4 search results - page 1 / 1 » Recovering Low-Rank and Sparse Components of Matrices from I... |
SIAMJO
2011
12 years 11 months ago
2011
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
SCIA
2009
Springer
13 years 11 months ago
2009
Springer
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
CVPR
2011
IEEE
12 years 12 months ago
2011
IEEE
Exact recovery from contaminated visual data plays an important role in various tasks. By assuming the observed data matrix as the addition of a low-rank matrix and a sparse matri...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Recent work in the emerging field of compressive sensing indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatica...