Sciweavers

879 search results - page 86 / 176
» Forecasting high-dimensional data
Sort
View
ICCS
2007
Springer
15 years 4 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
ICDE
2006
IEEE
164views Database» more  ICDE 2006»
15 years 11 months ago
New Sampling-Based Estimators for OLAP Queries
One important way in which sampling for approximate query processing in a database environment differs from traditional applications of sampling is that in a database, it is feasi...
Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gaga...
ICPR
2004
IEEE
15 years 11 months ago
Nearest Neighbor Ensemble
Recent empirical work has shown that combining predictors can lead to significant reduction in generalization error. The individual predictors (weak learners) can be very simple, ...
Bojun Yan, Carlotta Domeniconi
ICPR
2004
IEEE
15 years 11 months ago
Face Recognition Based on Discriminative Manifold Learning
In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the discriminative embedding the high dimensional face data into a low dim...
Kap Luk Chan, Lei Wang, Yiming Wu
ICML
2009
IEEE
15 years 10 months ago
Partially supervised feature selection with regularized linear models
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
Thibault Helleputte, Pierre Dupont