Dual Supervised Autoencoder Based Trajectory Classification Using Enhanced Spatio-Temporal Information

Dual Supervised Autoencoder Based Trajectory Classification Using Enhanced Spatio-Temporal Information

With the rapid development of mobile internet and location awareness techniques, massive spatio-temporal data is collected every day. Trajectory classification is critically important to many real-world applications such as human mobility understanding, urban planning, and intelligent transportation...

Full description

Bibliographic Details
Main Authors: Sichong Lu, Ying Xia
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Autoencoder
trajectory classification
recurrence plot
convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/9204708/

Internet

https://ieeexplore.ieee.org/document/9204708/

Similar Items