检索结果-内蒙古大学图书馆

Automatic contour extraction for multiple objects based on Schroedinger transform of image

Automatic contour extraction for multiple objects based on S...

MIPPR 2009 - Automatic Target Recognition and Image Analysis: 6th International Symposium on Multispectral Image Processing and Pattern Recognition

作者： Lou, Liantang Lu, Ling Li, Liguo Gao, Wenliang Li, Lingling Fu, Zhongliang School of Remote Sensing and Information Engineering Wuhan University Wuhan 430072 China School of Science Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan 430073 China Department of Computer Science and Application ZhengZhou Institute of Aeronautical Industry Management Zhengzhou 450015 China

ISBN: (纸本)9780819478061

Analytical and numerical solutions of the Schroedinger Equation which was satisfied by the propagator P(b, a) , including all the paths contribution, are discussed. The definition of Schrödinger transform of image is first proposed. Exterior and interior of objects are obtained from Schroedinger transforms of original image and its inverse image. Using the bruteforce algorithm, sets of exterior and interior points are thinned. By finding pairs of exterior and interior points with the smallest distance between them, contours of multiple objects are extracted. Some experiments with simulated and real images are given. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

C-SWF: A Lightweight Scientific Workflow System for Astronomical Data Processing

C-SWF: A Lightweight Scientific Workflow System for Astronom...

引用

International Workshop on computer Science and Engineering (WCSE)

作者： Feng Wang Jia Luo Hui Deng Bo Liang Kaifan Ji Yunnan Computer Technology Application Key Laboratory Kunming University of Science and Technology Kunming China Class 01510601 School of Information and Electronics Beijing Institute of Technology Beijing China

Due to the urgent requirements of mass data processing in the field of astronomy, with the advent of network grid computing techniques, a scientific workflow technique was presented and quickly adopted for distributed astronomical data processing. However, current existing scientific workflow systems are too complex and enormous in system deployment and system manipulation. Few people can master it in a short period. In this paper, we presented a lightweight scientific workflow system, C-SWF, which is specially designed for astronomy. All required fundamental functions, such as task customization, data movement, provenance and task re-run mechanisms, are fully implemented. Comparing with the existing scientific workflow system, C-SWF provides many useful features such as simple, high performance and is easy to deploy in order to meet the requirements of astronomers.

关键词： Data processing Space technology Astronomy Grid computing computer networks application software Resource management Large-scale systems computer science Data engineering

来源：评论

学校读者我要写书评

暂无评论

Automatic entity relation extraction for the field of tourism

引用

Journal of Computational Information Systems 2009年第6期5卷 1653-1659页

作者： Zhang, Yihao Guo, Jianyi Yu, Zhengtao Yao, Xianming Zhang, Shaomin Lei, Chunya The School of Information Engineering and Automation Kunming University of Science and Technology Kunming 650051 China The Institute of Intelligent Information Processing Computer Technology Application Key Laboratory of Yunnan Province Kunming 650051 China

Entity relation extraction is an important research field in information extraction. In this paper, a machine learning algorithm that use maximum entropy to extract relations between entities in the filed of tourism is proposed. We consider comprehensively the syntactic context information, entity types, vocabulary, part of speech information and their combination features, and focus on selecting suitable feature in the field of tourism in order to build the classifier of entity relation extraction. We do our experiment on the artificial collection of 600 corpuses in the field of tourism. The methods used in this paper receive a good result in the identification of two types entity relation, The F values reached 81.21% and 78.46% respectively. Comparing with two groups of experiments, we can conclude that combination features can effectively improve the accuracy of the maximum entropy classifier's model. 1553-9105/ Copyright © 2009 Binary Information Press.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Organizing structured deep web sources with semantic inference

引用

Journal of Computational Information Systems 2009年第3期5卷 1157-1165页

作者： Huang, Li Fang, Wei Chen, Hongpin Zhao, Pengpeng Cui, Zhiming Jiangsu Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China Institute of Intelligent Information Processing and Application Soochow University Jiangsu Suzhou 215006 China

