84 search results - page 8 / 17 » Gradient-Based Methods for Sparse Recovery |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
JMLR
2012
11 years 10 months ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
TSP
2008
13 years 7 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
HPDC
2011
IEEE
12 years 11 months ago
2011
IEEE
In today’s high performance computing practice, fail-stop failures are often tolerated by checkpointing. While checkpointing is a very general technique and can often be applied...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...