MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction.
Li LinZhiqiang LuShuai WangYunhuai LiuZhiqing HongHaotian WangShuai WangPublished in: KDD (2024)
Keyphrases
- multi view
- multi view learning
- spatio temporal
- single view
- learning algorithm
- three dimensional
- multiple cameras
- multiple views
- co training
- d objects
- learning tasks
- camera calibration
- depth map
- range images
- semi supervised
- learning process
- reinforcement learning
- unlabeled data
- semi supervised learning
- learning problems
- surface reconstruction
- prior knowledge
- multi view stereo
- multi view semi supervised learning