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    Chapter and Conference Paper

    Toward global solution to MAP image estimation: Using Common structure of local solutions

    The maximum a posteriori (MAP) principle is often used in image restoration and segmentation to define the optimal solution when both the prior and likelihood distributions are available. MAP estimation is equ...

    Stan Z. Li in Energy Minimization Methods in Computer Vision and Pattern Recognition (1997)

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    Chapter and Conference Paper

    Transductive Learning: Learning Iris Data with Two Labeled Data

    This paper presents two graph-based algorithms for solving the transductive learning problem. Stochastic contraction algorithms with similarity based sampling and normalized similarity based sampling are intro...

    Chun Hung Li, Pong Chi Yuen in Artificial Neural Networks — ICANN 2001 (2001)

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    Chapter and Conference Paper

    Fusing Images with Multiple Focuses Using Support Vector Machines

    Optical lenses, particularly those with long focal lengths, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all the objects in the scene. One app...

    Shutao Li, James T. Kwok, Yaonan Wang in Artificial Neural Networks — ICANN 2002 (2002)

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    Chapter and Conference Paper

    Multi-Class SVM Classifier Based on Pairwise Coupling

    In this paper, a novel structure is proposed to extend standard support vector classifier to multi-class cases. For a K-class classification task, an array of K optimal pairwise coupling classifier (O-PWC) is con...

    Zeyu Li, Shiwei Tang, Shuicheng Yan in Pattern Recognition with Support Vector Machines (2002)

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    Chapter and Conference Paper

    A New Cache Replacement Algorithm in SMO

    In the methods for training Support Vector Machines (SVM), precomputed elements in the Hessian matrix are usually cached in order to avoid recomputation. However, the least-recent-used replacement algorithm th...

    Jianmin Li, Bo Zhang, Fuzong Lin in Pattern Recognition with Support Vector Machines (2002)

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    Chapter and Conference Paper

    Protein Metal Binding Residue Prediction Based on Neural Networks

    It is known that over one-third of protein structures contain metal ions, and they are the necessary elements in life system. Traditionally, structural biologists used to investigate properties of metalloprote...

    Chin-Teng Lin, Ken-Li Lin, Chih-Hsien Yang, I-Fang Chung in Neural Information Processing (2004)

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    Chapter and Conference Paper

    A Partheno-genetic Algorithm for Combinatorial Optimization

    Genetic Algorithms (GA) Using ordinal strings for combinatorial optimization must use special crossover operators such as PMX, OX and CX, instead of general crossover operators. Considering the above deficienc...

    Maojun Li, Shaosheng Fan, An Luo in Neural Information Processing (2004)

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    Chapter and Conference Paper

    A Fast MPEG4 Video Encryption Scheme Based on Chaotic Neural Network

    In this paper, a fast video encryption scheme is proposed, which combines encryption process with MPEG4 encoding. This scheme encrypts video object layers (VOLs) selectively. That is, the motion vectors, subba...

    Shiguo Lian, **sheng Sun, Zhongxin Li, Zhiquan Wang in Neural Information Processing (2004)

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    Chapter and Conference Paper

    A Genetic Algorithm for Solving Portfolio Optimization Problems with Transaction Costs and Minimum Transaction Lots

    A mean-variance model is proposed for portfolio rebalancing optimization problems with transaction costs and minimum transaction lots. The portfolio optimization problems are modeled as a non-smooth nonlinear ...

    Dan Lin, **aoming Li, Minqiang Li in Advances in Natural Computation (2005)

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    Chapter and Conference Paper

    Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions

    This paper presents a simulation of a biological olfactory neural system with a KIII set, which is a high-dimensional chaotic neural network. The KIII set differs from conventional artificial neural networks b...

    Guang Li, Zhenguo Lou, Le Wang, Xu Li, Walter J. Freeman in Advances in Natural Computation (2005)

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    Chapter and Conference Paper

    Data Fusion for Fault Diagnosis Using Dempster-Shafer Theory Based Multi-class SVMs

    The multi-class probability SVM (MPSVM) is designed by training the sigmoid function to map the output of each binary class SVM into a posterior probability, and then combining these learned binary-class PSVMs...

