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TIT
2008
141views more  TIT 2008»
13 years 10 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
DPHOTO
2009
200views Hardware» more  DPHOTO 2009»
13 years 8 months ago
Illuminant estimation and detection using near-infrared
Digital camera sensors are sensitive to wavelengths ranging from the ultraviolet (200-400nm) to the near-infrared (700-100nm) bands. This range is, however, reduced because the ai...
Clément Fredembach, Sabine Süsstrunk
DAC
2006
ACM
14 years 4 months ago
Signature-based workload estimation for mobile 3D graphics
Until recently, most 3D graphics applications had been regarded as too computationally intensive for devices other than desktop computers and gaming consoles. This notion is rapid...
Bren Mochocki, Kanishka Lahiri, Srihari Cadambi, X...
BMCBI
2007
128views more  BMCBI 2007»
13 years 11 months ago
Detailed estimation of bioinformatics prediction reliability through the Fragmented Prediction Performance Plots
Background: An important and yet rather neglected question related to bioinformatics predictions is the estimation of the amount of data that is needed to allow reliable predictio...
Oliviero Carugo
BMCBI
2008
159views more  BMCBI 2008»
13 years 11 months ago
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via log
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
Dawei Liu, Debashis Ghosh, Xihong Lin