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146
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SCL
2010
97views more  SCL 2010»
15 years 2 months ago
Krylov subspace methods for model order reduction of bilinear control systems
We discuss the use of Krylov subspace methods with regard to the problem of model order reduction. The focus lies on bilinear control systems, a special class of nonlinear systems...
Tobias Breiten, Tobias Damm
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
15 years 11 months ago
A Non-parametric Semi-supervised Discretization Method
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
Alexis Bondu, Marc Boullé, Vincent Lemaire,...
CDC
2010
IEEE
130views Control Systems» more  CDC 2010»
14 years 11 months ago
A fast well-conditioned interior point method for predictive control
Interior point methods (IPMs) have proven to be an efficient way of solving quadratic programming problems in predictive control. A linear system of equations needs to be solved in...
Amir Shahzad, Eric C. Kerrigan, George A. Constant...
144
Voted
ICIP
2009
IEEE
15 years 2 months ago
A high-resolution image reconstuction method from low-resolution image sequence
This paper presents a high-resolution image reconstruction method from low-resolution image sequence. It is difficult to recognize details from a low-resolution image because of s...
Yeol-Min Seong, HyunWook Park
SIAMNUM
2010
105views more  SIAMNUM 2010»
14 years 11 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami