Wasserstein Distance-Preserving Vector Space of Persistent Homology.
Tananun SongdechakraiwutBryan M. KrauseMatthew I. BanksKirill V. NourskiBarry D. Van VeenPublished in: MICCAI (8) (2023)
Keyphrases
- vector space
- distance preserving
- persistent homology
- low dimensional
- topological features
- high dimensional
- high dimensional data
- random projections
- computational geometry
- original data
- data points
- principal component analysis
- dimensionality reduction
- similarity search
- distance measure
- dimension reduction
- graph properties
- feature vectors
- feature space
- image processing
- machine learning
- nearest neighbor
- training set
- multiscale
- decision trees
- feature selection
- computer vision