1825 search results - page 34 / 365 » Local Dimensionality Reduction |
SMA
2003
ACM
15 years 2 months ago
2003
ACM
Dimensional reduction is a simplification technique that eliminates one or more dimensions from a boundary value problem. It results in significant computational savings with mini...
SLSFS
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. Howeve...
PRL
2010
14 years 8 months ago
2010
In this paper, our main contribution is a framework for the automatic configuration of any spectral dimensionality reduction methods. This is achieved, first, by introducing the m...
69
Voted
COMSIS
2010
14 years 7 months ago
2010
Dimensionality reduction is an important preprocessing step in high-dimensional data analysis without losing intrinsic information. The problem of semi-supervised nonlinear dimensi...
ICA
2004
Springer
15 years 3 months ago
2004
Springer
In usual ICA methods, sources are typically estimated by maximizing a measure of their statistical independence. This paper explains how to perform non-linear ICA by preprocessing ...