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We present PSEUDo, an adaptive feature learning technique for exploring visual patterns in multi-track sequential data. Our approach is designed with the primary focus to overcome the uneconomic retraining requirements and inflexible representation l
Externí odkaz:
http://arxiv.org/abs/2104.14962
We present PSEUDo, a visual pattern retrieval tool for multivariate time series. It aims to overcome the uneconomic (re- )training with deep learning-based methods. Very high-dimensional time series emerge on an unprecedented scale due to increasing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c898dcc18eed10352b1b5bb02048bca3
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics; January 2023, Vol. 29 Issue: 1 p33-42, 10p
