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检索条件"机构=Analogical and Neural Computing Laboratory"
93 条 记 录,以下是41-50 订阅
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Early segmentation in video compression using CNN processors
Early segmentation in video compression using CNN processors
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: K. Laszlo F. Ziliani T. Roska M. Kunt Analogical and Neural Computing Laboratory Computer and Automation Institute Budapest Hungary Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland
Two analogic (analog and logic) CNN algorithms are presented which segment a video sequence into objects. The algorithms are mainly based on 3 by 3, linear templates. This allows the CNN Universal Machine to execute t... 详细信息
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Analogic algorithms running on the CNN Universal Machine
Analogic algorithms running on the CNN Universal Machine
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: T. Roska Analogical and Neural Computing Laboratory Comp. Aut. Inst. Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
In this paper first we classify the analogic CNN algorithms; instructions, subroutines, and programs. The complexity of analogic algorithms is defined based on Chaitin's definition of algorithmic computational com... 详细信息
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PDE based histogram modification with embedded morphological processing of the level-sets
PDE based histogram modification with embedded morphological...
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: G. Cserey C. Rekeczky P. Foldesy Analogical and Neural Computing System Laboratory Computer ond Automarion Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
This paper describes parallel histogram modification techniques with embedded morphological preprocessing methods within the CNN-UM framework. The procedure is formulated in terms of nonlinear partial differential equ... 详细信息
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computing on silicon with trigger waves: Experiments on CNN-UM chips
Computing on silicon with trigger waves: Experiments on CNN-...
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2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001
作者: Rekeczky, Csaba Szatmari, Istvan Foldesy, Peter Analogical and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences Kende U. 13-17 Budapest 1111 Hungary Jedlik Laboratories Department of Information Technology Peter Pazmany Catholic University Szentkirdyi U. 28 Budapest 1088 Hungary
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 wave... 详细信息
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Picture segmentation with introducing an anisotropic preliminary step to an MRF model with cellular neural networks
Picture segmentation with introducing an anisotropic prelimi...
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13th International Conference on Pattern Recognition, ICPR 1996
作者: Szirányi, Tamás Czúni, László Department of Image Processing and Neurocomputing University of Veszprém 8200 Veszprém Egyetem út 10. Hungary Analogical and Neural Computing Laboratory Computer and Automation Institute Hungarian Academy of Sciences Kende u. 13-17 H- 1111 Budapest Hungary
Due to the large computation power needed for Markovian random field (MRF) based image processing, new variations of the basic MRF model are implemented. The transportation of the model to the very fast cellular neura... 详细信息
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Morphological and wave segmentation by cellular neural networks
Morphological and wave segmentation by cellular neural netwo...
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Seminar on neural Network Applications in Electrical Engineering
作者: T. Szabo P. Szolgay Neurocomputing and Image Processing Department University of Veszprém Veszprem Hungary Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Hungary
This paper aims to carry out region-based segmentation in medical images. The main goal is to separate regions with the image features of a stroke, and moreover to develop algorithms for a special type of neural netwo... 详细信息
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Analysis of Multidimensional neural Activity Via CNN-UM
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International Journal of neural Systems 2003年 第6期13卷 479-487页
作者: Gal, Viktor Grun, Sonja Tetzlaff, Ronald Analogical and Neural Computing Laboratory Hungarian Academy of Sciences Computer Automation Research Institute Ldgymdnyosi u. 13 BudapestH-1111 Hungary Dept. Neurophysiology Max Planck Inst for Brain Research Deutschordnerstr. 46 Frankfurt/MainD-60528 Germany Institute for Applied Physics University of Frankfurt Robert-Mayer-Str. 2-4 Frankfurt/MainD-60325 Germany
In this paper we show that the Cellular Nonlinear Network Universal Machine (CNN-UM) is an excellent tool for analyzing time series of multidimensional binary signals. The developed algorithm is dedicated to process e... 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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European Conference on Circuit Theory and Design, ECCTD
作者: A. Zarandy P. Foldesy T. Roska Analogical and Neural Computing Laboratory Hungarian Academy of Sciences and Faculty of Information Technology Pázmány Péter Catholic University 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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Design of analogic CNN algorithms for mammogram analysis
Design of analogic CNN algorithms for mammogram analysis
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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)
作者: A. Zarandy T. Roska G. Liszka J. Hegyesi L. Kek C. Rekeczky Analogical and Neural computing Laboratory Hitachi Micro-computer Engineer Budapest Hungary Department of Diagnostic Radiology National Institute of Oncology Budapest Hungary
CNN analogic algorithms were developed for detecting the features of breast cancer on X-ray mammograms.
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Trainable post-processing method to reduce false alarms in the detection of small blotches of archive films
Trainable post-processing method to reduce false alarms in t...
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IEEE International Conference on Image Processing
作者: A. Licsar L. Czuni T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogical & Neural Computing Laboratory Hungarian Academy of Sciences (ATOMKI) Budapest Hungary
We have developed a new semi-automatic neural network based method to detect blotches with low false alarm rate on archive films. Blotches can be modeled as temporal intensity discontinuities, hence false detection re... 详细信息
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