396 search results - page 18 / 80 » Lossy Reduction for Very High Dimensional Data |
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
KDD
1998
ACM
15 years 1 months ago
1998
ACM
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
106
Voted
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
CVPR
2008
IEEE
15 years 11 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 ...