319 search results - page 23 / 64 » Learning Nonlinear Manifolds from Time Series |
AMFG
2005
IEEE
15 years 3 months ago
2005
IEEE
We present a new framework to represent and analyze dynamic facial motions using a decomposable generative model. In this paper, we consider facial expressions which lie on a one d...
BIOCOMP
2009
14 years 10 months ago
2009
Modern approaches to treating genetic disorders, cancers and even epidemics rely on a detailed understanding of the underlying gene signaling network. Previous work has used time s...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
Our paper addresses the problem of enforcing constraints in human body tracking. A projection technique is derived to impose kinematic constraints on independent multi-body motion...
CVPR
1999
IEEE
15 years 11 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...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...