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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Xiao-Bo Qu Guo-Fu Xie Jing-Wen Yan Zi-Qian Zhu Ben-Gang Chen Department of Communication Engineering Xiamen University Xiamen China Department of Software Engineering Xiamen University Xiamen China Key Laboratory of Computer Science Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Manufacturing Technology Ministry of Education Shantou China Research Institute of Chinese Radar Electronic Equipment Wuxi China

Nonsubsampled contourlet transform (NSCT) provides flexible multiresolution, anisotropy and directional expansion for images. Compared with the foremost contourlet transform, it is shift-invariant and can overcome the pseudo-Gibbs phenomena around singularities. In addition, coefficients of NSCT are dependent on their neighborhood coefficients in the local window and cousin coefficients in directional subbands. In this paper, region energy and cousin correlation are defined to represent the neighbors and cousins information, respectively. Salience measure, as the combination of region energy and cousin correlation, is defined to obtain fused coefficients in the high-frequency NSCT domain. First, source images are decomposed into subimages via NSCT. Secondly, salience measure is computed. Thirdly, salience measure-maximum-based rule and average rule are employed to obtain high-frequency and low-frequency coefficients, respectively. Finally, fused image is reconstructed by inverse NSCT. Experimental results show that the proposed algorithm outperforms wavelet-based fusion algorithms and contourlet transform-based fusion algorithms.

关键词： Image fusion Wavelet transforms Filter bank Wavelet analysis Wavelet domain Image analysis Pattern analysis Pattern recognition Laboratories

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Feature selection for high dimensional face image using self-organizing maps

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9th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2005

作者： Tan, Xiaoyang Chen, Songcan Zhou, Zhi-Hua Zhang, Fuyan National Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Computer Science and Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai 200433 China

ISBN: (纸本)3540260765

While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into lower dimensional space. In this paper, a new method is proposed to transform the high dimensional face images into low-dimensional SOM topological space, and then identify important local features of face images for face recognition automatically using simple statistics computed from the class distribution of the face image data. The effectiveness of the proposed method are demonstrated by the experiments on AR face databases, which reveal that up to 80% local features can be pruned with only slightly loss of the classification accuracy. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image processing

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A general framework of targeted marketing 1

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Third International Atlantic Web Intelligence Conference on Advances in Web Intelligence, AWIC 2005

作者： Huang, Jiajin Zhong, Ning Yao, Y.Y. Liu, Chunnian Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory College of Computer Science and Technology Beijing University of Technology 100022 Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi-City 371-0816 Japan Department of Computer Science University of Regina Regina Sask. S4S 0A2 Canada

ISBN: (数字)9783540319009

ISBN: (纸本)3540262199

In this paper, inspired by a unified probabilistic model of information retrieval, we propose a general framework of targeted marketing by considering three types of information, namely, the customer profiles, the product profiles, and the transaction databases. The notion of market value functions is introduced, which measure the potential value or profit of marketing a product to a customer. Four sub-models are examined for the estimation of a market value function. Based on market value functions, two targeted marketing strategies, namely, customer-oriented targeted marketing and product-oriented targeted marketing, are suggested. This paper focuses on the conceptual development of the framework. The detailed computation of a market value function and the evaluation of the proposed framework will be reported in another paper. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Information retrieval

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A mobile agent-based P2P Autonomous Security Hole Discovery system

A mobile agent-based P2P Autonomous Security Hole Discovery ...

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First International Conference on Natural Computation, ICNC 2005

作者： Zheng, Ji Wang, Xin Xue, Xiangyang Toh, C.K. Software School Fudan University Shanghai 200433 China Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai 200433 China Department of Computer Science and Engineering Fudan University Shanghai 200433 China Dept. of Electronic Engineering Queen Mary University of London United Kingdom

A general or agent-based security system is usually constructed hierarchically and has a central manager acting as head of the whole system. However, the manager becomes a bottleneck for being connected by each client. It can even overload when too many clients request service simultaneously. The whole system may collapse when the central manager is attacked. And these systems are passive to detect and deal with the secure problem. Hereby we present a mobile agent-based P2P Autonomous Security Hole Discovery system (PASHD). It can detect infection and network intrusion based on knowledge of the local host. Viruses will be removed and connection will be refused after identification. In case of a suspicious activity, PASHD initiates a voting approach to make a collective decision and take further action. This system acts self-learning when encountering intrusion or infection with new patterns. And it has the capability of autonomous discovery the security hole of hosts in network. The integration of peer-to-peer behavior with mobile agents reduces latency and load;however, flexibility, effectivity, security and cooperation of the system are enhanced. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Hierarchical systems

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Investigating manifold learning algorithms based on magnification factors and principal spread directions

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Jisuanji Xuebao/Chinese Journal of computers 2005年第12期28卷 2000-2009页

作者： He, Li Zhang, Jun-Ping Zhou, Zhi-Hua Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences Shanghai 200433 China Department of Computer Science and Engineering School of Mathematical Sciences Fudan University Shanghai 200433 China National Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China

As a new unsupervised learning technique, manifold learning has captured the attention of many researchers in the field of machine learning and cognitive sciences. The major algorithms include Isometric mapping (ISOMAP) and Locally Linear Embedding (LLE). The approaches can be used for discovering the intrinsic dimensions of nonlinear high-dimensional data effectively and aim researchers to analyze the data better. How to quantitatively analyze the relationship between the intrinsic dimensions and the observation space, however, has fewer reports. And thus further works in manifold learning may have suffered some difficulties. The paper focuses on two kinds of manifold learning algorithms (ISOMAP, LLE), and discusses magnification factors and principal spread directions from the observation space to the intrinsic low-dimensional space. Also the corresponding algorithm is proposed. Experiments show the effectiveness and advantages of the research.

