112 search results - page 20 / 23 » Bayesian density estimation and model selection using nonpar... |
CSDA
2007
14 years 9 months ago
2007
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
TIT
1998
14 years 9 months ago
1998
—We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
143
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
A Bayesian marked point process (MPP) model is developed
to detect and count people in crowded scenes. The
model couples a spatial stochastic process governing number
and placem...
101
click to vote
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...