Leijun Liu

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Trajectory prediction is an important problem that has a large number of applications. A common approach to trajectory prediction is based on historical trajectories. However, existing techniques suffer from the " data sparsity problem ". The available historical trajectories are far from enough to cover all possible query trajectories. We propose the(More)
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