关键词： Learning algorithms

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An improved Bayesian networks learning algorithm based on independence test and MDL scoring

An improved Bayesian networks learning algorithm based on in...

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Proceedings of the International Conference on Active Media Technology, AMT

作者： Junzhong Ji Jing Yan Chunnian Liu N. Zhong College of Computer Science and Technology Beijing University of Technology Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi-City Japan

In recent years, more and more people studied the Bayesian networks learning algorithm that integrates independence test with scoring metric. Based on the proposed hybrid algorithm I-B&B-MDL, a modified method is developed. There are two major contributions. Firstly, order-0 and partial order-1 independence tests are used to obtain an original graph of the network, which reduces the number of independence tests and database passes while effectively restricting the search space. Secondly, by means of the heuristic knowledge of mutual information, sort order for candidate parent nodes increases the cut-offs of the B&B search tree and accelerates search process. The experimental results show that the modified algorithm has high accuracy, and is more efficient in time complexity than other algorithms.

关键词： Bayesian methods Knowledge representation Iterative algorithms software testing Probability distribution Data mining Space technology Educational institutions computer science Laboratories

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Predictors of success in diagrammatic problem solving

Predictors of success in diagrammatic problem solving

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3rd International Conference on Diagrammatic Representation and Inference, Diagrams 2004

作者： Yoon, Daesub Narayanan, N. Hari Intelligent and Interactive Systems Laboratory Department of Computer Science and Software Engineering Auburn University AuburnAL36849 United States

ISBN: (纸本)354021268X

We conducted an eye-tracking study of mechanical problem solving from cross-sectional diagrams of devices. Response time, accuracy and eye movement data were collected and analyzed for 72 problem-solving episodes (9 subjects solving 8 problems each). Results indicate that longer response times and visually attending to more components of a device do not necessarily lead to increased accuracy. However, more focus shifts, visually attending to components in the order of causal propagation, and longer durations of visual attention allocated to critical components of the devices appear to be characteristics that separate successful problem solvers from unsuccessful ones. These findings throw light on effective diagrammatic reasoning strategies, provide empirical support to a cognitive model of comprehension, and suggest ideas for the design of information displays that support causal reasoning. © 2004, Springer-Verlag Berlin Heidelberg, All rights Reserved.

关键词： Problem solving

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Towards reuse in agent oriented information systems: The importance of being purposive 5th

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5th International Bi-Conference Workshop on agent-Oriented Information Systems, AOIS 2003

作者： Gos, Simon Heinz, Clint Papasimeon, Michael Pearce, Adrian Sterling, Leon ntelligent Agent Laboratory Department of Computer Science and Software Engineering The University of Melbourne ParkvilleVIC3010 Australia Air Operations Division System Sciences Laboratory Defence Science and Technology Organisation 506 Lorimer Street Fishermans BendVIC3207 Australia

ISBN: (纸本)3540221271

The emergence of large information systems has pushed software specification into the area of business modelling to adequately capture and consider business requirements. At the same time, there has been a move toward techniques for specifying the behaviours of and the knowledge associated with intelligent agents as these are increasingly found as important components of those information systems. This paper presents four software models useful for specifying the requirements of an agent oriented information system. Adopting a similar notation for each model smooths the transition between models. It will be shown that it is in the relationships between these models there is scope for capturing purposive descriptions that facilitate reuse at various levels. A commentary on the importance of an explicit representation of the purpose for which a software component is intended is provided followed by an example, from the domain of military simulation, that illustrates the model and its application. The aim of this paper is to present a modelling approach that unifies business models, use case models, agent behavioural models and domain models, for the purpose of specifying an agent oriented information system. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Information systems

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Relational peculiarity oriented data mining

Relational peculiarity oriented data mining

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Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004

作者： Zhong, Ning Liu, Chunnian Yao, Y.Y. Ohshima, Muneaki Huang, Mingxin Huang, Jiajin Department of Information Engineering Maebashi Institute of Technology 460-1 Kamisadori-Cho Maebashi 371-0816 Japan Computer Science College Beijing University of Technology Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing 100022 China Department of Computer Science University of Regina Regina Sask. S4S 0A2 Canada

ISBN: (纸本)0769521428

Peculiarity rules are a new type of interesting rules which can be discovered by searching the relevance among peculiar data. A main task of mining peculiarity rules is the identification of peculiarity. Traditional methods of finding peculiar data are attribute-based approaches. This paper extends peculiarity oriented mining to relational peculiarity oriented mining. Peculiar data are identified on record level, and peculiar rules are mined and explained in a relational mining framework. The results from preliminary experiments show that relational peculiarity oriented mining is very effective. © 2004 IEEE.

关键词： Data mining

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Relational peculiarity oriented data mining

Relational peculiarity oriented data mining

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IEEE International Conference on Data Mining (ICDM)

作者： Ning Zhong Chunnian Liu Y.Y. Yao M. Ohshima Mingxin Huang Jiajin Huang Department of Information Engineering Maebashi Institute of Technology Maebashi Japan The Computer Science College Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina Regina SAS Canada

关键词： Data mining Relational databases computer science Logic programming Learning systems Data engineering Educational institutions Laboratories Brain modeling Image databases

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