Gibbs Sampling Strategies for Semantic Perception of Streaming Video Data. Girdhar, Y. & Dudek, G. ArXiv e-prints, 2015. ![Gibbs Sampling Strategies for Semantic Perception of Streaming Video Data [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website abstract bibtex Topic modeling of streaming sensor data can be used for high level perception of the environment by a mobile robot. In this paper we compare various Gibbs sampling strategies for topic modeling of streaming spatiotemporal data, such as video captured by a mobile robot. Compared to previous work on online topic modeling, such as o-LDA and incremental LDA, we show that the proposed technique results in lower online and final perplexity, given the realtime constraints.
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abstract = {Topic modeling of streaming sensor data can be used for high level perception of the environment by a mobile robot. In this paper we compare various Gibbs sampling strategies for topic modeling of streaming spatiotemporal data, such as video captured by a mobile robot. Compared to previous work on online topic modeling, such as o-LDA and incremental LDA, we show that the proposed technique results in lower online and final perplexity, given the realtime constraints.},
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author = {Girdhar, Yogesh and Dudek, Gregory},
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