GiDR-DUN; Gradient Dimensionality Reduction - Differences and Unification.
Andrew DraganovTyrus BerryJakob Rødsgaard JørgensenKatrine Scheel NellemannIra AssentDavide MottinPublished in: CoRR (2022)
Keyphrases
- dimensionality reduction
- high dimensional data
- low dimensional
- statistically significant
- structure preserving
- high dimensional
- principal component analysis
- higher order
- feature extraction
- data representation
- principal components
- pattern recognition
- pattern recognition and machine learning
- individual differences
- absolute difference
- neural network
- high dimensionality
- data points
- linear discriminant analysis
- edge detection
- manifold learning
- dimensionality reduction methods
- feature selection
- metric learning
- random projections
- lower dimensional
- face recognition
- image sequences
- data sets
- semi supervised dimensionality reduction