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» On Unbiased Linear Approximations
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SIGPRO
2010
122views more  SIGPRO 2010»
15 years 4 months ago
Parameter estimation for exponential sums by approximate Prony method
The recovery of signal parameters from noisy sampled data is a fundamental problem in digital signal processing. In this paper, we consider the following spectral analysis problem...
Daniel Potts, Manfred Tasche
STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 6 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
IPPS
2006
IEEE
16 years 12 days ago
On the performance of parallel normalized explicit preconditioned conjugate gradient type methods
A new class of parallel normalized preconditioned conjugate gradient type methods in conjunction with normalized approximate inverses algorithms, based on normalized approximate f...
George A. Gravvanis, Konstantinos M. Giannoutakis
COMPUTING
2006
112views more  COMPUTING 2006»
15 years 6 months ago
Fast Summation of Radial Functions on the Sphere
Radial functions are a powerful tool in many areas of multidimensional approximation, especially when dealing with scattered data. We present a fast approximate algorithm for the ...
Jens Keiner, Stefan Kunis, Daniel Potts
JMLR
2006
143views more  JMLR 2006»
15 years 6 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos