Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models.
Illia HorenkoJohannes Schmidt-EhrenbergChristof SchüttePublished in: CompLife (2006)
Keyphrases
- dimension reduction
- hidden markov models
- principal component analysis
- dimensionality reduction
- linear discriminant analysis
- high dimensional
- low dimensional
- sequential data
- feature extraction
- feature space
- random projections
- speech recognition
- face recognition
- markov models
- principal components
- discriminant analysis
- singular value decomposition
- input data
- face images
- preprocessing
- high dimensionality
- unsupervised learning
- gesture recognition
- data mining
- sequence classification
- hidden state
- dimension reduction methods