1391 search results - page 53 / 279 » Optimally Sparse Frames |
ICML
2009
IEEE
16 years 19 days ago
2009
IEEE
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
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CISIS
2008
IEEE
14 years 12 months ago
2008
IEEE
A major issue in wireless sensor networks is to prolong network lifetime by efficient energy management. In this paper we present an initial study of maximum lifetime routing in s...
JMLR
2010
14 years 10 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
FGCS
2006
14 years 12 months ago
2006
Tw o parallel programming models represented b y OpenMP and MPI are compared for PDE solvers based on regular sparse numerical operators. As a typical representative of such an app...