Deep Web sources classification is one of key steps in Large-scale data integration, and structured query interface of Deep Web serves as a valid approach for research on online databases organization by domains. This paper proposes a novel classification strategy on Deep Web sources. Decisive features and co-occurrence features could be obtained by semantic inference from visible features of query interface, which enrich semantic features in form. Integration of semantic inference and machine learning method effectively can further improve traditional classification performance on Deep Web sources. Experimental results on real web datasets show that our method is improved with higher classification accuracy. 1553-9105/ Copyright © 2009 Binary Information Press.

关键词： Data integration

来源：评论

学校读者我要写书评

暂无评论

Identifying query interfaces of deep web entries automatically

引用

Journal of Computational Information Systems 2009年第3期5卷 1477-1485页

作者： Cui, Zhiming Fang, Wei Huang, Li Xian, Xuefeng Zhang, Shukui Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China Institute of Intelligent Information Processing and Application Soochow University Suzhou 215006 China

A large number of high-quality web information is deeply hidden in the Web, which can not be indexed by conventional search engines, be called Deep Web. Because query interface is the only entrance to the Deep Web, we should find Deep Web query entries firstly. In this paper, we propose a new strategy that automatically and accurately identifies Deep Web entries based on Maximum Entropy and Bayes classifier from features that extracted from web form, link and page. Our experiments over real web pages show that the new approach can classify Deep Web entries accurately and efficiently. 1553-9105/ Copyright © 2009 Binary Information Press.

关键词： Search engines

来源：评论

学校读者我要写书评

暂无评论

Research on Fuzzy Semantic Service Matchmaking

Research on Fuzzy Semantic Service Matchmaking

引用

International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Dexin Zhao Zhiyong Feng Degan Zhang Key Laboratory of Advanced Displays and System Application Ministry of Education Tianjin China Tianjin Key Laboratory of Intelligence Computing & Novel Software Technology Tianjin University of Technology Tianjin China School of Computer Science and Technology Tianjin University TJU Tianjin China

ISBN: (纸本)9781424441327

The traditional syntactic service matchmaking is lack of semantic information with machine understandable, so it can not achieve intelligent service discovery. In this paper, the fuzzy nature of matchmaking is considered, and the conceptions of linguistic variables in fuzzy logics are introduced into service matchmaker. The matchmaking linguistic variables and the fuzzy relationship matrix are defined, and conjunction degree of fuzzy key words sets is proposed to solve the semantic match problem between service description and service request. The research provides a new valuable way for studying intelligent service discovery.

关键词： Web services Fuzzy logic Machine intelligence Laboratories Fuzzy sets Semantic Web Service oriented architecture Intelligent networks Natural languages computer vision

来源：评论

学校读者我要写书评

暂无评论

Discovery of Motif Pairs from Protein-Protein Interaction Networks

Discovery of Motif Pairs from Protein-Protein Interaction Ne...

引用

International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, IJCBS

作者： Hong Zhang Yun Xu Yuzhong Zhao Department of Computer Science Anhui Province-MOST Co-Key Laboratory of High Performance Computing and Its Application University of Science and Technology Hefei Anhui China

Motif pairs can provide insight on how protein-protein interactions are encoded. Their discovery requires laborious and expensive biological experiments. Recently, Tan et al. proposed a computational approach to find motif pairs in the sequences of interacting proteins. However, their approach suffers from two drawbacks. The heuristic used in their approach is not accurate and may lead to a result including some false positive motif instances. Their approach is also not scalable. It may take days to process a set of 5000 protein sequences with about 20,000 interactions. We present in this work a new algorithm DMPCP, which finds motifs from a subset of proteins and then pairs them up according to Chi-squared scoring functions. Experiments on real biological datasets and simulated datasets show that our approach is efficient and can find actual motif pairs. We also evaluated our approach on simulated datasets with planted motif pairs. The results show that our approach can achieve high success rates when interaction data is insufficient.

