Title
Distortion-tolerance curve of the neocognitron with various structures, including pyramid
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
Year
DOI
Venue
1990
10.1109/ICPR.1990.118241
Pattern Recognition, 1990. Proceedings., 10th International Conference  
Keywords
DocType
Volume
computerised pattern recognition,neural nets,distortion tolerance curve,neocognitron,neural model,pattern recognition,pyramid,neural networks,frequency,computer experiment,image processing,computer networks,computer graphics,image recognition
Conference
i
Citations 
PageRank 
References 
1
0.80
3
Authors
2
Name
Order
Citations
PageRank
Yamaguchi, T.110.80
Walter G. Kropatsch2287.27