    Zhonghui Hu, Yunze Cai, Ye Li, Yuangui Li, **aoming Xu in Advances in Natural Computation (2005)

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    Chapter and Conference Paper

    3D Polar-Radius Invariant Moments and Structure Moment Invariants

    A novel moment, called 3D polar-radius-invariant-moment, is proposed for the 3D object recognition and classification. Some properties of these new moments including the invariance on translation, scale and ro...

    Zongmin Li, Yuanzhen Zhang, Kunpeng Hou, Hua Li in Advances in Natural Computation (2005)

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    Chapter and Conference Paper

    A SAR Image Despeckling Method Based on Dual Tree Complex Wavelet Transform

    Based on the dual tree complex wavelet transform and edge detection, a SAR image despeckling algorithm is proposed. It can be used to remove white Gauss additive noise (WGAN) too. The DT-CWT has the properties...

    **-li Wang, Li-cheng Jiao in Advances in Intelligent Computing (2005)

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    Chapter and Conference Paper

    A Gradual Training Algorithm of Incremental Support Vector Machine Learning

    Support Vector Machine(SVM) has become a popular tool for learning with large amounts of high dimensional data, but sometimes we prefer to incremental learning algorithms to handle very vast data for training ...

    Jian-Pei Zhang, Zhong-Wei Li, **g Yang, Yuan Li in Advances in Natural Computation (2005)

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    Chapter and Conference Paper

    SVM Regression and Its Application to Image Compression

    This paper proposes a new image compression algorithm which combines SVM regression with wavelet transform. Compression is achieved by using SVM regression to approximate wavelet coefficients. Based on the cha...

    Runhai Jiao, Yuancheng Li, Qingyuan Wang, Bo Li in Advances in Intelligent Computing (2005)

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    Chapter and Conference Paper

    Prediction of Protein Subcellular Locations Using Support Vector Machines

    In this paper,we constructed a data set of rice proteins with known locations from SWISS-PROT,using the Support Vector Machine to predicte the type of a given rice protein by incorporating sequence information...

    Na-na Li, **ao-hui Niu, Feng Shi, Xue-yan Li in Advances in Natural Computation (2005)

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    Chapter and Conference Paper

    An Application of Pattern Recognition Based on Optimized RBF-DDA Neural Networks

    An algorithm of Dynamic Decay Adjustment Radial Basis Function (RBF-DDA) neural networks is presented. It can adaptively get the number of the hidden layer nodes and the center values of data. It resolve the p...

    Guoyou Li, Huiguang Li, Min Dong, Chang** Sun in Advances in Natural Computation (2005)

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    Chapter and Conference Paper

    Semi-active Control for Eccentric Structures with MR Damper by Hybrid Intelligent Algorithm

    In this paper, an application of hybrid intelligent control algorithm to semi-active Control of the MR Damper is presented for engineering structures. The control signal is optimized directly by the μGA approach ...

    Hong-Nan Li, Zhiguo Chang, Jun Li in Advances in Intelligent Computing (2005)

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    Chapter and Conference Paper

    Retrieving Digital Artifacts from Digital Libraries Semantically

    The techniques for organizing and retrieving the artifacts from digital libraries (DLs) semantically are discussed, which include letting the taxonomies and semantic relations work in tandem to index the artif...

    Jun Ma, YingNan Yi, Tian Tian, Yuejun Li in Advances in Intelligent Computing (2005)

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    Chapter and Conference Paper

    An Agent-Based Soft Computing Society with Application in the Management of Establishment of Hydraulic Fracture in Oil Field

    Establishment of Hydraulic Fracture in Oil field is a complicated system. The process of establishment of project involves many departments, which frequently interact each other. In general, The Orient-Object ...

    Fu hua Shang, **ao feng Li, Jian Xu in Advances in Natural Computation (2005)

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