197 search results - page 5 / 40 » Stochastic RED and Its Applications |
NIPS
2008
13 years 8 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
TSMC
2010
13 years 1 months ago
2010
The cellular learning automaton (CLA), which is a4 combination of cellular automaton (CA) and learning automaton5 (LA), is introduced recently. This model is superior to CA because...
ICCV
2005
IEEE
14 years 9 days ago
2005
IEEE
When an image is viewed at varying resolutions, it is known to create discrete perceptual jumps or transitions amid the continuous intensity changes. In this paper, we study a per...
MICCAI
2005
Springer
14 years 7 months ago
2005
Springer
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
CDC
2009
IEEE
13 years 4 months ago
2009
IEEE
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...