80 search results - page 8 / 16 » 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...
SISAP
2010
IEEE
13 years 5 months ago
2010
IEEE
Most multimedia information retrieval systems use an indexing scheme to speed up similarity search. The index aims to discard large portions of the data collection at query time. ...
ICCV
2009
IEEE
15 years 13 days ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...