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检索条件"任意字段=2014 IEEE International Conference on Progress in Informatics and Computing"

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Statistical Consensus Method for Cluster Ensembles

Statistical Consensus Method for Cluster Ensembles

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Clement Deus School of Information Science and Engineering Central South University Changsha China

In Data mining and Knowledge discovery,clustering is one of the most important techniques in the process of discovering salient structures from the *** paper explores the idea of statistical consensus method for combining results from multiple clustering or *** explored this idea when working with customs data from Revenue *** partitions are generated by running k-means algorithm several times which produces diverse clustering results with different parameter initializations or subspaces in each time from the same *** achieve the combination for the final clustering result,our algorithm first selects a Reference partition with best clustering results among created *** it selects partitions which are consistent by employing the Mutual Information between partitions as the selection *** partitions with mutual information less than a set threshold value are discarded from the ensemble. Finally the selected partitions that create the ensemble are combined by the consensus function to achieve the final clustering *** consensus function uses the original features of the dataset in collaboration with the partitions results to attain the final *** shows that our algorithm achieves better clustering results than the classical k-means algorithm in terms of accuracy from both synthetic and real datasets.

关键词： Clustering Data Mining Ensembles Statistical Consensus Unsupervised learning

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A Resource-based Approach to Formalize Use Case Specification for Web Applications

A Resource-based Approach to Formalize Use Case Specificatio...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Weifeng Xu,Lin Deng,Yunkai Liu Department of Computer and Information Science Gannon University Erie,Pennsylvania,USA

Web applications under attack may perform undesirable behaviors against their use case specification. These attacks exploit web vulnerabilities which are usually considered as consequences of abusing web *** paper proposes a resource-based approach to formalize use case specification for web *** goal of the research is to identify and organize web resources,and to integrate web resources into use cases in a structured way. First,we filter web resource information based on the lexical analysis of the original use case ***,we identify hidden web resources that are not listed in the event flow but required during the realization of the *** that,we organize these web resources into a web resource ***,the formalized use case specification is constructed into a tree structure along with a defined event flow *** resource-based use case specification enables security analysts to analyze the web vulnerabilities in terms of the resources required by each *** is helpful to elicit security requirements.

关键词： requirement engineering security requirements web resources categorization use case formalization event flow tree

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An Open User Model Service Platform

An Open User Model Service Platform

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Haiyan Zhao School of Optical-Electrical and Computer Engineering, Shanghai University for Science & Technology Shanghai,China Yanlan Chen School of Optical-Electrical and Computer Engineering, Shanghai University for Science & Technology Shanghai,China

To obtain and maintain user models are very important for personalized service *** quality of personalized services directly relies on the quality of the user *** surprisingly,many web sites have adopted different ways to construct user models so that they can recommend goods or services to individuals according to user's preference. Obviously,to integrate separate user models coming from different sources for one user can provide more comprehensive and accurate user *** there exist the requirements to obtain integrated user models by sharing their user models. After discussing the requirements of sharing user models,an open user model service platform is ***'s architecture, key technologies and an implemented prototype are introduced.

关键词： user model personalized service integrate

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Distance Metric Learning with Penalized Linear Discriminant Analysis

Distance Metric Learning with Penalized Linear Discriminant ...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Yang Chen State Key Laboratory of Robotics,SIA,CAS,Shenyang, China School of Information Science and Engineering, Wuhan University of Science and Technology,Wuhan, China Graduate School,CAS,Beijing,China Xingang Zhao,Jianda Han State Key Laboratory of Robotics,Shenyang Institute of Automation(SIA),Chinese Academy of Sciences(CAS), Shenyang,China

Linear discriminant analysis has gained extensive applications in supervised classification and dimension reduction. In LDA formulation,original patterns with high dimension can be projected to lower dimension through a transfer matrix which is fundamental to clustering,nearest neighbor searches,and *** transfer matrix is usually viewed as a distance metric. However,the classification accuracy under the LDA metric is neither optimal nor suboptimal because physical datasets often appear multimodal *** paper proposes a penalized scheme for LDA to improve the classification rate by using the information of misclassified *** method is evaluated to be robust and effective by a great number of datasets from the machine learning repository.

关键词： Linear discriminant analysis dimension reduction projection subspace local Fisher discriminant analysis(LFDA)

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Iris Localization Algorithm Based on Gray Distribution Features

Iris Localization Algorithm Based on Gray Distribution Featu...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Fei Tan,Zhengming Li and Xiaoqin Zhu School of Electrical and Information Engineering Jiangsu University Zhenjiang,China

Influenced by the noises,for example,eyelid and eyelash occlusions,iris localization algorithms are difficult to keep a right balance between real-time quality and accuracy. Therefore,a novel iris localization method with effective noise eliminating is proposed in this *** the iris' inner edge location,morphological open is used to eliminate noise based on separating pupil region by *** the pupil's center and radius are located accurately by gray *** the iris' outer edge location,morphological close is proposed to eliminate the rich texture within the iris *** on this method,an edge detection template to search four directional points within a small scope of the probable boundary is designed and thus the iris's centre and radius can be *** results show that,compared with the pre-algorithms,the new algorithm not only greatly improves the accuracy and the speed, but also shows good robustness.

