31 search results - page 2 / 7 » Minimization of detail-preserving regularization functional ... |
CVPR
2005
IEEE
14 years 7 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...
SIAMIS
2010
13 years 1 days ago
2010
Image restoration problems are often converted into large-scale, nonsmooth and nonconvex optimization problems. Most existing minimization methods are not efficient for solving su...
JMLR
2010
13 years 3 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
JMLR
2010
13 years 2 days ago
2010
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
TMI
2010
13 years 3 months ago
2010
—We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the Total Variation (TV) functional are suitable for in vivo imag...