5 search results - page 1 / 1 » Model Reduction for Large-Scale Systems with High-Dimensiona... |
SIAMSC
2008
13 years 5 months ago
2008
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
SIAMSC
2010
13 years 3 months ago
2010
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
ICDE
2009
IEEE
14 years 6 months ago
2009
IEEE
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...