122 search results - page 3 / 25 » Exploiting a Probabilistic Hierarchical Model for Generation |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
KDD
2007
ACM
14 years 3 days ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
ISBI
2002
IEEE
14 years 6 months ago
2002
IEEE
In this paper we summarize our results for two classes of hierarchical multi-scale models that exploit contextual information for detection of structure in mammographic imagery. T...
ECCV
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...