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 Image Processing, 18 (10)., pp. 2303-2315.
IEEE MultiMedia, 16 (3)., pp. 48-58. ISSN 1070-986X
MTA SZTAKI, Budapest, pp. 20.
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
In: AVSS 2009. 6th IEEE international conference on advanced video and signal based surveillance. Genoa, 2009..
In: Magyar képfeldolgozók és alakfelismerők országos konferenciája. KEPAF conference on image analysis and pattern recognition. Keszthely, 1997..
IEEE Transactions on Geoscience and Remote Sensing, 47 (10)., pp. 3416-3430.
In: ACIVS 2009. 11th international conference on advanced concepts for intelligent vision systems. Bordeaux, 2009. (Lecture notes in computer science 5807.).
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 32 (7)., pp. 1013-1026.