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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Sulan Zhang Chunqi Shi Zhiyong Zhang Zhongzhi Shi Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of

ISBN: (纸本)9781424404759

We propose two geometric structure based approaches GGCI (global geometric clustering for image) and GSIM (geometric structure based image matching) for image clustering and image matching, respectively. For face images or object images taken with varying factors, the GGCI approach learns the global geometric structure of images space and clusters images based on geodesic distance instead of Euclidean distance and the extended nearest neighbor approach. The GSIM approach uses the minimal Euclidean distance between parts of image and the pattern and its variations as matching criteria and threshold strategy for image matching. We demonstrate experimentally that the GGCI approach achieves lower error rates and the GSIM approach brings down the sensitivity of gray values to change in radiometry and reduces multi local extrema to some extent.

关键词： geometric structure perception geodesic distance image clustering image matching.

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Shape Edit Distance on Contour based Shapes

Shape Edit Distance on Contour based Shapes

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International Conference on intelligent Systems Design and Applications (ISDA)

作者： Chunyan Zhang Jin Tang Bin Luo Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei Anhui China

We present a new distance for the contour-based shapes recognition which we called shape edit distance (SED). Unlike the traditional distance, SED takes into account the spatial deformation of shapes. To compute the shape edit distance, we convert shapes to string sequences so that string matching techniques can be used. We pose the problem of string matching as a maximum a posteriori probability (MAP) alignment of the string sequences for shapes and compute the shape edit distance by finding the sequence of string edit operations which minimizes the cost of the path traversing the edit lattice. Experiments demonstrate the utility of the shape edit distance on a number of image retrieval and clustering problems

关键词： Shape measurement Costs Discrete Fourier transforms Lattices Humans Feature extraction Fourier transforms Frequency signal processing Image retrieval

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An novel algorithm for blind source separation with unknown sources number

An novel algorithm for blind source separation with unknown ...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Ye, Ji-Min Lou, Shun-Tian Jin, Hai-Hong Zhang, Xian-Da Key Lab for Radar Signal Processing Xidian University Xi'an 710071 China School of Science Xi'an Petroleum University Xi'an 710071 China Department of Automation State Key Lab of Intelligent Technology and Systems Tsinghua University Beijing 100084 China

ISBN: (纸本)354034439X

The natural gradient blind source separation (BSS) algorithm with unknown source number proposed by Cichocki in 1999 is justified in this paper. An new method to detect the redundant separated signals based on structure of separating matrix is proposed, by embedding it into the natural gradient algorithm, an novel BSS algorithm with an unknown source number is developed. The novel algorithm can successfully separate source signals and converge stably, while the Cichocki's algorithm would diverge inevitably. The new method embedded in novel algorithm can detect and cancel the redundant separated signals within 320 iteration, which is far quicker than the method based on the decorrelation, if some parameters are chosen properly. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Algorithms

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Bayesian-based Wavelet Shrinkage for SAR Image Despeckling Using Cycle Spinning

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Journal of Electronic Science and Technology of China 2006年第2期4卷 127-131页

作者：张德祥高清维陈军宁 Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China School of Electronic Science and Technology Anhui University Hefei 230039 China

A novel and efficient speckle noise reduction algorithm based on Bayesian wavelet shrinkage using cycle spinning is proposed. First, the sub-band decompositions of non-logarithmically transformed SAR images are shown. Then, a Bayesian wavelet shrinkage factor is applied to the decomposed data to estimate noise-free wavelet coefficients. The method is based on the Mixture Gaussian Distributed （MGD） modeling of sub-band coefficients. Finally, multi-resolution wavelet coefficients are reconstructed by wavelet-threshold using cycle spinning. Experimental results show that the proposed despeclding algorithm is possible to achieve an excellent balance between suppresses speckle effectively and preserves as many image details and sharpness as possible. The new method indicated its higher performance than the other speckle noise reduction techniques and minimizing the effect of pseudo-Gibbs phenomena.

关键词： discrete wavelet transform Synthetic Aperture Radar （SAR） despeclding cycle spinning BayesShrink

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A Novel Approch for Clustering of Chinese Text Based on Concept Hierarchy

A Novel Approch for Clustering of Chinese Text Based on Conc...

