3006 search results - page 54 / 602 » Dimensionality reduction and generalization |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
APVIS
2010
13 years 10 months ago
2010
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
DAC
2009
ACM
14 years 3 months ago
2009
ACM
This paper describes an automatic methodology for optimizing sample point selection for using in the framework of model order reduction (MOR). The procedure, based on the maximiza...
AUSAI
2006
Springer
14 years 14 days ago
2006
Springer
In this paper, we propose the Kernel Laplacian Eigenmaps for nonlinear dimensionality reduction. This method can be extended to any structured input beyond the usual vectorial data...
CIARP
2006
Springer
14 years 13 days ago
2006
Springer
Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reducti...