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» An Approximation Algorithm for Approximation Rank
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SODA
2010
ACM
174views Algorithms» more  SODA 2010»
15 years 4 months ago
Differentially Private Combinatorial Optimization
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 4 months ago
GAD: General Activity Detection for Fast Clustering on Large Data.
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
Jiawei Han, Liangliang Cao, Sangkyum Kim, Xin Jin,...
ALGORITHMICA
2008
79views more  ALGORITHMICA 2008»
15 years 7 months ago
Practical Methods for Shape Fitting and Kinetic Data Structures using Coresets
The notion of -kernel was introduced by Agarwal et al. [5] to set up a unified framework for computing various extent measures of a point set P approximately. Roughly speaking, a ...
Hai Yu, Pankaj K. Agarwal, Raghunath Poreddy, Kast...
TNN
1998
111views more  TNN 1998»
15 years 6 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
COR
2007
108views more  COR 2007»
15 years 6 months ago
New primal-dual algorithms for Steiner tree problems
We present new primal-dual algorithms for several network design problems. The problems considered are the generalized Steiner tree problem (GST), the directed Steiner tree proble...
Vardges Melkonian