54 search results - page 2 / 11 » Detection of sparse signals under finite-alphabet constraint... |
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
ICASSP
2008
IEEE
13 years 12 months ago
2008
IEEE
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
FGR
2011
IEEE
12 years 9 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...
ICASSP
2008
IEEE
13 years 12 months ago
2008
IEEE
We pose the problem of tracing traitors, who have colluded to circumvent a multimedia fingerprinting system, as a sparse underdetermined linear problem. We propose a range of det...
ICASSP
2009
IEEE
14 years 6 days ago
2009
IEEE
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...