847 search results - page 48 / 170 » HITS is Principal Components Analysis |
118
Voted
NIPS
1997
15 years 1 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
119
Voted
IJON
2007
15 years 14 days ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
112
Voted
CCE
2005
15 years 13 days ago
2005
The present paper reports a comparative evaluation of four multivariate statistical process control (SPC) techniques for the on-line monitoring of an industrial sugar crystallizat...
91
Voted
ECCV
2000
Springer
16 years 2 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
125
Voted
ICIAR
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. In this paper, several one-class classification methods are investigated in pixel space and PCA (Principal component Analysis) subspace having in mind the need of finding...