1088 search results - page 2 / 218 » Robust Principal Component Analysis for Computer Vision |
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
AMCS
2008
13 years 6 months ago
2008
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
ECCV
2002
Springer
14 years 8 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...