101 search results - page 1 / 21 » Fisher Discrimination Dictionary Learning for Sparse Represe... |
ICCV
2011
IEEE
12 years 4 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...
NIPS
2008
13 years 5 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
CVPR
2012
IEEE
11 years 6 months 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...
ICCV
2011
IEEE
12 years 4 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...
ICA
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...