Feature Extraction for Change-Point Detection using Stationary Subspace Analysis
Duncan A. J. BlythePaul von BünauFrank C. MeineckeKlaus-Robert MüllerPublished in: CoRR (2011)
Keyphrases
- change point detection
- subspace analysis
- non stationary
- feature extraction
- face recognition
- change point
- linear discriminant analysis
- principal component analysis
- subspace methods
- subspace learning
- principle component analysis
- low dimensional
- normalized maximum likelihood
- dimension reduction
- sequential data
- outlier detection
- manifold learning
- mixture model
- image processing
- dimensionality reduction
- preprocessing
- pattern classification
- face images
- blind source separation
- support vector machine svm
- pattern recognition
- feature space
- feature selection
- hidden markov models
- feature vectors
- machine learning
- support vector
- data streams
- linear subspace
- recognition rate
- face detection
- high dimensional data
- image classification
- data mining
- natural images