| Description |
1 online resource (xviii, 179 pages) : illustrations |
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text file |
| 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. |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
1. Recognition : a new perspective -- 2. Evolution of internet-scale recognition -- 3. Systems and tools -- 4. Implementations and applications -- 5. The way forward. |
| Language |
English. |
| Subject |
Data mining.
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Pattern recognition systems.
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Web usage mining.
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Mathematical statistics -- Data processing.
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Exploration de données (Informatique) |
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Reconnaissance des formes (Informatique) |
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Analyse du comportement des internautes. |
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Statistique mathématique -- Informatique. |
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Data mining |
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Mathematical statistics -- Data processing |
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Pattern recognition systems |
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Web usage mining |
| Added Author |
Khan, Asad.
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Nasution, Benny.
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| Other Form: |
Print version: Muhamad Amin, Anang Hudaya. Internet-scale pattern recognition. Boca Raton : CRC Press, ©2013 9781466510968 (DLC) 2012031622 (OCoLC)761853201 |
| ISBN |
1466510978 (electronic bk.) |
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9781466510975 (electronic bk.) |
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(hardback) |
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(hardback) |
| Standard No. |
10.1201/b12989 doi |
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