1088 search results - page 43 / 218 » Robust Principal Component Analysis for Computer Vision |
COMPLEX
2009
Springer
14 years 2 months ago
2009
Springer
To probe network characteristics, two predominant ways of network comparison are global property statistics and subgraph enumeration. However, they suffer from limited information...
SSDBM
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Gait is a promising biometric cue which can facilitate the recognition of human beings, particularly when other biometrics are unavailable. Existing work for gait recognition, how...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
PR
2007
13 years 7 months ago
2007
Identification of local anisotropy and determination of principal axes is addressed through different methods that are designed to be tolerant to the non-smooth character of ima...