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Lecture Notes in Computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2006年 4289 LNAI卷 v-vi页

作者： Berendt, Bettina Hotho, Andreas Mladenič, Dunja Semeraro, Giovanni Spiliopoulou, Myra Stumme, Gerd Van Someren, Maarten Ackermann, Markus Grobelnik, Marko Svátek, Vojtěch Institute of Information Systems Humboldt University Berlin Germany Knowledge and Data Engineering Group University of Kassel Germany J. Stefan Institute Ljubljana Slovenia Department of Informatics University of Bari Italy Faculty of Computer Science Otto-von-Guericke-Univ. Magdeburg Germany Informatics Institute University of Amsterdam Netherlands Dept. of Natural Language Processing Institute for Computer Science University of Leipzig Germany University of Economics Prague Czech Republic

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Background subtraction under varying illumination

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systems and Computers in Japan 2006年第4期37卷 77-88页

作者： Matsuyama, Takashi Wada, Toshikazu Habe, Hitoshi Tanahashi, Kazuya Graduate School of Informatics Kyoto University Kyoto 606-8501 Japan Mitsubishi Electric Corporation NTT Data Corporation Department of Intelligence Science and Technology Graduate School of Informatics Kyoto University International Association for Pattern Recognition IEICE Information Processing Society of Japan Japanese Society for Artificial Intelligence IEEE Computer Society Department of Computer and Communication Sciences Faculty of Systems Engineering Wakayama University IEEE

Background subtraction is widely used as an effective method for detecting moving objects in a video image. However, background subtraction requires a prerequisite in that image variation cannot be observed, and the range of application is limited. Proposed in this research paper is a method for detecting moving objects by using background subtraction that can be applied to cases in which the image has varied due to varying illumination. This method is based on two object detection methods that are based on different lines of thinking. One method compares the background image and the observed image using invariant features of illumination. The other method estimates the illumination conditions of the observed image and normalizes the brightness before carrying out background subtraction. These two methods are complementary, and highly precise detection results can be obtained by ultimately integrating the detection results of both methods. © 2006 Wiley Periodicals, Inc.

关键词： Lighting

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Topic-oriented mining and reasoning

Topic-oriented mining and reasoning

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2005 International Conference on Active Media Technology, AMT 2005

作者： Li, Yuefeng Zhong, Ning Yao, Y.Y. School of Software Engineering and Data Communications Queensland University of Technology Brisbane QLD 4001 Australia Department of Systems and Information Engineering Maebashi Institute of Technology Japan Department of Computer Science University of Regina Canada

ISBN: (纸本)0780390350

The discovery of the association between terms and a specified topic is a difficult task. A new data mining technique, topic-oriented mining and reasoning, is presented for this task. The technique consists of two threads: pattern mining and pattern reasoning. Pattern mining means the automatic discovery of interesting user topic models. A novel topic structure is presented for this thread. Pattern reasoning means the utilization and maintenance of the interesting user topic models to determine if an input data is relevant to the specified topic. The innovation for this thread is the use of Meta-knowledge for the discovered knowledge. In this way the system can trace errors to update inadequate subtopics in the user topic model. The experimental results show that all objectives we expect for the topic-oriented model are achievable. © 2005 IEEE.

关键词： data mining

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A sensor web observing system simulator

A sensor web observing system simulator

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InfoTech at Aerospace: Advancing Contemporary Aerospace Technologies and Their Integration

作者： Talabac, Stephen J. Seablom, Michael S. Higgins, Glenn J. Womack, Brice T. NASA Goddard Space Flight Center Greenbelt MD 20771 United States Northrop Grumman IT TASC Chantilly VA 20151 United States Sensor Web Information Systems Science Data Systems Branch Code 586 United States Software Integration and Visualization Office Code 610.3 United States Atmospheric Sciences and Engineering Department Northrop Grumman IT TASC United States Science Systems Engineering Northrop Grumman IT TASC United States

