C. Rekeczky

发表

Calculating local and global PDEs by analogic diffusion and wave algorithms

T. Roska, C. Rekeczky, 2001 .

CNN‐based difference‐controlled adaptive non‐linear image filters

Tamás Roska, Akio Ushida, Csaba Rekeczky, 1998 .

Adaptive Simulated Annealing in CNN Template Learning

Akio Ushida, Yoshifumi Nishio, Brett Chandler, 1999 .

CNN-based spatio-temporal nonlinear filtering and endocardial boundary detection in echocardiography

Tamás Roska, Csaba Rekeczky, Zoltan Vegh, 1999 .

BUBBLE-DEBRIS IMAGE ENHANCEMENT

L. Chua, T. Roska, C. Rekeczky, 1997 .

Image segmentation and edge detection via constrained diffusion and adaptive morphology: a CNN approach to bubble/debris image enhancement

Csaba Rekeczky, Tamás Roska, István Szatmári, 1997 .

Image Segmentation by Soft Computing on the CNN Universal Machine

Akio Ushida, Cs. Rekeczky, Tamás Roska, 1996 .

3D Echocardiography Powered by CNN Technology

T. Roska, G. Cserey, C. Rekeczky, 2001 .

CNN based self-adjusting nonlinear filters.(Research report of the Analogical and Neural Computing Laboratory, DNS-4-1996.)

Csaba Rekeczky, A. Ushida, Tamás Roska, 1996 .

Receptive Field Atlas and Related CNN Models

István Petrás, Tamás Roska, Mátyás Brendel, 2004, Int. J. Bifurc. Chaos.

Overview of CNN research: 25 years history and the current trends

Leon O. Chua, Ákos Zarándy, Csaba Rekeczky, 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

Feature guided visual attention with topographic array processing and neural network-based classification

D. Balya, G. Timar, I. Szatmari, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Bio-inspired flight control and visual search with CNN technology

Csaba Rekeczky, István Szatmári, Dávid Bálya, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

Multichannel spatio-temporal topographic processing for visual search and navigation

Csaba Rekeczky, Istvan Szatmari, David Balya, 2003, SPIE Microtechnologies.

Cellular multi-adaptive analogic computing: Algorithms for UAV applications

G. Timar, Ákos Zarándy, Frank S. Werblin, 2004 .

Topographic and non-topographic neural network based computational platform for UAV applications

D. Balya, G. Timar, I. Szatmari, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Elastic Grid-Based Multi-Fovea Algorithm for Real-Time Object-Motion Detection in Airborne Surveillance

Csaba Rekeczky, Balázs Gergely Soós, Vilmos Szabo, 2010 .

The network behind spatio‐temporal patterns: building low‐complexity retinal models in CNN based on morphology, pharmacology and physiology

Frank S. Werblin, Csaba Rekeczky, Erik Nemeth, 2001, Int. J. Circuit Theory Appl..

CNN-based difference-controlled adaptive non-linear image filters

Tamás Roska, Akio Ushida, Csaba Rekeczky, 1998, Int. J. Circuit Theory Appl..

Analogic cellular PDE machines

I. Szatmari, C. Rekeczky, T. Roska, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

A bio-inspired two-layer mixed-signal flexible programmable chip for early vision

István Petrás, Ángel Rodríguez-Vázquez, Ricardo Carmona-Galán, 2003, IEEE Trans. Neural Networks.

Computing with Front Propagation: Active Contour And Skeleton Models In Continuous-Time CNN

Leon O. Chua, Csaba Rekeczky, L. Chua, 1999, J. VLSI Signal Process..

Efficient off-line feature selection strategies for on-line classifier systems

D. Balya, G. Timar, I. Szatmari, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Classification of spatio-temporal features: the nearest neighbor family

G. Timar, Csaba Rekeczky, István Szatmári, 2003 .

A hierarchical vision processing architecture oriented to 3D integration of smart camera chips

Ángel Rodríguez-Vázquez, Tamás Roska, Victor M. Brea, 2013, J. Syst. Archit..

