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  1. No Access

    Chapter and Conference Paper

    Software Mode Changes for Continuous Motion Tracking

    Robot control in nonlinear and nonstationary run-time environments presents challenges to traditional software methodologies. In particular, robot systems in “open” domains can only be modeled probabilisticall...

    Deepak Karuppiah, Patrick Deegan, Elizeth Araujo, Yunlei Yang… in Self-Adaptive Software (2001)

  2. No Access

    Chapter and Conference Paper

    A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room

    In recent years, distributed computer vision has gained a lot of attention within the computer vision community for applications such as video surveillance and object tracking. The collective information gathe...

    Deepak R. Karuppiah, Zhigang Zhu, Prashant Shenoy… in Computer Vision Systems (2001)

  3. No Access

    Chapter and Conference Paper

    Considering Correlation between Variables to Improve Spatiotemporal Forecasting

    The importance of forecasting cannot be overemphasized in modern environment surveillance applications, including flood control, rainfall analysis, pollution study, nuclear leakage prevention and so on. That i...

    Zhigang Li, Liangang Liu, Margaret H. Dunham in Advances in Knowledge Discovery and Data M… (2003)

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    Chapter and Conference Paper

    STIFF: A Forecasting Framework for SpatioTemporal Data

    Nowadays spatiotemporal forecasting has been drawing more and more attention from academic researchers and industrial practitioners for its promising applicability to complex data containing both spatial and t...

    Zhigang Li, Margaret H. Dunham, Yongqiao **ao in Mining Multimedia and Complex Data (2003)

  5. No Access

    Chapter and Conference Paper

    Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks

    In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These conditions can be directly derived from the ...

    Zhigang Zeng, De-Shuang Huang, Zengfu Wang in Advances in Neural Networks – ISNN 2004 (2004)

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    Chapter and Conference Paper

    Global Convergence of Steepest Descent for Quadratic Functions

    This paper analyzes the effect of momentum on steepest descent training for quadratic performance functions. Some global convergence conditions of the steepest descent algorithm are obtained by directly analyz...

    Zhigang Zeng, De-Shuang Huang, Zengfu Wang in Intelligent Data Engineering and Automated… (2004)

  7. No Access

    Chapter and Conference Paper

    Stability Analysis of Discrete-Time Cellular Neural Networks

    Discrete-time cellular neural networks (DTCNNs) are formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTCNNs with delays based on comparison met...

    Zhigang Zeng, De-Shuang Huang, Zengfu Wang in Advances in Neural Networks – ISNN 2004 (2004)

  8. No Access

    Chapter and Conference Paper

    Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm

    During the pattern recognition using BP neural network, the generalization performance often becomes poor. To improve the generalization performance of BP Network, a novel BP network generalization learning al...

    Daizhi Liu, Renming Wang, **hai Li, Zhigang Liu in Advances in Neural Networks – ISNN 2004 (2004)

  9. No Access

    Chapter and Conference Paper

    Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays

    For the convenience of computer simulation, the discrete-time systems in practice are often considered. In this paper, Discrete-time cellular neural networks (DTCNNs) are formulated and studied in a regime whe...

    Zhigang Zeng, Boshan Chen, Zengfu Wang in Advances in Neural Networks – ISNN 2005 (2005)

  10. No Access

    Chapter and Conference Paper

    Blind Extraction of Singularly Mixed Source Signals

    In this paper, a neural network model and its associate learning rule are developed for sequential blind extraction in the case that the number of observable mixed signals is less than the one of sources. This...

    Zhigang Zeng, Chao** Fu in Advances in Natural Computation (2005)

  11. No Access

    Chapter and Conference Paper

    XML Multimedia Retrieval

    Multimedia XML documents can be viewed as a tree, whose nodes correspond to XML elements, and where multimedia objects are referenced in attributes as external entities. This paper investigates the use of text...

    Zhigang Kong, Mounia Lalmas in String Processing and Information Retrieval (2005)

  12. No Access

    Chapter and Conference Paper

    Gait Recognition Using Independent Component Analysis

    This paper presents a new method for automatic gait recognition using independent component analysis (ICA). Firstly, a simple background subtraction algorithm is introduced to segment the moving figures accura...

    Jiwen Lu, Erhu Zhang, Zhigang Zhang, Yanxue Xue in Advances in Neural Networks – ISNN 2005 (2005)

  13. No Access

    Chapter and Conference Paper

    An Efficient and Divisible Payment Scheme for M-Commerce

    Almost all of the mobile devices have some fixed characters which can be distinguished easily, and also they are so portable that can be taken with yourself, so the mobile device which is used in electronic bu...

    Yong Zhao, Zhen Han, Jiqiang Liu, Zhigang Li in Knowledge-Based Intelligent Information an… (2005)

  14. No Access

    Chapter and Conference Paper

    Active Network Approach for Web Caching

    Web caching is an effective way to save network bandwidth and promote network performance. In traditional network, strong consistency and collaboration mechanism establishment are two major problems. AWC (Acti...

    Zhigang Liao, Zengzhi Li, Tao Zhan, Yan Chen in Advances in Web Intelligence (2005)

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    Chapter and Conference Paper

    Applying Prior Knowledge in the Segmentation of 3D Complex Anatomic Structures

    We address the problem of precise segmentation of 3D complex structure from high-contrast images. Particularly, we focus on the representation and application of prior knowledge in the 3D level set framework. ...

    Hong Shen, Yonggang Shi, Zhigang Peng in Computer Vision for Biomedical Image Applications (2005)

  16. No Access

    Chapter and Conference Paper

    Partially Supervised Classification – Based on Weighted Unlabeled Samples Support Vector Machine

    This paper addresses a new classification technique: partially supervised classification (PSC), which is used to identify a specific land-cover class of interest from a remotely sensed image by using unique tr...

    Zhigang Liu, Wenzhong Shi, Deren Li, Qianqing Qin in Advanced Data Mining and Applications (2005)

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    Chapter and Conference Paper

    Application of Neural Network to Interactive Physical Programming

    A neural network based interactive physical programming approach is proposed in this paper. The approximate model of Pareto surface at a given Pareto design is developed based on neural networks, and a map fro...

    Hongzhong Huang, Zhigang Tian in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    An Algorithm for Best Selection in Semantic Composition of Web Service

    The automation of Web services interoperation can bring advantages to effective B2B collaboration. However, the techniques for Web service composition may still require a lot of manual efforts. For example, ho...

    Juntao Cui, Yiwen Zhu, Ning Gu, Yuwei Zong… in Advances in Web-Age Information Management (2005)

  19. No Access

    Chapter and Conference Paper

    Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates

    In this paper, discrete-time cellular neural networks with one-dimensional space invariant are designed to associative memories. The obtained results enable both heteroassociative and autoassociative memories ...

    Zhigang Zeng, Jun Wang in Advances in Neural Networks - ISNN 2006 (2006)

  20. No Access

    Chapter and Conference Paper

    Fault Data Compression of Power System with Wavelet Neural Network Based on Wavelet Entropy

    Through the analysis of function approximation with wavelet transformation, an adaptive wavelet neural network is introduced in the paper, which is applied in data compression of fault data in power system. In...

    Zhigang Liu, Dabo Zhang in Advances in Neural Networks - ISNN 2006 (2006)

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