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PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback
We present PSEUDo, an adaptive feature learning technique for exploring ...
04/30/2021 ∙ by Yuncong Yu, et al. ∙
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SAX Navigator: Time Series Exploration through Hierarchical Clustering
Comparing many long time series is challenging to do by hand. Clustering...
08/15/2019 ∙ by Nicholas Ruta, et al. ∙
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FDive: Learning Relevance Models using Pattern-based Similarity Measures
The detection of interesting patterns in large high-dimensional datasets...
07/29/2019 ∙ by Frederik L. Dennig, et al. ∙
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Visual Pattern-Driven Exploration of Big Data
Pattern extraction algorithms are enabling insights into the ever-growin...
07/03/2018 ∙ by Michael Behrisch, et al. ∙
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Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Neural Sequence-to-Sequence models have proven to be accurate and robust...
04/25/2018 ∙ by Hendrik Strobelt, et al. ∙
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