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UAI
2001
13 years 5 months ago
A Clustering Approach to Solving Large Stochastic Matching Problems
In this work we focus on efficient heuristics for solving a class of stochastic planning problems that arise in a variety of business, investment, and industrial applications. The...
Milos Hauskrecht, Eli Upfal
ICMLA
2008
13 years 6 months ago
An Improved Generalized Discriminant Analysis for Large-Scale Data Set
In order to overcome the computation and storage problem for large-scale data set, an efficient iterative method of Generalized Discriminant Analysis is proposed. Because sample v...
Weiya Shi, Yue-Fei Guo, Cheng Jin, Xiangyang Xue
APPROX
2010
Springer
188views Algorithms» more  APPROX 2010»
13 years 6 months ago
Approximation Algorithms for Reliable Stochastic Combinatorial Optimization
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...
Evdokia Nikolova
INFOCOM
2009
IEEE
13 years 11 months ago
Towards Efficient Large-Scale VPN Monitoring and Diagnosis under Operational Constraints
Continuous monitoring and diagnosis of network performance are of crucial importance for the Internet access service and virtual private network (VPN) service providers. Various o...
Yao Zhao, Zhaosheng Zhu, Yan Chen, Dan Pei, Jia Wa...
ICCV
2007
IEEE
14 years 6 months ago
Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction
Large-scale 3D reconstruction has recently received much attention from the computer vision community. Bundle adjustment is a key component of 3D reconstruction problems. However,...
Kai Ni, Drew Steedly, Frank Dellaert