Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis.
Duncan A. J. BlythePaul von BünauFrank C. MeineckeKlaus-Robert MüllerPublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- change point detection
- subspace analysis
- non stationary
- feature extraction
- face recognition
- linear discriminant analysis
- change point
- principal component analysis
- principle component analysis
- subspace methods
- low dimensional
- dimensionality reduction
- normalized maximum likelihood
- image classification
- feature vectors
- dimension reduction
- subspace learning
- preprocessing
- sequential data
- mixture model
- image processing
- outlier detection
- pattern classification
- frequency domain
- feature selection
- pattern recognition
- face images
- linear subspace
- manifold learning
- blind source separation
- independent component analysis
- high dimensional
- support vector machine svm
- generative model
- computer vision
- machine learning