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FOCS
2006
IEEE
14 years 2 months ago
Approximation Algorithms for Non-Uniform Buy-at-Bulk Network Design
We consider approximation algorithms for non-uniform buy-at-bulk network design problems. The first nontrivial approximation algorithm for this problem is due to Charikar and Kar...
Chandra Chekuri, Mohammad Taghi Hajiaghayi, Guy Ko...
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
SPAA
2010
ACM
14 years 1 months ago
Parallel approximation algorithms for facility-location problems
This paper presents the design and analysis of parallel approximation algorithms for facility-location problems, including NC and RNC algorithms for (metric) facility location, k-...
Guy E. Blelloch, Kanat Tangwongsan
KR
1992
Springer
14 years 29 days ago
Learning Useful Horn Approximations
While the task of answering queries from an arbitrary propositional theory is intractable in general, it can typicallybe performed e ciently if the theory is Horn. This suggests t...
Russell Greiner, Dale Schuurmans
AUTOMATICA
2008
139views more  AUTOMATICA 2008»
13 years 9 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky