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2007 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2007), vol.4

作者： LIANG TAO HONG-WEI LI MOEs Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China

The DCT-based real discrete Gabor transform (RDGT) is briefly reviewed in this paper, and then, block time-recursive algorithms for the efficient and fast computation of the RDGT coefficients and for the fast reconstruction of the original signal from the coefficients are developed in both the critical sampling case and the oversampling case. Unified parallel lattice structures for the implementation of the algorithms are studied. Computational complexity analysis and comparison have shown that the proposed algorithms provide a more efficient and faster approach for discrete Gabor transforms as compared to the existing discrete Gabor transform algorithms.

关键词： Discrete cosine transform (DCT) Real discrete Gabor transform (RDGT) Parallel lattice structure Block time-recursive algorithms

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New algorithm of target classification in polarimetric SAR

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Journal of Systems Engineering and Electronics 2008年第2期000卷

作者： Wang Yang Lu Jiaguo Wu Xianliang Wang Yang (Key Lab of Intelligent Computing & Signal Processing of Ministry of Education Anhui Univ. Heifei 230039 P. R. China The 38th Research Inst. China Electronic Technology Corporation Hefei 230031 P. R. China) Lu Jiaguo (The 38th Research Inst. China Electronic Technology Corporation Hefei 230031 P. R. China) Wu Xianliang (Key Lab of Intelligent Computing & Signal Processing of Ministry of Education Anhui Univ. Heifei 230039 P. R. China)

The different approaches used for target decomposition (TD) theory in radar polarimetry are reviewed and three main types of theorems are introduced: those based on Mueller matrix, those using an eigenvector analysis of the coherency matrix, and those employing coherent decomposition of the scattering matrix. Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated success in many fields. A new algorithm of target classification, by combining target decomposition and the support vector machine, is *** conduct the experiment, the polarimetric synthetic aperture radar (SAR) data are used. Experimental results show that it is feasible and efficient to target classification by applying target decomposition to extract scattering mechanisms, and the effects of kernel function and its parameters on the classification efficiency are significant.

关键词： polarimetric synthetic aperture radar target decomposition support vector machine target classifi-cation kernel function.

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Multirracial and R/S analysis of protein structure

Multirracial and R/S analysis of protein structure

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SNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing

作者： Zheng, Tingting Cheng, Jiaxing Mao, Junjun Song, Jie Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China School of Mathematics and Computational Science Anhui University Hefei 230039 China

ISBN: (纸本)0769529097

The spacing distance of amino acids is used to study the relationship between the primary structure and structural classification of large proteins. Rescaled-range (R/S) analysis was adopted to examine long-range correlation property of proteins. And multifractal property is then discussed by the spacing distance of amino acids. A classification of proteins by assigning to each sequence a point in two-dimensional space (Δα, H) is given to construct a phylogenetic tree. This result is shown to be reasonably satisfactory to α + β class. © 2007 IEEE.

关键词： Proteins

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Common substructure extraction of proteins by geometric invariants

Common substructure extraction of proteins by geometric inva...

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10th International Conference on Computer-Aided Design and Computer Graphics

作者： Xu, Dong Li, Hua Gu, Tongjun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Center for Systems Biology Institute of Biophysics Chinese Academy of Sciences Graduate University Chinese Academy of Sciences

ISBN: (纸本)9781424415786

Structure alignment could help to find shape similarities between proteins and guide structure classification and fold recognition. Common substructure detection and extraction are especially important, for which could guide the biologist to discover binding site or active site. We represent each segment of alpha-carbon backbone by using dihedral angles and curve moment invariants. Then, local and global structure alignment could be performed by iterative closest point algorithm. Maximum common substructures between a pair of proteins or within a protein could be found. Active sites also could be detected by the proposed algorithm.

关键词： Proteins

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Learning methods of constructive neural network

Learning methods of constructive neural network

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2007 International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2007

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

ISBN: (纸本)9781615677214

Learning methods of constructive neural network aims to overcome the disadvantages of BP algorithm, which has many advantages such as fast convergent rate, less computation, good fault-tolerant and strong generalization ability, etc. Its structure is constructed step by step in the processing of the data rather than being prescribed in advance. This paper mainly introduces the developing motivations, research status quo and development directions, laying stress on two kinds of constructive learning methods: FP algorithm and covering algorithm. After discussing the construction and basic properties of FP network, we construct an FP network as a general clustering unit, and analyze its main properties. On the base of summarizing covering algorithm we present a general neighborhood covering algorithm and its corresponding network. According to the characteristics of the algorithm we analyze its existing problems and propose the further research orientations.

