23 search results - page 5 / 5 » Rank Aggregation via Nuclear Norm Minimization |
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...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...