28 search results - page 1 / 6 » Double sparsity: learning sparse dictionaries for sparse sig... |
TSP
2010
12 years 11 months ago
2010
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
SIGPRO
2011
12 years 11 months ago
2011
In this paper, we survey and compare different algorithms that, given an overcomplete dictionary of elementary functions, solve the problem of simultaneous sparse signal approxim...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
ICA
2010
Springer
13 years 6 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...
COLT
2010
Springer
13 years 2 months ago
2010
Springer
Let S be an arbitrary measurable space, T R and (X, Y ) be a random couple in S