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ESANN
2008
13 years 11 months ago
Using the Delta Test for Variable Selection
Input selection is an important consideration in all large-scale modelling problems. We propose that using an established noise variance estimator known as the Delta test as the ta...
Emil Eirola, Elia Liitiäinen, Amaury Lendasse...
EWSN
2010
Springer
14 years 1 months ago
Mitigating the Effects of RF Interference through RSSI-Based Error Recovery
On a common sensor node platform (Telos) we sample RSSI with high frequency during packet reception. We find that a packet collision (RF interference) often manifests as a measurab...
Jan-Hinrich Hauer, Andreas Willig, Adam Wolisz
JMLR
2006
92views more  JMLR 2006»
13 years 10 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
C3S2E
2009
ACM
14 years 4 months ago
Radius selection algorithms for sphere decoding
The integer least squares problem arises from many applications such as communications, cryptography, and GPS. In this paper, we consider the sphere decoding method in communicati...
Fei Zhao, Sanzheng Qiao
PAMI
1998
74views more  PAMI 1998»
13 years 9 months ago
Selecting the Optimal Focus Measure for Autofocusing and Depth-From-Focus
—A method is described for selecting the optimal focus measure with respect to gray-level noise from a given set of focus measures in passive autofocusing and depth-from-focus ap...
Muralidhara Subbarao, Jenn-Kwei Tyan