1051 search results - page 23 / 211 » An algorithm for the principal component analysis of large d... |
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automat...
DATAMINE
2006
13 years 8 months ago
2006
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...