Classification of Time-Series Images Using Deep Convolutional Neural Networks

2 Oct 2017Nima HatamiYann GavetJohan Debayle

Convolutional Neural Networks (CNN) has achieved a great success in image recognition task by automatically learning a hierarchical feature representation from raw data. While the majority of Time-Series Classification (TSC) literature is focused on 1D signals, this paper uses Recurrence Plots (RP) to transform time-series into 2D texture images and then take advantage of the deep CNN classifier... (read more)

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