Internet-Scale Pattern Recognition

Book description

Based on the authors' research from the past 10 years, this book unveils computational models that address performance and scalability to achieve higher levels of reliability. Drawing on concepts from pattern recognition, parallel processing, distributed systems, and data networks, it explores different ways of implementing pattern recognition using machine intelligence. The authors offer an extendable template for Internet-scale pattern recognition applications as well as guidance on the programming of large networks of devices.

Table of contents

  1. Front Cover (1/2)
  2. Front Cover (2/2)
  3. Contents
  4. Preface
  5. Acknowledgments
  6. About the Authors
  7. Part I: Recognition: A New Perspective
  8. Chapter 1: Introduction (1/3)
  9. Chapter 1: Introduction (2/3)
  10. Chapter 1: Introduction (3/3)
  11. Chapter 2: Distributed Approach for Pattern Recognition (1/4)
  12. Chapter 2: Distributed Approach for Pattern Recognition (2/4)
  13. Chapter 2: Distributed Approach for Pattern Recognition (3/4)
  14. Chapter 2: Distributed Approach for Pattern Recognition (4/4)
  15. Part II: Evolution of Internet-Scale Recognition
  16. Chapter 3: One-Shot Learning Considerations (1/3)
  17. Chapter 3: One-Shot Learning Considerations (2/3)
  18. Chapter 3: One-Shot Learning Considerations (3/3)
  19. Chapter 4: Hierarchical Model for Pattern Recognition (1/5)
  20. Chapter 4: Hierarchical Model for Pattern Recognition (2/5)
  21. Chapter 4: Hierarchical Model for Pattern Recognition (3/5)
  22. Chapter 4: Hierarchical Model for Pattern Recognition (4/5)
  23. Chapter 4: Hierarchical Model for Pattern Recognition (5/5)
  24. Chapter 5: Recognition via Divide-and-Distribute Approach (1/4)
  25. Chapter 5: Recognition via Divide-and-Distribute Approach (2/4)
  26. Chapter 5: Recognition via Divide-and-Distribute Approach (3/4)
  27. Chapter 5: Recognition via Divide-and-Distribute Approach (4/4)
  28. Part III: Systems and Tools
  29. Chapter 6: Internet-Scale Applications Development (1/3)
  30. Chapter 6: Internet-Scale Applications Development (2/3)
  31. Chapter 6: Internet-Scale Applications Development (3/3)
  32. Part IV: Implementations and Applications
  33. Chapter 7: Multi-Feature Classifications for Complex Data (1/3)
  34. Chapter 7: Multi-Feature Classifications for Complex Data (2/3)
  35. Chapter 7: Multi-Feature Classifications for Complex Data (3/3)
  36. Chapter 8: Pattern Recognition within Coarse-Grained Networks (1/4)
  37. Chapter 8: Pattern Recognition within Coarse-Grained Networks (2/4)
  38. Chapter 8: Pattern Recognition within Coarse-Grained Networks (3/4)
  39. Chapter 8: Pattern Recognition within Coarse-Grained Networks (4/4)
  40. Chapter 9: Event Detection within Fine-Grained Networks (1/4)
  41. Chapter 9: Event Detection within Fine-Grained Networks (2/4)
  42. Chapter 9: Event Detection within Fine-Grained Networks (3/4)
  43. Chapter 9: Event Detection within Fine-Grained Networks (4/4)
  44. Part V: The Way Forward
  45. Chapter 10: Recognition: The Future and Beyond (1/2)
  46. Chapter 10: Recognition: The Future and Beyond (2/2)
  47. Bibliography (1/2)
  48. Bibliography (2/2)
  49. Back Cover

Product information

  • Title: Internet-Scale Pattern Recognition
  • Author(s): Anang Muhamad Amin, Asad Khan, Benny Nasution
  • Release date: November 2012
  • Publisher(s): Chapman and Hall/CRC
  • ISBN: 9781466510975