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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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Quotient space approachability basing on measure space and fusion model of weighted graphical structure

Quotient space approachability basing on measure space and f...

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IEEE International Conference on Granular computing (GRC)

作者： HongBin Fang Ling Zhang Department of Mathmatics Anhui University Hefei China Department of Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Institute of Artifical Intelligence Anhui University Hefei China

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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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Automatic Recognition of Noisy Code-39 Barcode

Automatic Recognition of Noisy Code-39 Barcode

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International Conference on Artificial Reality and Telexistence (ICAT)

作者： Xianyong Fang Fuli Wu Bin Luo Haifeng Zhao Peng Wang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China College of Information Engineering Zhejiang University of Technology China Motorola China Electronics Limited Corporation China

Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images.

关键词： Decoding Bars Image edge detection Robustness Equations Low pass filters signal processing educational institutions educational technology Image recognition

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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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International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on intelligent Agents, Web Technologies and Internet Commerce

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

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.

关键词： Hidden Markov models Laboratories Artificial intelligence signal analysis Finance signal processing Computer science education Space technology Computational intelligence Economic forecasting

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Joint Detection of Frequency Offset and MAI for MC-CDMA Systems

Joint Detection of Frequency Offset and MAI for MC-CDMA Syst...

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International Conference on Communication Technology (ICCT)

作者： Yanjun Hu Azzedine Boukerche Key Laboratory o Intelligent Computation and Signal Processing Ministry of Education Anhui University Hefei Anhui China PARADISE Research Laboratory SITE University of Ottawa ONT Canada

Multi-carrier (MC) CDMA technique can reduce the interference and improve the performance of the system in fading channel. But the frequency offset and multiple access interference (MAI) are obstructive to its performance. In this paper, combining the PIC multiuser detection and frequency offset estimation based on maximum likelihood function guard interval, we propose a joint detection which called M-ML-MPIC (modified maximum likelihood multistage parallel interference canceller) to correction the frequency offset and MAI simultaneously. The numerical results of the performance analysis and comparisons of conventional schemes with the proposed method are given.

关键词： Multicarrier code division multiple access Multiple access interference Frequency estimation Maximum likelihood detection Maximum likelihood estimation Multiaccess communication Fading Multiuser detection Interference cancellation Performance analysis

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LPP/QR for under-sampled image recognition

LPP/QR for under-sampled image recognition

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Chen, Si-Bao Zhao, Hai-Feng Luo, Bin Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)078039092X

In this paper, we propose a dimension reduction method of locality preserving projections based on QR-decomposition of training data matrix, namely LPP/QR. It is efficient and effective in under-sampled recognition of image and text data, especially when the number of dimension of data is greater than the number of training samples. Its theoretical foundation is presented. The equivalence between LPP/QR and generalized LPP is induced although LPP/QR is faster than generalized LPP. Several experiments are conducted on Yale face database. High recognition rates show that the algorithm performs better in under-sampled situations. ©2005 IEEE.

关键词： Pattern recognition

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Generalizing quotient space theory from structural viewpoint

Generalizing quotient space theory from structural viewpoint

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2005 IEEE International Conference on Granular computing

作者： Chen, Wan L. Cheng, Jia X. Key Lab. of Intelligent Computing and Signal Processing Ministry of Education AnHui University HeiFei 230039 AnHui China

ISBN: (纸本)0780390172

Quotient space theory of problem solving, a formal model of granular computing, is generalized in the sense that topological structure is replaced by Cech's closure space. Some basic issues of granular computing, such as the representation of real world at different levels of granularity, property preserving and the construction of granular world, are discussed in detail. It turns out that most of conclusions of the classical quotient space theory keep being valid, so intension and applicable fields are enriched and enlarged respectively. © 2005 IEEE.

关键词： Problem solving

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The quotient structure in granule computing

The quotient structure in granule computing

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2005 IEEE International Conference on Granular computing

作者： Zhao, Shu Zhang, Yan-Ping Zhang, Ling Chen, Jie Wan, Zhong Zhang, Ying-Chun Zhang, Chen-Xi Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 Institute of Artificial Intelligence Anhui University Hefei 230039

ISBN: (纸本)0780390172

The theory of granule computing based on the quotient space is one of the three main granule computing theories. The emphasis is on the structure of the quotient space theory in this paper. Comparing with Rough Set theory, the authors point out the importance of the structure in granule computing theory. A new method of constructing quotient space according to the structure is also presented in this paper. The differences between the quotient structure and structure-based method are proved. Finally, some examples show the rationality and feasibility of our methods. © 2005 IEEE.

关键词： Data processing

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Simulation study of phase retrieval for hard X-ray in-line phase contrast imaging

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Science China(Physics,Mechanics & Astronomy) 2005年第4期48卷 450-458页

作者： YU Bin1,2, PENG Xiang1,2, TIAN Jindong1, NIU Hanben1, DIAO Luhong3 & LI Hua3 1. key laboratory of Optoelectronic Devices and Systems of ministry of education, Institute of Optoelec- tronics, Shenzhen University, Shenzhen 518060, China 2. State key laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072,China 3. key laboratory of intelligent Information processing, Institute of computing Technology, Chinese Academy of Sciences, Beijing 100080,China 1. Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education Institute of Optoelectronics Shenzhen University 518060 Shenzhen China 2. State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University 300072 Tianjin China 3. Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100080 Beijing China

Two algorithms for the phase retrieval of hard X-ray in-line phase contrast imaging are presented. One is referred to as Iterative Angular Spectrum Algorithm (IASA) and the other is a hybrid algorithm that combines IASA with TIE (transport of intensity equation). The calculations of the algorithms are based on free space propagation of the angular spectrum. The new approaches are demonstrated with numerical simulations. Comparisons with other phase retrieval algorithms are also performed. It is shown that the phase retrieval method combining the IASA and TIE is a promising technique for the application of hard X-ray phase contrast imaging.

关键词： X-ray optics, phase contrast imaging, phase retrieval, angular spectrum, hard X-ray.

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