Change-point detection with supervised learning and feature selection.
Victor EruhimovVladimir MartyanovEugene TuvGeorge C. RungerPublished in: ICINCO-ICSO (2007)
Keyphrases
- change point detection
- supervised learning
- feature selection
- change point
- unsupervised learning
- non stationary
- sequential data
- outlier detection
- singular spectrum analysis
- machine learning
- training data
- high dimensional time series
- normalized maximum likelihood
- dimensionality reduction
- training set
- semi supervised
- mutual information
- feature extraction
- support vector
- feature space
- active learning
- feature set
- model selection
- learning tasks
- learning algorithm
- hidden markov models
- feature subset
- image processing
- information retrieval
- similarity measure
- video sequences
- support vector machine