Supervised Change-Point Detection with Dimension Reduction.
Charles TruongLaurent OudrePublished in: EUSIPCO (2023)
Keyphrases
- dimension reduction
- change point detection
- change point
- unsupervised learning
- feature selection
- non stationary
- outlier detection
- feature extraction
- principal component analysis
- normalized maximum likelihood
- high dimensional
- low dimensional
- sequential data
- variable selection
- supervised learning
- feature space
- singular value decomposition
- linear discriminant analysis
- cluster analysis
- learning algorithm
- high dimensionality
- high dimensional data
- machine learning
- image processing
- semi supervised
- pattern recognition
- preprocessing
- support vector
- maximum likelihood
- face recognition
- databases
- dimensionality reduction