Internet-Scale Pattern Recognition

Book description

For machine intelligence applications to work successfully, machines must perform reliably under variations of data and must be able to keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational models that address performance and scalability to achieve higher levels

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