298 search results - page 15 / 60 » Approximate Inference and Constrained Optimization |
SIAMJO
2010
13 years 2 months ago
2010
We study the problem of minimizing the expected loss of a linear predictor while constraining its sparsity, i.e., bounding the number of features used by the predictor. While the r...
ICIP
2000
IEEE
14 years 9 months ago
2000
IEEE
This paper presents an e cient recursive algorithm for generating operationally optimal intra mode scalable layer decompositions of object contours. The problem is posed in terms ...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
NECO
2008
13 years 7 months ago
2008
In signal restoration by Bayesian inference, one typically uses a parametric model of the prior distribution of the signal. Here, we consider how the parameters of a prior model s...
MCS
2008
Springer
13 years 7 months ago
2008
Springer
In many real-life applications of optimal control problems with constraints in form of partial differential equations (PDEs), hyperbolic equations are involved which typically desc...