79 search results - page 2 / 16 » Structure Learning with Nonparametric Decomposable Models |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
JMLR
2008
13 years 7 months ago
2008
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
EMMCVPR
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
ICCV
2009
IEEE
15 years 24 days ago
2009
IEEE
High-level, or holistic, scene understanding involves
reasoning about objects, regions, and the 3D relationships
between them. This requires a representation above the
level of ...