89 search results - page 16 / 18 » Sparse Recovery by Non-convex Optimization -- Instance Optim... |
ICASSP
2008
IEEE
14 years 6 days ago
2008
IEEE
In the case of multicomponent AM-FM signals, the idealized representation which consists of weighted trajectories on the time-frequency (TF) plane, is intrinsically sparse. Recent...
SIGPRO
2010
13 years 4 months ago
2010
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...
IPPS
2008
IEEE
14 years 5 days ago
2008
IEEE
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
JMLR
2010
13 years 17 days ago
2010
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...