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What is Multivariate Time Series Classification With WEASE about?

This document discusses a novel method called WEASEL+MUSE for classifying multivariate time series data. It builds multivariate feature vectors from time series data using a sliding window approach applied to each dimension, and extracts discrete features from each window. It then performs feature selection to remove non-discriminative features before classification. The method encodes context between features to create a small but discriminative feature set for classification. It was shown to be accurate o

Author

juan lopez

Language

EN