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A distributed SVM for scalable image annotation

A distributed SVM for scalable image annotation

引用

2011 8th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Alham, Nasullah Khalid Li, Maozhen Liu, Yang Hammoud, Suhel Ponraj, Mahesh School of Engineering and Design Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Key Laboratory of Embedded Systems and Service Computing Ministry of Education Tongji University China

ISBN: (纸本)9781612841816

Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords. Among them Support Vector Machines (SVMs) are used extensively due to their generalization properties. However, SVM training is notably a computationally intensive process especially when the training dataset is large. This paper presents MRSVM, a distributed SVM algorithm for large scale image annotation which partitions the training data set into smaller subsets and train SVM in parallel using a cluster of computing nodes. MRSVM is evaluated in an experimental environment showing that the distributed SVM algorithm reduces the training time significantly while maintaining a high level of accuracy in classifications. © 2011 IEEE.

关键词： MapReduce

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Logical difference analysis based on variable precision lower approximation operator and graded upper approximation operator

Logical difference analysis based on variable precision lowe...

引用

2012 International Conference on Computer Science and Information Processing, CSIP 2012

作者： Zhang, Xianyong Miao, Duoqian Department of Computer Science and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China College of Mathematics and Software Science Sichuan Normal University Chengdu Sichuan 610068 China

ISBN: (纸本)9781467314114

This paper aims to construct and analyze an original logical difference based on the quantitative approximation operators. According to the variable precision lower approximation operator and graded upper approximation operator, we first put forward the specific logical difference;the new concept makes the specific logical combination on precision and grade, and has the practical multiple quantitative meaning. Then, both the fundamental structure and properties are investigated and obtained for the logical difference. Furthermore, two algorithms, the regular and structural algorithms, are proposed and analyzed, and the structural algorithm has more advantages. Finally, an example is provided. The proposed concept partially extends the graded and classical approximation operators;thus, some properties are achieved correspondingly for these previous approximation operators. © 2012 IEEE.

关键词： Rough set theory

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A relational taxonomy of services for large scale service repositories

A relational taxonomy of services for large scale service re...

引用

2012 IEEE 19th International Conference on Web services, ICWS 2012

作者： Wu, Yan Yan, Chungang Ding, Zhijun Wang, Pengwei Jiang, Changjun Zhou, Mengchu Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States School of Electronics and Information Engineering Tongji University Shanghai China

ISBN: (纸本)9780769547527

With the rapid development of service-oriented computing (SOC) and service-oriented architecture (SOA), the number of services is rapidly increasing. How to organize and manage services effectively in repositories to improve the efficiency of service discovery and composition is important. This paper proposes three categorization rules to classify services for a large scale repository to form a relational taxonomy. The service retrieve scope can be drastically narrowed by this taxonomy. Therefore, the efficiency of service discovery and service composition can be greatly improved. We evaluate and compare the performance of the proposed method and other related ones via a publicly available test set, ICEBE05. The experimental results validate the effectiveness and high efficiency of the proposed one. © 2012 IEEE.

关键词： Web services

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Algorithms and analyses of logical difference of graded lower and upper approximation operators

Algorithms and analyses of logical difference of graded lowe...

引用

2012 International Conference on Computer Science and Information Processing, CSIP 2012

ISBN: (纸本)9781467314114

Grade serves as a fundamental quantitative index, and the graded rough set model is a basic model. Thus, this paper aims to investigate an original logical difference in the graded rough set model. According to the specific logical requirement on the grade index, the logical difference is put forward based on the graded lower and upper approximation operators;the new concept has the practical logical quantitative meaning. Then, both the macroscopic essence and microscopic fundamental structure are obtained for the new concept. For calculation, two algorithms, the conventional and microscopic algorithms are proposed and analyzed emphatically, and we conclude that the microscopic algorithm has more advantages in time and space complexity. Finally, the logical difference and its algorithms are both illustrated by an example. © 2012 IEEE.

关键词： Rough set theory

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引用

9th International Conference on Intelligent computing, ICIC 2013

作者： Wang, Bing Ji, Zhiwei Advanced Research Institute of Intelligent Sensing Network Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China School of Electronics and Information Engineering Tongji University Shanghai 201804 China

ISBN: (纸本)9783642394812

The development of novel high-throughput experimental techniques makes it possible to comprehensively analyze biological data in health and disease. However, a large amount of data generated results in dramatic data-analytic challenges in discovery of 'signature' molecules, which are specific to different biological conditions (e.g. normal vs. disease, treated vs. untreated). Current statistical methods are effective only in the case their hypothesis can be matched. In this paper, we apply an ensemble statistical method to infer significant molecules. In our approach, four well-done and well-understanding statistical techniques had been used for the analysis to the experimental data, and then the results will be collected into an ensemble framework to find the high confident "significant" molecules which can distinguish the different experimental conditions. We evaluate the performance of our approach on a test dataset which deposited on GEO database with an access number of GSE45114. © 2013 Springer-Verlag.

关键词： Molecules

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Load balancing in MapReduce environments for data intensive applications

Load balancing in MapReduce environments for data intensive ...

