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JCSS
2002
199views more  JCSS 2002»
15 years 14 days ago
A Constant-Factor Approximation Algorithm for the k-Median Problem
We present the first constant-factor approximation algorithm for the metric k-median problem. The k-median problem is one of the most well-studied clustering problems, i.e., those...
Moses Charikar, Sudipto Guha, Éva Tardos, D...
102
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PC
2000
95views Management» more  PC 2000»
15 years 17 days ago
Massively parallel computing using commodity components
The Computational Plant (Cplant) project at Sandia National Laboratories is developing a large-scale, massively parallel computing resource from a cluster of commodity computing a...
Ron Brightwell, Lee Ann Fisk, David S. Greenberg, ...
99
Voted
PAMI
2002
148views more  PAMI 2002»
15 years 14 days ago
Two Variations on Fisher's Linear Discriminant for Pattern Recognition
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
Tristrom Cooke
127
Voted
JMLR
2010
198views more  JMLR 2010»
14 years 11 months ago
On Learning with Integral Operators
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
ECCV
2006
Springer
16 years 2 months ago
Smooth Image Segmentation by Nonparametric Bayesian Inference
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
Peter Orbanz, Joachim M. Buhmann