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
PATTERN RECOGNITION LETTERS, 32 (13)., pp. 1535-1543. ISSN 0167-8655
MTA SZTAKI.
In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), 2011-06-20 - 2011-06-25, Colorado Springs, Amerikai Egyesült Államok.
In: 11th International Workshop on Content-Based Multimedia Indexing. CBMI 2013, 2013-06-17 - 2013-06-19, Veszprém, Magyarország.
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I-3, 2012 XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia, 2012-08-25 - 2012-09-01, Melbourne, Ausztrália.
In: VCM 2013 - The ISPRS Workshop on 3D Virtual City Modeling, 2013-05-28 - 2013-05-31, Saskatchewan, Kanada.
In: ICIP 2011. 18th IEEE international conference on image processing, 2011-09-11 - 2010-11-30, Brussels, Belgium.
In: IEEE International Conference on Cognitive Infocommunications, 2-5, December, 2013, Budapest, Hungary.
In: SPPRA 2011. 8th IASTED international conference on signal processing, pattern recognition and applications, 2011-02-16 - 2011-01-31, Innsbruck, Ausztria.
In: Képaf 2013, 2013 január 29-február 1, Bakonybél, Magyarország.