68 search results - page 1 / 14 » Inertial Hidden Markov Models: Modeling Change in Multivaria... |
IDA
2003
Springer
13 years 10 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...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
DSOM
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Nowadays, network load is constantly increasing and high-speed infrastructures (1-10Gbps) are becoming increasingly common. In this context, flow-based intrusion detecti...