Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections.
Kimia NadjahiAlain DurmusPierre E. JacobRoland BadeauUmut SimsekliPublished in: CoRR (2021)
Keyphrases
- random projections
- dimensionality reduction
- pointwise
- compressive sensing
- compressed sensing
- dimension reduction
- image reconstruction
- sparse representation
- random sampling
- original data
- euclidean distance
- principal component analysis
- low dimensional
- hash functions
- data points
- active learning
- distributed source coding
- feature extraction
- high dimensional data
- motion estimation
- preprocessing