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» Building Data Synopses Within a Known Maximum Error Bound
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WAIM
2007
Springer
13 years 11 months ago
Building Data Synopses Within a Known Maximum Error Bound
The constructions of Haar wavelet synopses for large data sets have proven to be useful tools for data approximation. Recently, research on constructing wavelet synopses with a gua...
Chaoyi Pang, Qing Zhang, David P. Hansen, Anthony ...
SSDBM
2005
IEEE
148views Database» more  SSDBM 2005»
13 years 10 months ago
A Fast Approximation Scheme for Probabilistic Wavelet Synopses
Several studies have demonstrated the effectiveness of Haar wavelets in reducing large amounts of data down to compact wavelet synopses that can be used to obtain fast, accurate a...
Antonios Deligiannakis, Minos N. Garofalakis, Nick...
ICONIP
2007
13 years 6 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor
ESA
2008
Springer
126views Algorithms» more  ESA 2008»
13 years 6 months ago
Space-Time Tradeoffs for Proximity Searching in Doubling Spaces
Abstract. We consider approximate nearest neighbor searching in metric spaces of constant doubling dimension. More formally, we are given a set S of n points and an error bound &g...
Sunil Arya, David M. Mount, Antoine Vigneron, Jian...