120 search results - page 20 / 24 » Collapsed Variational Dirichlet Process Mixture Models |
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured documents pose challenges for probabilistic retrie...
ICIP
2010
IEEE
13 years 7 months ago
2010
IEEE
Statistical modeling of images plays a crucial role in modern image processing tasks like segmentation, object detection and restoration. Although Gaussian distributions are conve...
CVPR
2006
IEEE
14 years 3 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...
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
BMCBI
2008
13 years 10 months ago
2008
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...