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Titlebook: Intelligent Science and Intelligent Data Engineering; Second Sino-foreign- Yanning Zhang,Zhi-Hua Zhou,Ying Li Conference proceedings 2012 S

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书目名称Intelligent Science and Intelligent Data Engineering
副标题Second Sino-foreign-
编辑Yanning Zhang,Zhi-Hua Zhou,Ying Li
视频video
概述Up-to-date results.Fast track conference proceedings.State-of-the-art report
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Science and Intelligent Data Engineering; Second Sino-foreign- Yanning Zhang,Zhi-Hua Zhou,Ying Li Conference proceedings 2012 S
描述This book constitutes the proceedings of the Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering, IScIDE 2011, held in Xi‘an, China, in October 2011. The 97 papers presented were carefully peer-reviewed and selected from 389 submissions. The IScIDE papers in this volume are organized in topical sections on machine learning and computational intelligence; pattern recognition; computer vision and image processing; graphics and computer visualization; knowledge discovering, data mining, web mining; multimedia processing and application.
出版日期Conference proceedings 2012
关键词clustering algorithms; complex systems; face tracking; feature selection; image segmentation
版次1
doihttps://doi.org/10.1007/978-3-642-31919-8
isbn_softcover978-3-642-31918-1
isbn_ebook978-3-642-31919-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Yanning Zhang,Zhi-Hua Zhou,Ying LiUp-to-date results.Fast track conference proceedings.State-of-the-art report
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/469952.jpg
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A Comparative Study of RPCL and MCE Based Discriminative Training Methods for LVCSRrison, both the two discriminative mechanisms are implemented at state level. The LVCSR results show that both MCE and RPCL perform better than Maximum Likelihood Estimation (MLE), while RPCL has better discriminative and generative abilities than MCE.
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The Regional Detection of 2D Barcode in Complicated Backgrounds of Metal Partsmachine methods integrated into cascade filter methods to position the region of 2D code, then employ clustering growth method. Our experiments reveals, compared with traditional method, our methods have achieved higher rate of detection with good robustness.
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