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» Approximation Algorithms for Min-Max Generalization Problems
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SODA
2001
ACM
163views Algorithms» more  SODA 2001»
13 years 10 months ago
Algorithms for facility location problems with outliers
d Abstract) Moses Charikar Samir Khullery David M. Mountz Giri Narasimhanx Facility location problems are traditionally investigated with the assumption that all the clients are t...
Moses Charikar, Samir Khuller, David M. Mount, Gir...
SODA
1997
ACM
171views Algorithms» more  SODA 1997»
13 years 10 months ago
A Practical Approximation Algorithm for the LMS Line Estimator
The problem of fitting a straight line to a finite collection of points in the plane is an important problem in statistical estimation. Robust estimators are widely used because...
David M. Mount, Nathan S. Netanyahu, Kathleen Roma...
SODA
2010
ACM
215views Algorithms» more  SODA 2010»
14 years 6 months ago
Approximability of Robust Network Design
We consider robust network design problems where the set of feasible demands may be given by an arbitrary polytope or convex body more generally. This model, introduced by BenAmeu...
Neil Olver, F. Bruce Shepherd
SIGMOD
2011
ACM
206views Database» more  SIGMOD 2011»
12 years 11 months ago
Sampling based algorithms for quantile computation in sensor networks
We study the problem of computing approximate quantiles in large-scale sensor networks communication-efficiently, a problem previously studied by Greenwald and Khana [12] and Shri...
Zengfeng Huang, Lu Wang, Ke Yi, Yunhao Liu
ICALP
2010
Springer
14 years 1 months ago
The Positive Semidefinite Grothendieck Problem with Rank Constraint
Given a positive integer n and a positive semidefinite matrix A = (Aij ) ∈ Rm×m the positive semidefinite Grothendieck problem with rank-nconstraint is (SDPn) maximize mX i=1 ...
Jop Briët, Fernando Mário de Oliveira ...