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Information Retrieval

By: Yixin Chen, Jia Li, James Z. Wang

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Hardcover | 27 May 2004

At a Glance

Hardcover
204 Pages

Dimensions(cm)
23.5 x 15.88 x 1.91

Hardcover

$169.75

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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. Machine Learning and Statistical Modeling Approaches to Image Retrieval is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and electrical engineering.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Mathematical Theory of Computation Image Processing Engineering & Technology Technology in General Graphical & Digital Media Applications Science Physics Optical Physics Other Technologies & Applied Sciences

Applied Optics Laser Technology & Holography Artificial Intelligence Computer Vision Mathematics Probability & Statistics

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
Table of Contents provided by Publisher. All Rights Reserved.

Information Retrieval

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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