ABSTRACT
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
part 1|2 pages
Part I: Recognition: A New Perspective
part 2|2 pages
Part II: Evolution of Internet-Scale Recognition
part 3|2 pages
Part III: Systems and Tools
part 4|2 pages
Part IV: Implementations and Applications
part 5|2 pages
Part V: The Way Forward