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» An Exploration of Location Error Estimation
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PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
15 years 10 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
PERCOM
2008
ACM
16 years 4 months ago
An Algorithm for Distributed Beacon Selection
This paper investigates wireless sensor networks where a small percentage of nodes are assumed to know their location a priori. These reference nodes enable absolute localization ...
Dominik Lieckfeldt, Jiaxi You, Dirk Timmermann
MA
2011
Springer
285views Communications» more  MA 2011»
14 years 11 months ago
Dual divergence estimators and tests: Robustness results
The class of dual φ-divergence estimators (introduced in Broniatowski and Keziou (2009) [6]) is explored with respect to robustness through the influence function approach. For ...
Aida Toma, Michel Broniatowski
ESTIMEDIA
2007
Springer
15 years 10 months ago
Signature-based Microprocessor Power Modeling for Rapid System-level Design Space Exploration
This paper presents a technique for high-level power estimation of microprocessors. The technique, which is based on abstract execution profiles called ’event signatures’, op...
Peter van Stralen, Andy D. Pimentel
HIPC
2005
Springer
15 years 10 months ago
Sensor Selection Heuristic in Sensor Networks
We consider the problem of sensor selection so as to minimise error in estimated location of target. An algorithm based on selecting a sensor in a direction in which the error is ...
Vaishali P. Sadaphal, Bijendra N. Jain