1520 search results - page 43 / 304 » Class Hierarchy Specialization |
COCO
1998
Springer
13 years 12 months ago
1998
Springer
We define probabilistic martingales based on randomized approximation schemes, and show that the resulting notion of probabilistic measure has several desirable robustness propert...
ACL
2006
13 years 9 months ago
2006
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
CSL
2007
Springer
14 years 1 months ago
2007
Springer
Existing definitions of the relativizations of NC1 , L and NL do not preserve the inclusions NC1 ⊆ L, NL ⊆ AC1 . We start by giving the first definitions that preserve them....
JMLR
2002
13 years 7 months ago
2002
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...