38 search results - page 8 / 8 » Sparse PCA: Extracting Multi-scale Structure from Data |
CORR
2010
Springer
13 years 5 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 7 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 5 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...