Dimensionality Reduction for Wasserstein Barycenter.
Zachary IzzoSandeep SilwalSamson ZhouPublished in: CoRR (2021)
Keyphrases
- dimensionality reduction
- high dimensional
- principal component analysis
- high dimensional data
- pointwise
- pattern recognition
- data representation
- dimensionality reduction methods
- feature extraction
- low dimensional
- high dimensionality
- manifold learning
- random projections
- nonlinear dimensionality reduction
- input space
- lower dimensional
- data points
- preprocessing step
- feature space
- feature selection
- singular value decomposition
- principal components
- linear dimensionality reduction
- sparse representation
- linear discriminant analysis
- structure preserving
- databases
- pattern recognition and machine learning
- diffusion maps
- euclidean distance
- linear combination
- kernel pca
- metric learning
- intrinsic dimensionality
- image sequences
- machine learning