172 search results - page 6 / 35 » Learning to Predict Code-Switching Points |
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
DAGM
2007
Springer
13 years 11 months ago
2007
Springer
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
ACL
2009
13 years 5 months ago
2009
This paper introduces the concepts of asking point and expected answer type as variations of the question focus. They are of particular importance for QA over semistructured data,...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...