ISBN: (纸本)1563477394

Sensor Web observing systems may have the potential to significantly improve our ability to monitor, understand, and predict the evolution of rapidly evolving, transient, or variable environmental features and events. This improvement will come about by integrating novel data collection techniques, new improved instruments, emerging communications technologies, and interoperable planning and scheduling systems. In contrast with today's observing systems, "event-driven" sensor webs will synthesize near-real time measurements and information from other platforms and then reconfigure themselves to invoke new measurement modes and adaptive observation strategies. Meteorological prediction models may also serve to initiate new measurement modes (e.g., higher spatial, temporal resolution) or to target observations to specific regions. These "model-driven" sensor webs will complement event-driven measurements. Platforms will be tasked to target measurements within specific areas where sensitivity to initial conditions may cause ensemble forecasts to diverge when predicting the future state of atmospheric features (e.g., hurricane track) or when discriminating subtle yet critical differences in atmospheric states (e.g., winter precipitation type and location). The targeted measurements would then be assimilated to establish new initial conditions. This operations concept could contribute to reducing forecast model error growth, and concomitantly, forecast uncertainty. The sensor web concept contrasts with today's data collection techniques and observing system operations concepts. Although the technologies and capabilities of our space-, atmospheric-, and surface-based platforms and instruments have evolved significantly during the past four decades, operations concepts for present day observing systems remain essentially unchanged: independent platforms and instruments characterize today's "distributed data collection" systems. information sharing between platforms and ins

关键词： Sensors

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Topic-oriented mining and reasoning

Topic-oriented mining and reasoning

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Proceedings of the International Conference on Active Media Technology, AMT

作者： Y. Li N. Zhong Y.Y. Yao School of Software Engineering and Data Communications Queensland University of Technology Brisbane QLD Australia Department of Systems and Information Engineering Maebashi Institute of Technology Japan Department of Computer Science University of Regina Canada

The discovery of the association between terms and a specified topic is a difficult task. A new data mining technique, topic-oriented mining and reasoning, is presented for this task. The technique consists of two threads: pattern mining and pattern reasoning. Pattern mining means the automatic discovery of interesting user topic models. A novel topic structure is presented for this thread. Pattern reasoning means the utilization and maintenance of the interesting user topic models to determine if an input data is relevant to the specified topic. The innovation for this thread is the use of meta-knowledge for the discovered knowledge. In this way the system can trace errors to update inadequate subtopics in the user topic model. The experimental results show that all objectives we expect for the topic-oriented model are achievable.

关键词： data mining Yarn Technological innovation Web mining Web pages Clustering methods Software engineering data communication Australia Error correction

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Network coding for wireless applications

Network coding for wireless applications

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Unmanned/Unattended Sensors and Sensor Networks II

作者： Lun, Desmond S. Ahmed, Ebad Brothers, L. Reggie DeBardelaben, James A. Effros, Michelle Ho, Tracey Karger, David Koetter, Ralf Lee, Anna MacMullan, Samuel J. Médard, Muriel Zhao, Fang Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA 02139 United States DARPA ATO 3701 N. Fairfax Dr. Arlington VA 22203 United States Johns Hopkins University Applied Physics Laboratory 11100 Johns Hopkins Rd. Laurel MD 20769 United States Data Compression Laboratory California Institute of Technology Pasadena CA 91125 United States Department of Electrical Engineering California Institute of Technology Pasadena CA 91125 United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA 02139 United States Coordinated Science Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 United States Lorenz Research Associates Inc. 4443 Brookfield Corporate Dr. Chantilly VA 20151 United States

The advent of network coding promises to change many aspects of networking. Network coding moves away from the classical approach of networking, which treats networks as akin to physical transportation systems. We overview some of the main features of network coding that are most relevant to wireless networks. In particular, we discuss the fact that random distributed network coding is asymptotically optimal for wireless networks with and without packet erasures. These results are extremely general and allow packet loss correlation, such as may occur in fading wireless channels. The coded network lends itself, for multicast connections, to a cost optimization which not only outperforms traditional routing tree-based approaches, but also lends itself to a distributed implementation and to a dynamic implementation when changing conditions, such as mobility, arise. We illustrate the performance of such optimization methods for energy efficiency in wireless networks and propose some new directions for research in the area.

关键词： Signal encoding

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Developing infrastructure for the evaluation of single and multi-document summarization systems in a cross-lingual environment 3

Developing infrastructure for the evaluation of single and m...

