Dimensionality Reduction with Subspace Structure Preservation.
Devansh ArpitIfeoma NwoguVenu GovindarajuPublished in: NIPS (2014)
Keyphrases
- dimensionality reduction
- principal component analysis
- low dimensional
- high dimensional data
- principal components
- lower dimensional
- high dimensional
- feature extraction
- subspace learning
- pattern recognition
- singular value decomposition
- structural information
- manifold learning
- data representation
- data points
- linear dimensionality reduction
- dimensionality reduction methods
- feature selection
- linear projection
- random projections
- metric learning
- input space
- input data
- feature space
- image processing