282 search results - page 6 / 57 » Parsimonious dictionary learning |
107
click to vote
CVPR
2012
IEEE
13 years 1 days ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
ICALT
2005
IEEE
15 years 3 months ago
2005
IEEE
We believe that with regard to the information technology applications in education, one student one computing device will be the future and long-term trend. Many related studies ...
89
Voted
ICALT
2008
IEEE
15 years 4 months ago
2008
IEEE
One of the problems on using English in Thai students is vocabulary limitation. This paper proposes a methodology to ease learning curve for English content by adding an English-T...
106
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
130
click to vote
CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
A label consistent K-SVD (LC-KSVD) algorithm to learn a discriminative dictionary for sparse coding is presented. In addition to using class labels of training data, we also assoc...