Dimension reduction in regression using Gaussian Mixture Models.
Majid MirbagheriYanbo XuShihab A. ShammaPublished in: ICASSP (2012)
Keyphrases
- dimension reduction
- partial least squares
- principal component analysis
- high dimensional
- feature extraction
- regression model
- high dimensional problems
- data mining and machine learning
- singular value decomposition
- feature space
- feature selection
- linear discriminant analysis
- high dimensional data
- unsupervised learning
- manifold learning
- low dimensional
- variable selection
- high dimensionality
- cluster analysis
- random projections
- high dimensional data analysis
- preprocessing
- discriminative information
- dimensionality reduction
- regression algorithm
- data points
- support vector
- face recognition
- dimensionality reduction methods
- image processing
- neural network
- dimension reduction methods
- database