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    Chapter and Conference Paper

    Post-it: Augmented Reality Based Group Recommendation with Item Replacement

    AR shop** has attracted significant attention with the emergence of popular AR applications, e.g., IKEA Place and Nike AR Fit. However, most AR stores merely provide auxiliary information for each user, inst...

    Wei-Pin Wang, Hsi-Wen Chen, De-Nian Yang in Advances in Knowledge Discovery and Data M… (2023)

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    Chapter and Conference Paper

    An Accurate Online Non-rigid Structure from Motion Algorithm

    So far, most existing non-rigid structure from motion (NRSFM) problems are solved by the batch algorithm. In this paper, a more accurate online NRSFM is proposed based on the differential evolution (DE) algori...

    Ya-** Wang, Zhan-Li Sun, Yang Qian in Advanced Intelligent Computing Theories an… (2015)

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    Chapter and Conference Paper

    Design and Analysis of Missile Two-Loop Autopilot with Angle of Attack Feedback

    In order to eliminate the static error of the classic two loop autopilot, the PI compensator is introduced into the control system. To enhance the robustness of two loop autopilot with PI compensator, an angle...

    Jiang Wang, Zhe Yang, De-fu Lin in System Simulation and Scientific Computing (2012)

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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

    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

    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)