192 search results - page 11 / 39 » Coarse-to-Fine Statistical Shape Model by Bayesian Inference |
CACM
2011
14 years 6 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
15 years 1 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...
117
click to vote
BMCBI
2010
14 years 11 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
16 years 4 months 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...
125
click to vote
NIPS
2000
15 years 1 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 ...