Discriminating Two Types of Noise Sources using Cortical Representation and Dimension Reduction Technique.
Shiva SundaramShrikanth S. NarayananPublished in: ICASSP (1) (2007)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- variable selection
- low dimensional
- singular value decomposition
- feature space
- data mining and machine learning
- high dimensional data
- feature construction
- high dimensional problems
- cluster analysis
- random projections
- feature selection
- partial least squares
- discriminative information
- high dimensional data analysis
- manifold learning
- high dimensionality
- linear discriminant analysis
- dimensionality reduction
- preprocessing
- manifold embedding
- database
- cortical surface
- input data
- data sources
- pairwise
- dimension reduction methods