98 search results - page 7 / 20 » Regression on manifolds using kernel dimension reduction |
ICCAD
2006
IEEE
14 years 3 months ago
2006
IEEE
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
NIPS
2003
13 years 8 months ago
2003
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
BMCBI
2010
13 years 6 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
MICCAI
1999
Springer
13 years 11 months ago
1999
Springer
Interpolation is required in many medical image processing operations. From sampling theory, it follows that the ideal interpolation kernel is the sinc function, which is of infin...
DAGM
2006
Springer
13 years 10 months ago
2006
Springer
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...