关键词： Pattern recognition

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Research on THz wave generated by difference-frequency in nonlinear crystal

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Optoelectronics Letters 2007年第6期3卷 470-472页

作者： LIAO Tong-qlng ZHAO Qi-da LI Shu-hong Institute of Modem Optics Nankai University Tianjin 300071China Ministry of Educational Key Laboratory of Intelligent Computing ＆ Signal Processing Anhui University Hefei 230039China School of Science Tianjin Polytechnic University Tianjin 300160 China

THz wave generated by difference-frequency in nonlinear crystal in normal temperature is theoretically studied. The conclifton of phase matching is deduced and an experimental setup is proposed. With this method, THz wave can be generated without rigorous condition and can work continuously for a long period of time in room temperature.

关键词：光源非线性晶体发电光波

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Spectral Correspondence Using Local Similarity Analysis

Spectral Correspondence Using Local Similarity Analysis

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International Conference on Computational Intelligence and Security

作者： Jun Tang Dong Liang Nian Wang Zhao-Hong Jia Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

This paper presents a novel algorithm for point correspondences using graph spectral analysis. Firstly, the correspondence probabilities are computed by using the eigenvectors and eigenvalues of the proximity matrix as well as the method of alternated row and column normalizations. Secondly, local similarity evaluated by shape context is incorporated into our spectral method to refine the results of spectral correspondence via a probabilistic relaxation approach. Experiments on both real-world and synthetic data show that our method possesses comparatively high accuracy.

关键词： signal processing algorithms Eigenvalues and eigenfunctions Matrix decomposition Computational intelligence Spectral analysis Shape Robustness Jitter Security signal analysis

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A Novel Image Content Authentication Algorithm Based on Laplace Spectra Feature

A Novel Image Content Authentication Algorithm Based on Lapl...

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Chinese Control Conference (CCC)

作者： Wanli Lv Yutang Guo Bin Luo Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

A novel image content authentication algorithm based on Laplace spectra was proposed. Outstanding feature points are extracted from the original image and a cipher point is inserted. A relational graph is then built, and the Laplace spectra of the graph are calculated to serve as image features. The Laplace spectra are quantized then embedded into the original image as a watermark. In the authentication step, the Laplace spectra of the authenticating image are calculated and compared with that of the watermark embedded in the authenticating image. If both of the spectra are identical, the image passes the authentication test. Otherwise, the tamper is found. The experimental results show that the proposed authentication algorithm can effectively detect the event and the location when the original image content is tampered viciously.

关键词： Authentication signal processing algorithms Watermarking Computer science education Feature extraction Testing Event detection Cryptography Internet Hafnium

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Parallel Genetic Algorithm for Finding Roots of Complex Functional Equation

Parallel Genetic Algorithm for Finding Roots of Complex Func...

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International Conference on Pervasive computing and Applications (ICPCA)

作者： Feng Liu Xi Chen Zhen Huang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

In this paper, a parallel genetic algorithm for finding all roots of complex functional equation based on Parallel Virtual Machine (PVM) is present, research are made in some technical problems for realizing. We descr... 详细信息

关键词： Genetic algorithms Difference equations Virtual machining Algorithm design and analysis Parallel processing signal processing algorithms Circuits Simulated annealing Laboratories Concurrent computing

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Detecting and locating human eyes in face images based on progressive thresholding

Detecting and locating human eyes in face images based on pr...

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IEEE International Conference on Robotics and Biomimetics

作者： Liang Tao Hua-bin Wang MOE Key Laboratory of Intelligent Computing & Signal Processing Anhui University Hefei Anhui China

ISBN: (纸本)9781424417612;9781424417582;1424417619

Based on geometrical facial features and progressive thresholding, this paper presents a novel algorithm for automatic detection and localization of human eyes in grayscale or color still images with complex background. First of all, a determination criterion of eye location is established by the priori knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented face image is estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2-D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm in runtime and correct localization rate.

关键词： Face detection Humans Eyes Image segmentation Gray-scale Pixel Facial features Skin Face recognition signal processing algorithms

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