Uniqueness of Non-Gaussianity-Based Dimension Reduction.
Fabian J. TheisMotoaki KawanabeKlaus-Robert MüllerPublished in: IEEE Trans. Signal Process. (2011)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional problems
- variable selection
- singular value decomposition
- low dimensional
- data mining and machine learning
- feature selection
- high dimensional
- high dimensional data analysis
- random projections
- manifold learning
- high dimensional data
- cluster analysis
- discriminative information
- dimensionality reduction
- linear discriminant analysis
- unsupervised learning
- feature space
- partial least squares
- preprocessing
- face recognition
- discriminant analysis
- optical flow
- training set
- bayesian networks
- learning algorithm