PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback

Author:

Yu Yuncong1ORCID,Kruyff Dylan2,Jiao Jiao1,Becker Tim3,Behrisch Michael1ORCID

Affiliation:

1. Utrecht University, Netherlands

2. NAVARA, Nederland

3. IAV GmbH, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference61 articles.

1. Fast similarity search in the presence of noise, scaling, and translation in time-series databases;lin;Proc of the 21th International Conference on Very Large Data Bases,0

2. Experiencing SAX: a novel symbolic representation of time series

3. Time Series Similarity Measure via Siamese Convolutional Neural Network

4. Fast agglomerative hierarchical clustering algorithm using Locality-Sensitive Hashing

5. An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback;keogh;KDD,0

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