Items where Author is "Csapodi, M."

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Number of items: 22.
DateAuthor/TitleDocument Type
2000Zarándy, Ákos and Csapodi, M. and Roska, Tamás
20 msec focal plane image processing
Conference or Workshop Item
2000Roska, Tamás and Bálya, Dávid and Csapodi, M. and Zarándy, Ákos
Analogikai celluláris számítógépek. Egy új számítógépelv
Article
2000Liszka, G. and Zarándy, Ákos and Roska, Tamás and Petrányi, Á. and Hegyesi, J. and Csapodi, M. and Kék, László
A mammogram diagnostic workstation
Book Section
1999Csapodi, M. and Vandewalle, J. and Preneel, B.
CNN algorithms for video authentication and copyright protection
Article
1999Csapodi, M.
Image analysis and cryptographic applications to cellular neural networks
Thesis
1999Csapodi, M. and Petrányi, Á. and Liszka, GY and Zarándy, Ákos and Kék, László and Roska, Tamás
Local contrast measures for detection of microalcifications. (Research report of the Analogical and Neural Computing Laborarory, DNS-3-1999)
Book
1999Csapodi, M. and Petrányi, Á. and Liszka, GY and Zarándy, Ákos and Roska, Tamás
Noise estimation and measures for detection of clustered microalcifications
Book Section
1998Vandewalle, J. and Preneel, B. and Csapodi, M.
Data security issues, cryptographic protection methods, and the use of cellular neural networks and cellular automata
Conference or Workshop Item
1998Csapodi, M. and Vandewalle, J. and Roska, Tamás
High speed calculation of cryptographic hash functions by CNN chips
Conference or Workshop Item
1998Csapodi, M. and Vandewalle, J. and Roska, Tamás
Invertible operations on a cellular neural network universal machine
Article
1998Szirányi, Tamás and Csapodi, M.
Texture classification and segmentation by cellular neural networks using genetic learning
Article
1997Zarándy, Ákos and Csapodi, M. and Liszka, GY and Roska, Tamás and Petrányi, Á. and Kék, László and Udvarhelyi, N. and Hegyesi, J.
Analogic mammogram diagnostic workstation boosted up with cellular neural networks. Version 1.1. (Research report of the Analogical and Neural Computing Laboratory, DNS-3-1997.)
Book
1997Zarándy, Ákos and Rekeczky, Csaba and Csapodi, M. and Roska, Tamás
Mammogram and echocardiogram analysis by using cellular neural network technology
Article
1996Fehér, B. and Szolgay, Péter and Roska, Tamás and Radványi, András and Szirányi, Tamás and Csapodi, M. and László, K. and Nemes, L. and Szatmári, István and Tóth, Gábor András and Venetianer, PL
ACE: A digital floating point CNN emulator engine
Conference or Workshop Item
1996Csapodi, M. and Roska, Tamás
Adaptive histogram equalization with Cellular Neural Networks
Conference or Workshop Item
1996Csapodi, M. and Roska, Tamás
Dynamic analogic CNN algorithms for a complex recognition task - a first step towards a bionic eyeglass
Article
1996Csapodi, M. and Roska, Tamás and Wandewalle, J.
An embedded use of 2D cryptography schemes in video coding using the CNN universal marchine architecture. Part 1: 2D cryptography via CNN - an introduction. (Research report of the Analogical and Neural Computing Laboratory, DNS-12-1996.)
Book
1995Csapodi, M. and Roska, Tamás
Dynamic analogic CNN algorithms for a complex recognition task - a first step a bionic eyeglass. (Research report of the Analogical and Neural Computing Laboratory DNS-4-1995.)
Book
1994Csapodi, M. and Nemes, L. and Tóth, Gábor András and Roska, Tamás and Radványi, András
Some novel analogic CNN algorithms for object rotation, 3D interpolation-approximation, and a "door-in-a-floor" problem
Conference or Workshop Item
1994Szirányi, Tamás and Csapodi, M.
Texture classification and segmentation by cellular neural network using genetic learning. (Research report of the Analogical and Neural Computing Laboratory. DNS-6-1994.)
Book
1994Szirányi, Tamás and Csapodi, M.
Texture classification by cellular neural network and genetic learning
Conference or Workshop Item
1993Szirányi, Tamás and Csapodi, M.
Texture detection by cellular neural network using genetic learning (Research report of the Dual and Neural Computing Systems Laboratory DNS-8-1993)
Book
This list was generated on Wed Dec 18 03:09:19 2024 CET.