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» Using Data Mining to Estimate Missing Sensor Data
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IEICET
2010
132views more  IEICET 2010»
15 years 4 months ago
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers
Estimating the ratio of two probability density functions (a.k.a. the importance) has recently gathered a great deal of attention since importance estimators can be used for solvi...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, J...
TIP
2002
179views more  TIP 2002»
15 years 5 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
13 years 8 months ago
Monitoring and Mining Insect Sounds in Visual Space
Monitoring animals by the sounds they produce is an important and challenging task, whether the application is outdoors in a natural habitat, or in the controlled environment of a...
Yuan Hao, Bilson J. L. Campana, Eamonn J. Keogh
BMCBI
2007
194views more  BMCBI 2007»
15 years 6 months ago
A meta-data based method for DNA microarray imputation
Background: DNA microarray experiments are conducted in logical sets, such as time course profiling after a treatment is applied to the samples, or comparisons of the samples unde...
Rebecka Jörnsten, Ming Ouyang, Hui-Yu Wang
SUTC
2008
IEEE
16 years 16 days ago
Using Body Sensor Networks for Increased Safety in Bomb Disposal Missions
Bomb disposal manned missions are inherently safetycritical. Wireless Sensor Network (WSN) technology potentially offers an opportunity to increase the safety of the operatives in...
John Kemp, Elena I. Gaura, James Brusey, C. Dougla...