192 search results - page 11 / 39 » Coarse-to-Fine Statistical Shape Model by Bayesian Inference |
CACM
2011
13 years 2 months ago
2011
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
NIPS
2008
13 years 8 months ago
2008
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
BMCBI
2010
13 years 7 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
ICCV
2009
IEEE
15 years 12 days ago
2009
IEEE
Based on scaling laws describing the statistical structure
of turbulent motion across scales, we propose a multiscale
and non-parametric regularizer for optic-flow estimation.
R...
NIPS
2000
13 years 8 months ago
2000
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...