44 search results - page 8 / 9 » Efficient Matrix Completion with Gaussian Models |
JMLR
2002
13 years 5 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
PAMI
1998
13 years 5 months ago
1998
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
UAI
2004
13 years 7 months ago
2004
One of the major problems in modeling natural signals is that signals with very similar structure may locally have completely different measurements, e.g., images taken under diff...
ISBI
2008
IEEE
14 years 6 months ago
2008
IEEE
Four-dimensional ultrasound based on matrix phased array transducers can capture the complex 4D cardiac motion in a complete and real-time fashion. However, the large amount of in...