247 search results - page 18 / 50 » Singular value decomposition on GPU using CUDA |
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
3DPVT
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper demonstrates that, for axial non-central optical systems, the equation of a 3D line can be estimated using only four points extracted from a single image of the line. T...
EMNLP
2007
14 years 11 months ago
2007
Following (Blitzer et al., 2006), we present an application of structural correspondence learning to non-projective dependency parsing (McDonald et al., 2005). To induce the corre...
190
Voted
SDM
2011
SIAM
14 years 8 days ago
2011
SIAM
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
SCIA
2009
Springer
15 years 4 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...