Relaxation Labeling with Learning Automata
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stable adaptive systems
Learning automata: an introduction
Learning automata: an introduction
Constraint satisfaction as global optimization
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Hi-index | 0.15 |
A parallel stochastic algorithm for relaxation labeling is analyzed. For the case of symmetric compatibility functions, it is proved that time algorithm will always converge to a consistent labeling.