68 search results - page 11 / 14 » Inertial Hidden Markov Models: Modeling Change in Multivaria... |
IDEAL
2004
Springer
14 years 25 days ago
2004
Springer
Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
NN
1997
Springer
13 years 11 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
WSC
2007
13 years 9 months ago
2007
We study an approximation for the zero-variance change of measure to estimate the probability of a rare event in a continuous-time Markov chain. The rare event occurs when the cha...
ICIP
2002
IEEE
14 years 12 days ago
2002
IEEE
This paper presents a unified approach to human activity capturing and recognition. It targets applications such as a speaker walking, turning around, sitting and getting up from ...
LOCA
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected ...