100 search results - page 4 / 20 » Learning distance function by coding similarity |
ICASSP
2009
IEEE
14 years 16 days ago
2009
IEEE
This paper considers a method for learning a distance metric in a fingerprinting system which identifies a query content by measuring the distance between the fingerprint of th...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
KDD
2003
ACM
14 years 6 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...
KDD
2005
ACM
14 years 6 months ago
2005
ACM
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
NIPS
2008
13 years 7 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...