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Variational Inference and Learning of Piecewise-linear Dynamical Systems

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Academic year: 2021

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Fig. 1. Graphical representation of the switching linear dynamic model that show the dependencies between the latent variables (white circles) and the observed variables (gray circles).
Fig. 2. The proposed variational P-LDS algorithm applied to the problem of head pose tracking (HPT)
Fig. 3. An example from the Biwi-Kinect dataset of a person that rotates his head from left to right and then from right to left (yaw angle)

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