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AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 6 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
BMCBI
2010
95views more  BMCBI 2010»
15 years 6 months ago
Heuristics for the inversion median problem
Background: The study of genome rearrangements has become a mainstay of phylogenetics and comparative genomics. Fundamental in such a study is the median problem: given three geno...
Vaibhav Rajan, Andrew Wei Xu, Yu Lin, Krister M. S...
CE
2008
197views more  CE 2008»
15 years 6 months ago
ICT integration in the classroom: Challenging the potential of a school policy
Despite the assumption that the integration of ICT influences the entire school system, research focusing on ICT in schools is generally limited to the study of variables at class...
Jo Tondeur, Hilde van Keer, Johan van Braak, Marti...
CONCURRENCY
2010
104views more  CONCURRENCY 2010»
15 years 6 months ago
Performance analysis of an experimental wireless relay sensor network
Communication through relay channels in wireless sensor networks can create diversity and consequently improve robustness of data transmission for ubiquitous computing and network...
Gu-Chun Zhang, Xiao-Hong Peng, Xuan-Ye Gu
CORR
2010
Springer
154views Education» more  CORR 2010»
15 years 6 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...