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Immune genetic algorithm for weapon-target assignment problem

Immune genetic algorithm for weapon-target assignment proble...

引用

2007 Workshop on intelligent information technology Application, IITA 2007

作者： Gao, Shang Zhang, Zaiyue Zhang, Xiaoru Cao, Cungen School of Electronics and Information Jiangsu University of Science and Technology Zhenjiang 212003 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)076953063X

An Immune Genetic Algorithm (IGA) is used to solve weapon-target assignment problem (WTA). The used immune system serves as a local search mechanism for genetic algorithm. Besides, in our implementation, a new crossover operator is proposed to preserve good information contained in the chromosome. A comparison of the proposed algorithm with several existing search approaches shows that the IGA outperforms its competitors on all tested WTA problems. © 2007 IEEE.

关键词： Genetic algorithms

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Protein structure superposition by curve moment invariants and iterative closest point

Protein structure superposition by curve moment invariants a...

引用

2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Xu, Dong Li, Hua Gu, Tongjun Key Laboratory of Intelligent Information Processing Key Laboratory of Computer System and Architecture 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)1424411203

Superimpose one protein tertiary structure to another can help to find similarity between them and further identify functional and evolutionary relationships. We first extract invariant features under rigid body transformation for each protein backbone which is represented by alpha-carbons of all the residues. Then, the invariant features are embedded with Iterative Closest Point algorithm for superposition. With several initialized orientations, pairwise alignment can be achieved accurately only by few iterations. Experiments indicate that our proposed algorithm is competitive with several well-known algorithms and with smallest root mean squared distance. © 2007 IEEE.

关键词： Proteins

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RETRACTED ARTICLE: Geometrical issues for representing protein structure

RETRACTED ARTICLE: Geometrical issues for representing prote...

引用

2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Liu, Jianhui Department of Basic Science Beijing University of Agriculture Beijing 102206 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)1424411203;9781424411207

Predicting functional properties of proteins is needed in a number of applications. A protein is represented as an ordered list of amino acids, where each amino acid has a sequence and a structure component (the terms amino acid and residue are used interchangeably). Since functional properties of proteins usually depend on their actual three-dimensional structures in living organisms, the geometrical configuration of amino acids is of great importance. Focusing on this issue, this paper first abstracts the problem based on the analysis of the already existed approaches. Then a formal approach towards the reasonable representation is presented. In particular, the paper shows that two parameters are not adequate for representing the 3D residue sequence structure. © 2007 IEEE.

关键词： Proteins

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EFFICIENT IMAGE CLUSTERING USING A NEW IMAGE DISTANCE

EFFICIENT IMAGE CLUSTERING USING A NEW IMAGE DISTANCE

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： SU-LAN ZHANG QING HE ZHONG-ZHI 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

A new distance for image clustering called Generalized Geodesic Distance (GGD) and an appearance-based image clustering approach called Global Geometric Clustering for Image (GGCI) are *** the traditional distance, GGD takes into account the spatial relationships of ***, it is robust to small perturbation of *** based on GGD uses easily measured local metric information to learn the underlying global geometry of images space, then applies the extended nearest neighbor approach to cluster *** from the usual nearest neighbor approach, GGCI considers the density around the nearest points within manifolds embedded in high dimensional image space, which better reflects the intrinsic geometric structure of *** results suggest that the proposed GGCI approach achieves lower error rates in image clustering.

关键词： Geodesic distance Manifold Image clustering

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The ICT Statistical Machine Translation Systems for IWSLT 2007 4

The ICT Statistical Machine Translation Systems for IWSLT 20...

引用

4th International Workshop on Spoken Language Translation, IWSLT 2007

作者： He, Zhongjun Mi, Haitao Liu, Yang Xiong, Deyi Luo, Weihua Huang, Yun Ren, Zhixiang Lu, Yajuan Liu, Qun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No.6 Kexueyuan South Road Haidian District P.O. Box 2704 Beijing100080 China

In this paper, we give an overview of the ICT statistical machine translation systems for the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT) 2007. In this year’s evaluation, we participated in the Chinese-English transcript translation task, and developed three systems based on different techniques: a formally syntax-based system Bruin, an extended phrase-based system Confucius and a linguistically syntax-based system Lynx. We will describe the models of these three systems, and compare their performance in detail. We set Bruin as our primary system, which ranks 2 among the 15 primary results according to the official evaluation results. © 2007 International Workshop on Spoken Language Translation, IWSLT 2007. All rights reserved.

关键词： Computer aided language translation

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Bearing vibration signal analysis based on chirplet transform

Bearing vibration signal analysis based on chirplet transfor...

