Internet-scale pattern recognition new techniques for voluminous data sets and data clouds

"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 differ...

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Bibliographic Details
Main Author: Muhamad Amin, Anang Hudaya
Other Authors: Khan, Asad, Nasution, Benny
Format: eBook
Language:English
Published: Boca Raton, FL CRC Press 2013
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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"--
Physical Description:xviii, 179 pages illustrations
ISBN:1466510978
9781466510975