411 search results - page 3 / 83 » Rank Estimation in Missing Data Matrix Problems |
SIAMMAX
2010
12 years 11 months ago
2010
The problem of completing a low-rank matrix from a subset of its entries is often encountered in the analysis of incomplete data sets exhibiting an underlying factor model with app...
TSP
2008
13 years 4 months ago
2008
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
SIAMSC
2011
12 years 11 months ago
2011
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
CVPR
2010
IEEE
13 years 2 months ago
2010
IEEE
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
The problem of low-rank matrix factorization in the presence of missing data has seen significant attention in recent computer vision research. The approach that dominates the lit...