Efficient estimates of optimal transport via low-dimensional embeddings.
Patric M. FulopVincent DanosPublished in: CoRR (2021)
Keyphrases
- low dimensional
- high dimensional
- manifold learning
- euclidean space
- high dimensional data
- dimensionality reduction
- feature space
- vector space
- lightweight
- computationally efficient
- nonlinear dimensionality reduction
- input space
- principal component analysis
- data points
- machine learning
- database
- cost effective
- pairwise
- computationally expensive
- optimal solution
- image processing
- estimation error
- optimal design
- lower dimensional
- linear subspace
- data sets