98 search results - page 1 / 20 » On Point Sampling Versus Space Sampling for Dimensionality R... |
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
SIAMSC
2008
13 years 4 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 ...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we focus on the use of random projections as a dimensionality reduction tool for sampled manifolds in highdimensional Euclidean spaces. We show that geodesic paths ...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...