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: Proceedings of the eighth symposium on microcomputer and microprocessor applications. Budapest, 1994. Vol. 1..
In: Workshop on texture analysis in machine vision. TEXTURE '99. Oulu, 1999..
In: Seventh Hungarian Conference on Computer Graphics and Geometry, 2014, Budapest.
In: Efficient texture analysis: advanced methods, applications. Patras, 1993. (KFKI-1994-2/N report.).
PATTERN RECOGNITION, 32, pp. 487-502.
MACHINE GRAPHICS AND VISION, 8 (4)., pp. 553-569.
In: 12th IAPR international conference on pattern recognition. Proceedings. Jerusalem, 1994. Vol. 1..
In: Fundamental structural properties in image and pattern analysis 1999. International workshop. Budapest, 1999. (Schriftenreihe der Österreichischen Computer Gesellschaft, 130.).
COMPUTING, 62, pp. 321-338.