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检索条件"机构=Analogical and Neural Computing Laboratory"
93 条 记 录,以下是1-10 订阅
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Various implementations of topographic, sensory, cellular wave computers
Various implementations of topographic, sensory, cellular wa...
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IEEE International Symposium on Circuits and Systems 2005, ISCAS 2005
作者: Zarándy, Ákos Földesy, Péter Szolgay, Péter Tokés, Szabolcs Rekeczky, Csaba Roska, TamÁs Analogical and Neural Computing Laboratory MTA-SZTAKI Budapest Hungary
The Cellular Wave Computer architecture, based on the CNN Universal Machine principle, has been implemented recently in many different physical forms. The mixed mode CMOS, the emulated digital (cell wise or as aggrega... 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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CNN Universal Machine as Classificaton Platform: An ART-like Clustering Algorithm
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International Journal of neural Systems 2003年 第6期13卷 415-425页
作者: Balya, David Analogical and Neural Computing Laboratory HAS Computer and Automation Research Institute Kende u. 13 BudapestH-1111 Hungary
Fast and robust classification of feature vectors is a crucial task in a number of real-time systems. A cellular neural/nonlinear network universal machine (CNN-UM) can be very efficient as a feature detector. The nex... 详细信息
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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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SUBPIXEL PATTERN-RECOGNITION BY IMAGE HISTOGRAMS
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PATTERN RECOGNITION 1994年 第8期27卷 1079-1092页
作者: SZIRANYI, T Analogical and Neural Computing Systems Research Laboratory Computer and Automation Institute Hungarian Academy of Sciences (MTA SZTAKI) P.O. Box 63 H-1518 Budapest Hungary
Recognition of small patterns covering only a few pixels in an image cannot be done by conventional recognition methods. A theoretically new pattern recognition method has been developed for undersampled objects which... 详细信息
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Per-pixel integration time controlled image sensor
Per-pixel integration time controlled image sensor
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2005 European Conference on Circuit Theory and Design
作者: Zarándy, Ákos Földesy, Péter Roska, Tamás Analogical and Neural Computing Laboratory Pázmány Péter Catholic University Hungarian Academy of Sciences Hungary
A per-pixel integration time controlled CMOS image sensor is presented. The main advantage of the device is that it converts high dynamic range scenes to regular dynamic range (8 bits) images on the focal plane. This ... 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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Computer-Sensors: Spatial-Temporal Computers for Analog Array Signals, Dynamically Integrated with Sensors
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Journal of VLSI signal processing systems for signal, image and video technology 1999年 第2期23卷 221-237页
作者: Roska, Tamás Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Budapest Hungary
In this paper, first, an overview is given about the whole scenario of analogic CNN computing, as a paradigm of Spatial-temporal Instruction Set Computer (StISC) operating on flows of signal arrays. Next, two areas on...
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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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Face and Eye Detection by CNN Algorithms
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Journal of VLSI signal processing systems for signal, image and video technology 1999年 第2期23卷 497-511页
作者: Balya, David Roska, Tamás Analogical and Neural Computing Laboratory Computer and Automation Research Institute Budapest Hungary
A novel approach to critical parts of face detection problems is given, based on analogic cellular neural network (CNN) algorithms. The proposed CNN algorithms find and help to normalize human faces effectively while ...
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