Dimensionality Reduction with Subspace Structure Preservation.
Devansh ArpitIfeoma NwoguVenu GovindarajuPublished in: CoRR (2014)
Keyphrases
- dimensionality reduction
- low dimensional
- principal component analysis
- high dimensional
- high dimensional data
- feature extraction
- subspace learning
- data representation
- linear projection
- kernel pca
- principal components
- learning algorithm
- input space
- high dimensionality
- lower dimensional
- pattern recognition
- locality preserving projections
- structural information
- metric learning
- random projections
- feature space
- structure preserving
- linear dimensionality reduction
- computer vision