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Titlebook: Information Reuse and Integration in Academia and Industry; Tansel Özyer,Keivan Kianmehr,Jia Zeng Book 2013 Springer-Verlag Wien 2013 Auto

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书目名称Information Reuse and Integration in Academia and Industry
编辑Tansel Özyer,Keivan Kianmehr,Jia Zeng
视频video
概述Information capture, representation with simple, rich and maximized reusability.Information maintenance, validation and integration.Reusable systems, including software tools, web services and mining
图书封面Titlebook: Information Reuse and Integration in Academia and Industry;  Tansel Özyer,Keivan Kianmehr,Jia Zeng Book 2013 Springer-Verlag Wien 2013 Auto
描述.The present work covers the latest developments and discoveries related to information reuse and integration in academia and industrial settings.  The need for dealing with the large volumes of data being produced and stored in the last decades and the  numerous systems  developed to deal with these is increasingly necessary. Not all these developments could have been achieved without the investing large amounts of resources. Over time, new data sources evolve and data integration continues to be an essential and vital requirement. Furthermore, systems and products need to be revised to adapt new technologies and needs. Instead of building these from scratch, researchers in the academia and industry have realized the benefits of  reusing  existing components that  have been well tested. While this  trend avoids reinventing the wheel, it comes at the cost of finding the optimum set of existing components to be utilized and how they should be integrated together and with the new non-existing components which are to be developed. These  nontrivial tasks  have led to challenging research problems in the academia and industry. These issues are addressed in this book, which is intended
出版日期Book 2013
关键词Automation, Integration and Reuse Across Various Applications; Component-based Design and Reuse; Data
版次1
doihttps://doi.org/10.1007/978-3-7091-1538-1
isbn_softcover978-3-7091-4842-6
isbn_ebook978-3-7091-1538-1
copyrightSpringer-Verlag Wien 2013
The information of publication is updating

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Integration of Semantics Information and Clustering in Binary-Class Classification for Handling Imbare semantically related, and (ii) significantly reduce the number of data instances participating in the clustering step. Therefore, in this chapter, a novel binary-class classification framework that integrates the video semantics information and the clustering technique is proposed to address the
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Andrew Knight,Qi Yu,Manjeet Rege of computer-assisted treatment planning are discussed in the final section. This manual will provide an indispensable reference for residents in maxillofacial training and for maxillofacial/ neurosurgeons in the specialized field of craniofacial traumatology..978-3-662-50055-2978-3-540-33041-7
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