59 search results - page 3 / 12 » A Bayesian Hierarchical Model for Learning Natural Scene Cat... |
CVPR
2006
IEEE
13 years 11 months ago
2006
IEEE
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
NIPS
1997
13 years 6 months ago
1997
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
MM
2004
ACM
13 years 10 months ago
2004
ACM
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
IJDMMM
2010
2010
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
13 years 3 months ago
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
UAI
2008
13 years 6 months ago
2008
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Ba...