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: BMVC 2009. British machine vision conference. London, 2009..
In: Visual learning. 33rd workshop of the Austrian Association for Pattern Recognition. Stainz, 2009. (books@ocg.at 254.).
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
Electronics Letters, 45 (18)., pp. 935-937.
IEEE Transactions on Geoscience and Remote Sensing, 47 (10)., pp. 3416-3430.
In: Signal and data processing of small targets. SPIE symposium on optical engineering + applications. San Diego, 2009. (Proceedings of the SPIE 7445.).
In: Int. Conference on Computer Vision Theory and Applications. Lisbon, Portugália.
Műszaki Szemle (ksz.)., pp. 146-149.
In: AVSS 2009. 6th IEEE international conference on advanced video and signal based surveillance. Genoa, 2009..