510 search results - page 3 / 102 » Gradient Estimation Revitalized |
JMLR
2010
13 years 2 months ago
2010
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
PAMI
2002
13 years 7 months ago
2002
PAMI
2012
11 years 10 months ago
2012
—The restoration of a blurry or noisy image is commonly performed with a MAP estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The 2- 1 sparse signal minimization problem can be solved efficiently by gradient projection. In many applications, the signal to be estimated is known to lie in some range of va...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...