1336 search results - page 54 / 268 » A Bayesian Computational Cognitive Model |
131
Voted
IJCAI
2007
15 years 5 months ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
133
click to vote
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
150
Voted
ECCV
1994
Springer
15 years 7 months ago
1994
Springer
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
133
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JMLR
2007
15 years 3 months ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
163
Voted
CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
The accurate localization of facial features plays a fundamental
role in any face recognition pipeline. Constrained
local models (CLM) provide an effective approach to localizati...