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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.
Some Techniques for Recognizing Structures in Pictures
A Survey of Results in Grammatical Inference
The Selection of Effective Attributes for Deciding Between Hypotheses Using Linear Discriminant Functions
Boundary Detection of Radiographic Images by a Threshold Method
A Hierarchy of Probability Density Function Estimates
On Embedding Heuristics and Including Complexity Constraints into Convergent Learning Algorithms
On Syntactic Pattern Recognition and Stochastic Languages
Computer Identification of Bacteria by Colony Morphology
On Linguistic, Statistical and Mixed Models for Pattern Recognition
Pattern Cognition and the Organization of Information
Experiments with an On-Line Picture Language
A Basic Study on Human Face Recognition
Adaptive Pattern Recognition: A State-Variable Approach
On the Computation of Shape
A "Crisis" in the Theory of Pattern Recognition
Heuristic Use of Image Processing Technique for Theoretical Studies of Automata
Relationship Between Organizing Capability and Information Utilized for System Organization
A Priori Problem Knowledge and Training Samples
Structural Pattern Recognition: Primitives and Juxtaposition Relations
Pattern Recognition and Group Theory
Bounds on the Complexity of Grammars
Picture Graphs, Grammars, and Parsing
Sample Set Condensation for a Condensed Nearest Neighbor Decision Rule for Pattern Recognition
Learning Algorithms of Pattern Recognition in Non-Stationary Conditions
Idealized Pattern Recognition
Pattern Recognition as Information Compression
Scene Understanding Systems
Least-Mean-Square Approach to Pattern Classification
- No. of pages:
- © Academic Press 1972
- 1st January 1972
- Academic Press
- eBook ISBN:
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