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State-of-the-art of research on constructing 3D conceptual models based on gesture

Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 2005年第7期17卷 1389-1394页

作者： Gong, Yingkui Mei, Zhongyi Fan, Yuqing Ma, Cuixia Dai, Guozhong School of Mechanical Engineering and Automation Beihang University Beijing 100083 China Laboratory of Human-Computer Interaction and Intelligent Information Processing Institute of Software Chinese Academy of Sciences Beijing 100080 China

The latest research developments at home and abroad on constructing 3D conceptual models based on gesture are summarized. The gesture-based human-computer interaction and its key technologies are also discussed. At la... 详细信息

关键词： 3D conceptual models Gesture Human-computer interaction Pen

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Framework of the distributed β-PSML and its applications

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Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology 2005年第4期31卷 427-433页

作者： Su, Yi-La Liu, Chun-Nian Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science Beijing University of Technology Beijing 100022 China College of Information Engineering Inner Mongolia University of Technology Huhehaote 010062 China

For solving problems in a large-scale distributed Web environment, we propose the distributed β-PSML (problem solver markup language). The distributed β-PSML is an extension of the β-PSML that we have proposed before for complex adaptive, distributed problem solving, and can be easily used for automatic reasoning on the Web. By incorporating global information sources from the Semantic Web and social networks with locally operational knowledge-data bases in an enterprise portal together for decision-making and e-business intelligence, the reason of a distributed β-PSML can be implemented. The experimental results show that our considerations are valid by combining global and local information sources and our preliminary solution works well on the semantic Web.

关键词： Information retrieval

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Predictors of success in diagrammatic problem solving

Predictors of success in diagrammatic problem solving

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3rd International Conference on Diagrammatic Representation and Inference, Diagrams 2004

作者： Yoon, Daesub Narayanan, N. Hari Intelligent and Interactive Systems Laboratory Department of Computer Science and Software Engineering Auburn University AuburnAL36849 United States

ISBN: (纸本)354021268X

We conducted an eye-tracking study of mechanical problem solving from cross-sectional diagrams of devices. Response time, accuracy and eye movement data were collected and analyzed for 72 problem-solving episodes (9 subjects solving 8 problems each). Results indicate that longer response times and visually attending to more components of a device do not necessarily lead to increased accuracy. However, more focus shifts, visually attending to components in the order of causal propagation, and longer durations of visual attention allocated to critical components of the devices appear to be characteristics that separate successful problem solvers from unsuccessful ones. These findings throw light on effective diagrammatic reasoning strategies, provide empirical support to a cognitive model of comprehension, and suggest ideas for the design of information displays that support causal reasoning. © 2004, Springer-Verlag Berlin Heidelberg, All rights Reserved.

关键词： Problem solving

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Relational peculiarity oriented data mining

Relational peculiarity oriented data mining

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Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004

作者： Zhong, Ning Liu, Chunnian Yao, Y.Y. Ohshima, Muneaki Huang, Mingxin Huang, Jiajin Department of Information Engineering Maebashi Institute of Technology 460-1 Kamisadori-Cho Maebashi 371-0816 Japan Computer Science College Beijing University of Technology Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing 100022 China Department of Computer Science University of Regina Regina Sask. S4S 0A2 Canada

ISBN: (纸本)0769521428

Peculiarity rules are a new type of interesting rules which can be discovered by searching the relevance among peculiar data. A main task of mining peculiarity rules is the identification of peculiarity. Traditional methods of finding peculiar data are attribute-based approaches. This paper extends peculiarity oriented mining to relational peculiarity oriented mining. Peculiar data are identified on record level, and peculiar rules are mined and explained in a relational mining framework. The results from preliminary experiments show that relational peculiarity oriented mining is very effective. © 2004 IEEE.

关键词： Data mining

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Image attachment using fuzzy-genetic algorithms

Image attachment using fuzzy-genetic algorithms

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： B. Resko P. Korondi Z. Petres J.F. Bourges H. Hashimoto Japanese-Hungarian Laboratory Budapest University슠of슠Technology슠and슠Economics Hungary Computer Science and Software Engineering Department Laval University Sainte Foy QUE Canada Institute of Industrial Sciences Integrated Intelligent Systems Japanese-Hungarian Laboratory University of Tokyo Tokyo Japan

This paper gives contribution to the construction of an image mosaic by pasting together a sequence of photographs taken by a regular digital camera from the same position but in different directions. In order to find the best match between two overlapping images, a fuzzy-genetic based algorithm is presented. A translation vector with a minimal difference between the common picture parts has to be found. The difference is defined using the fuzzyfied contours of each images. The search of the optimal translation is considered as a minimization process. This paper proposes a method that uses genetic algorithms to find the minimum point corresponding to the optimal translation. Using the fuzzy based comparison of the two images yields a fast fitness function, while the implementation of the proposed method in a genetic hardware has a low and variable computational cost. The precision of the method is inverse-proportional with the computational time, which makes it ideal to be used in real time systems.

