319 search results - page 23 / 64 » Learning Nonlinear Manifolds from Time Series |
113
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AMFG
2005
IEEE
15 years 5 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...
113
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BIOCOMP
2009
15 years 28 days 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
16 years 1 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...
107
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CVPR
1999
IEEE
16 years 1 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...
104
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ICASSP
2011
IEEE
14 years 3 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 ...