560 search results - page 27 / 112 » Level-set methods for convex optimization |
CORR
2010
Springer
15 years 2 months ago
2010
Springer
In this paper we consider the issue of energy efficiency in random access networks and show that optimizing transmission probabilities of nodes can enhance network performance in t...
103
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
In this paper, we propose a new shape decomposition method, called convex shape decomposition. We formalize the convex decomposition problem as an integer linear programming probl...
ISBI
2009
IEEE
15 years 8 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
SIAMJO
2008
15 years 1 months ago
2008
Many optimization problems are naturally delivered in an uncertain framework, and one would like to exercise prudence against the uncertainty elements present in the problem. In pr...
113
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SDM
2010
SIAM
15 years 10 days ago
2010
SIAM
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...