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» On Bayesian model and variable selection using MCMC
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DAGM
2010
Springer
14 years 7 months ago
3D Reconstruction Using an n-Layer Heightmap
We present a novel method for 3D reconstruction of urban scenes extending a recently introduced heightmap model. Our model has several advantages for 3D modeling of urban scenes: i...
David Gallup, Marc Pollefeys, Jan-Michael Frahm
ICIP
2008
IEEE
15 years 11 months ago
Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation
The segmentation of the heart's left ventricle (LV) chamber in several medical imaging modalities, e.g. Ultrasound (US) and Magnetic Resonance (MRI), is important from a clin...
Jacinto Nascimento, João Sanches
CSDA
2007
120views more  CSDA 2007»
14 years 9 months ago
Boosting ridge regression
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
Gerhard Tutz, Harald Binder
WSC
1998
14 years 11 months ago
Use of Simulation in Optimization of Maintenance Policies
Selecting an optimum maintenance policy independent of other parameters of the production system does not always yield the overall optimum operating conditions. For instance, high...
Farhad Azadivar, J. Victor Shu
MICCAI
2004
Springer
15 years 10 months ago
Profile Scale-Spaces for Multiscale Image Match
Anatomical objects often have complex and varying image appearance at different portions of the boundary; and it is frequently a challenge even to select appropriate scales at whic...
Sean Ho, Guido Gerig