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115
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SODA
2008
ACM
184views Algorithms» more  SODA 2008»
15 years 4 months ago
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
Kenneth L. Clarkson
96
Voted
ACSC
2006
IEEE
15 years 8 months ago
Improvements of TLAESA nearest neighbour search algorithm and extension to approximation search
Nearest neighbour (NN) searches and k nearest neighbour (k-NN) searches are widely used in pattern recognition and image retrieval. An NN (k-NN) search finds the closest object (...
Ken Tokoro, Kazuaki Yamaguchi, Sumio Masuda
133
Voted
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 2 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
128
Voted
COMPGEOM
2009
ACM
15 years 9 months ago
Near-linear approximation algorithms for geometric hitting sets
Given a set system (X, R), the hitting set problem is to find a smallest-cardinality subset H ⊆ X, with the property that each range R ∈ R has a non-empty intersection with H...
Pankaj K. Agarwal, Esther Ezra, Micha Sharir
163
Voted
COMGEO
2004
ACM
15 years 2 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...