117 search results - page 1 / 24 » Sparse reconstruction by separable approximation |
ICASSP
2008
IEEE
14 years 1 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
13 years 2 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 9 months ago
2003
IEEE
ICML
2010
IEEE
13 years 8 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 4 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...