96 search results - page 19 / 20 » Regularization parameter trimming for iterative image recons... |
PAMI
2008
13 years 5 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
SIAMIS
2011
13 years 21 days ago
2011
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
SIAMIS
2008
13 years 5 months ago
2008
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
BMCBI
2010
13 years 5 months ago
2010
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
SCIA
2009
Springer
14 years 9 days ago
2009
Springer
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...