DocumentCode
1904542
Title
A neural network approach to the consistent labeling problem
Author
Feng, Jiansheng ; Tao, Wenjing ; Burkhardt, Hans
Author_Institution
Tech. Inf. I, Tech. Univ. of Hamburg, Germany
fYear
1993
fDate
1993
Firstpage
678
Abstract
A method is presented to solve the consistent labeling problem, especially the high-order constraint case, by the Hopfield network. An agitating method is proposed to address the problem of local minima. Some experiments concerning line drawing labeling are demonstrated
Keywords
Hopfield neural nets; image recognition; set theory; Hopfield network; agitating method; consistent labeling; line drawing labeling; local minima; neural network; Artificial intelligence; Capacitive sensors; Computer architecture; Educational institutions; Hopfield neural networks; Labeling; Layout; Neural networks; Neurons; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993., IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0999-5
Type
conf
DOI
10.1109/ICNN.1993.298636
Filename
298636
Link To Document