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检索条件"任意字段=International Workshop on Intelligent Computer in Pattern Analysis/Synthesis"

共 294 条记录，以下是101-110 订阅

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Research on the Promotion of Rule Engine Performance

Research on the Promotion of Rule Engine Performance

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international workshop on intelligent Systems and Applications, ISA

作者： Gang Zhang Wenwei Shan Feng Wang Department of Computer Science and Technology Tianjin University TJU Tianjin China

ISBN: (纸本)9781424458721;9781424458745

The essence of rule-based software development is to separate business logics and business data, so as to make the business logics as an independent and maintainable part. This method applies the technique of Rule Engine. Rule Engine can modify the rule file and manage the requirement changes conveniently and effectively. But it also brings lots of extra performance consumptions. The consumptions mainly include three parts: the time of compiling rule files, the time of rule matching and the time of rule conflict resolution. This article presents three methods to enhance the performance of Rule Engine, which are compile out of process, detail rule file content and sub function package division. In the end, this article makes a comparison of system performance by rule-based system and general system to analysis the pros and cons of rule engine. The results showed that the system developed by rule-based method has good adaptability and scalability when requirement changes. Using specific design method for special system can improve the performance of rule-based system effectively.

关键词： Engines Programming Logic System performance Knowledge based systems pattern matching Software maintenance computer science Packaging Performance analysis

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Mining Frequent patterns from Software Defect Repositories for Black-Box Testing

Mining Frequent Patterns from Software Defect Repositories f...

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international workshop on intelligent Systems and Applications, ISA

作者： Ning Li Zhanhuai Li Lijun Zhang School of Computer Science and Technology Northwestern Polytechnical University Xi'an China

Software defects are usually detected by inspection, black-box testing or white-box testing. Current software defect mining work focuses on mining frequent patterns without distinguishing these different kinds of defects, and mining with respect to defect type can only give limited guidance on software development due to overly broad classification of defect type. In this paper, we present four kinds of frequent patterns from defects detected by black-box testing (called black-box defect) based on a kind of detailed classification named ODC-BD (Orthogonal Defect Classification for Blackbox Defect). The frequent patterns include the top 10 conditions (data or operation) which most easily result in defects or severe defects, the top 10 defect phenomena which most frequently occur and have a great impact on users, association rules between function modules and defect types. We aim to help project managers, black-box testers and developers improve the efficiency of software defect detection and analysis using these frequent patterns. Our study is based on 5023 defect reports from 56 large industrial projects and 2 open source projects.

关键词： Software testing Data mining Itemsets Association rules Programming Inspection Software development management Open source software pattern analysis Software quality

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Neural Network Learning Based on Chaotic Imperialist Competitive Algorithm

Neural Network Learning Based on Chaotic Imperialist Competi...

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international workshop on intelligent Systems and Applications, ISA

作者： Marjan Abdechiri Karim Faez Helena Bahrami Department of Electrical Computer & IT Qazvin Azad University Qazvin Iran Department of EE Amirkabir University of Technology슠 Tehran Iran

ISBN: (纸本)9781424458721;9781424458745

Imperialist Competitive Algorithm (ICA) is a novel optimization algorithm that inspired by socio-political process of imperialistic competition. ICA shown its excellent capability in diverse optimization tasks. In this paper, a new method for training an Artificial Neural Network using Chaotic Imperialist Competitive Algorithm is proposed. In Chaotic Imperialist Competitive Algorithm (CICA) the chaos theory has been used to adjust the movement angle of colonies towards the imperialists. Using Chaotic Imperialist Competitive Algorithm (CICA), the weights of the Neural Network in its training phase are updated. In this paper, a multi layer Perceptron Neural Network used for prediction of the maximum worth of the stocks change in Tehran's Bourse Market. We trained this Neural Network with CICA, ICA, PSO and GA algorithms and compared the experimental results obtained from these four methods. The consideration of results showed that the training and test error of the network trained by CICA algorithm has been reduced in comparison to the other three methods. However, the run time of the proposed algorithm in training the neural network is less than PSO and GA algorithm it is a little more than ICA algorithm.

