CIRL: A Category-Instance Representation Learning Framework for Tropical Cyclone Intensity Estimation.
Dengke WangYajing XuYicheng LuoQifeng QianLv YuanPublished in: ACCV (2) (2022)
Keyphrases
- learning scheme
- learning process
- learning systems
- tropical cyclone
- reinforcement learning
- learning algorithm
- prior knowledge
- supervised learning
- parameter estimation
- main contribution
- databases
- dynamic bayesian networks
- representation scheme
- learning mechanism
- multiple representations
- bayesian networks
- learning tasks
- design principles
- training data
- learning frameworks