Information Preserving Dimensionality Reduction.
Shrinu KushagraShai Ben-DavidPublished in: ALT (2015)
Keyphrases
- information preserving
- dimensionality reduction
- high dimensionality
- low dimensional
- principal component analysis
- high dimensional data
- high dimensional
- pattern recognition
- feature selection
- feature space
- data representation
- structure preserving
- dimensionality reduction methods
- principal components
- linear discriminant analysis
- preprocessing step
- input space
- linear projection
- random projections
- pattern recognition and machine learning
- manifold learning
- singular value decomposition
- nonlinear dimensionality reduction
- linear dimensionality reduction
- feature extraction
- metric learning
- data sets
- principal components analysis
- euclidean distance
- multidimensional scaling
- sparse representation
- data points
- lower dimensional
- kernel pca
- diffusion maps
- computer vision