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» Approximation Algorithms for Clustering Problems
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IPL
2006
105views more  IPL 2006»
15 years 4 months ago
A new approximation algorithm for labeling points with circle pairs
We study the NP-hard problem of labeling points with maximum-radius circle pairs: given n point sites in the plane, find a placement for 2n interior-disjoint uniform circles, such...
Minghui Jiang
IEICET
2010
124views more  IEICET 2010»
15 years 2 months ago
A Deterministic Approximation Algorithm for Maximum 2-Path Packing
This paper deals with the maximum-weight 2-path packing problem (M2PP), which is the problem of computing a set of vertex-disjoint paths of length 2 in a given edge-weighted compl...
Ruka Tanahashi, Zhi-Zhong Chen
SIGPRO
2011
209views Hardware» more  SIGPRO 2011»
14 years 11 months ago
Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms
In this paper, we survey and compare different algorithms that, given an overcomplete dictionary of elementary functions, solve the problem of simultaneous sparse signal approxim...
A. Rakotomamonjy
SWAT
2010
Springer
269views Algorithms» more  SWAT 2010»
15 years 10 months ago
Approximation Algorithms for Free-Label Maximization
Inspired by air traffic control and other applications where moving objects have to be labeled, we consider the following (static) point labeling problem: given a set P of n points...
Mark de Berg, Dirk H. P. Gerrits
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 9 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...