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: VS 2006. Sixth IEEE international workshop on visual surveillance. Graz, 2006..
Springer, Berlin, pp. 59-68.
Lecture Notes in Computer Science, 3851, pp. 898-907.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
Machine Vision and Applications, 21 (5)., pp. 767-777. ISSN 0932-8092
Pattern Recognition Letters, 27 (5)., pp. 822-829.
In: AVSS 2009. 6th IEEE international conference on advanced video and signal based surveillance. Genoa, 2009..
Bolyai Szemle, 15 (1)., pp. 50-53.
In: BMVC 2010. British machine vision conference. Aberystwyth, 2010..
IEEE Transactions on Geoscience and Remote Sensing, 47 (10)., pp. 3416-3430.