Bi-i: a standalone ultra high speed cellular vision system

A. Zarandy, C. Rekeczky, C. Rekeczky, 2005, IEEE Circuits and Systems Magazine.

Rotation invariant detection of moving and standing objects using analogic cellular neural network algorithms based on ring codes

Tamás Roska, Akio Ushida, Csaba Rekeczky, 1995 .

Cellular multiadaptive analogic architecture: a computational framework for UAV applications

Ákos Zarándy, Csaba Rekeczky, István Szatmári, 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

PDE-Based Histogram Modification With Embedded Morphological Processing Of The Level-Sets

Csaba Rekeczky, Péter Földesy, György Cserey, 2003, J. Circuits Syst. Comput..

Multi-target tracking with stored program adaptive CNN universal machines

G. Timar, C. Rekeczky, G. Cserey, 2002, Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications.

PDE based histogram modification with embedded morphological processing of the level-sets

C. Rekeczky, P. Foldesy, G. Cserey, 2002, Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications.

Online 3-D Reconstruction of the Right Atrium From Echocardiography Data via a Topographic Cellular Contour Extraction Algorithm

Csaba Rekeczky, Dániel Hillier, Zsolt Czeilinger, 2010, IEEE Transactions on Biomedical Engineering.

Implementation of a pixel-level snake algorithm on a CNNUM-based chip set architecture

Csaba Rekeczky, David López Vilariño, C. Rekeczky, 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

Pixel‐level snakes on the CNNUM: algorithm design, on‐chip implementation and applications

Csaba Rekeczky, David López Vilariño, C. Rekeczky, 2005, Int. J. Circuit Theory Appl..

Configurable 3D-integrated focal-plane cellular sensor–processor array architecture

Chi K. Tse, Yuehui Huang, Herbert Ho-Ching Iu, 2008 .

Sensor Integration in Autonomous Systems

Bertram E. Shi, Csaba Rekeczky, Bertram E. Shi, 2007, 2007 IEEE International Symposium on Circuits and Systems.

CNN architectures for constrained diffusion based locally adaptive image processing

Csaba Rekeczky, C. Rekeczky, 2002, Int. J. Circuit Theory Appl..

Simulation of an Analogue Circuit Solving NP-Hard Optimization Problems

Csaba Rekeczky, András Horváth, Miklós Koller, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

2D operators on topographic and non‐topographic architectures—implementation, efficiency analysis, and architecture selection methodology

Ákos Zarándy, Csaba Rekeczky, C. Rekeczky, 2011, Int. J. Circuit Theory Appl..

Integration of IR focal plane arrays with massively parallel processor

A. Zarandy, P. Esfandiari, P. Koskey, 2008, SPIE Defense + Commercial Sensing.

High performance processor array for image processing

Csaba Rekeczky, Péter Földesy, Ákos Zarándy, 2007, 2007 IEEE International Symposium on Circuits and Systems.

Computing on silicon with trigger waves: experiments on CNN-UM chips

Csaba Rekeczky, Péter Földesy, István Szatmári, 2001, ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196).

The computational infrastructure for cellular visual microprocessors

D. Balya, Cs. Rekeczky, P. Szolgay, 1999, Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems.

CNN‐based spatio‐temporal nonlinear filtering and endocardial boundary detection in echocardiography

Tamás Roska, Csaba Rekeczky, Zoltán Végh, 1999, Int. J. Circuit Theory Appl..

Mammogram analysis using CNN algorithms

L. Kek, J. Hegyesi, Csaba Rekeczky, 1995, Medical Imaging.

CNN based adaptive smoothing and some novel types of nonlinear operators for grey-scale image processing

Tamás Roska, Yoshifumi Nishio, Csaba Rekeczky, 1995 .

An optical CNN implementation with stored programmability

Tamás Roska, Ákos Zarándy, Csaba Rekeczky, 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

Dennis Gabor as the initiator of optical computing: Importance and prospects of optical computing and an optical implementation of the CNN-UM computer

Tamás Roska, Ákos Zarándy, Csaba Rekeczky, 2000 .