28 search results - page 2 / 6 » Compressing Sparse Feature Vectors Using Random Ortho-Projec... |
FGR
2011
IEEE
13 years 1 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 6 months 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 8 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 10 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 7 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...