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IDEAL
2010
Springer
13 years 7 months ago
Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
Malik Magdon-Ismail, Jonathan T. Purnell
OL
2010
140views more  OL 2010»
13 years 4 months ago
Approximation algorithms for finding and partitioning unit-disk graphs into co-k-plexes
This article studies a degree-bounded generalization of independent sets called co-k-plexes. Constant factor approximation algorithms are developed for the maximum co-k-plex probl...
Balabhaskar Balasundaram, Shyam Sundar Chandramoul...
ICASSP
2011
IEEE
13 years 1 months ago
The transformed Variational Bayes approximation
The purpose of this paper is to develop parameter transformation strategies that improve the accuracy of the Variational Bayes (VB) approximation. The idea is to find a transform...
Viet Hung Tran, Anthony Quinn
APPROX
2009
Springer
115views Algorithms» more  APPROX 2009»
14 years 4 months ago
Small Clique Detection and Approximate Nash Equilibria
Recently, Hazan and Krauthgamer showed [12] that if, for a fixed small ε, an ε-best ε-approximate Nash equilibrium can be found in polynomial time in two-player games, then it ...
Lorenz Minder, Dan Vilenchik
STOC
1998
ACM
139views Algorithms» more  STOC 1998»
14 years 1 months ago
Approximation Schemes for Euclidean k-Medians and Related Problems
In the k-median problem we are given a set S of n points in a metric space and a positive integer k. We desire to locate k medians in space, such that the sum of the distances fro...
Sanjeev Arora, Prabhakar Raghavan, Satish Rao