42 search results - page 3 / 9 » Online dictionary learning for sparse coding |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
Sparse representation based classification has led to interesting image recognition results, while the dictionary used for sparse coding plays a key role in it. This paper present...