Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic models
© 2017 IEEE. The gap between our ability to collect interesting data and our ability to analyze these data is growing at an unprecedented rate. Recent algorithmic attempts to fill this gap have employed unsupervised tools to discover structure in data. Some of the most successful approaches have use...
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Institute of Electrical and Electronics Engineers (IEEE)
2018
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| Online Access: | http://hdl.handle.net/1721.1/115970 https://orcid.org/0000-0002-8293-0492 |