116 search results - page 6 / 24 » Dimensionality reduction techniques for proximity problems |
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
VISSYM
2003
13 years 9 months ago
2003
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
SIGMOD
2001
ACM
14 years 7 months ago
2001
ACM
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
WEBI
2010
Springer
13 years 5 months ago
2010
Springer
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...