38 search results - page 8 / 8 » Sparse PCA: Extracting Multi-scale Structure from Data |
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
Many computer vision and image processing tasks require the preservation of local discontinuities, terminations and bifurcations. Denoising with feature preservation is a challeng...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Image data are often composed of two or more geometrically distinct constituents; in galaxy catalogs, for instance, one sees a mixture of pointlike structures (galaxy supercluster...