5409 search results - page 24 / 1082 » Basic Observables for Processes |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
ICIP
2000
IEEE
2000
IEEE
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
14 years 9 months ago
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
FOCS
2002
IEEE
14 years 16 days ago
2002
IEEE
We observe a certain random process on a graph ”locally”, i.e., in the neighborhood of a node, and would like to derive information about ”global” properties of the graph....
ECAI
2004
Springer
14 years 29 days ago
2004
Springer
Recent years have seen considerable developments in modeling techniques for automatic fault location in programs. However, much of this research considered the models from a standa...
FUIN
2007
13 years 7 months ago
2007
A formal model for description of passive and active timing attacks is presented, studied and compared with other security concepts. It is based on a timed process algebra and on a...