1380 search results - page 7 / 276 » Learning Hierarchical Shape Models from Examples |
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Scoring rules are a broad and concisely-representable class of voting rules which includes, for example, Plurality and Borda. Our main result asserts that the class of scoring rul...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...