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Learning Nonlinear Dynamic Models
This video was recorded at 26th International Conference on Machine Learning (ICML), Montreal 2009. We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory showing this new approach is consistent for models with long range structure, and apply the approach to motion capture and high-dimensional video data, yielding results superior to standard alternatives.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
