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» Approximation Algorithms for Clustering Problems
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VC
2008
138views more  VC 2008»
15 years 6 months ago
A GPU-based light hierarchy for real-time approximate illumination
Illumination rendering including environment lighting, indirect illumination, and subsurface scattering plays for many graphics applications such as games and VR systems. However, ...
Hyunwoo Ki, Kyoungsu Oh
WDAG
2010
Springer
233views Algorithms» more  WDAG 2010»
15 years 4 months ago
Minimum Dominating Set Approximation in Graphs of Bounded Arboricity
Abstract. Since in general it is NP-hard to solve the minimum dominating set problem even approximatively, a lot of work has been dedicated to central and distributed approximation...
Christoph Lenzen, Roger Wattenhofer
SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
14 years 9 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
ICDM
2003
IEEE
130views Data Mining» more  ICDM 2003»
15 years 11 months ago
Information Theoretic Clustering of Sparse Co-Occurrence Data
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
Inderjit S. Dhillon, Yuqiang Guan
STOC
2006
ACM
141views Algorithms» more  STOC 2006»
16 years 6 months ago
Lattice problems and norm embeddings
We present reductions from lattice problems in the 2 norm to the corresponding problems in other norms such as 1, (and in fact in any other p norm where 1 p ). We consider latt...
Oded Regev, Ricky Rosen