340 search results - page 9 / 68 » Linear Dependent Dimensionality Reduction |
ICA
2004
Springer
14 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 ...
BMVC
2010
13 years 8 months ago
2010
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
ICPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...
WACV
2002
IEEE
14 years 2 months ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...