Selected article for: "actual infection and pixel level"

Author: swarna kamal paul; Saikat Jana; Parama Bhaumik
Title: A multivariate spatiotemporal spread model of COVID-19 using ensemble of ConvLSTM networks
  • Document date: 2020_4_22
  • ID: nng76upj_16
    Snippet: KL divergence at pixel level is calculated for total infection cases at the end of prediction period to measure the dissimilarity of distribution of predicted infection cases with respect to actual. is softmax function applied after scaling a series in 0 to 1 scale and ( ) is probability distribution of . Softmax is applied to convert total infection cases as probability distribution across pixels......
    Document: KL divergence at pixel level is calculated for total infection cases at the end of prediction period to measure the dissimilarity of distribution of predicted infection cases with respect to actual. is softmax function applied after scaling a series in 0 to 1 scale and ( ) is probability distribution of . Softmax is applied to convert total infection cases as probability distribution across pixels.

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