引用

2007 8th International Conference on Electronic Measurement and Instruments, ICEMI

作者： Gao, Qingwei Lu, Yixiang Zhao, Yanfei Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Institute of Electronic Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)1424411351

A method based on the fast adaptive chirplet transform is presented for bearing vibration signal analysis. Based on parameters coarse estimation, it converts multi-dimension optimization process to a traditional curve-fitting problem. This method is not only free of cross-term interference, but also maintains good time-frequency resolution. In addition, as a result of fewer inner product calculations are conducted, the computational speed is fast and parameters estimation is more accurate. The experimental results show that the algorithm can efficiently extract the time-frequency characteristics of the fault signals, and the effect is better than other time-frequency methods. Therefore, it is an efficient fault diagnosis method. © 2007 IEEE.

关键词： Vibration analysis

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Urban road network extraction from SAR image

Urban road network extraction from SAR image

引用

MIPPR 2007: Remote Sensing and GIS Data processing and Applications;and Innovative Multispectral technology and Applications

作者： Cheng, Pengxue Hu, Maolin Lab. of Intelligent Computing and Signal Processing Anhui University Hefei Anhui 230039 China Key Laboratory of Wireless Sensor Network and Communication Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China

ISBN: (纸本)9780819469540

In this paper, a technique for the extraction of roads in a high resolution synthetic aperture radar (SAR) image is presented. And a three-step method is developed for the extraction of road network from space borne SAR image: the process of the feature points, road candidate detection and connection. Roads in a high resolution SAR image can be modeled as a homogeneous dark area bounded by two parallel boundaries. Dark areas, which represent the candidate positions for roads, are extracted from the image by a Gaussian probability iteration segmentation. Possible road candidates are further processed using the morphological operators. And the roads are accurately detected by Hough Transform, and the extraction of lines is achieved by searching the peak values in Hough Space. In this process, to detect roads more accurately, post-processing, including noisy dark regions removal and false roads removal is performed. At last, Road candidate connection is carried out hierarchically according to road established models. Finally, the main road network is established from the SAR image successfully. As an example, using the ERS-2SAR image data, automatic detection of main road network in Shanghai Pudong area is presented.

关键词： Feature extraction

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Point matching of two images under large different resolution

Point matching of two images under large different resolutio...

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MIPPR 2007: Automatic Target Recognition and Image Analysis;and Multispectral Image Acquisition

作者： Ruan, Lei Hu, Maolin Lab. of Intelligent Computing and Signal Processing AnHui University Hefei AnHui 230039 China Key Laboratory of Wireless Sensor Network and Communication Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China

ISBN: (纸本)9780819469502

Image matching is the first step in almost any 3D computer vision task, and hence has received extensive attention. In this paper, the problem is addressed from a novel perspective, which is different from the classic stereo matching paradigm. Two images with different resolutions, that is high resolution versus low resolution are matched. Since the high resolution image only corresponds to a small region of the low resolution one, the matching task therefore consists in finding a small region in the low resolution image that can be assigned to the whole high resolution image under the plane similarity transformation, which can be defined by the local area correlation coefficient to match the interest points and rectified by similarity transform. Experiment shows that our matching algorithm can be used for scale changing up to a factor of 6. And it is successful to deal with the point matching between two images under large scale.

关键词： Image matching

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Granular computing in the information Transformation of Pattern Recognition

Granular Computing in the Information Transformation of Patt...

引用

IEEE International Conference on Granular computing (GRC)

作者： Hong Hu Zhongzhi Shi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

In the past decade, many papers about granular computing(GrC) have been published, but the key points about granular computing(GrC) are still unclear. In this paper, we try to find the key points of GrC in the information transformation of the pattern recognition. The information similarity is the main point in the original insight of granular computing (GrC) proposed by Zadeh(1997[1]). Many GrC researches are based on equivalence relation or more generally tolerance relation, equivalence relation or tolerance relation can be described by some distance functions and GrC can be geometrically defined in a framework of multiscale covering, at other hand, the information transformation in the pattern recognition can be abstracted as a topological transformation in a feature information space, so topological theory can be used to study GrC. The key points of GrC are (1) there are two granular computing approaches to change a high dimensional complex distribution domain to a low dimensional and simple domain, (2) these two kind approaches can be used in turn if feature vector itself can be arranged in a granular way.

关键词： Pattern recognition Cognition Humans Artificial intelligence Laboratories information processing Computers Distributed computing Computation theory Computational modeling

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Distributed application integration based on agent grid intelligent platform

Distributed application integration based on agent grid inte...

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2nd International Conference on Innovative computing, information and Control, ICICIC 2007

作者： Wang, Maoguang Shi, Zhongzhi Luo, Jiewen Zeng, Li School of Computer Science and Technology China University of Mining and Technology Xuzhou 221226 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)0769528821

Due to the existence of a large amount of legacy information systems, how to obtain the information and integrate the legacy systems is becoming more and more concerned. This paper introduces the integration pattern based on agent grid. And we propose an agent grid intelligent platform called AGrIP, which can erase information islands and integrate external systems efficiently by encapsulating the distributed application system to agents. AGrIP adopts distributed hierarchical structure, which is capable of integrating external systems to provide the users various services dynamically. AGrIP has proved itself scalable and efficient during the industry projects development and application. © 2007 IEEE.

关键词： intelligent agents

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