908 search results - page 147 / 182 » Stochastic Finite Learning |
CORR
2002
Springer
13 years 8 months ago
2002
Springer
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
PE
2000
Springer
13 years 8 months ago
2000
Springer
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all bene...
IJCV
1998
13 years 8 months ago
1998
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
CVPR
2009
IEEE
15 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...
JACM
2010
13 years 7 months ago
2010
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...