314 search results - page 22 / 63 » Optimizing efficiency of perturbative Monte Carlo method |
ICIP
2009
IEEE
15 years 10 months ago
2009
IEEE
Patch based denoising methods, such as the NL-Means, have emerged recently as simple and efficient denoising methods. This paper provides a new insight on those methods by showing...
CCE
2006
14 years 9 months ago
2006
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
AGI
2008
14 years 11 months ago
2008
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
106
Voted
ECCV
2008
Springer
15 years 8 months ago
2008
Springer
Monte Carlo methods and their subsequent simulated annealing are able to minimize general energy functions. However, the slow convergence of simulated annealing compared with more ...
86
Voted
ICML
2003
IEEE
15 years 2 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...