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» Approximation Algorithms for Clustering Problems
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SDM
2004
SIAM
253views Data Mining» more  SDM 2004»
15 years 7 months ago
Density-Connected Subspace Clustering for High-Dimensional Data
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
Peer Kröger, Hans-Peter Kriegel, Karin Kailin...
EOR
2008
107views more  EOR 2008»
15 years 6 months ago
Fast heuristics for the Steiner tree problem with revenues, budget and hop constraints
This article describes and compares three heuristics for a variant of the Steiner tree problem with revenues, which includes budget and hop constraints. First, a greedy method whi...
Alysson M. Costa, Jean-François Cordeau, Gi...
ICASSP
2010
IEEE
15 years 6 months ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
Liuling Gong, Dan Schonfeld
ISAAC
2009
Springer
168views Algorithms» more  ISAAC 2009»
16 years 1 months ago
On the Camera Placement Problem
We introduce a new probing problem: what is the minimum number of cameras at fixed positions necessary and sufficient to reconstruct any strictly convex polygon contained in a dis...
Rudolf Fleischer, Yihui Wang
AAIM
2011
Springer
337views Algorithms» more  AAIM 2011»
14 years 10 months ago
On Variants of the Spanning Star Forest Problem
A star forest is a collection of vertex-disjoint trees of depth at most 1, and its size is the number of leaves in all its components. A spanning star forest of a given graph G is ...
Jing He, Hongyu Liang