122 search results - page 6 / 25 » Exploiting a Probabilistic Hierarchical Model for Generation |
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
NIPS
2004
13 years 9 months ago
2004
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
It is widely conjectured that the excellent ROC performance of biological vision systems is due in large part to the exploitation of context at each of many levels in a part/whole...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose a generative model that codes the geometry and appearance of generic visual object categories as a loose hierarchy of parts, with probabilistic spatial relations linkin...