1118 search results - page 7 / 224 » Convex Optimization |
69
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
66
Voted
TASLP
2010
14 years 4 months ago
2010
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
TIT
2010
14 years 4 months ago
2010
Abstract--We establish that the min-sum messagepassing algorithm and its asynchronous variants converge for a large class of unconstrained convex optimization problems, generalizin...
72
Voted
EOR
2007
14 years 9 months ago
2007
Abstract. Given an optimization problem with a composite of a convex and componentwise increasing function with a convex vector function as objective function, by means of the conj...
ALT
2004
Springer
15 years 6 months ago
2004
Springer
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...