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检索条件"机构=Analogic and Neural Computing Systems Laboratory Computer and Automation Institute"
84 条 记 录,以下是51-60 订阅
排序:
Some methods for practical halftoning on the CNN universal machine
Some methods for practical halftoning on the CNN universal m...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: K.R. Crounse T. Roska L.O. Chua Nonlinear Electronics Laboratory University of California Berkeley CA USA Analogic and Neural Computing Laboratory Hungarian Academy of Sciences Computer and Automation Institute Budapest Hungary
This paper explores two issues which are relevant in practical halftoning situations on the CNN universal machine: block processing of large images with small CNN arrays, and the use of no larger than 3/spl times/3 te... 详细信息
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An adaptive resonance theory-based neural network capable of learning via representational redescription
An adaptive resonance theory-based neural network capable of...
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International Joint Conference on neural Networks (IJCNN)
作者: G. Bartfai Analogical and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
This paper introduces a neural network architecture called R2MAP, which is based on the representational redescription hypothesis in cognitive science and adaptive resonance theory (ART) neural networks. The R2MAP net... 详细信息
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On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards
On the chip implementation of analogic algorithms for optica...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: K. Tomordi P. Foldesy P. Szolgay Analogic and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Image Processing and Neurocomputing Department Faculty of Engineering University of Veszprém Veszprem Hungary
Printed circuit board layout inspection methods are mostly based on local geometric information, therefore they are well suited to the cellular neural networks (CNN) paradigm. The wire break, the wire and isolation wi... 详细信息
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A fast fixed point learning method to implement associative memory on CNN's
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IEEE TRANSACTIONS ON CIRCUITS AND systems I-FUNDAMENTAL THEORY AND APPLICATIONS 1997年 第4期44卷 362-366页
作者: Szolgay, P Szatmari, I Laszlo, K Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
Cellular neural Networks (CNN's) with space-varying interconnections are considered here to implement associative memories, A fast learning method is presented to compute the interconnection weights. The algorithm... 详细信息
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Markov random field image segmentation using cellular neural network
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IEEE TRANSACTIONS ON CIRCUITS AND systems I-FUNDAMENTAL THEORY AND APPLICATIONS 1997年 第1期44卷 86-89页
作者: Sziranyi, T Zerubia, J Analogical and Neural Computing Systems Research Laboratory Computer and Automation Institute Hungarian Academy of Sciences (MTA-SZTAKI) Budapest Hungary I.N.R.I.A. Sophia Antipolis Sophia-Antipolis France
Markovian approaches to early vision processes need a huge amount of computing power. These algorithms can usually be implemented on parallel computing structures. with the Cellular neural Networks (CNN), a new image ... 详细信息
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Spatial depth extraction using random stereograms in analogic CNN framework
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INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 1996年 第1期24卷 69-92页
作者: Radvanyi, AG Analogical and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences POB 63 H-1518 Budapest Hungary
Demonstrated and motivated on human stereo vision analogic CNN algorithms are proposed to extract 3D spatial information from computer-generated random-dot stereograms as well as real scene random-dot like ones produc...
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Robustness of cellular neural networks in image deblurring and texture segmentation
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INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 1996年 第3期24卷 381-396页
作者: Sziranyi, T Analogical and Neural Computing Systems Research Laboratory Computer and Automation Institute Hungarian Academy of Sciences (MTA SZTAKI) pf. 63 H-1518 Budapest Hungary
Template parameters of cellular neural networks (CNNs) should be robust enough to random variability of VLSI tolerances and noise. Using the CNN for image processing, one of the main problems is the robustness of a gi... 详细信息
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Feature extraction of postage stamps using an iterative approach of CNN
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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND computer SCIENCES 1996年 第10期E79A卷 1741-1746页
作者: Kishida, J Rekeczky, C Nishio, Y Ushida, A Faculty of Engineering Tokushima University Tokushima-shi 770 Japan Analogical and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences 27 H-1111 Budapest Kende-u. 13-17 Hungary
In this article, a new analogic CNN algorithm to extract features of postage stamps in fray-scale images is introduced. The Gradient Controlled Diffusion method plays an important role in the approach. In our algorith... 详细信息
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Distance preserving 1D Turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection)
Distance preserving 1D Turing-wave models via CNN, implement...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: G. Toth P. Foldesy T. Roska Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
In this paper a cellular neural network (CNN) implementation of a reaction-diffusion system is described, which produces distance preserving periodic Turing patterns. The CNN with complex-valued templates are introduc... 详细信息
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Adaptive histogram equalization with cellular neural networks
Adaptive histogram equalization with cellular neural network...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: M. Csapodi T. Roska Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
Adaptive histogram equalization (AHE), a method of contrast enhancement which is sensitive to local spatial information in image, has demonstrated its effectiveness in many applications. However, this technique is com... 详细信息
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