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检索条件"机构=Analogical and Neural Computing Laboratory"

共 93 条记录，以下是81-90 订阅

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

Computing on silicon with trigger waves: experiments on CNN-...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： C. Rekeczky I. Szatmari P. Foldesy Analogical and Neural Computing Systems Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Jedlik Laboratories Department of Information Technology Péter Pazmány Catholic University Budapest Hungary

ISBN: (纸本)0780366859

In this paper, experimental results on Cellular neural Network Universal Machine (CNN-UM) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear waves as the basic kernels of algorithms solving filtering-reconstruction and/or detection-classification problems. Showing output results from series of experiments it will be demonstrated how trigger waves, the simplest nonlinear waves, can constructively be used in a number of important application areas.

关键词： Silicon Cellular neural networks Shape Active contours Laboratories Microprocessors Object detection Image reconstruction Echocardiography Automation

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Multigrid MRF based picture segmentation with cellular neural networks 7th

Multigrid MRF based picture segmentation with cellular neura...

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7th International Conference on Computer Analysis of Images and Patterns, CAIP 1997

作者： Czúni, Lázló Szirányi, Tamás Zerubia, Josiane University of Veszprém Dep. of Image Processing and Neurocomputing Egyetem u. 10 VeszprémH-8200 Hungary Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences H-11 t 1 Budapest Kende u. 13-17 Hungary NRIA Sophia-Antipolis BP 93 2004 route des Lucioles Sophia-Antipolis Cedex06902 France

ISBN: (纸本)3540634606

Due to the large computation power needed in image processing methods based on Markovian Random Field (MRF) [6], new variations of basic MRF models are implemented. The Cellular neural Network [5,14,15] (CNN) architecture, implemented in real VLSI circuits, is of superior speed in image processing. This very fast CNN can implement the ideas of existing MRF models. which would result in real-time processing of images. On the other hand this VLSI solution gives new tasks since the CNN has a special local architecture [4], but it is already shown that a type of MRF image segmentation with Modified Metropolis Dynamics (MMD [9]) can be well implemented in the CNN architecture [18]. In this paper, we address the improvement of the existing CNN method [ 17]. We have tested different multigrid models and compared segmentation results. The main reason for this research is to find proper implementation of the CNN-MRF technique on CNNs taking into consideration the abilities of today's and future's VLSI CNN systems. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Cellular neural networks

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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 using different CNNUM (cellular neural net Universal Machine ) implementations. How complexity to time transformations were used in different CNNUM implementations, namely in software, in emulated digital CNN chips and in analog chips is discussed.

关键词： Cellular neural networks Spatiotemporal phenomena Mechanical systems Computer networks Equations Damping Boundary conditions Laboratories Automation Transient response

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A fast, complex and efficient test implementation of the CNN Universal Machine

A fast, complex and efficient test implementation of the CNN...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： J.M. Cruz L.O. Chua T. Roska Electronics Research Laboratory and Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Electronics Research Laboratory University of California Berkeley CA USA

In this paper we report on a fast, complex and efficient implementation of the Cellular neural Network Universal Machine as an IC chip. The chip has continuous time analog dynamics, and has been designed to process 50... 详细信息

关键词： Testing Cellular neural networks Turing machines Voltage Laboratories USA Councils Analog memory Logic circuits Programmable logic arrays Capacitors

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Novel types of analogic CNN algorithms for recognizing bank-notes

Novel types of analogic CNN algorithms for recognizing bank-...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： A. Zarandy F. Werblin T. Roska L.O. Chua Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Molecular Cell Biology 145-LSA University of California Berkeley CA USA Department of Electronics Research Laboratory University of California Berkeley USA

Novel types of analogic algorithms, using spatio-temporal CNN (cellular nonlinear/neural networks) operations are introduced. These algorithms make complex decisions in images without reading out the CNN chip. This makes them extremely time, area, and power effective. Two crucial effects are emphasized: diffusion type templates are applied during a finite time interval and local logic operates within well defined parts (patches) in the image plane. Hence, a new type of pattern recognition algorithm is introduced. The technique is demonstrated on an example. In our example we are dealing with an actual problem: how to avoid the counterfeiting on color copiers.< >

关键词： Cellular neural networks Turing machines Logic testing Laboratories Flowcharts Biological cells Image processing Cellular networks neural networks Counterfeiting

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Non-linear scale-selection for image compression improvement obtained by perceptual distortion criteria

Non-linear scale-selection for image compression improvement...

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International Conference on Image Analysis and Processing

作者： I. Kopilovic T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogical and Neural Computing Laboratory Computer & Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Department of Image Processing and Neurocomputing University of Veszprém Hungary

The effect of linear and nonlinear diffusions prior to the Joint Photographic Experts Group (JPEG) standard baseline compression is analysed and compared. We shall show that anisotropic diffusion acts as an adaptive filtering that extracts and preserves the important visual information, and it will be shown how it can be used as a preprocessing method for compression artefact reduction. The selection of the appropriate preprocessing parameters at a specified bit-rate greatly reduces the compression artefacts. The selection criteria were determined using a perceptual error metric based on a model of the human visual system.

