273 search results - page 32 / 55 » Learning the Structure of Deep Sparse Graphical Models |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
TOG
2012
11 years 11 months ago
2012
We present an approach to synthesizing shapes from complex domains, by identifying new plausible combinations of components from existing shapes. Our primary contribution is a new...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
TNN
1998
13 years 8 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
JMLR
2010
13 years 3 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...