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检索条件"机构=Institute of Image processing and Pattern recognition"
1341 条 记 录,以下是1331-1340 订阅
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Visualization methods for neural networks
Visualization methods for neural networks
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International Conference on pattern recognition
作者: H. Bischof A. Pinz W.G. Kropatsch Institute for Automation Department for Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria
The interpretation of neural network behavior is of particular interest in neural network research. Visualization methods provide the necessary means to simultaneously analyze the huge amount of information hidden in ... 详细信息
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Combining pyramidal and fractal image coding
Combining pyramidal and fractal image coding
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International Conference on pattern recognition
作者: W.G. Kropatsch M.A. Neuhauser I.J. Leitgeb H. Bischof Department for Pattern Recognition and Image Processing Institute for Automation Technical University of of Vienna Vienna Austria
Compared with the richness in detail of images generated by iterated function systems, the memory requirement of them is very low. Displaying these images is very time consuming, and currently there is no method publi... 详细信息
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Information fusion in image understanding
Information fusion in image understanding
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International Conference on pattern recognition
作者: A. Pinz R. Bartl Department for Pattern Recognition and Image Processing Institute for Automation Wien Austria Institute for Surveying and Remote Sensing University of Bodenkultur Wien Austria
Computer vision and image understanding processes are not very robust; small changes in exposure parameters or in internal parameters of algorithms can lead to significantly different results. A combination (fusion) o... 详细信息
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SAM investigations of the segregation of sulphur in polycrystalline α-iron
SAM investigations of the segregation of sulphur in polycrys...
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作者: Eisl, M.M. Reichl, B.M. Böhmig, S.D. Störi, H. Institut für Allgemeine Physik University of Technology Vienna Wiedner Hauptstraße 8-10 ViennaA-1040 Austria Institute for Automation Dept. for Pattern Recognition and Image Processing University of Technology Vienna Wiedner Hauptstr. 8-10 ViennaA-1040 Austria
Scanning Auger microscopy (SAM) and AES investigations of the segregation of non-metal impurity atoms (sulphur, nitrogen, carbon and phosphorus) in polycrystalline high-purity (>99.99%) α-iron samples were perform... 详细信息
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Tools for dynamic network structures: GRAPE grammars
Tools for dynamic network structures: GRAPE grammars
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International Joint Conference on Neural Networks (IJCNN)
作者: R. Freund B. Haberstroh H. Bischof Institute for Computer Languages Technical University of of Vienna Vienna Austria Institute for Information Systems Technical University of of Vienna Vienna Austria Institute for Pattern Recognition and Image Processing Technical University of of Vienna Vienna Austria
A theoretical framework based on attributed elementary programmed graph grammars (GRAPE grammars) that turns out to be equally well-suited for describing network dynamics, weight learning algorithms, and topology lear... 详细信息
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A THREE-LAYER ADAPTIVE NETWORK FOR pattern DENSITY ESTIMATION AND CLASSIFICATION
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International Journal of Neural Systems 1991年 第3期2卷 211-220页
作者: Jian-xiong Wu Chorkin Chan Department of Computer Science University of Hong Kong Hong Kong Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University P.R.C
Based on the assumption that most probability densities in real life can be approximated by a mixture of Gaussian densities, we propose here a three-layer adaptive network with each neuron in the lower hidden layer re...
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A new adaptive classified transform coding method (image coding)
A new adaptive classified transform coding method (image cod...
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International Conference on Acoustics, Speech, and Signal processing (ICASSP)
作者: Wen-Jun Zhang Song-Yu Yu Hong-Bin Chen Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China
An efficient discrete cosine transform technique using a new adaptive feature for bandwidth compression is described. Taking account of human visual characteristics and transform coefficient statistics, the higher act... 详细信息
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An improved method for shape from shading
An improved method for shape from shading
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International Conference on pattern recognition
作者: Wenjun Zhang Yuanhua Zhou Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China
An improved method for shape from shading is presented. With introduction of the adaptive attenuated factors, the results of the initial iterations fall into the region of the solution values as much as possible. Simu... 详细信息
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The Del /sup 2/G performance in the presence of noise
The Del /sup 2/G performance in the presence of noise
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International Conference on pattern recognition
作者: Xie Zhaohui Wu Lide Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China
The Laplacian of Gaussian operator, Del /sup 2/G, is very important as an edge detector in the theory of computer vision. The bias of zero-crossing and output signal-to-noise-ratio of Del /sup 2/G under the models of ... 详细信息
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A knowledge-based vision system for identification overlapping objects
A knowledge-based vision system for identification overlappi...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Yang Ming-chien Shi Peng-fei Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China
The intention of this paper is to help bridging the gap between knowledge base and computer vision system. A knowledge-based vision system for identification of overlapping objects is presented. The authors place emph... 详细信息
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