Continuously Tracking Core Items in Data Streams with Probabilistic Decays.
Junzhou ZhaoPinghui WangJing TaoShuo ZhangJohn C. S. LuiPublished in: ICDE (2020)
Keyphrases
- data streams
- real time
- incoming data
- uncertain data
- sliding window
- streaming data
- particle filter
- bayesian networks
- stream mining
- sensor networks
- concept drift
- probabilistic logic
- data sets
- target tracking
- appearance model
- object tracking
- moving target
- stream data
- real time tracking
- uncertain data streams
- particle filtering
- change detection
- mean shift
- generative model
- partial occlusion
- robust tracking
- graphical models
- probabilistic model
- database systems
- computer vision