Active Learning for Video Description With Cluster-Regularized Ensemble Ranking.
David M. ChanSudheendra VijayanarasimhanDavid A. RossJohn F. CannyPublished in: CoRR (2020)
Keyphrases
- active learning
- ranking algorithm
- video content
- video streams
- video sequences
- video data
- neural network
- ensemble learning
- web search
- training set
- data clustering
- feature ranking
- expected loss
- learning algorithm
- machine learning
- ensemble methods
- random forest
- hierarchical clustering
- video analysis
- selective sampling
- real time
- content description
- query by committee
- learning to rank
- ranking functions
- multimedia data
- video frames
- supervised learning
- high level
- multimedia
- base classifiers
- cluster ensemble
- training data
- active learning strategies
- data sets