371 search results - page 28 / 75 » Learning to match and cluster large high-dimensional data se... |
CIKM
1993
Springer
13 years 11 months ago
1993
Springer
match algorithms that can efficiently handleAbstract complex tests in the presence of large amounts of data. Match algorithms that are capable of handling large amounts of On the o...
FGR
2008
IEEE
13 years 9 months ago
2008
IEEE
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
JMLR
2002
13 years 7 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
We consider the problem of integrating a large number of interface schemas over the Deep Web, The scale of the problem and the diversity of the sources present serious challenges ...
ACL
1996
13 years 9 months ago
1996
In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge source...