Internet-scale pattern recognition : new techniques for voluminous data sets and data clouds / Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution
Material type:
Computer fileLanguage: English Publication details: Boca Raton, Fla. : CRC Press, 2013Description: 1 online resource (xviii, 179 pages)ISBN: - 9781466510975
- 006.312 M952
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E-Book
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Ranganathan Library | 006.312 M952 (Browse shelf(Opens below)) | Link to resource | Available | E01334 |
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| 006.312 LES Mining of massive database / | 006.312 M534 Data mining mobile devices / | 006.312 M697 Machine learning : algorithms and applications / | 006.312 M952 Internet-scale pattern recognition : new techniques for voluminous data sets and data clouds / | 006.312 MAH Data analytics / | 006.312 MAH Data analytics / | 006.312 MEM Data science : Theory analysis and applications / |
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
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