Machine Learning and Statistical Modeling Approaches to Image Retrieval:

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 retrieva...

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Bibliographische Detailangaben
Hauptverfasser: Chen, Yixin (VerfasserIn), Li, Jia (VerfasserIn), Wang, James Z. (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: New York, NY Springer US 2004
Ausgabe:1st ed. 2004
Schriftenreihe:The Information Retrieval Series 14
Schlagworte:
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Zusammenfassung: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
Beschreibung:1 Online-Ressource (XVII, 182 p)
ISBN:9781402080357
DOI:10.1007/b116104

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