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检索条件"机构=Analogical and Neural Computing Laboratory of the Computer"
71 条 记 录,以下是31-40 订阅
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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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The implementation of a nonlinear wave metric for image analysis and classification on the 64/spl times/64 I/O CNN-UM chip
The implementation of a nonlinear wave metric for image anal...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: I. Szatmari Analogical and Neural Computing Laboratory. Computer and Automation institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
In this paper the implementation of a nonlinear wave metric on the 64/spl times/64 I/O CNN-UM chip and its experimental results are presented. The nonlinear wave metric was designed and introduced as a generalized the... 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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An optical CNN implementation with stored programmability
An optical CNN implementation with stored programmability
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IEEE International Symposium on Circuits and Systems (ISCAS)
作者: S. Tokes L. Orzo C. Rekeczky T. Roska A. Zarandy Analogical & Neural Computing Systems Laboratory at the Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
The objective of this paper is to provide a framework for the implementation of programmable Opto-Electronic Analogic CNN (POAC) computers embedding CNN Universal Chips. Specifically, a new method for optical CNN impl... 详细信息
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A qualitative model-framework for spatio-temporal effects in vertebrate retinas
A qualitative model-framework for spatio-temporal effects in...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: D. Balya B. Roska E. Nemeth T. Roska F. Werblin Analogical & Neural Computing Laboratory Computer and Automation Research Institute Budapest Hungary Dision Research Laboratory Deparhnent of Molecular and Cell Biology University of California Berkeley Berkeley CA USA
Retinal models based on the cellular neural network (CNN) paradigm have been widely used. These neuromorphic models are based on retinal anatomy and physiology. In this paper a framework is proposed for qualitative sp... 详细信息
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Motion segmentation and tracking optimization with edge relaxation in the cellular nonlinear network architecture
Motion segmentation and tracking optimization with edge rela...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: L. Czuni T. Sziranyi Department of Image Processing and Neurocomputing University of Veszpém Veszprem Hungary Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences Budapest Hungary
We have developed a high-level set of cellular neural net (CNN) functions for finding the segment-borders of moving objects through spatio-temporal relaxation optimization. They are analogic algorithms based on simple... 详细信息
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CNN technology in action
CNN technology in action
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: A. Zarandy S. Espejo P. Foldesy L. Kek G. Linan C. Rekeczky A. Rodriguez-Vazquez T. Roska I. Szatmari T. Sziranyi P. Szolgay Analogical and Neural Computing Laboratory of the Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary Institute of Microelectronics of Seville Spanish National Microelectronics Center Spain
Two Cellular neural Net Universal Machine (CNN-UM) prototypes are demonstrated in action. The first one is the latest 4096 cell-processor, analog I/O, analogic CNN visual microprocessor, on which online video image pr... 详细信息
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Analogic computing: system aspects of analogic CNN sensor computers
Analogic computing: system aspects of analogic CNN sensor co...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: T. Roska Analogical and Neural Computing Laboratory of the Computer and Automation Research Institute of the Hungarian Academy of Science Budapest and the Department of Information Technology Pfizmhy P. Catholic University Budapest Hungary
A new principle of computing and computers is emerging: the analogic cellular computer. Its architecture, the Cellular neural Net (CNN) Universal Machine, is now implemented in several different physical forms and the... 详细信息
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Spatio-temporal segmentation with edge relaxation and optimization using fully parallel methods
Spatio-temporal segmentation with edge relaxation and optimi...
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International Conference on Pattern Recognition
作者: T. Sziranyi L. Czuni Analogical and Neural Computing Laboratory Computer & Aut. Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary
In this paper we outline a fully parallel and locally connected computation model for the spatio-temporal segmentation of motion events in video sequences. We are searching for a new algorithm, which can be easily imp... 详细信息
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A comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems
A comparison of the different CNN implementations in solving...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: P. Szolgay T. Hidvegi Z. Szolgay P. Kozma Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Mechanics Technical University of Budapest Budapest Hungary Image processing and Neurocomputing University of Veszprém Veszprem Hungary
The large computing power of cellular neural networks (CNNs) is used to compute the transient response of a mechanical vibrating system. A basic question is how an inhomogeneous mechanical system can be computed by us... 详细信息
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