42 search results - page 3 / 9 » Performing Incremental Bayesian Inference by Dynamic Model C... |
CVPR
1999
IEEE
15 years 27 days 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...
ICPR
2002
IEEE
14 years 12 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
IJON
2010
13 years 9 months ago
2010
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
NIPS
2000
14 years 7 days ago
2000
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
RECOMB
2007
Springer
14 years 11 months ago
2007
Springer
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...