26 search results - page 1 / 6 » Time-Series Classification Using Mixed-State Dynamic Bayesia... |
CVPR
1999
IEEE
14 years 6 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
BMCBI
2005
13 years 4 months ago
2005
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
IDA
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
AINA
2008
IEEE
13 years 11 months ago
2008
IEEE
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...