A Tensor Approximation Approach to Dimensionality Reduction.
Hongcheng WangNarendra AhujaPublished in: Int. J. Comput. Vis. (2008)
Keyphrases
- dimensionality reduction
- principal component analysis
- high dimensional data
- tensor product
- high dimensional
- data representation
- pattern recognition
- low dimensional
- high dimensionality
- linear discriminant analysis
- euclidean distance
- dimensionality reduction methods
- pattern recognition and machine learning
- data points
- feature extraction
- feature selection
- nonlinear dimensionality reduction
- random projections
- neighborhood preserving embedding
- manifold learning
- closed form
- high order
- error bounds
- input space
- approximation algorithms
- feature space
- principal components
- singular value decomposition
- lower dimensional
- b spline
- structure preserving
- linear dimensionality reduction
- computer vision
- supervised dimensionality reduction
- data sets