1825 search results - page 3 / 365 » Local Dimensionality Reduction |
ICONIP
2004
13 years 6 months ago
2004
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
IJPRAI
2010
13 years 2 months ago
2010
: Many locality-based unsupervised dimensionality reduction (DR) algorithms have recently been proposed and demonstrated to be effective to a certain degree in some classification ...
SIGMOD
2001
ACM
14 years 5 months ago
2001
ACM
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
ICDM
2003
IEEE
13 years 10 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...
NIPS
2001
13 years 6 months ago
2001
