Frontiers of Pattern Recognition
eBook - PDF

Frontiers of Pattern Recognition

The Proceedings of the International Conference on Frontiers of Pattern Recognition

  1. 614 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Frontiers of Pattern Recognition

The Proceedings of the International Conference on Frontiers of Pattern Recognition

About this book

Frontiers of Pattern Recognition contains the proceedings of the International Conference on Frontiers of Pattern Recognition which took place on January 18-20, 1971, at the University of Hawaii, Honolulu. The compendium consists of 30 papers from authorities from eleven different countries, which describe the frontiers of pattern recognition as viewed from diverse viewpoints. Topics discussed include some techniques for recognizing structures in pictures, grammatical inference, syntactic pattern recognition and stochastic languages, and pattern cognition and the organization of information. Also covered are subjects on human face recognition, cluster analysis, and learning algorithms of pattern recognition in non-stationary conditions. Computer scientists, mathematicians, statisticians, linguists, and psychologists will find the book informative.

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Yes, you can access Frontiers of Pattern Recognition by Satosi Watanabe in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780127371405
eBook ISBN
9781483268941
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Frontiers of Pattern Recognition
  3. Copyright Page
  4. Table of Contents
  5. CONTRIBUTORS
  6. PREFACE
  7. CHAPTER 1. SOME TECHNIQUES FOR RECOGNISING STRUCTURES IN PICTURES
  8. CHAPTER 2. A SURVEY OF RESULTS IN GRAMMATICAL INFERENCE
  9. CHAPTER 3. THE SELECTION OF EFFECTIVE ATTRIBUTES FOR DECIDING BETWEEN HYPOTHESES USING LINEAR DISCRIMINANT FUNCTIONS
  10. CHAPTER 4. BOUNDARY DETECTION OF RADIOGRAPHIC IMAGES BY A THRESHOLD METHOD
  11. CHAPTER 5. A HIERARCHY OF PROBABILITY DENSITY FUNCTION ESTIMATES
  12. CHAPTER 6. ON EMBEDDING HEURISTICS AND INCLUDING COMPLEXITY CONSTRAINTS INTO CONVERGENT LEARNING ALGORITHMS
  13. CHAPTER 7. ON SYNTACTIC PATTERN RECOGNITION AND STOCHASTIC LANGUAGES
  14. CHAPTER 8. COMPUTER IDENTIFICATION OF BACTERIA BY COLONY MORPHOLOGY
  15. CHAPTER 9. ON LINGUISTIC, STATISTICAL AND MIXED MODELS FOR PATTERN RECOGNITION
  16. CHAPTER 10. PATTERN COGNITION AND THE ORGANIZATION OF INFORMATION
  17. CHAPTER 11. EXPERIMENTS WITH AN ON-LINE PICTURE LANGUAGE
  18. CHAPTER 12. A BASIC STUDY ON HUMAN FACE RECOGNITION
  19. CHAPTER 13. CLUSTER ANALYSIS
  20. CHAPTER 14. ADAPTIVE PATTERN RECOGNITION: A STATE-VARIABLE APPROACH
  21. CHAPTER 15. ON THE COMPUTATION OF SHAPE
  22. CHAPTER 16. A "CRISIS" IN THE THEORY OF PATTERN RECOGNITION
  23. CHAPTER 17. HEURISTIC USE OF IMAGE PROCESSING TECHNIQUE FOR THEORETICAL STUDIES OF AUTOMATA
  24. CHAPTER 18. RELATIONSHIP BETWEEN ORGANIZING CAPABILITY AND INFORMATION UTILIZED FOR SYSTEM ORGANIZATION
  25. CHAPTER 19. A PRIORI PROBLEM KNOWLEDGE AND TRAINING SAMPLES
  26. CHAPTER 20. STRUCTURAL PATTERN RECOGNITION: PRIMITIVES AND JUXTAPOSITION RELATIONS
  27. CHAPTER 21. PATTERN RECOGNITION AND GROUP THEORY
  28. CHAPTER 22. BOUNDS ON THE COMPLEXITY OF GRAMMARS
  29. CHAPTER 23. PICTURE GRAPHS, GRAMMARS, AND PARSING
  30. CHAPTER 24. SAMPLE SET CONDENSATION FOR A CONDENSED NEAREST NEIGHBOR DECISION RULE FOR PATTERN RECOGNITION
  31. CHAPTER 25. LEARNING ALGORITHMS OF PATTERN RECOGNITION IN NON-STATIONARY CONDITIONS
  32. CHAPTER 26. IDEALISED PATTERN RECOGNITION
  33. CHAPTER 27. PATTERN RECOGNITION AS INFORMATION COMPRESSION
  34. CHAPTER 28. SCENE UNDERSTANDING SYSTEMS
  35. CHAPTER 29. LEAST-MEAN-SQUARE APPROACH TO PATTERN CLASSIFICATION
  36. CLOSING REMARKS
  37. AUTHOR INDEX
  38. SUBJECT INDEX