Internet-scale pattern recognition : new techniques for voluminous data sets and data clouds /
Amin, Anang Hudaya Muhamad
Internet-scale pattern recognition : new techniques for voluminous data sets and data clouds / Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution - Boca Raton, Fla. : CRC Press, 2013 - 1 online resource (xviii, 179 pages)
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
9781466510975
Data mining
Mathematical statistics
Web usage mining
Pattern recognition systems
006.312 / M952
Internet-scale pattern recognition : new techniques for voluminous data sets and data clouds / Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution - Boca Raton, Fla. : CRC Press, 2013 - 1 online resource (xviii, 179 pages)
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
9781466510975
Data mining
Mathematical statistics
Web usage mining
Pattern recognition systems
006.312 / M952