Multi-scale signed recurrence plot based time series classification using inception architectural networks

Inspired by the great success of deep neural networks in image classification, recent works use Recurrence Plots (RP) to encode time series as images for classification. RP provide rich texture information and construct long-term time correlations, which are effective supplements to the networks. However, RP cannot handle the scale and length variability of sequences. Moreover, RP have serious tendency confusion problem. They cannot represent...