1088 search results - page 34 / 218 » Robust Principal Component Analysis for Computer Vision |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the au...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
The vignette effect (radial fall-off) is commonly encountered in images obtained through certain image acquisition setups and can seriously hinder automatic analysis processes. In...
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...
ECCV
2010
Springer
14 years 23 days ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...