2949 search results - page 1 / 590 » Universal Sparse Modeling |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
JMLR
2012
11 years 7 months ago
2012
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Scalar quantization is the most practical and straightforward approach to signal quantization. However, it has been shown that scalar quantization of oversampled or Compressively ...
CVPR
2009
IEEE
15 years 17 days ago
2009
IEEE
In this paper, we present a multi-label sparse coding
framework for feature extraction and classification within
the context of automatic image annotation. First, each image
is ...