440 search results - page 9 / 88 » Learning Nonlinear Dynamic Models from Non-sequenced Data |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
BC
2002
14 years 9 months ago
2002
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
123
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BIOCOMP
2006
14 years 11 months ago
2006
Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
111
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
In this paper we describe a method to learn parameters
which govern pedestrian motion by observing video
data. Our learning framework is based on variational
mode learning and a...