114 search results - page 10 / 23 » Nonlinear adaptive distance metric learning for clustering |
FSKD
2006
Springer
13 years 11 months ago
2006
Springer
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
AMR
2007
Springer
14 years 1 months ago
2007
Springer
Distance measures, along with shape features, are the most critical components in a shape-based 3D model retrieval system. Given a shape feature, an optimal distance measure will v...
CVPR
2010
IEEE
14 years 1 hour ago
2010
IEEE
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...