20 search results - page 1 / 4 » Fast Nonsmooth Regularized Risk Minimization with Continuati... |
TIP
2010
13 years 10 days ago
2010
Nonconvex nonsmooth regularization has advantages over convex regularization for restoring images with neat edges. However, its practical interest used to be limited by the difficu...
JMIV
2007
13 years 5 months ago
2007
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
SIAMIS
2008
13 years 5 months ago
2008
We consider the restoration of piecewise constant images where the number of the regions and their values are not fixed in advance, with a good difference of piecewise constant val...
JMLR
2010
13 years 4 months ago
2010
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
SIAMIS
2010
13 years 10 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...