921 search results - page 39 / 185 » Kernel Principal Component Analysis |
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covaria...
FTML
2010
13 years 6 months ago
2010
We give a tutorial overview of several geometric methods for dimension reduction. We divide the methods into projective methods and methods that model the manifold on which the da...
ICCV
1999
IEEE
13 years 12 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In many physical statistical, biological and other investigations it is desirable to approximate a system of points by objects of lower dimension and/or complexity. For this purpo...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...