27 (8)., pp. 1079-1092. ISSN 0031-3203
MTA SZTAKI, Budapest, pp. 20.
In: 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) IEEE, Piscataway, pp. 1-5.
In: 24th European Signal Processing Conference, EUSIPCO 2016 IEEE, New York, pp. 2161-2165.
In: 12th IAPR international conference on pattern recognition. Proceedings. Jerusalem, 1994. Vol. 3..
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..