534 search results - page 3 / 107 » Data Separation by Sparse Representations |
ICA
2007
Springer
13 years 11 months ago
2007
Springer
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on mo...
ICMLA
2009
13 years 3 months ago
2009
Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
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...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this paper, a new class of audio representations is introduced, together with a corresponding fast decomposition algorithm. The main feature of these representations is that th...