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    Chapter and Conference Paper

    Extension of lower probabilities and coherence of belief measures

    Coherence is an important concept which is introduced and discussed in a new mathematics branch, Imprecise Probability Theory. By using the Choquet integral, belief measures can be extended to be coherent lowe...

    Zhenyuan Wang, Wei Wang in Advances in Intelligent Computing — IPMU '94 (1995)

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    Chapter and Conference Paper

    Extract Frequent Pattern from Simple Graph Data

    Mining the frequent pattern from data set is one of the key success stories of data mining research. Currently, most of the efforts are focused on the independent data such as the items in the marketing basket...

    Qingqing Yuan, Yubo Lou, Haofeng Zhou in Advances in Web-Age Information Management (2002)

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    Chapter and Conference Paper

    Theoretical Analysis of Simple Evolution Strategies in Quickly Changing Environments

    Evolutionary algorithms applied to dynamic optimization problems has become a promising research area. So far, all papers in the area have assumed that the environment changes only between generations. In this pa...

    Jürgen Branke, Wei Wang in Genetic and Evolutionary Computation — GECCO 2003 (2003)

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    Chapter and Conference Paper

    An Efficient Algorithm of Frequent Connected Subgraph Extraction

    Mining frequent patterns from datasets is one of the key success stories of data mining research. Currently, most of the works focus on independent data, such as the items in the marketing basket. However, the...

    Mingsheng Hong, Haofeng Zhou, Wei Wang in Advances in Knowledge Discovery and Data M… (2003)

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    Chapter and Conference Paper

    Enhanced Active Shape Models with Global Texture Constraints for Image Analysis

    Active Shape Model (ASM) has been widely recognized as one of the best methods for image understanding. In this paper, we propose to enhance ASMs by introducing global texture constraints expressed by its reco...

    Shiguang Shan, Wen Gao, Wei Wang, Debin Zhao in Foundations of Intelligent Systems (2003)

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    Chapter and Conference Paper

    Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites

    We investigate the problem of wrapper adaptation which aims at adapting a previously learned wrapper to an unseen target site. To achieve this goal, we make use of extraction rules previously discovered from a...

    Tak-Lam Wong, Wai Lam, Wei Wang in Intelligent Data Engineering and Automated Learning (2003)

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    Chapter and Conference Paper

    Visual Search in Alzheimer’s Disease — fMRI Study

    The aim was to investigate the neural basis of visual attention deficits in Alzheimer’s disease (AD) patients using functional MRI. Thirteen AD patients and 13 age-matched controls participated in the experime...

    **g Hao, Kun-cheng Li, Ke Li, De-xuan Zhang in Medical Imaging and Augmented Reality (2004)

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    Chapter and Conference Paper

    Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining

    Mining frequent tree patterns is an important research problems with broad applications in bioinformatics, digital library, e-commerce, and so on. Previous studies highly suggested that pattern-growth methods ...

    Chen Wang, Mingsheng Hong, Jian Pei in Advances in Knowledge Discovery and Data M… (2004)

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    Chapter and Conference Paper

    Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees

    Approximate range aggregate queries are one of the most frequent and useful kinds of queries for Decision Support Systems (DSS). Traditionally, sampling- based techniques have been proposed to tackle this prob...

    Alfredo Cuzzocrea, Wei Wang, Ugo Matrangolo in Data Warehousing and Knowledge Discovery (2004)

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    Chapter and Conference Paper

    Modeling Dynamic System by Recurrent Neural Network with State Variables

    A study is performed to investigate the state evolution of a kind of recurrent neural network. The state variable in the neural system summarize the information of external excitation and initial state, and de...

    Min Han, Zhiwei Shi, Wei Wang in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    A Novel Individual Blood Glucose Control Model Based on Mixture of Experts Neural Networks

    An individual blood glucose control model (IBGCM) based on the Mixture of Experts (MOE) neural networks algorithm was designed to improve the diabetic care. MOE was first time used to integrate multiple indivi...

    Wei Wang, Zheng-Zhong Bian, Lan-Feng Yan in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    A Novel Intrusion Detection Method Based on Principle Component Analysis in Computer Security

    Intrusion detection is an important technique in the defense-in-depth network security framework and a hot topic in computer security in recent years. In this paper, a new intrusion detection method based on P...

    Wei Wang, **aohong Guan, **angliang Zhang in Advances in Neural Networks - ISNN 2004 (2004)

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    Chapter and Conference Paper

    GiSA: A Grid System for Genome Sequences Assembly

    Sequencing genomes is a fundamental aspect of biological research. Shotgun sequencing, since introduced by Sanger et al [2], has remained the mainstay in the research field of genome sequence assembly. This me...

    Jun Tang, Dong Huang, Chen Wang, Wei Wang, Baile Shi in Conceptual Modeling – ER 2004 (2004)

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    Chapter and Conference Paper

    A Novel Approach to Ocular Image Enhancement with Diffusion and Parallel AOS Algorithm

    This paper suggests a new diffusion method, which based on modified coherence diffusion for the enhancement of ocular fundus images (OFI) and parallel AOS scheme is applied to speed algorithm, which is faster ...

    Lanfeng Yan, Janjun Ma, Wei Wang, Qing Liu in Advances in Intelligent Computing (2005)

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    Chapter and Conference Paper

    Subgraph Join: Efficient Processing Subgraph Queries on Graph-Structured XML Document

    The information in many applications can be naturally represented as graph-structured XML document. Structural query on graph structured XML document matches the subgraph of graph structured XML document on so...

    Hongzhi Wang, Wei Wang, Xuemin Lin in Advances in Web-Age Information Management (2005)

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    Chapter and Conference Paper

    Pneumatic Climbing Robots for Glass Wall Cleaning

    Recently various robots have been designed for wall cleaning and maintenance. There are three kinds of kinematics for the motion on smooth vertical surfaces: multiple legs, a sliding frame and a wheeled and ch...

    Houxiang Zhang, Jianwei Zhang, Rong Liu, Wei Wang in Climbing and Walking Robots (2005)

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    Chapter and Conference Paper

    ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes

    In many fields and applications, it is critical for users to make decisions through OLAP queries. How to promote accuracy and efficiency while answering multiple aggregate queries, e.g. COUNT, SUM, AVG, MAX, M...

    Tianyi Wu, Jian Xu, Chen Wang, Wei Wang in Advances in Knowledge Discovery and Data M… (2005)

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    Chapter and Conference Paper

    Grid-ODF: Detecting Outliers Effectively and Efficiently in Large Multi-dimensional Databases

    In this paper, we will propose a novel outlier mining algorithm, called Grid-ODF, that takes into account both the local and global perspectives of outliers for effective detection. The notion ofOutlying Degree F...

    Wei Wang, Ji Zhang, Hai Wang in Computational Intelligence and Security (2005)

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    Chapter and Conference Paper

    Locating Human Eyes Using Edge and Intensity Information

    In this paper, a new eye detection method is presented. The method consists of three steps: (1) extraction of binary edge image (BEI) based on the multi-resolution analysis of wavelet transform; (2) extraction...

    Jiatao Song, Zheru Chi, Zhengyou Wang, Wei Wang in Advances in Intelligent Computing (2005)

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    Chapter and Conference Paper

    Term Graph Model for Text Classification

    Most existing text classification methods (and text mining methods at large) are based on representing the documents using the traditional vector space model. We argue that important information, such as the r...

    Wei Wang, Diep Bich Do, Xuemin Lin in Advanced Data Mining and Applications (2005)

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