关键词： Image coding Nonlinear distortion Adaptive filters Data mining Image processing Transform coding Smoothing methods Nonlinear equations Noise shaping Filtering

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Spatio-temporal CNN algorithm for object segmentation and object recognition

Spatio-temporal CNN algorithm for object segmentation and ob...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： A. Schultz C. Rekeczky I. Szatmari T. Roska L.O. Chua Radar Division Naval Research Laboratory Inc. Washington D.C. DC USA Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Electronics Research Laboratory College of Engineering University of California Berkeley Berkeley CA USA

In this paper a spatio-temporal analogic cellular neural network (CNN) algorithm is designed for front-end filtering, segmentation and object recognition. First, a generalized segmentation strategy is presented based on various diffusion models. Both PDE and non-PDE related schemes are discussed and their VLSI complexity is analyzed. In classification (object recognition) a CNN implementation of the autowave metric, a "nonlinear" variant of the Hausdorff metric, is used. This approach turned out to be superior compared to some other classification methods. A number of tests have been completed within the so-called "bubble/debris" segmentation experiments using original and artificial gray-scale images.

关键词： Cellular neural networks Object segmentation Object recognition Signal processing algorithms Testing Laboratories Engines Filtering algorithms Algorithm design and analysis Radar

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CNN model of the feature-linked synchronized activities in the visual thalamo-cortical system

CNN model of the feature-linked synchronized activities in t...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： L. Orzo Z. Vidnyanszky J. Hamori T. Roska Lab. of Neurobiol. Semmuelweis Univ. Med. Sch. Budapest Hungary Laboratory of Neurobiology Semmelweis University Medical School Budapest Hungary Analogical and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

In order to investigate whether thalamic synchronization may contribute to the binding of different cortical representations in visual information processing, we made a neuromorphic model of the thalamo-cortical loop, using the cellular neural network (CNN) model and simulator. It is demonstrated with the aid of this model that the cortico-thalamic feedback by synchronizing dLGN relay cell responses, provides a temporal code and this may induce correlated activities in the target cortical neuron population. Our results support the notion that using synchronization of temporally structured activities as general integration mechanism, the processing of visual information occurs simultaneously in the highly interconnected thalamo-cortical system.

关键词： Cellular neural networks Biological system modeling Neurons Information processing Relays Laboratories Neuromorphics Analytical models Anatomy Computer networks

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Tillarom: An AJAX based folk song search and retrieval system with gesture interface based on kodály hand

Tillarom: An AJAX based folk song search and retrieval syste...

引用

1st ACM International Workshop on Human-Centered Multimedia, HCM 2006, co-located with the 2006 ACM International Multimedia Conference

作者： Licsár, Attila Szirányi, Tamás Kovács, László Pataki, Balázs University of Pannonia Department of Image Processing and Neurocomputing Egyetem u. 10 H-8200 Veszprém Hungary Department of Distributed Systems Computer and Automation Research Institute Hungarian Academy of Sciences Lágymányosi u. 11 H-1111 Budapest Hungary Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Lágymányosi u. 11 H-1111 Budapest Hungary

ISBN: (纸本)1595935002

A digital folk song search and retrieval system with a hand gesture based interface is presented. Tillarom is a comprehensive collection of original Hungarian folk songs recorded using different technologies such as phonographs and/or stereo DAT cassettes. This digital archive contains professional quality metadata records as well as MIDI recordings for presenting the different types of clustered folk songs. An AJAX based search and retrieval interface was developed that can be used together with optically recognized Kodály's hand signs to formulate queries through a web browser. The appearance based recognition of hand gestures utilizes contour analysis and SVM based classification. We evaluated the performance of the recognition of hand signs and investigated the main problems of their usage in our system. Copyright 2006 ACM.

关键词： Information systems

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Application of analogic CNN algorithms in telemedical neuroradiology

Application of analogic CNN algorithms in telemedical neuror...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： T. Szabo P. Barsi P. Szolgay Image Processing and Neurocomputing Department University of Veszprém Veszprém Hungary Depanmeni of Radiology Naiional Insiiiuie of Neurology and Psychiairy Budapest Hungary Department of Radiology National Institute of Neurology and Psychiatry Budapest Hungary Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Budapest Hungary

A CNN-based image processing system as a part of a telemedical consulting system is introduced in this paper. A consulting network for early detection of acute ischemic stroke is outlined. CT images are processed by a... 详细信息

关键词： Cellular neural networks Computed tomography Biomedical imaging Gray-scale Magnetic resonance imaging Image processing X-ray imaging Humans Pathology Medical diagnostic imaging

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