33 search results - page 2 / 7 » Projection frameworks for model reduction of weakly nonlinea... |
ICCAD
2001
IEEE
14 years 2 months ago
2001
IEEE
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
SCL
2010
13 years 3 months ago
2010
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...
PARA
2004
Springer
13 years 10 months ago
2004
Springer
A general framework for structure-preserving model reduction by Krylov subspace projection methods is developed. The goal is to preserve any substructures of importance in the matr...
ICIP
2007
IEEE
13 years 9 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...