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 Pattern Analysis and Machine Intelligence, 29 (6)., pp. 1080-1085.
In: VIGTA '13 Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications, 2013-07-15, Szentpétervár, Oroszország.
In: Proceedings 16th International Conference on Pattern Recognition (ICPR 2002) Vol. III. Québec.
IEEE Transactions on Image Processing, 16 (3)., pp. 710-720.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 10 (4)., pp. 796-800. ISSN 1545-598x
In: VISAPP 2007. Proceedings of the 2nd international conference on computer vision theory and applications. Barcelona, 2007..
MTA SZTAKI.
In: 11th International Workshop on Content-Based Multimedia Indexing. CBMI 2013, 2013-06-17 - 2013-06-19, Veszprém, Magyarország.
In: CBMI 2007. 2007 international workshop on content-based multimedia indexing. Bordeaux, 2007..
PATTERN RECOGNITION LETTERS, 34 (11)., pp. 1252-1262. ISSN 0167-8655