Advances in Information Systems Science

Information systems science embraces a broad spectrum of topics. It is vir­ tually impossible to provide comprehensive and in-depth discussion, other than simple recitals of recent results, of every important topic in each volume of this annual review series. Since we have chosen the former approach...

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Bibliographic Details
Main Author: Tou, Julius T.
Format: eBook
Language:English
Published: Boston, MA Springer US 1970, 1970
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Heuristics or Science?
  • 1. Introduction
  • 2. Principal Directions in Pattern Recognition
  • 3. Parametric Models of Signals
  • 4. The Method of Permissible Transformations
  • 5. Methods of Analyzing Complex Pictures
  • 6. Conclusions
  • References
  • 2 Feature Compression
  • 1. The Role of “Features” in Pattern Recognition
  • 2. A Concrete Example of Feature Compression—Handwritten ZIP Code Reader
  • 3. Discriminatory Feature Compression—SELFIC
  • 4. Characteristic Feature Compression—CLAFIC
  • 5. Implications of Subspace Model—Fuzzy Class
  • References
  • 3 Image Processing Principles and Techniques
  • 1. Introduction
  • 2. Filter Theory Applied to Images
  • 3. Statistical Decision Theory
  • 4. Adaptive Network Approaches
  • 5. Image Features
  • 6. Implementations: Staging
  • 7. Implementations: Parallelism
  • 8. Electrooptical Devices
  • 9. Digital Computers
  • 10. Optical Techniques
  • 11. Comparison of Implementations
  • 12. Conclusions
  • R