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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 3 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
72
Voted
PERCOM
2008
ACM
15 years 9 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 4 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
85
Voted
ESTIMEDIA
2007
Springer
15 years 3 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 3 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