关键词： Cameras Genetic algorithms intelligent systems Laboratories Real time systems Pixel Computer industry Industrial economics Informatics software engineering

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Relational peculiarity oriented data mining

Relational peculiarity oriented data mining

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IEEE International Conference on Data Mining (ICDM)

作者： Ning Zhong Chunnian Liu Y.Y. Yao M. Ohshima Mingxin Huang Jiajin Huang Department of Information Engineering Maebashi Institute of Technology Maebashi Japan The Computer Science College Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina Regina SAS Canada

关键词： Data mining Relational databases Computer science Logic programming Learning systems Data engineering Educational institutions Laboratories Brain modeling Image databases

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TMS: Targeted Marketing System Based on Market Value Functions 04

TMS: Targeted Marketing System Based on Market Value Functio...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Jiajin Huang Ning Zhong Chunnian Liu Y.Y. Yao Dejun Qiu Chuangxin Ou College of Computer Science and Technology Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi Japan Department of Computer Science University of Regina Regina SAS Canada

ISBN: (纸本)9780769521008

TMS (Targeted Marketing System) is an integrated system and toolkit for profit-driven and cost-effective marketing. The system consists of three components: a Web-based user interface, a market value inference engine, and a presentation and evaluation module. It supports marketing decision making for a company or an organization by combining results from information retrieval, data mining, information theory, and utility theory.

关键词： Electronic mail User interfaces Engines Data mining Computer science Decision making Information retrieval Information theory Utility theory Costs

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Tasks as context for intelligent agents

Tasks as context for intelligent agents

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IEEE/WIC/ACM International Conference on intelligent Agent Technology (IAT)

作者： K. Lister L. Sterling Intelligent Agent Laboratory Department of Computer Science and Software Engineering University of Melbourne Melbourne Australia

The context of a statement or assertion can be critical to a useful understanding of its meaning. In huge knowledge bases such as the CYC project, capturing context explicitly encounters significant problems. Research at the intelligent Agent Lab at The University of Melbourne has been investigating lightweight approaches to incorporating context in the construction of knowledge-based information agents. The prototypical example of a successful agent built in the lab is SportsFinder. SportsFinder extracts sporting match results from a large variety of web sites without any formal knowledge representation. This is a task for which understanding the context of knowledge on the web pages is critical, as the individual elements that make u a page of sports results are very ambiguous without consideration of the surrounding information. This paper advocates incorporating context via a task specification, without resort to general purpose knowledge techniques.

关键词： intelligent agent

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Attribute reduction of rough sets in mining market value functions

Attribute reduction of rough sets in mining market value fun...

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IEEE/WIC International Conference on Web Intelligence, WI 2003

作者： Huang, Jiajin Liu, Chunnian Ou, Chuangxin Yao, Y.Y. Zhong, N. Mutimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina ReginaSKS4S 0A2 Canada Department of Information Engineering Macbashi Institute of Technology Maebashi-City371-0816 Japan

ISBN: (纸本)0769519326

The linear model of market value functions is a new method for direct marketing. Just like other methods in direct marketing, attribute reduction is very important to deal with large databases. We apply the algorithm of attribute reduction, which is based on the combination of rough set theory with the boosting algorithm, to the linear model of market value functions. Experimental results compared with the ELSA/ANN model show that the proposed algorithms can be used effectively in the linear model of market value functions. © 2003 IEEE.

关键词： Data mining

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Online recommendation based on customer shopping model in e-commerce 03

Online recommendation based on customer shopping model in e-...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Junzhong Ji Zhiqiang Sha Chunnian Liu Ning Zhong College of Computer Science and Technology Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology Beijing University of Technology Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi Japan

ISBN: (纸本)0769519326

As e-commerce developing rapidly, it is becoming a research focus about how to capture or find customer's behavior patterns and realize commerce intelligence by use of Web mining technology. Recommendation system in electronic commerce is one of the successful applications that are based on such mechanism. We present a new framework in recommendation system by finding customer model from business data. This framework formalizes the recommending process as knowledge representation of the customer shopping information and uncertainty knowledge inference process. In our approach, we firstly build a customer model based on Bayesian network by learning from customer shopping history data, then we present a recommendation algorithm based on probability inference in combination with the last shopping action of the customer, which can effectively and in real time generate a recommendation set of commodity.

关键词： Data mining Business Knowledge representation Collaboration Web mining Uncertainty Bayesian methods History Inference algorithms Filtering

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