28 search results - page 2 / 6 » Compressing Sparse Feature Vectors Using Random Ortho-Projec... |
FGR
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
CORR
2012
Springer
12 years 9 days ago
2012
Springer
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
CORR
2010
Springer
13 years 1 months ago
2010
Springer
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...