111 search results - page 15 / 23 » Causal Graphical Models with Latent Variables: Learning and ... |
111
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EMNLP
2009
14 years 7 months ago
2009
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
114
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CVPR
2012
IEEE
13 years 1 days ago
2012
IEEE
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
TSP
2010
14 years 4 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...