EVOW
2012
Springer
12 years 21 days ago
2012
Springer
We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
MVA
2007
13 years 6 months ago
2007
In this paper we present a stochastic sampling approach to estimate multiple human trajectory in the meeting. The algorithm is formalized as a energy minimization problem based on...
CP
2004
Springer
13 years 10 months ago
2004
Springer
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
CPAIOR
2005
Springer
13 years 10 months ago
2005
Springer
We describe the problem of scheduling astronomy observations for the Stratospheric Observatory for Infrared Astronomy, an airborne telescope. The problem requires maximizing the nu...
LION
2009
Springer
13 years 11 months ago
2009
Springer
Beam-ACO algorithms are hybrid methods that combine the metaheuristic ant colony optimization with beam search. They heavily rely on accurate and computationally inexpensive boundi...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...