1704 search results - page 113 / 341 » Learning nonlinear dynamic models |
128
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ICPR
2002
IEEE
16 years 2 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...
119
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IJBC
2008
15 years 1 months ago
2008
The localization of critical parameter sets called bifurcations is often a central task of the analysis of a nonlinear dynamical system. Bifurcations of codimension 1 that can be ...
113
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CVPR
2000
IEEE
16 years 3 months ago
2000
IEEE
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
97
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NIPS
2000
15 years 2 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
124
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ICAPR
2009
Springer
14 years 11 months ago
2009
Springer
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...