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» Optimal Partitions of Data In Higher Dimensions
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STOC
2002
ACM
119views Algorithms» more  STOC 2002»
14 years 6 months ago
Space-efficient approximate Voronoi diagrams
Given a set S of n points in IRd , a (t, )-approximate Voronoi diagram (AVD) is a partition of space into constant complexity cells, where each cell c is associated with t represe...
Sunil Arya, Theocharis Malamatos, David M. Mount
SPAA
2009
ACM
14 years 6 months ago
Classifying peer-to-peer network coding schemes
Modern peer-to-peer file sharing systems distribute large files among peers using block partitioning. Blocks can be redistributed by a peer even before the whole file is available...
Christian Ortolf, Christian Schindelhauer, Arne Va...
SAC
2006
ACM
13 years 11 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
ICML
2004
IEEE
14 years 6 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
CVPR
2009
IEEE
14 years 17 days ago
Tubular anisotropy for 2D vessel segmentation
In this paper, we present a new approach for segmentation of tubular structures in 2D images providing minimal interaction. The main objective is to extract centerlines and bounda...
Fethallah Benmansour, Laurent D. Cohen, Max W. K. ...