Sciweavers

565 search results - page 38 / 113
» A Guided Monte Carlo Approach to Optimization Problems
Sort
View
JCNS
2010
104views more  JCNS 2010»
14 years 8 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
SIGGRAPH
2000
ACM
15 years 2 months ago
Sampling plausible solutions to multi-body constraint problems
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
Stephen Chenney, David A. Forsyth
CVPR
2006
IEEE
15 years 12 months ago
Picture Collage
In this paper, we address a novel problem of automatically creating a picture collage from a group of images. Picture collage is a kind of visual image summary -- to arrange all i...
Jingdong Wang, Long Quan, Jian Sun, Xiaoou Tang, H...
CEC
2005
IEEE
15 years 3 months ago
A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems
Abstract- Branch-and-Bound and evolutionary algorithms represent two very different approaches for tackling combinatorial optimization problems. These approaches are not incompatib...
José E. Gallardo, Carlos Cotta, Antonio J. ...
HEURISTICS
2008
153views more  HEURISTICS 2008»
14 years 10 months ago
Bringing order into the neighborhoods: relaxation guided variable neighborhood search
In this article we investigate a new variant of Variable Neighborhood Search (VNS): Relaxation Guided Variable Neighborhood Search. It is based on the general VNS scheme and a new...
Jakob Puchinger, Günther R. Raidl