48 search results - page 2 / 10 » Nonparametric Bayesian Clustering Ensembles |
JACM
2010
13 years 2 months ago
2010
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
JMLR
2010
12 years 11 months ago
2010
Prior distributions play a crucial role in Bayesian approaches to clustering. Two commonly-used prior distributions are the Dirichlet and Pitman-Yor processes. In this paper, we i...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
IJCV
2008
13 years 4 months ago
2008
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...