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ICASSP
2009
IEEE
16 years 1 months ago
Shrinkage estimation of high dimensional covariance matrices
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
Yilun Chen, Ami Wiesel, Alfred O. Hero
153
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ICIP
2007
IEEE
16 years 29 days ago
Window-Based Image Registration using Variable Window Sizes
We present an unsupervised image registration algorithm to estimate the background object motion in a real video sequence. The algorithm is based on a Gaussian minimisation techni...
Andreas Krutz, Michael R. Frater, Thomas Sikora
AINA
2010
IEEE
15 years 11 months ago
Active Data Selection for Sensor Networks with Faults and Changepoints
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
3DIM
2001
IEEE
15 years 10 months ago
Comparison of HK and SC Curvature Description Methods
This paper compares two different local surface shape description methods. The general goal of surface shape description methods is to classify different surface shapes from range...
H. Cantzler, Robert B. Fisher
DAGM
2008
Springer
15 years 8 months ago
A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry
In particle image velocimetry (PIV) a temporally separated image pair of a gas or liquid seeded with small particles is recorded and analysed in order to measure fluid flows therei...
Florian Becker, Bernhard Wieneke, Jing Yuan, Chris...