340 search results - page 19 / 68 » Linear Dependent Dimensionality Reduction |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
JMLR
2010
13 years 3 months ago
2010
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
ICCAD
2004
IEEE
14 years 5 months ago
2004
IEEE
— In this paper we investigate an effective approach to construct a linear decompression network in the multiple scan chain architecture. A minimal pin architecture, complemented...
AAAI
2010
13 years 10 months ago
2010
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...