Machine Learning and Image Interpretation

  • Terry Caelli
  • Walter F. Bischof

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Terry Caelli, Walter F. Bischof
    Pages 1-16
  3. Adrian R. Pearce, Terry Caelli
    Pages 67-118
  4. Craig Dillon, Terry Caelli
    Pages 119-187
  5. Tom Drummond, Terry Caelli
    Pages 189-224
  6. Sandy Dance, Terry Caelli
    Pages 225-254
  7. David McG. Squire, Terry Caelli
    Pages 255-308
  8. Garry Briscoe, Terry Caelli
    Pages 309-375
  9. Back Matter
    Pages 377-423

About this book

Introduction

In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.

Keywords

computer development machine learning object recognition tables

Authors and affiliations

  • Terry Caelli
    • 1
  • Walter F. Bischof
    • 1
  1. 1.Curtin University of TechnologyPerthAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4899-1816-1
  • Copyright Information Springer-Verlag US 1997
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4899-1818-5
  • Online ISBN 978-1-4899-1816-1
  • About this book