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127
Voted
DAGSTUHL
2007
15 years 4 months ago
2007
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
218
Voted
CVPR
2010
IEEE
14 years 9 hour ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
95
Voted
CDC
2008
IEEE
15 years 9 months ago
2008
IEEE
— This paper studies consensus seeking over noisy networks with time-varying noise statistics. Stochastic approximation type algorithms can ensure consensus in mean square and wi...
138
Voted
TASE
2008
IEEE
15 years 2 months ago
2008
IEEE
Abstract--The use of automated guided vehicles (AGVs) in material-handling processes of manufacturing facilities and warehouses isbecomingincreasinglycommon.AcriticaldrawbackofanAG...
139
Voted
APPROX
2010
Springer
15 years 4 months ago
2010
Springer
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...