Recovery of Future Data via Convolution Nuclear Norm Minimization

Zhang Wayne
Zhang Wayne
Cited by: 0|Bibtex|Views22
Other Links: arxiv.org

Abstract:

This paper is about recovering the unseen future data from a given sequence of historical samples, so called as \emph{future data recovery}---a significant problem closely related to time series forecasting. To address the problem, it is now prevalent to use deep neural networks, which are actually built upon the hypothesis that the des...More

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