396 search results - page 15 / 80 » Modeling High-Dimensional Data by Combining Simple Experts |
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
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AMFG
2005
IEEE
15 years 3 months ago
2005
IEEE
We introduce a novel framework for automatic 3D facial expression analysis in videos. The preliminary results were demonstrated by editing the facial expression with facial recogni...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
BMCBI
2010
14 years 9 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...