关键词： Neural networks Chaos Independent component analysis Artificial neural networks Evolutionary computation Absorption Optimization methods Testing computer networks pattern recognition

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intelligent pattern recognition and applications to biometrics in an interactive environment

Intelligent pattern recognition and applications to biometri...

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4th international Conference on computer Graphics Theory and Applications, GRAPP 2009

作者： Wang, Patrick College of Computer and Information Science Northeastern University Boston MA 02115 United States

ISBN: (纸本)9789898111678

This talk deals with some fundamental aspects of biometrics and its applications. It basically includes the following subtopics: (1) Overvievv of Biometric Technology and Applications (2) Importance of Security: A Scenario of Terrorists Attack, (3) What are Biometric Technologies?, (4) Biometrics: analysis vs synthesis.(5) analysis: Interactive pattern Recognition Concept, (6) Concept of "Semantics" and "Ambiguitv", Their Importance and Applications, (7)computer Vision (3D) and Image Processing (2D), (8) Image Processing & computer Graphicsas Reverse Process, (9) Thermal ImagingRecognition. (10) synthesis in biometrics, (11) Modeling and Simulation, and (12) more Examples and Applications in Interactive Environment.

关键词： Biometrics

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intelligent pattern RECOGNITION AND APPLICATIONS TO BIOMETRICS IN AN INTERACTIVE ENVIRONMENT

INTELLIGENT PATTERN RECOGNITION AND APPLICATIONS TO BIOMETRI...

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4th international Conference on computer Vision Theory and Applications

作者： Wang, Patrick Northeastern Univ Coll Comp & Informat Sci Boston MA 02115 USA

ISBN: (纸本)9789898111692

This talk deals with some fundamental aspects of biometrics and its applications. It basically includes the following subtopics: (1) Overview of Biometric Technology and Applications (2) Importance of Security: A Scenario of Terrorists Attack, (3) What are Biometric Technologies?, (4) Biometrics: analysis vs synthesis.(5) analysis: Interactive pattern Recognition Concept, (6) Concept of "Semantics" and "Ambiguity", Their Importance and Applications, (7)computer Vision (3D) and Image Processing (2D), (8) Image Processing & computer Graphicsas Reverse Process, (9) Thermal ImagingRecognition. (10) synthesis in biometrics, (11) Modeling and Simulation, and (12) more Examples and Applications in Interactive Environment.

关键词： Biometrics

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Real-time freeway traffic state estimation based on cluster analysis and multiclass support vector machine

Real-time freeway traffic state estimation based on cluster ...

引用

2009 international workshop on intelligent Systems and Applications, ISA 2009

作者： Deng, Chao Wang, Fan Shi, Huimin Tan, Guozhen Department of Computer Dalian University of Technology Dalian China

ISBN: (纸本)9781424438945

Urban traffic state analysis plays an important role in the solution of traffic congestion problem. To estimate traffic state effectively is a foundational work for improving traffic condition and preventing traffic congestion. In this paper, a novel pattern-based approach is proposed to model the clustering and classification of traffic state. First, fuzzy-set clustering method is utilized to divide the traffic state into a number of patterns. Then multiclass support vector machine (MSVM) is applied to estimate these states with real-time traffic data. The result shows that the proposed approach is promising for the dynamic estimation of road traffic state and can provide forecasted congestion information for the traffic control system and traffic guidance system.

关键词： Traffic congestion

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A BBN-based approach for fault localization

A BBN-based approach for fault localization

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2009 international workshop on intelligent Systems and Applications, ISA 2009

作者： Liu, Xuemei Gu, Guochang Liu, Yongpo Wu, Ji Jia, Xiaoxia College of Computer Science and Technology Harbin Engineering University Heilongjiang Beijing China School of Computer Science and Technology Beijing University of Aeronautics and Astronautics Beijing China

ISBN: (纸本)9781424438945

Fault localization techniques help programmers find out the locations and the causes of the faults and accelerate the debugging process. The relation between the fault and the failure is usually complicated, making it hard to deduce how a fault causes the failure. At present, analysis of variance is broadly used in many recent correlative researches. In this paper, a Bayesian belief network (BBN) for fault reasoning was constructed based on the suspicious pattern, whose nodes consist of the suspicious pattern and the callers of the methods that constitute the suspicious pattern. The constructing algorithm of the BBN, the correlative probabilities, and the formula for the conditional probabilities of each arc of the BBN were defined. A reasoning algorithm based on the BBN was proposed, through which the faulty module can be found and the probability for each module containing the fault can be calculated. An evaluation method was proposed. Experiments were executed to evaluation this fault localization technique. The data demonstrated that this technique could achieve an average accuracy of 0.761 and an average recall of 0.737. This fault localization technique is very effective and has high practical value. © 2009 IEEE.

