
- 632 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Pattern Recognition and Artificial Intelligence
About this book
Pattern Recognition and Artificial Intelligence contains the proceedings of the Joint Workshop on Pattern Recognition and Artificial Intelligence held in Hyannis, Massachusetts, on June 1-3, 1976. The papers explore developments in pattern recognition and artificial intelligence and cover topics ranging from scene analysis and data structure to syntactic methods, biomedicine, speech recognition, game-playing programs, and computer graphics. Grammar inference methods, image segmentation and interpretation, and relational databases are also discussed. This book is comprised of 29 chapters and begins with a description of a data structure that can learn simple programs from training samples. The reader is then introduced to the syntactic parts of pattern recognition systems; methods for multidimensional grammatical inference; a scene analysis system capable of finding structure in outdoor scenes; and a language called DEDUCE for relational databases. A sculptor's studio-like environment, in which the ""sculptor"" can create complex three-dimensional objects in the computer similar to molding a piece of clay in the machine, is also described. The remaining chapters focus on statistical and structural feature extraction; use of maximum likelihood functions for recognition of highly variable line drawings; region extraction using boundary following; and interactive screening of reconnaissance imagery. This monograph will be of interest to engineers, graduate students, and researchers in the fields of pattern recognition and artificial intelligence.
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Yes, you can access Pattern Recognition and Artificial Intelligence by C.H. Chen in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Engineering General. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Pattern Recognition and Artificial Intelligenc
- Copyright Page
- Table of Contents
- LIST OF CONTRIBUTORS
- PREFACE
- CHAPTER 1. A DATA STRUCTURE WHICH CAN LEARN SIMPLE PROGRAMS FROM EXAMPLES OF INPUT-OUTPUT
- CHAPTER 2. TIME/SPACE TRADEOFF FROM THE VIEWPOINT OF GRAMMATICAL SIMILARITY
- CHAPTER 3. SOME MULTIDIMENSIONAL GRAMMAR INFERENCE METHODS
- CHAPTER 4. FINDING STRUCTURE IN OUTDOOR SCENES
- CHAPTER 5. MOLDING COMPUTER CLAY - STEPS TOWARD A COMPUTER GRAPHICS SCULPTORS' STUDIO
- CHAPTER 6. DEDUCE --- A DEDUCTIVE QUERY LANGUAGE FOR RELATIONAL DATA BASES
- CHAPTER 7. ON STATISTICAL AND STRUCTURAL FEATURE EXTRACTION
- CHAPTER 8. ON THE RECOGNITION OF HIGHLY VARIABLE LINE DRAWINGS THROUGH USE OF MAXIMUM LIKELIHOOD FUNCTIONS
- CHAPTER 9. A MINICOMPUTER BASED REAL TIME EYE TRACKING SYSTEM FOR PATTERN RECOGNITION APPLICATIONS
- CHAPTER 10. DESIGN OF OPTIMAL FEATURE EXTRACTORS BY MATHEMATICAL PROGRAMMING TECHNIQUES
- CHAPTER 11. TYPOLOGICAL SELECTION OF PARAMETERS
- CHAPTER 12. REGION EXTRACTION USING BOUNDARY FOLLOWING
- CHAPTER 13. COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER FROM THERMOGRAPHY
- CHAPTER 14. STRUCTURAL ISOMORPHISM OF PICTURE GRAPHS
- CHAPTER 15. TREE LANGUAGES AND SYNTACTIC PATTERN RECOGNITION
- CHAPTER 16. ACQUISITION AND UTILIZATION OF ACCESS PATTERNS IN RELATIONAL DATA BASE IMPLEMENTATION
- CHAPTER 17. PATTERNS OF INDUCTION AND ASSOCIATED KNOWLEDGE ACQUISTION ALGORITHMS
- CHAPTER 18. PICTORIAL MEDICAL PATTERN RECOGNITION
- CHAPTER 19. DISTANCE MEASURES FOR SPEECH RECOGNITION - PSYCHOLOGICAL AND INSTRUMENTAL
- CHAPTER 20. SYNTACTIC PATTERN RECOGNITION ON THE BASIS OF FUNCTIONAL APPROXIMATION
- CHAPTER 21. A PROGRAM FOR LEARNING TO PLAY CHESS
- CHAPTER 22. INTERACTIVE SCREENING OF RECONNAISSANCE IMAGERY
- CHAPTER 23. AN ICONIC/SYMBOLIC DATA STRUCTURING SCHEME
- CHAPTER 24. IGS: A PARADIGM FOR INTEGRATING IMAGE SEGMENTATION AND INTERPRETATION
- CHAPTER 25. PATTERN RECOGNITION USING DEGENERATE REFERENCE DATA
- CHAPTER 26. SERIAL PATTERN ACQUISITION: A PRODUCTION SYSTEM APPROACH
- CHAPTER 27. DABI—A DATA BASE FOR IMAGE ANALYSIS WITH NONDETERMINISTIC INFERENCE CAPABILITY
- CHAPTER 28. APPENDIX A. EXAMPLE OF A GENERIC MODEL
- CHAPTER 29. RELAXATION LABELLING. LOCAL AMBIGUITY, AND LOW-LEVEL VISION
- SUBJECT INDEX