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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Detalles Bibliográficos
Autor principal: Muhamad Amin, Anang Hudaya (-)
Otros Autores: Khan, Asad, Nasution, Benny
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press c2013.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628472306719
Tabla de Contenidos:
  • Front Cover; Contents; Preface; Acknowledgments; About the Authors; Part I: Recognition: A New Perspective; Chapter 1: Introduction; Chapter 2: Distributed Approach for Pattern Recognition; Part II: Evolution of Internet-Scale Recognition; Chapter 3: One-Shot Learning Considerations; Chapter 4: Hierarchical Model for Pattern Recognition; Chapter 5: Recognition via Divide-and-Distribute Approach; Part III: Systems and Tools; Chapter 6: Internet-Scale Applications Development; Part IV: Implementations and Applications; Chapter 7: Multi-Feature Classifications for Complex Data
  • Chapter 8: Pattern Recognition within Coarse-Grained NetworksChapter 9: Event Detection within Fine-Grained Networks; Part V: The Way Forward; Chapter 10: Recognition: The Future and Beyond; Bibliography; Back Cover