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» Query Estimation by Adaptive Sampling
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MOR
2007
140views more  MOR 2007»
14 years 9 months ago
Adaptive Control Variates for Finite-Horizon Simulation
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
Sujin Kim, Shane G. Henderson
ICPR
2008
IEEE
15 years 10 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
89
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CAISE
2005
Springer
15 years 3 months ago
Estimating Recall and Precision for Vague Queries in Databases
In vague queries, a user enters a value that represents some real world object and expects as the result the set of database values that represent this real world object even with ...
Raquel Kolitski Stasiu, Carlos A. Heuser, Roberto ...
SIGMOD
2004
ACM
150views Database» more  SIGMOD 2004»
15 years 9 months ago
When one Sample is not Enough: Improving Text Database Selection Using Shrinkage
Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
Panagiotis G. Ipeirotis, Luis Gravano
IMC
2005
ACM
15 years 3 months ago
Optimal Combination of Sampled Network Measurements
IP network traffic is commonly measured at multiple points in order that all traffic passes at least one observation point. The resulting measurements are subsequently joined fo...
Nick G. Duffield, Carsten Lund, Mikkel Thorup