34 search results - page 2 / 7 » Dimension reduction in functional regression with applicatio... |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We consider the problem of dimensionality reduction, where given high-dimensional data we want to estimate two mappings: from high to low dimension (dimensionality reduction) and f...
BMCBI
2007
13 years 5 months ago
2007
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
ICCAD
2006
IEEE
14 years 2 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...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We introduce a parametric version (pDRUR) of the recently proposed Dimensionality Reduction by Unsupervised Regression algorithm. pDRUR alternately minimizes reconstruction error ...
IDA
2009
Springer
14 years 10 days ago
2009
Springer
Abstract. Joint diagonalization for ICA is often performed on the orthogonal group after a pre-whitening step. Here we assume that we only want to extract a few sources after pre-w...