A Framework for Robust Subspace Learning (2003)
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by
Fernando De La Torre
,
Michael J. Black
| Venue: | International Journal of Computer Vision |
| Citations: | 61 - 5 self |
BibTeX
@ARTICLE{Torre03aframework,
author = {Fernando De La Torre and Michael J. Black},
title = {A Framework for Robust Subspace Learning},
journal = {International Journal of Computer Vision},
year = {2003},
volume = {54},
pages = {2003}
}
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Abstract
Many computer vision, signal processing and statistical problems can be posed as problems of learning low dimensional linear or multi-linear models. These models have been widely used for the representation of shape, appearance, motion, etc, in computer vision applications.
