220 search results - page 6 / 44 » SMOS L1 algorithms |
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
NIPS
2008
14 years 11 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
90
Voted
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
We propose an ℓ1 criterion for dictionary learning for sparse signal representation. Instead of directly searching for the dictionary vectors, our dictionary learning approach i...
82
Voted
ICASSP
2010
IEEE
14 years 8 months ago
2010
IEEE
Acoustic room modeling has several applications. Recent results using large microphone arrays show good performance, and are helpful in many applications. For example, when design...
88
Voted
AAAI
2007
14 years 12 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...