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3rd International Conference on Language Resources and Evaluation, LREC 2002

作者： Saggion, Horacio Radev, Dragomir Teufel, Simone Lam, Wai Strassel, Stephanie M. Department of Computer Science University of Sheffield 211 Portobello Street Sheffield EnglandS14DP United Kingdom School of Information Department of Electrical Engineering and Computer Science University of Michigan 550 E. University 3080West Hall Ann ArborMI48109-1092 United States Computer Laboratory Cambridge University JJ Thomson Avenue CambridgeCB30FD United Kingdom Department of Systems Engineering and Engineering Management Chinese University of Hong Kong Shatin Hong Kong Hong Kong Linguistic Data Consortium University of Pennsylvania 3615 Market Street PhiladelphiaPA19104 United States

We describe our work on the development of Language and Evaluation Resources for the evaluation of summaries in English and Chinese. The language resources include a parallel corpus of English and Chinese texts which are translations of each other, a set of queries in both languages, clusters of documents relevants to each query, sentence relevance measures for each sentence in the document clusters, and manual multi-document summaries at different compression rates. The evaluation resources consist of metrics for measuring the content of automatic summaries against reference summaries. The framework can be used in the evaluation of extractive, non-extractive, single and multi-document summarization. We focus on the resources developed that are made available for the research community.

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ViMPIOS, a "truly" portable MPI-IO implementation 8

ViMPIOS, a "truly" portable MPI-IO implementation

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8th Euromicro Workshop on Parallel and Distributed Processing, EURO-PDP 2000

作者： Stockinger, K. Schikuta, E. Institute for Applied Computer Science and Information Systems Department of Data Engineering University of Vienna Rathausstr. 19/4 ViennaA-1010 Austria IT Division CERN Geneva 23CH-1211 Switzerland

ISBN: (纸本)0769505007

We present ViMPIOS, a novel MPI-IO implementation based on ViPIOS, the Vienna Parallel Input Output System. ViMPIOS inherits the defining characteristics of ViPIOS, which makes it a client-server based system focusing on cluster architectures. ViMPIOS stands out from all other MPI-IO implementations by its "truly" portable design, which allows not only applications to be transferred between parallel architectures easily but also to keep their original performance characteristics on the new platform as far as possible. This is kept by the "smart" AI-blackboard module of ViPIOS, which is responsible for an appropriate data layout. Specifically in this paper we concentrate on the algorithm, which maps MPI-IO data structures on respective ViPIOS structures, and thus allows to exploit the ViPIOS properties. © 2000 IEEE.

关键词： Parallel architectures

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ViMPIOS, a "truly" portable MPI-IO implementation

ViMPIOS, a "truly" portable MPI-IO implementation

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Euromicro Workshop on Parallel and Distributed Processing

作者： K. Stockinger E. Schikuta IT Division CERN Geneva Switzerland Institute for Applied Computer Science and Information Systems Department of Data Engineering University of Technology Vienna Vienna Austria

关键词： data structures High performance computing Message passing Programming profession information systems data engineering Read only memory Bandwidth Libraries Parallel architectures

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Preface

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Lecture Notes in Computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2000年 1803卷 6-6页

作者： Cagnoni, Stefano Poli, Riccardo Li, Yun Smith, George Corne, David Oates, Martin Hart, Emma Lanzi, Pier Luca Boers, Egbert J. W. Paechter, Ben Fogarty, Terence C. University of Parma Department of Computer Engineering Parco delle Scienze 181/a Parma Italy The University of Birmingham School of Computer Science Edgbaston Birmingham United Kingdom University of Glasgow Electronics and Electrical Engineering Rankine Building Glasgow United Kingdom University of East Anglia Department of Information Systems Norwich United Kingdom University of Reading P.O. Box 225 Whiteknights Reading United Kingdom BT Labs at Adastral Park Dept. Complex Systems Laboratory Martlesham Heath Suffolk United Kingdom University of Edinburgh Division of Informatics 80 South Bridge Edinburgh United Kingdom Milan Polytechnic Department of Electronics and Informatics Piazza Leonard0 da Vinci 32 Milan Italy National Aerospace Laboratory NLR Data and Knowledge Systems Dept I.C.T. Division Anthony Fokkerweg 2 Amsterdam Netherlands Napier University School of Computing 219 Colinton Road Edinburgh United Kingdom South Bank University School of Computing Information Systems and Mathematics 103 Borough Road London United Kingdom

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