334 search results - page 20 / 67 » Local Dimensionality Reduction: A New Approach to Indexing H... |
SDM
2004
SIAM
13 years 8 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
PAMI
1998
13 years 7 months ago
1998
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
GECCO
2003
Springer
14 years 21 days ago
2003
Springer
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
PAMI
2007
13 years 7 months ago
2007
This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...