133 search results - page 2 / 27 » Adaptive metric dimensionality reduction |
VLDB
2007
ACM
14 years 6 months ago
2007
ACM
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
DATAMINE
2007
13 years 6 months ago
2007
SIGMOD
2001
ACM
14 years 6 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
2002
IEEE
13 years 11 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
CVPR
2006
IEEE
14 years 8 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...