84 search results - page 5 / 17 » Robust Matrix Decomposition with Outliers |
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
We consider the problem of fitting one or more subspaces to a collection of data points drawn from the subspaces and corrupted by noise/outliers. We pose this problem as a rank m...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
Robustness of parameter estimation relies on discriminating inliers from outliers within the set of correspondences. In this paper, we present a method using tensor voting to elim...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper we suggest viewing images (as well as attacks on them) as a sequence of linear operators and propose novel hashing algorithms employing transforms that are based on ...
CVPR
2008
IEEE
13 years 9 months ago
2008
IEEE
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
PAMI
2008
13 years 7 months ago
2008
In data-analysis problems with a large number of dimension, principal component analysis based on L2-norm (L2PCA) is one of the most popular methods, but L2-PCA is sensitive to out...