Dimension Reduction by an Orthogonal Series Estimate of the Probabilistic Dependence Measure.
Wissal DriraWissal NejiFaouzi GhorbelPublished in: ICPRAM (1) (2012)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- high dimensional
- singular value decomposition
- bayesian networks
- feature selection
- high dimensional problems
- data mining and machine learning
- linear discriminant analysis
- random projections
- discriminative information
- high dimensional data
- variable selection
- manifold learning
- partial least squares
- feature space
- dimensionality reduction
- similarity measure
- low dimensional
- high dimensionality
- high dimensional data analysis
- unsupervised learning
- cluster analysis
- generative model
- probabilistic model
- preprocessing
- distance measure
- image data
- intrinsic dimension
- image processing