478 search results - page 11 / 96 » Unsupervised Learning of Image Transformations |
CVPR
2012
IEEE
12 years 7 days 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...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
NIPS
2008
13 years 11 months ago
2008
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...