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• W2037594310 abstract "We propose a new approach for learning a summarized representation of high dimensional continuous data. Our technique consists of a Bayesian non-parametric model capable of encoding high-dimensional data from complex distributions using a sparse summarization. Specifically, the method marries techniques from probabilistic dimensionality reduction and clustering. We apply the model to learn efficient representations of grasping data for two robotic scenarios." @default.
• W2037594310 created "2016-06-24" @default.
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• W2037594310 date "2013-05-01" @default.
• W2037594310 modified "2023-09-30" @default.
• W2037594310 title "Sparse summarization of robotic grasping data" @default.
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• W2037594310 doi "https://doi.org/10.1109/icra.2013.6630707" @default.
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