68 search results - page 9 / 14 » Learning Latent Tree Graphical Models |
NIPS
2003
14 years 7 days ago
2003
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
TSP
2010
13 years 5 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...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
NIPS
2004
14 years 8 days ago
2004
Directed graphical models with one layer of observed random variables and one or more layers of hidden random variables have been the dominant modelling paradigm in many research ...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...