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APPROX
2006
Springer
179views Algorithms» more  APPROX 2006»
14 years 2 months ago
Adaptive Sampling and Fast Low-Rank Matrix Approximation
We prove that any real matrix A contains a subset of at most 4k/ + 2k log(k + 1) rows whose span "contains" a matrix of rank at most k with error only (1 + ) times the er...
Amit Deshpande, Santosh Vempala
IWOCA
2009
Springer
132views Algorithms» more  IWOCA 2009»
14 years 5 months ago
Fast Convolutions and Their Applications in Approximate String Matching
We develop a method for performing boolean convolutions efficiently in word RAM model of computation, having a word size of w = Ω(log n) bits, where n is the input size. The tech...
Kimmo Fredriksson, Szymon Grabowski
CIKM
2010
Springer
13 years 9 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...
GCB
2004
Springer
91views Biometrics» more  GCB 2004»
14 years 4 months ago
A Method for Fast Approximate Searching of Polypeptide Structures in the PDB
: The main contribution of this paper is a novel approach for fast searching in huge structural databases like the PDB. The data structure is based on an adaption of the generalize...
Hanjo Täubig, Arno Buchner, Jan Griebsch
ISAAC
2005
Springer
122views Algorithms» more  ISAAC 2005»
14 years 4 months ago
Fast k-Means Algorithms with Constant Approximation
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
Mingjun Song, Sanguthevar Rajasekaran