59 search results - page 3 / 12 » Optimizing Parametric Total Variation Models |
SIAMSC
2008
13 years 6 months ago
2008
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
FTEDA
2006
13 years 6 months ago
2006
As IC technologies scale to finer feature sizes, it becomes increasingly difficult to control the relative process variations. The increasing fluctuations in manufacturing process...
ICONIP
2007
13 years 7 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glob...
CVPR
2010
IEEE
13 years 12 months ago
2010
IEEE
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glo...