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

By: Muhamad Amin, Anang Hudaya [author.].
Contributor(s): Khan, Asad | Nasution, Benny.
Material type: materialTypeLabelBookPublisher: Boca Raton, Fla. : CRC Press, 2013Description: 1 online resource (xviii, 179 pages).ISBN: 9780429096471.Subject(s): Web usage mining | Mathematical statistics -- Data processing | Data mining | Pattern recognition systemsAdditional physical formats: Print version: : No titleDDC classification: 006.312 Online resources: Click here to view.
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.

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.

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