Description
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
Chapter
CHAPTER 3. SOME MULTIDIMENSIONAL GRAMMAR INFERENCE METHODS
pp.:
40 – 72
CHAPTER 4. FINDING STRUCTURE IN OUTDOOR SCENES
pp.:
72 – 97
CHAPTER 5. MOLDING COMPUTER CLAY - STEPS TOWARD A COMPUTER GRAPHICS SCULPTORS' STUDIO
pp.:
97 – 119
CHAPTER 6. DEDUCE --- A DEDUCTIVE QUERY LANGUAGE FOR RELATIONAL DATA BASES
pp.:
119 – 146
CHAPTER 7. ON STATISTICAL AND STRUCTURAL FEATURE EXTRACTION
pp.:
146 – 156
CHAPTER 8. ON THE RECOGNITION OF HIGHLY VARIABLE LINE DRAWINGS THROUGH USE OF MAXIMUM LIKELIHOOD FUNCTIONS
pp.:
156 – 175
CHAPTER 9. A MINICOMPUTER BASED REAL TIME EYE TRACKING SYSTEM FOR PATTERN RECOGNITION APPLICATIONS
pp.:
175 – 196
CHAPTER 10. DESIGN OF OPTIMAL FEATURE EXTRACTORS BY MATHEMATICAL PROGRAMMING TECHNIQUES
pp.:
196 – 206
CHAPTER 11. TYPOLOGICAL SELECTION OF PARAMETERS
pp.:
206 – 227
CHAPTER 12. REGION EXTRACTION USING BOUNDARY FOLLOWING
pp.:
227 – 244
CHAPTER 13. COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER FROM THERMOGRAPHY
pp.:
244 – 259
CHAPTER 14. STRUCTURAL ISOMORPHISM OF PICTURE GRAPHS
pp.:
259 – 268
CHAPTER 15. TREE LANGUAGES AND SYNTACTIC PATTERN RECOGNITION
pp.:
268 – 303
CHAPTER 16. ACQUISITION AND UTILIZATION OF ACCESS PATTERNS IN RELATIONAL DATA BASE IMPLEMENTATION
pp.:
303 – 325
CHAPTER 17. PATTERNS OF INDUCTION AND ASSOCIATED KNOWLEDGE ACQUISTION ALGORITHMS
pp.:
325 – 351
CHAPTER 18. PICTORIAL MEDICAL PATTERN RECOGNITION
pp.:
351 – 385
CHAPTER 19. DISTANCE MEASURES FOR SPEECH RECOGNITION - PSYCHOLOGICAL AND INSTRUMENTAL
pp.:
385 – 400
CHAPTER 20. SYNTACTIC PATTERN RECOGNITION ON THE BASIS OF FUNCTIONAL APPROXIMATION
pp.:
400 – 410
CHAPTER 21. A PROGRAM FOR LEARNING TO PLAY CHESS
pp.:
410 – 431
CHAPTER 22. INTERACTIVE SCREENING OF RECONNAISSANCE IMAGERY
pp.:
431 – 463
CHAPTER 23. AN ICONIC/SYMBOLIC DATA STRUCTURING SCHEME
pp.:
463 – 483
CHAPTER 24. IGS: A PARADIGM FOR INTEGRATING IMAGE SEGMENTATION AND INTERPRETATION
pp.:
483 – 519
CHAPTER 25. PATTERN RECOGNITION USING DEGENERATE REFERENCE DATA
pp.:
519 – 540
CHAPTER 26. SERIAL PATTERN ACQUISITION: A PRODUCTION SYSTEM APPROACH
pp.:
540 – 565
CHAPTER 27. DABI—A DATA BASE FOR IMAGE ANALYSIS WITH NONDETERMINISTIC INFERENCE CAPABILITY
pp.:
565 – 587
CHAPTER 28. APPENDIX A. EXAMPLE OF A GENERIC MODEL
pp.:
587 – 604
CHAPTER 29. RELAXATION LABELLING. LOCAL AMBIGUITY, AND LOW-LEVEL VISION
pp.:
604 – 628
SUBJECT INDEX
pp.:
628 – 633