ST-CRMF: Compensated Residual Matrix Factorization with Spatial-Temporal Regularization for Graph-Based Time Series Forecasting.
Jinlong LiPan WuRuonan LiYuzhuang PianZilin HuangLunhui XuXiaochen LiPublished in: Sensors (2022)
Keyphrases
- spatial temporal
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- low rank
- spatio temporal
- recommender systems
- temporal information
- action recognition
- spatial and temporal
- missing data
- factorization methods
- video shots
- semi supervised
- nonnegative matrix factorization
- negative matrix factorization
- spatial information
- tensor factorization
- human actions
- regularization parameter
- machine learning
- object recognition