117 search results - page 1 / 24 » Sparse reconstruction by separable approximation |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
SIAMIS
2011
12 years 11 months ago
2011
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span o...