107 search results - page 16 / 22 » Lower Bounds for Sparse Recovery |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Finding the sparsest solution for an under-determined linear system of equations D = s is of interest in many applications. This problem is known to be NP-hard. Recent work studie...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
—Nuclear norm minimization (NNM) has recently gained attention for its use in rank minimization problems. In this paper, we define weak, sectional and strong recovery for NNM to...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
We consider the problem of shape recovery for real world scenes, where a variety of global illumination (interreflections, subsurface scattering, etc.) and illumination defocus e...