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
- Front Cover (1/2)
- Front Cover (2/2)
- Contents
- Preface
- Acknowledgments
- About the Authors
- Part I: Recognition: A New Perspective
- Chapter 1: Introduction (1/3)
- Chapter 1: Introduction (2/3)
- Chapter 1: Introduction (3/3)
- Chapter 2: Distributed Approach for Pattern Recognition (1/4)
- Chapter 2: Distributed Approach for Pattern Recognition (2/4)
- Chapter 2: Distributed Approach for Pattern Recognition (3/4)
- Chapter 2: Distributed Approach for Pattern Recognition (4/4)
- Part II: Evolution of Internet-Scale Recognition
- Chapter 3: One-Shot Learning Considerations (1/3)
- Chapter 3: One-Shot Learning Considerations (2/3)
- Chapter 3: One-Shot Learning Considerations (3/3)
- Chapter 4: Hierarchical Model for Pattern Recognition (1/5)
- Chapter 4: Hierarchical Model for Pattern Recognition (2/5)
- Chapter 4: Hierarchical Model for Pattern Recognition (3/5)
- Chapter 4: Hierarchical Model for Pattern Recognition (4/5)
- Chapter 4: Hierarchical Model for Pattern Recognition (5/5)
- Chapter 5: Recognition via Divide-and-Distribute Approach (1/4)
- Chapter 5: Recognition via Divide-and-Distribute Approach (2/4)
- Chapter 5: Recognition via Divide-and-Distribute Approach (3/4)
- Chapter 5: Recognition via Divide-and-Distribute Approach (4/4)
- Part III: Systems and Tools
- Chapter 6: Internet-Scale Applications Development (1/3)
- Chapter 6: Internet-Scale Applications Development (2/3)
- Chapter 6: Internet-Scale Applications Development (3/3)
- Part IV: Implementations and Applications
- Chapter 7: Multi-Feature Classifications for Complex Data (1/3)
- Chapter 7: Multi-Feature Classifications for Complex Data (2/3)
- Chapter 7: Multi-Feature Classifications for Complex Data (3/3)
- Chapter 8: Pattern Recognition within Coarse-Grained Networks (1/4)
- Chapter 8: Pattern Recognition within Coarse-Grained Networks (2/4)
- Chapter 8: Pattern Recognition within Coarse-Grained Networks (3/4)
- Chapter 8: Pattern Recognition within Coarse-Grained Networks (4/4)
- Chapter 9: Event Detection within Fine-Grained Networks (1/4)
- Chapter 9: Event Detection within Fine-Grained Networks (2/4)
- Chapter 9: Event Detection within Fine-Grained Networks (3/4)
- Chapter 9: Event Detection within Fine-Grained Networks (4/4)
- Part V: The Way Forward
- Chapter 10: Recognition: The Future and Beyond (1/2)
- Chapter 10: Recognition: The Future and Beyond (2/2)
- Bibliography (1/2)
- Bibliography (2/2)
- Back Cover
Product information
- Title: Internet-Scale Pattern Recognition
- Author(s):
- Release date: November 2012
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781466510975
You might also like
book
Bio-Inspired Computing and Networking
Seeking new methods to satisfy increasing communication demands, researchers continue to find inspiration from the complex …
book
Real-Time Simulation Technologies: Principles, Methodologies, and Applications
Real-Time Simulation Technologies: Principles, Methodologies, and Applications is an edited compilation of work that explores fundamental …
book
Modern JavaScript for the Impatient
Exploit the Power of Modern JavaScript and Avoid the Pitfalls JavaScript was originally designed for small-scale …
book
Node.js Design Patterns - Third Edition
Learn proven patterns, techniques, and tricks to take full advantage of the Node.js platform. Master well-known …