Machine learning and statistical approaches to image retrieval
- 作者: Chen, Yixin,
- 其他作者: Li, Jia, , Wang, James Z.,
- 出版: Boston ;London : Kluwer Academic Publishers ©2004.
- 稽核項: 1 online resource (xv, 182 pages) :illustrations.
- 叢書名: Kluwer international series on information retrieval ;14
- 標題: Machine learning. , Apprentissage automatique. , Image processing Digital techniques. , Traitement d'images Techniques numériques. , Digital techniques. , Electronic books. , digital imaging. , Traitement d'images , Techniques numériques. , Image processing
- ISBN: 1402080352 , 9781402080357
- ISBN: 1402080344 , 9781402080340
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Preface -- Introduction -- Image Retrieval and Linguistic Indexing -- Machine Learning and Statistical Modeling -- A Robust Region-Based Similarity Measure -- Cluster-Based Retrieval by Unsupervised Learning -- Categorization by Learning and Reasoning with Regions -- Automatic Linguistic Indexing of Pictures -- Modeling Ancient Paintings -- Conclusions and Future Work -- References -- Index.
- 摘要: 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.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=114049
- 系統號: 005320771
- 資料類型: 電子書
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- 引用網址: 複製連結
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.
來源: Google Book
來源: Google Book
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