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    Chapter and Conference Paper

    A New Weighted ARC-SC Approach for Leaf Image Recognition

    In this paper, we present a novel feature extraction approach for plant leaf image recognition, which applies the arc length information to replace the Euclidean distance in traditional Shape Context (SC) meth...

    Zhi-De Zhi, Rong-**ang Hu in Intelligent Computing Theories and Applications (2012)

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    Chapter and Conference Paper

    Cryptanalysis of Two Dynamic ID-Based Remote User Authentication Schemes for Multi-server Architecture

    In NSS’10, Shao and Chin pointed out that Hsiang and Shih’s dynamic ID-based remote user authentication scheme for multi-server environment has several security flaws and further proposed an improved version w...

    Ding Wang, Chun-guang Ma, De-li Gu, Zhen-shan Cui in Network and System Security (2012)

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    Chapter and Conference Paper

    A Scheduling Method of Maintenance Work Based on Dynamic Priority

    The scheduling problem of maintenance work on the equipment support station influences the support efficiency, especially for a station which repairs a large number of failed items from more than one subordina...

    Ying-wu Peng, De-jun Mao, Wei-yi Chen, Rui Wang in Applied Informatics and Communication (2011)

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    Chapter and Conference Paper

    An Quadtree Coding in E-chart

    With the development of IT and traffic logistics in sea, more function and performance of electronic chart (E-chart) in the navigation is needed. In the meantime, the requirement for high performance E-chart, ...

    Zhong-jie Zhang, **an Wu, De-peng Zhao in Information Computing and Applications (2010)

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    Chapter and Conference Paper

    Application Oriented Semantic Multi-touch Gesture Description Method

    To make multi-touch gestures better fit applications and facilitate the recognition of multi-touch gestures, this paper presents an application oriented semantic multi-touch gesture description method. Multi-t...

    De-xin Wang, Mao-jun Zhang in Advanced Intelligent Computing Theories an… (2010)

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    Chapter and Conference Paper

    A Novel Local Sensitive Frontier Analysis for Feature Extraction

    In this paper, an efficient feature extraction method, named local sensitive frontier analysis (LSFA), is proposed. LSFA tries to find instances near the crossing of the multi-manifold, which are sensitive to ...

    Chao Wang, De-Shuang Huang, Bo Li in Emerging Intelligent Computing Technology … (2009)

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    Chapter and Conference Paper

    Gender Recognition from Gait Using Radon Transform and Relevant Component Analysis

    In this paper, a new method for gender recognition via gait silhouettes is proposed. In the feature extraction process, Radon transform on all the 180 angle degrees is applied to every silhouette to construct ...

    Lei Chen, Yunhong Wang, Yiding Wang in Emerging Intelligent Computing Technology … (2009)

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    Chapter and Conference Paper

    Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus

    The spontaneous in vivo firings of neuron in mouse hippocampus are generally considered as neuronal noise, where there is no any correlation in the inter-spike interval (ISI) sequences. In the present study, w...

    Sheng-Bo Guo, Ying Wang, **ng Yan in Advanced Intelligent Computing Theories an… (2007)

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    Chapter and Conference Paper

    Investment Selection and Risk Management for Insurance Corporation

    The problems related to the investment selection and risk management are very important for the insurance corporation and are considered in this paper. When performing the investment selection and risk managem...

    Yan-Ling Wang, De-Li Yang in Intelligent Data Engineering and Automated… (2006)

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    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

    Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks

    The fusion system designing of multiple classifiers, which is based on the radial basis probabilistic neural network (RBPNN), is discussed in this paper. By means of the proposed design method, the complex str...

    Wen-Bo Zhao, Ming-Yi Zhang, Li-Ming Wang in Intelligent Data Engineering and Automated… (2004)

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    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)

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    Chapter and Conference Paper

    A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns

    This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. This algorithm uses the PCA te...

    Hong-Qiang Wang, De-Shuang Huang, **ng-Ming Zhao in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    A Novel Hybrid GA/SVM System for Protein Sequences Classification

    A novel hybrid genetic algorithm(GA)/Support Vector Machine (SVM) system, which selects features from the protein sequences and trains the SVM classifier simultaneously using a multi-objective genetic algorith...

    **ng-Ming Zhao, De-Shuang Huang in Intelligent Data Engineering and Automated… (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)

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