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Titlebook: Machine Learning and Statistical Modeling Approaches to Image Retrieval; Yixin Chen,Jia Li,James Z. Wang Book 2004 Springer Science+Busine

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發(fā)表于 2025-3-21 18:23:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning and Statistical Modeling Approaches to Image Retrieval
編輯Yixin Chen,Jia Li,James Z. Wang
視頻videohttp://file.papertrans.cn/621/620576/620576.mp4
叢書名稱The Information Retrieval Series
圖書封面Titlebook: Machine Learning and Statistical Modeling Approaches to Image Retrieval;  Yixin Chen,Jia Li,James Z. Wang Book 2004 Springer Science+Busine
描述In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. .Machine Learning and Statistical Modeling Approaches to Image Retrieval. describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors‘ experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well. .
出版日期Book 2004
關(guān)鍵詞Hidden Markov Model; LED; Performance; algorithms; classification; clustering; complexity; fuzzy; fuzzy syst
版次1
doihttps://doi.org/10.1007/b116104
isbn_softcover978-1-4757-7930-1
isbn_ebook978-1-4020-8035-7Series ISSN 1871-7500 Series E-ISSN 2730-6836
issn_series 1871-7500
copyrightSpringer Science+Business Media New York 2004
The information of publication is updating

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s thus an enabling technology in the life cycle field. This paper discusses the development of the UPLCI structure, recent successful efforts in verifying/improving UPLCI, the challenges of linking these in sequences to represent plants, and combining the manufacturing and the supply chain life cycl
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in den Stand der St?dte im Provinziallandtag erhoben, erhielten aber erst 1857 das Stadtrecht mit eigener Verwaltung, die ihnen aber 1939 von den damaligen Machthabern durch die ?Einamtung“ nach Monheim wieder streitig gemacht und 1960 durch Eingemeindung g?nzlich genommen wurde. Seit 1975 nun ist
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發(fā)表于 2025-3-22 09:02:14 | 只看該作者
in den Stand der St?dte im Provinziallandtag erhoben, erhielten aber erst 1857 das Stadtrecht mit eigener Verwaltung, die ihnen aber 1939 von den damaligen Machthabern durch die ?Einamtung“ nach Monheim wieder streitig gemacht und 1960 durch Eingemeindung g?nzlich genommen wurde. Seit 1975 nun ist
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ssful school systems have in common including revised curriculum standards, a reliable assessment system, technical skills of teachers and school leaders, a comprehensive data system, rewards and remuneration o978-94-6300-651-4
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Book 2004rning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors‘ experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well. .
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A Robust Region-Based Similarity Measure, regions with crisp-valued feature representations, the UFM measure greatly reduces the influence of inaccurate segmentation, and provides a very intuitive quantification. The UFM has been implemented as a part of our experimental SIMPLIcity image retrieval system. The performance of the system is i
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發(fā)表于 2025-3-23 07:32:19 | 只看該作者
Cluster-Based Retrieval by Unsupervised Learning,imental image retrieval system using CLUE is evaluated on a database of around 60,000 images from COREL. Empirical results demonstrate improved performance compared with a CBIR system using the same image similarity measure. In addition, results on images returned by Google’s Image Search reveal the
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