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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Muhamad Amin, Anang Hudaya
Otros Autores: Khan, Asad, Nasution, Benny
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, ©2013.
©2013
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"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"--
Descripción Física:1 online resource (xviii, 179 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:1466510978
9781466510975