Semi-supervised Change Point Detection Using Active Learning.
Arne De BrabandereZhenxiang CaoMaarten De VosAlexander BertrandJesse DavisPublished in: DS (2022)
Keyphrases
- semi supervised
- change point detection
- active learning
- change point
- non stationary
- semi supervised learning
- outlier detection
- singular spectrum analysis
- labeled data
- sequential data
- high dimensional time series
- unlabeled data
- normalized maximum likelihood
- random sampling
- learning algorithm
- machine learning
- supervised learning
- labeled examples
- pool based active learning
- knowledge discovery
- transfer learning
- video sequences
- pairwise
- learning process
- training set
- hidden markov models
- recurrent neural networks
- information theoretic
- pairwise constraints
- constrained clustering
- selective sampling
- data sets