Computational Optical Sensing and Processing Laboratory
The main research challenge of our laboratory is to derive precise abstract information or decisions from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements such as different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera-based patient monitoring systems or wide-angle multi-camera systems in monitoring. The heavy computational load is handled by many-core processor arrays, such as GPUs in desktop applications or embedded low-power systems.
Publication date
1993
MTA SZTAKI, Budapest, pp. 6.
A framework for the classification of auditory signals with cellular neural networks (Research report of the Dual and Neural Computing Systems Laboratory DNS-3-1993.)
CNN model of the feature-linked synchronized activities in the visual thalamo-cortical system.(Research report of the Neuromorphic Information Technology Graduate Center. NIT-2-1966.)
Information theoretical approach to LEQG-optimal stochastic control and H-infinity optimal control. In: Technical Report of the Systems and Controls Laboratory, SCL - 001 - 1996
In: TWLT 6. Natural language parsing. Methods and formalisms. ACL/SIGPARSE workshop. Proceedings of the sixth Twente workshop on language technology. Enschede, 1993.
Multi-agent systems in natural language processing