Neural Scene Segmentation by Oscillatory Correlation

2000 ◽  
Author(s):  
DeLiang Wang
2000 ◽  
Vol 10 (07) ◽  
pp. 1697-1708 ◽  
Author(s):  
L. ZHAO ◽  
E. E. N. MACAU ◽  
N. OMAR

A chaotic oscillatory correlation network for scene segmentation is presented. It is a two-dimensional array with locally coupled chaotic elements. It offers a mechanism to escape from the synchrony–desynchrony dilemma. As a result, this model has unbounded capacity of segmentation. Chaotic dynamics and chaotic synchronization in the model are analyzed. Desynchronization property is guaranteed by the definition of chaos. Computer simulations confirm the theoretical prediction.


1976 ◽  
pp. 16-17 ◽  
Author(s):  
B. J. Schacter ◽  
L. S. Davis ◽  
A. Rosenfeld

2000 ◽  
Vol 78 (3) ◽  
pp. 351-373 ◽  
Author(s):  
Atsuto Maki ◽  
Peter Nordlund ◽  
Jan-Olof Eklundh
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document