Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections.
Kimia NadjahiAlain DurmusPierre E. JacobRoland BadeauUmut SimsekliPublished in: NeurIPS (2021)
Keyphrases
- random projections
- dimensionality reduction
- pointwise
- compressive sensing
- compressed sensing
- dimension reduction
- original data
- random sampling
- image reconstruction
- euclidean distance
- sparse representation
- principal component analysis
- data sets
- low dimensional
- hash functions
- high dimensionality
- text classification
- high quality
- data mining
- neural network