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Machine learning and statistical 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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Chen, Yixin, 1972-
Otros Autores: Li, Jia, 1974-, Wang, James Z., 1972-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston ; London : Kluwer Academic Publishers, ©2004.
Colección:Kluwer international series on information retrieval ; 14.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Chen, Yixin,  |d 1972- 
245 1 0 |a Machine learning and statistical approaches to image retrieval /  |c Yixin Chen, Jia Li, James Z. Wang. 
260 |a Boston ;  |a London :  |b Kluwer Academic Publishers,  |c ©2004. 
300 |a 1 online resource (xv, 182 pages) :  |b illustrations 
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490 1 |a Kluwer international series on information retrieval ;  |v 14 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a 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. 
520 |a 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. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Image processing  |x Digital techniques. 
650 0 |a Machine learning. 
650 6 |a Traitement d'images  |x Techniques numériques. 
650 6 |a Apprentissage automatique. 
650 7 |a digital imaging.  |2 aat 
650 7 |a Image processing  |x Digital techniques  |2 fast 
650 7 |a Machine learning  |2 fast 
700 1 |a Li, Jia,  |d 1974- 
700 1 |a Wang, James Z.,  |d 1972- 
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776 0 8 |i Print version:  |a Chen, Yixin, 1972-  |t Machine learning and statistical approaches to image retrieval.  |d Boston ; London : Kluwer Academic Publishers, ©2004  |w (DLC) 2004050719 
830 0 |a Kluwer international series on information retrieval ;  |v 14. 
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