1380 search results - page 89 / 276 » Learning Hierarchical Shape Models from Examples |
WACV
2005
IEEE
14 years 1 months ago
2005
IEEE
A global parametric shape model (boundary) of the object is optimized according to evidence accumulated from local features and the prior probability of the model parameters learn...
EMNLP
2008
13 years 9 months ago
2008
In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
U-shaped learning is a learning behaviour in which the learner first learns a given target behaviour, then unlearns it and finally relearns it. Such a behaviour, observed by psych...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We employ 3D arrangements of curves to represent and analyze biological shapes, in particular, the anatomy of the human brain. The arrangements of curves may vary from fairly spar...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
Statistical approaches for building non-rigid deformable
models, such as the Active Appearance Model (AAM), have
enjoyed great popularity in recent years, but typically require
...