关键词： Bayesian networks

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A Novel Approach to Find patterns of Supplier

A Novel Approach to Find Patterns of Supplier

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3rd international workshop on e-Activity (IWEA2009)/10th ACIS international Conference on Software Engineering Artificial Intelligence, Networking and Parallel/Distributed Computing

作者： Xu, Xu Lin, Jie Tongji Univ Sch Econ & Management Shanghai 200092 Peoples R China

ISBN: (纸本)9780769536422

Supplier selection and evaluation are one of the most critical activities of a company in today's competitive business world. Partnering with the suppliers has become a key factor to the success of an organization. The selection of supplier satisfying different evaluation criteria, is therefore of main importance and builds the topic of this paper This selection process is a difficult decision and optimization problem, such as data mining technology. This paper utilizes an integrated approach to find the interesting pattern Of supplier. This research has employed a numerical example for the explanation of the proposed approach, and the results show that the method is effective and applicable for supplier selection. In short, the approach provides a new route to guide the further research concerning supplier research.

关键词： Data envelopment analysis computer network management Conference management Engineering management Companies Expert systems Software engineering Artificial intelligence intelligent networks Competitive intelligence

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Motion in Games - Second international workshop, MIG 2009, Proceedings

Motion in Games - Second International Workshop, MIG 2009, P...

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2nd international workshop on Motion in Games, MIG 2009

ISBN: (纸本)3642103464

The proceedings contain 23 papers. The topics discussed include: CA-LOD: collision avoidance level of detail for scalable, controllable crowds;exploiting motion capture to enhance avoidance behavior in games;a predictive collision avoidance model for pedestrian simulation;applying affect recognition in serious games: the PlayMancer project;a comparative review of reactive behavior models as proposed in computer graphics and cognitive sciences;data driven evaluation of crowds;variety is the spice of (virtual) life;interactive modeling, simulation and control of large-scale crowds and traffic;a velocity-curvature space approach for walking motions analysis;motion pattern encapsulation for data-driven constraint-based motion editing;real-time character control for wrestling games;motion planning and synthesis of human-like characters in constrained environments;and an open framework for developing, evaluating, and sharing steering algorithms.

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A framework for robust feature selection for real-time fashion style recommendation

A framework for robust feature selection for real-time fashi...

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1st ACM international workshop on Interactive Multimedia for Consumer Electronics - IMCE'09, Co-located with the 2009 ACM international Conference on Multimedia, MM'09

作者： Chao, Xiaofei Huiskes, Mark J. Gritti, Tommaso Ciuhu, Calina Leiden Institute of Advanced Computer Science Leiden University Niels Bohrweg 1 2333 CA Leiden Netherlands College of Information Engineering Northwest A and F University Niels Bohrweg 1 2333 CA Leiden Netherlands Video Processing and Analysis Group Philips Research Laboratories High Tech. Campus 36 5656 AE Eindhoven Netherlands

ISBN: (纸本)9781605587585

In this paper, we present the Smart Mirror system for fashion recommendation. The system uses intelligent vision technology to recognize clothing styles and supports real-time fashion recommendation. An important design challenge is to achieve sufficiently high style recognition accuracy while simultaneously offering robustness to input variations occurring in practice. We propose a framework for the selection of features that offer robust performance by assessing various evaluation measures under realistic deviations of optimal input data. The process is applied to a variety of low level features for clothing style description, including color histograms, local binary pattern (LBP) features and histogram of oriented gradient (HOG) features. We conclude the paper with an illustration of our results for web camera data and with a number of recommendations on how to move forward towards automatic fashion style perception.

关键词： Human computer interaction

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