DocumentCode :
2620166
Title :
Topological stochastic grammars
Author :
Alder, Michael ; Desilva, Christopher ; McLaughlin, Robert
Author_Institution :
Centre for Intelligent Inf. Process. Syst., Western Australia Univ., Nedlands, WA, Australia
fYear :
1994
fDate :
27 Jun-1 Jul 1994
Firstpage :
191
Abstract :
King Sun Fu (1982) has discussed the need for recognising that human pattern recognition is syntactic. When the human eye reads a character, there is evidence that the character is decomposed into `strokes´ and that the relationship between the components is coded in some way. Similar observations have been made by Pavlidis (1977) and others. The program inaugurated by Fu demanded the use of string grammar inference and an arguably premature discretisation process, and has foundered on both technical theoretical and practical grounds. We argue that we can pursue Fu´s quest by formulating a theory of topological stochastic grammars, in which the discretisation arises from the data, and where the model is a continuous one
Keywords :
grammars; image classification; image coding; image recognition; stochastic processes; string matching; discretisation process; human pattern recognition; string grammar inference; strokes; syntactic pattern recognition; topological stochastic grammars; Australia; Buildings; Character recognition; Humans; Image coding; Information processing; Intelligent systems; Pattern recognition; Stochastic processes; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
Type :
conf
DOI :
10.1109/ISIT.1994.394777
Filename :
394777
Link To Document :
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