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Publications

1999

Springer, Berlin, pp. 412-417.

Noise estimation and measures for detection of clustered microalcifications

Authors
Csapodi, M.
Petrányi, Á.
Liszka, GY
Zarándy, Ákos
Roska, Tamás
Editors
Kuba, A
Sámal, M
Todd-Pokropek,
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1999

In: Proceedings of the european conference on circuit theory and design. ECCTD '99. Stres, 1999. Vol. 2..

Video compression algorithms on the CNN visual microprocessor - early segmentation and basic motion estimation

Authors
László, K.
Ziliani, F.
Roska, Tamás
Kunt, M.
Editors
Beccari, C
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1999

INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 27 (1)., pp. 153-169.

Very low bit-rate video coding using cellular neural network universal machine

Authors
Slot, K.
Chua, LO
Roska, Tamás
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1999

In: Design automation day on cellular visual microprocessor. Stresa, 1999..

The CADETWin application software design system - a tutorial

Authors
Szolgay, Péter
László, K.
Kék, László
Kozek, T.
Nemes, L.
Petrás, István
Rekeczky, Csaba
Szatmári, István
Zarándy, Ákos
Zöld, S.
Roska, Tamás
Editors
Roska, T
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1999

MTA SZTAKI, Budapest, pp. 18.

An analogic CNN algorithm for following continously moving objects. (Research report of the Analogical and Neural Computing Laboratory, DNS-8-1999.)

Authors
Gacsádi, S.
Roska, Tamás
Szolgay, Péter
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1999

JOURNAL OF MATHEMATICAL IMAGING AND VISION, 11 (3)., pp. 255-275.

The difference-stereogram

Authors
Radványi, András
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1999

INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 27 (1)., pp. 5-23.

The art of CNN template design

Authors
Zarándy, Ákos
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1999

MTA SZTAKI, Budapest, pp. 16.

Combination of adaptive resonance theory (ART) and cellular neural network (CNN) chips into a high-speed pattern recognition system. ( Research report of the Analogical and Neural Computing Laboratory, DNS-1-1999.)

Authors
Bártfai, Gusztáv
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1999

In: 38th IEEE conference on decision and control. Conference proceedings. Phoenix, 1999..

Stochastic approximation for function minimization under quantization error

Authors
Gerencsér, László
Vágó, ZS
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1999

MTA SZTAKI, Budapest, pp. 16.

Solving the shortest path problem in the CNN framework - a comparison of different approaches. (Research report of the Analogical and Neural Computing laboratory DNS-7-1999.)

Authors
Rekeczky, Csaba
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