Keyphrases
- dimension reduction
- layer feed forward neural network
- partial least squares
- blind equalization algorithm
- artificial neural networks
- principal component analysis
- high dimensional problems
- feature extraction
- singular value decomposition
- high dimensional data
- high dimensional
- regression model
- manifold learning
- low dimensional
- feature selection
- random projections
- cluster analysis
- linear discriminant analysis
- high dimensionality
- dimensionality reduction
- unsupervised learning
- variable selection
- feature space
- discriminative information
- data sets
- model selection
- high dimensional data analysis
- dimension reduction methods
- regression algorithm
- machine learning
- neural network
- face recognition
- support vector regression
- support vector
- preprocessing