关键词： Protein engineering Sequences Biology computing computer networks High performance computing Biological information theory Biological system modeling Bioinformatics Systems biology Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

N-order difference heuristic model of fuzzy time series forecasting

N-order difference heuristic model of fuzzy time series fore...

引用

IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Kai Chi Wen-Gang Che Pattern Recognition and Intelligent System School of Information Engineering and Automation Kunming University of Science and Technology China Key Laboratory of Computer Technology and Application of Yunnan Province Kunming University of Science and Technology China

Fuzzy time series forecasting model is an effective method to solve the nonlinear problems forecasting. However, most published fuzzy time series based models did not count the change trend implicit in historical datum. In this paper, authors proposed a novel method which applied heuristic information to the fuzzy time series model based on Fibonacci sequence. As an example, the USD/JPY exchange rate is tested in this model. The results show that this method not only improves the forecasting accuracy, but decreases the computational complexity.

关键词： Predictive models technology forecasting Economic forecasting Uncertainty Fuzzy systems Pattern recognition Intelligent systems Automation Channel hot electron injection Laboratories

来源：评论

学校读者我要写书评

暂无评论

THE COMBINING KERNEL PCA WITH PSO-SVM FOR CHAOTIC TIME SERIES PREDICTION MODEL

THE COMBINING KERNEL PCA WITH PSO-SVM FOR CHAOTIC TIME SERIE...

引用

2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： XIAO-WEI CHEN QI-SONG CHEN XIN ZHANG SHI-HUAN XIONG College of Computer Science and Technology Guizhou University Guiyang 550025 China GuiZhou Key Laboratory for Photoelectric Technology and Application Guiyang 550025 China Mathematics and Computer Science Department of Guizhou Education College Guiyang 550003 China

Chaotic time series analysis or forecasting is an important and complex problem in machine learning. As an effective tool, support vector machine (SVM) has been broadly adopted in pattern recognition and machine learning fields. In developing a successful SVM classifier, eliminating noise and extracting feature are very important This paper proposes the application of kernel PCA to LS-SVM for feature extraction. Then PSO algorithm is employed to optimization of these parameters in LS-SVM. The novel chaotic time series analysis model integrates the advantages of wavelet transform, KPCA, PSO and LS-SVM. Compared with other predictors, this model has greater generality ability and higher accuracy.

关键词： KPCA PSO SVM Feature eztraction Prediction model

来源：评论

学校读者我要写书评

暂无评论

Research on the method of entity homepage recognition

引用

Journal of Computational Information Systems 2009年第6期5卷 1617-1624页

作者： Li, Lina Yu, Zhengtao Zou, Junjie Su, Lei Xian, Yantuan Mao, Cunli The School of Information Engineering and Automation Kunming University of Science and Technology Kunming 650051 China The Institute of Intelligent Information Processing Computer Technology Application Key Laboratory of Yunnan Province Kunming 650051 China School of Software Yunnan University Kunming 650091 China

Entity Homepage Recognition(EHR) is an important part of entity finding. In this paper, a method of EHR based on AdaBoost is proposed. With the help of Google, this method recalls pages related to answer entities and recognizes to obtain the relevant entity homepage. In detail, Person, Organization and Product, three types of entities are analyzed respectively and 3148 entities and the corresponding entity homepages are collected, besides, on the basis of entity characteristic, we define the entity features related to the features of link and webpage content, as well as, these features are extracted to form a training data set;And then using different learning algorithms with different features to identify the homepage to find the most effective classification features and homepage recognition learning algorithm. Experiments were done by employing the test data set of entity task in TREC-2009 and the method of 10-fold cross validation, the results show the best effects have been achieved by adopting the method of AdaBoost, specifically, combined with the features of link and webpage content, the recognition accuracy rate for right homepage reaches 91.34%. 1553-9105/ Copyright © 2009 Binary Information Press.

关键词： Adaptive boosting

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：