34 search results - page 1 / 7 » Dimension reduction in functional regression with applicatio... |
CSDA
2006
13 years 5 months ago
2006
IDEAL
2010
Springer
13 years 3 months ago
2010
Springer
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
TIP
2010
13 years 14 hour ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...