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检索条件"机构=Analogic and Neural Computing Laboratory Computer and Automation Research Institute"
97 条 记 录,以下是51-60 订阅
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Multi-scale image analysis on the CNN Universal Machine
Multi-scale image analysis on the CNN Universal Machine
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: T. Kozek K.R. Crounse T. Roska L.O. Chua Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Nonlinear Electronics Laboratory University of California Berkeley CA USA
Algorithms for generating multi-scale representations of gray-scale images are presented. A number of possible approaches are described to produce low-pass and band-pass decompositions using simple analogic algorithms... 详细信息
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Collision prediction via the CNN Universal Machine
Collision prediction via the CNN Universal Machine
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: V. Gal T. Roska Analogical & Neural Computing Systems Laboratory at the computer Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary
We present an analogic CNN algorithm that estimates the time to an impending collision between an approaching object and the observer. Calculation is based on a context insensitive method, which is well known in neuro... 详细信息
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An Emulated Digital CNN Implementation
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Journal of VLSI signal processing systems for signal, image and video technology 1999年 第2期23卷 291-303页
作者: Keresztes, Péter Zarándy, Ákos Roska, Tamás Szolgay, Péter Bezák, Tamás Hidvégi, Timót Jónás, Péter Katona, Attila István Széchenyi Polytechnic Győr Hungary Analogic and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences Budapest Hungary University of Veszprém Veszprém Hungary
A new emulated digital CNN Universal Machine chip architecture is introduced and the main steps of the design process are shown in this paper. One core processor can be implemented on 2 × 2 mm2 silicon area with ...
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High speed stand-alone visual decision maker device based on focal plane analogic processor array chip
High speed stand-alone visual decision maker device based on...
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IEEE International Workshop on Virtual and Intelligent Measurement Systems
作者: L. Torok A. Zarandy T. Roska Analogical & Neural Computing Systems Laboratory at Computer and Automation Research Institute of the Hungarian Academy of Sciences Budapest Hungary
Newly emerging problems require high speed decision making based on visual perception of the environment. A project was set up to construct an intelligent agent like self-contained device that is capable to act in rea... 详细信息
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A new CNN template for POAC peak enhancement
A new CNN template for POAC peak enhancement
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European Conference on Circuit Theory and Design, ECCTD
作者: A. Ayoub S. Tokes Analogic and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Magyar Tudomanyos Akademia Szamitastechnikai es Automatizalasi Kutatointezet Budapest Budapest HU
We propose a CNN template to enhance the POAC output (correlogram peaks) for higher detection accuracy. Our recursive algorithm found the optimum template values under the one-third condition. The statistical, simulat... 详细信息
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20 /spl mu/sec focal plane image processing
20 /spl mu/sec focal plane image processing
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: A. Zarandy M. Csapodi T. Roska Analogical and Neural Computing Laboratory of the Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
Ultra high frame rate image processing was achieved by applying CNN-UM (cellular neural net-Universal Machine) chips as focal plane array processors. By applying parallel optical input, and reading out binary decision... 详细信息
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Optimal CNN templates for deconvolution
Optimal CNN templates for deconvolution
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: L. Orzo Analogical & Neural Computing Systems Laboratory at the Computer and Automation Research Institute of the Hungarian Academy of Sciences Budapest Hungary
A simplified version of the gradient descent method is introduced as a straightforward way to find optimal 3/spl times/3 CNN templates for the inversion of known point spread functions (PSF). In practical applications... 详细信息
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A Nonlinear Wave Metric and its CNN Implementation for Object Classification
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Journal of VLSI signal processing systems for signal, image and video technology 1999年 第2期23卷 437-447页
作者: Szatmári, István Rekeczky, Csaba Roska, Tamás Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences Budapest Hungary Electronics Research Laboratory College of Engineering University of California at Berkeley Berkeley USA
In this paper a nonlinear wave metric is introduced for object classification. It is shown that the choice of a metric is a nontrivial problem since it is easy to give examples when well-known distance measures, such ...
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Statistical subpixel pattern recognition by histograms
Statistical subpixel pattern recognition by histograms
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International Conference on Pattern Recognition
作者: T. Sziranyi Dual and Neural Computing Systems Research Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
A new statistical pattern recognition method has been developed for detection, recognition or measurement of patterns which are (much) smaller than the measure of the elementary pixel windows in the image screen. In t... 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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