Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach.
Jie BaoJiawei KangZhao YangXinyuan ChenPublished in: Expert Syst. Appl. (2022)
Keyphrases
- multi view
- multi step
- multi view learning
- single view
- multiple cameras
- multiple views
- d objects
- supervised learning
- learning algorithm
- view synthesis
- co training
- active learning
- learning process
- depth map
- learning tasks
- learning problems
- neural network
- loss function
- object recognition
- reinforcement learning
- three dimensional
- multiple viewpoints