444 search results - page 6 / 89 » Learning Nonlinear Dynamical Systems Using an EM Algorithm |
80
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CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...
102
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ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is a...
EACL
2009
ACL Anthology
15 years 10 months ago
2009
ACL Anthology
We present an algorithm for pronounanaphora (in English) that uses Expectation Maximization (EM) to learn virtually all of its parameters in an unsupervised fashion. While EM freq...
PAMI
2008
14 years 9 months ago
2008
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
HYBRID
2010
Springer
15 years 4 months ago
2010
Springer
One of the oldest problems in the study of dynamical systems is the calculation of an optimal control. Though the determination of a numerical solution for the general nonconvex o...