334 search results - page 35 / 67 » Local Dimensionality Reduction: A New Approach to Indexing H... |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
DEXA
2006
Springer
13 years 9 months ago
2006
Springer
Indexing high-dimensional data for efficient nearest-neighbor searches poses interesting research challenges. It is well known that when data dimension is high, the search time can...
TSMC
2008
13 years 7 months ago
2008
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
BMCBI
2011
13 years 2 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
ICDE
2012
IEEE
11 years 10 months ago
2012
IEEE
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...