Recovery of Future Data via Convolution Nuclear Norm Minimization

6 September 2019

Papers citing "Recovery of Future Data via Convolution Nuclear Norm Minimization"

7 / 7 papers shown

Title
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory Hao Shu Jicheng Li Yu Jin Hailin Wang AI4TS 60 0 0 28 Jan 2025
Laplacian Convolutional Representation for Traffic Time Series Imputation Xinyu Chen Zhanhong Cheng HanQin Cai Nicolas Saunier Lijun Sun AI4TS 30 16 0 03 Dec 2022
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery Lijun Ding Liwei Jiang Yudong Chen Qing Qu Zhihui Zhu 31 29 0 23 Sep 2021
Time Series Forecasting via Learning Convolutionally Low-Rank Models Guangcan Liu AI4TS 32 13 0 23 Apr 2021
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm Canyi Lu Jiashi Feng Yudong Chen Wei Liu Zhouchen Lin Shuicheng Yan 56 736 0 10 Apr 2018
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 234 1,900 0 06 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015