引用

2011 8th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Liu, Yang Li, Maozhen Alham, Nasullah Khalid Hammoud, Suhel Ponraj, Mahesh School of Engineering and Design Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Key Laboratory of Embedded Systems and Service Computing Ministry of Education Tongji University China

ISBN: (纸本)9781612841816

The distributed computations are widely used in the modern world for processing large scale jobs. Hadoop framework which is based on Google MapReduce model becomes popular due to its great processing power and ease to use. However, due to lack of load management, especially in a heterogeneous computing environment, the performance of Hadoop framework may be deteriorated. Therefore this paper presents a load balancing algorithm which aims to balance the load among heterogeneous nodes. And also, the Hadoop simulator HSim is involved to evaluate the performance of the load balancing algorithm. The results indicate that the performance of the cluster has been significantly enhanced. © 2011 IEEE.

关键词： MapReduce

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Ontology based file retrieval framework for resource limited mobile devices

Ontology based file retrieval framework for resource limited...

引用

2011 8th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Jan, Sadaqat Li, Maozhen Al-Sultany, Ghaidaa Al-Raweshidy, Hamed School of Engineering and Design Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Key Laboratory of Embedded Systems and Service Computing Ministry of Education Tongji University China

ISBN: (纸本)9781612841816

Recent advances in mobile technologies have emerged new challenges for researchers. File management and retrieval on resource-limited devices has become a challenging problem as these devices are now equipped with larger storage capacities. This paper presents an overview about the possibilities of implementing Semantic Web Technologies in order to facilitate the file retrieval on resource-limited devices. We have proposed a semantic based file retrieval framework which utilizes a generic ontology in file search process. The search module is implemented in Java ME platforms as a case study. Performance of the proposed search module is evaluated through experimental tests along with probabilistic evaluations. The implemented module not only automates file retrieval process but also shows significant improvement in file retrieval efficiency by utilizing the knowledge of employed ontology in the search module. © 2011 IEEE.

关键词： Ontology

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Coverage optimization in wireless mobile sensor networks

Coverage optimization in wireless mobile sensor networks

引用

5th International Conference on Wireless Communications, Networking and Mobile computing, WiCOM 2009

作者： Xingzhen, Bai Shu, Li Changjun, Jiang Zhengzhong, Gao Electronics and Information Engineering School Tongji University Shanghai 201804 China Key Laboratory for the Embedded System and Service Computing of Ministry of Education Tongji University Shanghai 201804 China College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao 266510 China

ISBN: (纸本)9781424436934

The coverage of Wireless Sensor Networks (WSNs) is one of the most important measurement criteria of Qos. Optimal coverage of sensors is propitious to the maximum possible utilization of the available sensors. It can balance node energy consumption, and elongate network lifetime. In this paper, particle swarm optimization (PSO) approach is applied to maximize the coverage of mobile sensor networks. We first analyze the node distribution of random deployed sensor networks. There are big coverage holes as the network size grows. In order to reduce energy consumption during node move process, we study the sensor network coverage optimization in the limited mobility model. The simulation results show that sensor node move in the limited region can also realize the coverage optimization , and it can reduce the moving distance greatly. ©2009 IEEE.

关键词： Sensor nodes

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LBRM algorithm for rule extraction based on rough membership

引用

2013 3rd International Symposium on Chemical Engineering and Material Properties, ISCEMP 2013

作者： Zhang, Xian Yong Miao, Duo Qian College of Mathematics and Software Science Sichuan Normal University Chengdu Sichuan 610068 China Department of Computer Science and Technology Tongji University Shanghai 201804 China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9783037858363

Rule extraction is a main goal for rough set theory. This paper mainly constructs a new algorithm (LBRM Algorithm) for rule extraction based on rough membership. The confidence principle is established based on rough membership. Thus, LBRM Algorithm is proposed by utilizing discretization and clearness strategies under the fuzzy environment, and is applied to both interval rules and general rules in fuzzy classification. LBRM Algorithm effectiveness is illustrated by a medical example. In particular, LBRM Algorithm integrates the confidence on both previous LBR Algorithm and fundamental rough membership, and has some improvements on rule confidence. © (2013) Trans Tech Publications, Switzerland.

关键词： Rough set theory

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Research of Meridian Diagnosis system Based on SVM

Research of Meridian Diagnosis System Based on SVM

引用

The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

作者： Guo-Xia Zhang Fu-Qiang Liu Chun-Lin Song Pei-Yuan Lai BW&M Institute The Key Laboratory of Embedded System and Service ComputingMinistry of Education Tongji University ShanghaiChina

Aiming at the deficiency of the current meridian diagnosis algorithms, SVM is applied to meridian diagnosis system. The system structure is described firstly, then the model selection of SVM is discussed in detail by taking chronic pharyngitis as an example: one-against-one method is used to realize multi-class;the problem of non-symmetrical samples of C-SVM is solved by giving positive and negative samples of different weights;a margin-based bound on generalization method is used to search parameters of the model. Finally, test results show that the classifier, which is realized and tested using vc++6.0, possess a very high recognition rate and can be applied to meridian diagnosis system.

关键词： Meridians Diagnosis system SVM Nonsymmetrical Samples Generalization Bound

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