Dimensionality reduction using geometric projections: A new technique.
D. SudhanvaK. Chidananda GowdaPublished in: Pattern Recognit. (1992)
Keyphrases
- dimensionality reduction
- linear projection
- radon transform
- pattern recognition
- high dimensional
- principal component analysis
- low dimensional
- data representation
- feature extraction
- high dimensional data
- random projections
- feature selection
- neural network
- dimension reduction
- linear discriminant analysis
- geometrical properties
- manifold learning
- projection matrix
- high dimensionality
- structure preserving
- data points
- pattern recognition and machine learning
- lower dimensional
- geometric structure
- polyhedral objects
- tomographic reconstruction
- kernel pca
- principal components
- singular value decomposition
- three dimensional
- nonlinear dimensionality reduction
- dimensionality reduction methods
- geometric information
- projective space
- linear dimensionality reduction
- d objects
- coordinate ascent
- image reconstruction from projections