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Internet-scale pattern recognition [electronic resource] : new techniques for voluminous data sets and data clouds / Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution.

By: Muhamad Amin, Anang Hudaya.
Contributor(s): Khan, Asad | Nasution, Benny.
Material type: materialTypeLabelBookPublisher: Boca Raton, Fla. : CRC Press, 2013Description: xviii, 179 p. : ill.ISBN: 9781466510975 (ebook : PDF).Subject(s): Data mining | Pattern recognition systems | Web usage mining | Mathematical statistics -- Data processingGenre/Form: Electronic books.Additional physical formats: No titleOnline resources: Distributed by publisher. Purchase or institutional license may be required for access. Also available in print edition.
Contents:
1. Recognition : a new perspective -- 2. Evolution of internet-scale recognition -- 3. Systems and tools -- 4. Implementations and applications -- 5. The way forward.
Summary: "This cutting-edge reference outlines the underlying theory and principles of efficient and effective distributed pattern recognition involving one-shot learning and in-network processing for different types of applications, including multimedia retrieval systems and event detection over different network environments. Investigating one-shot learning and in-network processing as complementary mechanisms for efficient and accurate distributed pattern analyses, it presents the technical aspects related to the development of scalable pattern recognition using a number of contemporary application development tools. It also considers scalability of pattern recognition schemes when dealing with such data"-- Provided by publisher.
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"A Chapman & Hall book."

Includes bibliographical references and index.

1. Recognition : a new perspective -- 2. Evolution of internet-scale recognition -- 3. Systems and tools -- 4. Implementations and applications -- 5. The way forward.

"This cutting-edge reference outlines the underlying theory and principles of efficient and effective distributed pattern recognition involving one-shot learning and in-network processing for different types of applications, including multimedia retrieval systems and event detection over different network environments. Investigating one-shot learning and in-network processing as complementary mechanisms for efficient and accurate distributed pattern analyses, it presents the technical aspects related to the development of scalable pattern recognition using a number of contemporary application development tools. It also considers scalability of pattern recognition schemes when dealing with such data"-- Provided by publisher.

Also available in print edition.

Mode of access: World Wide Web.

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Khulna University of Engineering & Technology
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