Partial Convolutional LSTM for Spatiotemporal Prediction of Incomplete Data

Partial Convolutional LSTM for Spatiotemporal Prediction of Incomplete Data

Advanced data analysis techniques facilitate data-driven spatiotemporal prediction in various fields. However, in real-world data, missing values are inevitable, which causes the data incomplete and makes predictions more challenging. Although we can train complex spatiotemporal correlations with de...

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Bibliographic Details
Main Authors: Hyesook Son, Yun Jang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Partial convolution
LSTM
incomplete data
Online Access:https://ieeexplore.ieee.org/document/9187792/

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