163 search results - page 23 / 33 » Learning universal probabilistic models for fault localizati... |
NECO
2008
13 years 7 months ago
2008
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
FECS
2007
13 years 9 months ago
2007
In this paper we present an innovative prototype Open Source Teaching/Learning Collaboratory created at UC Merced that will provide the foundation for offering the vast majority of...
ICCV
1999
IEEE
13 years 12 months ago
1999
IEEE
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
PAMI
2007
13 years 7 months ago
2007
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
UAI
2003
13 years 9 months ago
2003
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...