51 search results - page 10 / 11 » Unified Principal Component Analysis with generalized Covari... |
AC
2003
Springer
13 years 9 months ago
2003
Springer
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
CONTEXT
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
We present an algorithm for detecting human actions
based upon a single given video example of such actions.
The proposed method is unsupervised, does not require
learning, segm...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...