DocumentCode
3223073
Title
Distortion-tolerance curve of the neocognitron with various structures, including pyramid
Author
Yamaguchi, T. ; Kropatsch, W.G.
Author_Institution
Inst. for Image Process. & Comput. Graphics, Graz, Austria
Volume
i
fYear
1990
fDate
16-21 Jun 1990
Firstpage
918
Abstract
The neocognitron is a neural model which can recognize a pattern even when it is shifted in position, changed in size, or distorted. However, the complexity of its structure and its algorithm makes it difficult to tune its parameters and to specify the detail of its structure. The characteristics of this model are measured as the relationship between the degree of distortion of the input and the tolerance of the model. Computational experiments show that the pyramid has a suitable structure for implementing a neocognitron, provided that the input has a relatively low spatial frequency
Keywords
computerised pattern recognition; neural nets; distortion tolerance curve; neocognitron; neural model; pattern recognition; pyramid; Computer graphics; Computer networks; Distortion measurement; Frequency; Image converters; Image processing; Image recognition; Marine vehicles; Neural networks; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location
Atlantic City, NJ
Print_ISBN
0-8186-2062-5
Type
conf
DOI
10.1109/ICPR.1990.118241
Filename
118241
Link To Document