JMLR
2012
12 years 2 months ago
2012
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
WACV
2012
IEEE
12 years 7 months ago
2012
IEEE
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
ICCV
2011
IEEE
12 years 12 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...
ICCV
2011
IEEE
12 years 12 months ago
2011
IEEE
As a recently proposed technique, sparse representation based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse lin...
ICCV
2011
IEEE
12 years 12 months ago
2011
IEEE
This paper proposes a novel sparse representation model called centralized sparse representation (CSR) for image restoration tasks. In order for faithful image reconstruction, it ...
ICCV
2011
IEEE
12 years 12 months ago
2011
IEEE
We present an approach for dictionary learning of action attributes via information maximization. We unify the class distribution and appearance information into an objective func...
FGR
2011
IEEE
13 years 3 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
2011
IEEE
13 years 3 months ago
2011
IEEE
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Sparse representations of signals have received a great deal of attention in recent years, and the sparse representation classifier has very lately appeared in a speaker recogniti...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
When seeking a sparse representation of a signal on a redundant basis, one might want to convey available a priori information on the observations to the optimization criterion. I...