332 search results - page 13 / 67 » On the Performance of Chernoff-Distance-Based Linear Dimensi... |
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
BIOWIRE
2007
Springer
15 years 3 months ago
2007
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. In particular, r...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
ACMACE
2008
ACM
14 years 11 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we consider the problem of manifold approximation with affine subspaces. Our objective is to discover a set of low dimensional affine subspaces that represents ma...