Machine Learning and Statistical Modeling Approaches to Image Retrieval (The Information Retrieval Series, 14)

Kluwer Academic Publishers

ISBN 10: 1402080344 / ISBN 13: 9781402080340

Edité par Springer, 2004

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Détails bibliographiques

Titre : Machine Learning and Statistical Modeling ...

Éditeur : Springer

Date d'édition : 2004

Reliure : Couverture rigide

Etat : Good

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Synopsis :

Machine Learning and Statistical Modeling Approaches to Image Retrieval The establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing. This book describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system.

Présentation de l'éditeur:

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.