1315 search results - page 107 / 263 » Discovering Classification from Data of Multiple Sources |
137
Voted
KDD
2012
ACM
13 years 4 months ago
2012
ACM
Social media has become a major source of information for many applications. Numerous techniques have been proposed to analyze network structures and text contents. In this paper,...
123
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CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
VIEWS
1996
15 years 3 months ago
1996
A data warehouse collects and integrates data from multiple, autonomous, heterogeneous, sources. The warehouse e ectively maintains one or more materialized views over the source ...
115
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DGO
2006
15 years 3 months ago
2006
A general problem in combining road vector data with orthoimagery from different sources is that they rarely align. There are a variety of causes to this problem, but the most com...
130
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NIPS
2007
15 years 3 months ago
2007
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...