关键词： iris localization gray projection edge detection template

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Key-frame Extraction Based on Clustering

Key-frame Extraction Based on Clustering

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Rong Pan,Yumin Tian,Zhong Wang Institute of Computer Peripherals Xidian University Xi'an,China

The emphasis is on the key-frame extraction technique in content-based video *** with problems existed in the traditional clustering algorithms,an improved shots keyframe extraction algorithm based on fuzzy C-means clustering is *** the color feature information in the video frames,and then through the improvement of the clustering algorithm of video sequences to acquire the center value of various classes and the membership degree of every frame relative to the classes,finally the shots will be clustered into several *** to the relatively uniform of the contents in the sub-shots and the large differences between different classes,as well as the value of the maximum image entropy corresponds to the maximum amount of information in the information theory,the value of maximum entropy frame is extracted as the key-frame from each *** method overcomes the shortcomings of the traditional key-frame extraction methods that the numbers of the key-frame are fixed. Experiments based on various video sequences show that the algorithm is more reasonable.

关键词： video retrieval key-frame extraction image entropy cluster fuzzy C-means

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Measuring and Control Method of Deformation Process of Generator's Retaining Rings on Hydraulic Bulging Strengthening Technology based on Virtual Instrument

Measuring and Control Method of Deformation Process of Gener...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Xianling Zhao College of electronic information engineering Taiyuan university of science and technology Taiyuan,China Jiansheng Liu College of materials science and engineering Taiyuan university of science and technology Taiyuan,China

The hydraulic bulging strengthening technology is a kind of strengthening technology of large generator's retaining *** ring billet is deformed uniformly by the super pressure water while the punch working angle is 60°and the pressure between the punch and the rings is *** the deformation process the thickness of the ring must be controlled accurately. Using ultrasound sensors which the accuracy can achieve 0.1mm to measure real-time thickness of the ring billet can greatly improve the *** the pressure of the oilhydraulic machine and ultra-high pressure pump with virtual instrument may improve *** experiment in 5MN oil-hydraulic machine proves that the external generatrices of the ring billet are nearly line after the thickness deformations of the top,middle and bottom of the ring billet are 1.49mm,1.69mm and *** ring billet is 1/5 of 300MW18-18 steel retaining ring.

关键词： generator'ring hydraulic bulging strengthening ultrasound sensors LabVIEW virtual instrument

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FTIR Micro-spectroscopic Imaging Analysis Based on PCA and LS-SVM

FTIR Micro-spectroscopic Imaging Analysis Based on PCA and L...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Xiukun Yang,Tingting Sun,Xuezhi Xiang dept.Information and Communication Engineering Harbin Engineering University Harbin,China

FTIR micro-spectroscopic imaging analysis is a new and potential tool for subtle changes detection in biochemical *** excellent performance and limitation of FTIR technique are briefly discussed in this *** order to explore an automatic and efficacious method for chemical composition distinction,principal component analysis(PCA) and least square support vector machine(LS-SVM) is *** this work,the unsupervised algorithm PCA is used to reduce dimension,extract linear features of original data set,and speed up the convergence in the training of *** linear features are sent to LS-SVM classifier to distinguish one ingredient out of blends,in which linear inseparable ingredients can be properly adjusted by changing kernel function and parameters of *** experimental results indicate that this method achieves high classification accuracy and low dependence on the experience and capacity of scientific researchers.

关键词： FTIR micro-spectoscopic imaging principal analysis(PCA) least square support vector machine(LS-SVM) feature extraction classification

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On the Avionics Full Duplex Switched Ethernet Technologies

On the Avionics Full Duplex Switched Ethernet Technologies

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Xin Chen~1,Xudong Xiang~1,Xuesong Zhang~1 and Jianxiong Wan~2 1.Dept.of Information Security,Beijing Information Science & Technology University,Beijing,100101,China 2.School of Information Engineering,University of Science and Technology,Beijing,100083,China

As an advanced on-board data transmission protocol, Avionics Full Duplex Ethernet(AFDX) was initiated by Airbus in the evolution of its A380 *** this paper,we deduce several properties of an AFDX network and present an AFDX System Integration Algorithm(ASIA) to guide the topology design of an AFDX network as well as Virtual Link(VL) parameters determination. We also propose an Integrity Checking(IC) algorithm based on the difference of the sequence numbers between redundant *** algorithm reasonably expands the reception range of valid frames and avoids potential deadlock,thus greatly enhancing the reliability of AFDX protocol.

关键词： AFDX Network Calculus Deterministic Property Reliability Integrity Checking

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引用

The 2010 ieee international conference on progress in informatics and computing

作者： Songjiang Lou,Guoyin Zhang College of Computer Science and Technology Harbin Engineering University Harbin,China Haitao Yu College of Computer Science and Infomation Technology Daqing Normal University Daqing,china

Feature extraction is an important step towards pattern *** Discriminant Projection (UDP) shows desirable performance for face recognition,but it is unsupervised and the features extracted are correlated;besides it is a linear method in *** solve these problems,a new feature extraction method called kernel uncorrelated supervised discriminant projection(KUSDP) is *** the proposed algorithm,the data in the original space are first mapped into one high dimensional space by kernel trick,then one supervised discriminant method is performed in this high dimensional space, meanwhile an uncorrelated constraint is *** a result,the proposed algorithm can handle the nonlinearity,and the locality of the intra-classs can be preserved and the separability of interclass is enlarged,also the uncorrelated vectors reduce the redundancy to its minimum,so it has more discriminative power. Experiments on face recognition demonstrate the correctness and effectiveness of the proposed algorithm.

关键词： feature extraction face recognition locality preserving projection unsupervised discriminant projection kernel uncorrelated supervised discriminant projection

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