1956 search results - page 28 / 392 » Learning the Relative Importance of Features in Image Data |
ACL
2006
13 years 10 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...
LREC
2008
13 years 10 months ago
2008
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
DAGSTUHL
2006
13 years 10 months ago
2006
Cognitive Vision has to represent, reason and learn about objects in its environment it has to manipulate and react to. There are deformable objects like humans which cannot be des...
MICCAI
2008
Springer
14 years 2 months ago
2008
Springer
Accurate estimation and tracking of dynamic tissue deformation is important to motion compensation, intra-operative surgical guidance and navigation in minimally invasive surgery. ...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...