Title :
A Step Towards Unification of Syntactic and Statistical Pattern Recognition
Author_Institution :
School of Electrical Engineering, Purdue University. West Lafayette. IN 47907.
fDate :
5/1/1986 12:00:00 AM
Abstract :
The problem of pattern recognition is discussed in terms of single-entity representation versus multiple-entity representation. A combined syntactic-semantic approach based on attributed grammars is suggested. Syntax-semantics tradeoff in pattern representation is demonstrated. This approach is intended to be an initial step toward unification of syntactic and statistical approaches to pattern recognition.
Keywords :
Decision theory; Feature extraction; Fingerprint recognition; Formal languages; Image analysis; Image sampling; Image segmentation; Pattern analysis; Pattern recognition; Tree graphs; Attributed grammar; control diagram; semantics; statistical pattern recognition; syntactic pattern recognition; syntax-semantics tradeoff;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1986.4767800