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IEEE International Conference on Cognitive Informatics

作者： Peng Zhao Huan-Tong Geng Qing-Sheng Cai University of Science and Technology Hefei China Key Lab. Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei China

After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic classify dictionary as background knowledge to clustering of Chinese text. It adopts a hierarchical coding system which reflects concept relevance among different words and uses vector space model based on concept hierarchy to represent Chinese text. The experimental results show this approach is more effective than traditional text clustering method based on keywords set

关键词： Dictionaries Space technology Clustering methods Documentation Text mining Clustering algorithms Frequency Computer science signal processing signal analysis

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Strong Convergence of Empirical Distribution for a Class of Random Matrices

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Chinese Quarterly Journal of Mathematics 2006年第1期21卷 28-32页

作者： LIANG Qing-wen MIAO Bai-qi WANG Da-peng Department of Statistics and Finance University of Science and Technology of China Hefei 230026 China Key Lab of intelligent Computing and Signal Processing of the Ministry of Education AnhuiUniversity Hefei 230026 China

Let {vij}, i, j = 1, 2, …, be i.i.d, random variables with Ev11 = 0, Ev11^2 = 1 and a1 = （ai1,…, aiM） be random vectors with {aij} being i.i.d, random variables. Define XN =（x1,…, xk） and SN =XNXN^T,where xi=ai×si and si=1/√N（v1i,…, vN,i）^T. The spectral distribution of SN is proven to converge, with probability one, to a nonrandom distribution function under mild conditions.

关键词： empirical spectral distribution function sample covariance matrix Stieltjes transform strong convergence

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Granular analysis of time sequence based on quotient space

Granular analysis of time sequence based on quotient space

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CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on intelligent Agents Web Technologies and International Commerce

作者： Zhao, Liquan Zhang, Ling Zhang, Bo Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing 210003 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Artificial Intelligence Institute Anhui University Hefei 230039 China Computer Science Department Tsinghua University Beijing 100084 China

ISBN: (纸本)0769527310

This paper aims to carry out granular analysis of time sequence based on quotient space. Granular methods have long before been adopted to analyze time sequence, but the granularity was based on time, for example, day mean, month mean, year mean and so on in finance forecast. In this paper, the granularity is based on space and some significant results are obtained: we can, in certain circumstances, get characteristics of time sequence in an original space when carrying out granular analysis of it in its coarser-grain space;granular analysis of a Markov chain is equivalent to an hidden Markov model (HMM), contrarily, any HMM is equivalent to granular analysis of a Markov chain. These results deepened our understanding of HMM from the perspective of granular analysis. We can not only use the methods of HMM to study time sequence, but also use the methods of granular analysis based on quotient space theory to solve the problems of HMM. © 2006 IEEE.

关键词： intelligent agents

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Research in Quotient Space Theory Based on Structure

Research in Quotient Space Theory Based on Structure

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Liquan ZHAO Ling ZHANG Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui Universi

ISBN: (纸本)9781424404759

The quotient space theory is indented to study the relationship of transform and that of dependency among the worlds with different grain-size. Compared-with other granule computing tools, it has more powerful abilities of representation and absorption. The reason is that structure is introduced in its model The paper is to study the quotient space theory based on structure. We first introduce some methods of constructing quotient structure. Then we study in detail the quotient space family based on structure, and get some good results for further research. Finally we also briefly discuss hierarchical structure of fuzzy sets.

关键词： quotient space granule computing fuzzy set rough set hierarchical structure.

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A Public Mesh Watermarking Algorithm Based on Addition Property of Fourier Transform

A Public Mesh Watermarking Algorithm Based on Addition Prope...

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作者： Li, L.I. Pan, Zhigeng Zhang, David Computer Department Hangzhou Dianzi University Hangzhou310018 China State Key Lab of CADandCG Zhejiang University Hangzhou310027 China Center for Multimedia Signal Processing Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong Hong Kong

This paper presents a public mesh watermarking algorithm whereby the resultant watermarked image minus the original image is the watermark information. According to the addition property of the Fourier transform, a change of spatial domain will cause a change in the frequency domain. The watermark information is then scaled down and embedded in one part of the x-coordinate of the original mesh. Finally, the x-coordinate of the test mesh is amplified before extraction. Experimental results prove that our algorithm is resistant to a variety of attacks without the need for any preprocessing. © 2006 World Scientific Publishing Company.

关键词： Fourier transforms

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The Algebraic computing Structure of Four DNA Bases

The Algebraic Computing Structure of Four DNA Bases

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Ping Zhu Xuqing Tang Zhenyuan Xu Weihong Guan School of Science Southern Yangtze University Wuxi China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

In this paper, we offers a new algebraic point of view for DNA molecules and introduce the algebraic system by using the natural operation based on the Sigma = {A, C, G, T} . We characterize its structure by using the algebraic theory. We show that (L, oplus, otimes ) is the distribution lattice of rings with identical element. Furthermore,we generalize this result to the Wrho(V) , a set which elements simulates the DNA molecules with sticky ends, the element is called an incomplete double stranded molecules consist of mixed DNA molecules with double and single strands.

关键词： DNA computing Lattices laboratories intelligent structures signal processing Computational modeling Sequences Biochemistry Biological materials Genetics

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