65 search results - page 4 / 13 » Unsupervised learning of probabilistic object models (POMs) ... |
NIPS
2001
13 years 7 months ago
2001
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
PRL
2011
13 years 28 days ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
DAGM
2008
Springer
13 years 7 months ago
2008
Springer
We propose a probabilistic segmentation scheme, which is widely applicable to some extend. Besides the segmentation itself our model incorporates object specific shading. Dependent...
ICCV
2005
IEEE
14 years 8 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
ICML
2009
IEEE
14 years 6 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...