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Abstract: In this article, we investigate the problem of tracking objects with unknown shapes using 3-D point cloud data. We propose a Gaussian process-based model to jointly estimate object ...
Abstract: Robust matrix completion refers to recovering a low-rank matrix given a subset of the entries corrupted by gross errors, and has various applications since many real-world signals can be ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
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