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» Improving Gradient Estimation by Incorporating Sensor Data
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ICNSC
2007
IEEE
14 years 1 months ago
Improved estimation for object localization via sensor networks
The paper addresses object localization via a distributed sensor network. A centralized estimation approach is undertaken along with a selective node activation strategy to ensure...
Alessio Benavoli, Luigi Chisci
CVPR
2012
IEEE
11 years 10 months ago
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
Jun He, Laura Balzano, Arthur Szlam
ICCV
2007
IEEE
13 years 11 months ago
Efficient Generic Calibration Method for General Cameras with Single Centre of Projection
Generic camera calibration is a non-parametric calibration technique that is applicable to any type of vision sensor. However, the standard generic calibration method was develope...
Aubrey K. Dunne, John Mallon, Paul F. Whelan
BMCBI
2006
130views more  BMCBI 2006»
13 years 7 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
IJISTA
2008
165views more  IJISTA 2008»
13 years 7 months ago
Range Flow Estimation based on Photonic Mixing Device Data
: We present techniques for computing 3D velocity fields from range data acquired with cameras working on the principles of modulation based Time-Of-Flight measurement. We derive a...
Mirko Schmidt, Markus Jehle, Bernd Jähne