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 different ne...
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| Other Authors: | , |
| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton :
CRC Press
c2013.
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| Edition: | 1st edition |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628472306719 |
| 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-- |
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| Item Description: | A Chapman & Hall book. |
| Physical Description: | 1 online resource (196 p.) |
| Bibliography: | Includes bibliographical references (p. 167-175) and index. |
| ISBN: | 9780429096471 9781466510975 |
